<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.151221.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Effect of Elderly School Policy on Quality of Life among Thailand&#x2019;s Senior Citizens: A Propensity Score Matching Approach</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kratoo</surname>
                        <given-names>Worapath</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0007-5899-1221</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Hounnaklang</surname>
                        <given-names>Nuchanad</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1129-3219</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>College of Public Health Sciences, Chulalongkorn University, Bangkok, Bangkok, 10330, Thailand</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:nuchanad.h@chula.ac.th">nuchanad.h@chula.ac.th</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>7</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>735</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>6</day>
                    <month>6</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Kratoo W and Hounnaklang N</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/13-735/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>As Thailand&#x2019;s population ages, promoting senior citizens&#x2019; quality of life (QoL) is crucial. In 2017, the Ministry of Social Development and Human Security launched the &#x201c;elderly school&#x201d; initiative to foster lifelong learning and enhance the QoL among senior citizens. However, comprehensive evaluations of its impact on QoL remain limited.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This cross-sectional survey aimed to assess the policy&#x2019;s effect on QoL in Phetchabun province, Thailand. Using quota and systematic sampling, 1,374 senior citizens aged 60-80 participated. Propensity score matching (PSM) with a 1:1 match was employed to estimate the average treatment effect (ATE) of attending the elderly school on QoL. Additionally, multiple linear regression was analyzed to assess the association between QoL and its associated factors.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>PSM were matched successfully, the standardized difference was less than 10 percent, and the baseline after matching indicated balances with 687 elderly people in each group. The mean QoL score of the non-attending group was 44.40 (SD = 7.11), and that of the attending group was 57.50 (SD = 7.53). The ATE for elderly people attending school was 10.67 scores (95% CI: 9.67 &#x2013; 11.67 scores) higher than those unattended. Being female, having monthly income higher than 20,000, having employment, having a caregiver, and attendance at elderly school were positively associated with QoL, and the standardized beta coefficients were 0.078, 0.059, 0.094, 0.066, and 0.550, respectively. Additionally, higher education was positively associated with higher QoL.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>The elderly school policy significantly enhanced the QoL of the attending senior citizens. Findings suggest continued collaboration among stakeholders to sustain and optimize this policy for improved seniors&#x2019; QoL, which has the potential to utilize lifelong learning to create an inclusive framework for healthy aging among senior citizens.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Elderly school</kwd>
                <kwd>Health policy</kwd>
                <kwd>Quality of life</kwd>
                <kwd>Propensity score matching</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>A global surge in the elderly population, defined as those aged 60 and above, presents a major challenge and opportunity for healthcare systems worldwide. From 2015 to 2050, the proportion of elders is projected to nearly double, from 12% to 22%
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>, with 80% residing in middle-income countries.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> This trend is particularly evident in Thailand, where the elderly population is expected to reach 17 million by 2040, exceeding one-quarter of the national total.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> This necessitates immediate attention to preparing and evolving healthcare systems to adequately support the QoL of senior citizens.</p>
            <p>Thailand, with its rapidly aging population, stands at the forefront of this global challenge. By acknowledging the urgency of the situation and proactively adapting its healthcare systems, Thailand can not only serve as a model for other countries but also ensure the health and QoL of its senior citizens, paving the way for a brighter future for all.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>The concept of QoL encompasses an individual&#x2019;s or population&#x2019;s overall QoL, integrating both positive and negative experiences over a defined timeframe.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> The World Health Organization (WHO) defines QoL as an individual&#x2019;s subjective perception of their life position, influenced by cultural and value systems.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> This multidimensional concept, as outlined by the WHO, encompasses four key domains: physical health, mental health, social relationships, and the environment.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> QoL serves as a crucial indicator for achieving Sustainable Development Goals (SDGs), particularly for the elderly population, with relevance to SDG 3: Good Health and Well-being.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
            </p>
            <p>Despite achieving a moderate average QoL amongst senior citizens nationwide, Thailand faces disparities in urban-rural QoL, with literature suggesting consistently lower QoL for rural older adults
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> which is similar to Myanmar, and South India
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> This presents a significant challenge for Lomkao district, Phetchabun province, a rural area boasting a 24.8% elderly population and exhibiting moderate QoL scores for elder residents.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Research points beyond individual characteristics such as age, income, education, and chronic health conditions as sole determinants of QoL for older adults. Living arrangements and social interactions have also emerged as crucial factors deserving consideration in an effort to enhance elderly QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Therefore, a comprehensive approach addressing both individual and environmental factors is essential to effectively improve QoL for Thailand&#x2019;s rural elderly population.</p>
            <p>In response to the crucial role of health promotion interventions in improving and maintaining QoL for older adults, numerous such programs have been implemented globally.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> These interventions typically share three core objectives: enhancing functional capacity, promoting self-care behaviours, and preventing or delaying chronic illness onset.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> Implementation often involves collaboration among social welfare organizations, healthcare professionals, and educational systems.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Thailand exemplifies this trend with the 2017 establishment of the elderly school initiative by the Department of Older Persons, Ministry of Social Development and Human Security.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> This program, grounded in the concepts of awareness, empowerment, and lifelong learning, aims to equip older adults with the knowledge and skills necessary to achieve optimal QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup>
            </p>
            <p>In 2018, Lomkao district was identified as one of 73 districts in Thailand by the District Health Board for the implementation of specific programs to address the challenges posed by an aging population. Recognizing the district&#x2019;s demographic shift, the Board selected Lomkao as a priority area due to the prevalence of older adults residing within its boundaries. One of the key initiatives implemented in Lomkao to address this demographic trend is the &#x201c;Elderly School&#x201d; program. This program represents a targeted intervention aimed at improving the well-being and QoL for older adults in the district.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> As of 2022, Thailand boasts a network of 2,370 elderly schools established through partnerships with local administrative organizations (LAOs), private entities, and community groups.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> These schools offer a core curriculum encompassing four key modules: health, social, economic, and environmental education, in which the officers invite elderly people in communities to attend through voluntary participation.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> Program adaptations cater to specific regional contexts, aligning with the curriculum framework developed by the Department of Older Persons (DOP), Ministry of Social Development and Human Security. Annual budgetary allocations for elderly school support have ranged from $283,700 to $425,687 USD over the past five years. Notably, the 2021 allocation fell below the minimum due to the COVID-19 pandemic necessitating online instruction in some areas where there is hardly any regular class.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup>
            </p>
            <p>Recognizing the program&#x2019;s value, alternative funding avenues through LAOs, the Community Health Security Fund, and the Thai Health Promotion Foundation have been established to bolster implementation initiatives.
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> Beyond budgetary considerations, elderly schools demonstrably contribute to active aging, improved QoL, and ongoing learning among senior citizens. They provide valuable social interaction, alleviating loneliness and fostering a sense of community. Moreover, they empower older adults to productively utilize their free time, contributing to a sense of agency and QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup>
            </p>
            <p>The establishment of the Elderly School initiative in Thailand in 2017 aimed to address the growing needs of the nation&#x2019;s aging population. However, despite its implementation across various districts, a comprehensive and dedicated assessment of its impact on senior citizens&#x2019; QoL remains elusive. This lack of evaluation presents a significant gap in understanding the effectiveness of the program and its potential for improvement. Existing research has primarily focused on the program&#x2019;s development and limitations of design, which could not control the influence of covariates. This might lead to a selection bias, leaving a critical gap in understanding its effectiveness.
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> To address this void, the present study employs PSM to evaluate the initiative&#x2019;s causal effect on QoL within an aging society. Through PSM, we compare the QoL of two groups: senior citizens not attending and attending elderly schools. This approach facilitates the creation of comparable groups in real-world settings, mimicking an experimental study while mitigating selection bias and strengthening the robustness of regression analyses. In addition, investigating the association between various factors and QoL. Our findings aim to contribute to the existing body of literature, providing valuable guidance for the future implementation and refinement of lifelong learning initiatives for senior citizens in Thailand.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Research design</title>
                <p>This cross-sectional study was conducted in Lomkao, Phetchabun province, Thailand between December 2022 to June 2023.</p>
            </sec>
            <sec id="sec8">
                <title>Sample size</title>
                <p>The study population consisted of 11,254 elderly individuals aged 60&#x2013;80 years in Lomkao district, Phetchabun province, Thailand.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup> The sample size was calculated for the continuous data since this study analyzed multiple linear regression. A pilot test comparing the QoL between elderly individuals who attended and did not attend elderly school indicated a small effect size of 0.02, a power of 0.8, 13 predictors, and a significance level of 0.05.
                    <sup>
                        <xref ref-type="bibr" rid="ref47">47</xref>
                    </sup> There are 901 elderly people, with a minimum of 451 participants in each group. Inclusion criteria were 1) age between 60 and 80 years 2) residency in Lomkao, Phetchabun province, for at least one year and 3) literacy and proficiency in Thai communication (listening and speaking). The exclusion criteria focused on individuals with mental health illnesses that include anxiety disorders, mood disorders, and physical disabilities that would significantly impede their ability to participate in the study activities.</p>
            </sec>
            <sec id="sec9">
                <title>Sampling technique</title>
                <p>In this study, researchers utilized a combination of quota and systematic sampling techniques. The quota sampling was based on a 1:1 matching model, comparing elderly people who attended an elderly school with those who did not. For systematic sampling, the sampling interval was determined using the formula I = N/n, where &#x201c;I&#x201d; represents the sampling interval, &#x201c;N&#x201d; is the total population (11,254), and &#x201c;n&#x201d; is the sample size (901). This calculation resulted in a sampling interval of approximately 13 (I = 11,254/901 &#x2248; 12.5 &#x2245; 13). Therefore, we included every 13th elderly person in the population who met the eligibility criteria.</p>
            </sec>
            <sec id="sec10">
                <title>Data collection</title>
                <p>Data were collected through face-to-face interviews conducted from December 2022 to June 2023. Prior to data collection, the research team, composed of the lead investigator and five experienced healthcare workers in geriatric care, underwent one week comprehensive training. This training covered the study protocol, interview techniques, and participant selection criteria. During data collection, the research team rigorously adhered to inclusion and exclusion criteria for each potential participant.</p>
                <p>All participants were provided with written informed consent before the interview process began. We thoroughly explained the study&#x2019;s objectives, methods, potential risks and benefits, and participants&#x2019; rights. Each participant received and signed a written consent form, confirming their voluntary participation. Confidentiality was assured, and participants were informed of their right to withdraw from the study at any time without consequences. To ensure data quality, the lead researcher provided ongoing supervision and support to the research assistants throughout the data collection process.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Measurement</italic>
                    </bold>
                </p>
                <p>The questionnaires were used for data collection as follows: part 1: Individual characteristics, part 2: the Activities of Daily Living (ADLs), and part 3: the World Health Organization Quality of Life &#x2013; BREF (WHOQOL-BREF).</p>
                <p>
                    <bold>Part 1</bold>, included 12 questions assessing demographic and socioeconomic factors, including age, gender, educational level, monthly income of the elderly person, employment, number of family members, living arrangement, illnesses, caregiver, and ADLs. Additionally, participation in an elderly school program was recorded.</p>
                <p>
                    <bold>Part 2</bold>, The Barthel Index, an ordinal scale with 10 items, was used to measure ADL performance. Each item, encompassing activities like feeding, toileting, bathing, dressing, and mobility, is scored on a 0-2 scale, reflecting the degree of assistance required. The total score, ranging from 0 to 20, indicates functional capability, with lower scores suggesting greater disability.
                    <sup>
                        <xref ref-type="bibr" rid="ref48">48</xref>
                    </sup>
                </p>
                <p>
                    <bold>Part 3</bold>, we used WHOQOL-BREF (Thai version), in which there are 26 questions, ranging from 26 to 130. This questionnaire contains four domains (physical health, psychological health, social relationships, and environment). According to a 5-point Likert scale, each of these domains was scored.
                    <sup>
                        <xref ref-type="bibr" rid="ref49">49</xref>
                    </sup> Following the T-score, raw scores were transformed into a T-score with a range of 20 to 80, with higher scores denoting better QoL in each domain.</p>
            </sec>
            <sec id="sec11">
                <title>Treatment variable</title>
                <p>The Elderly School program in Thailand operates on a two-semester basis, with each semester consisting of 50 hours (3 hours per week). This collaborative initiative brings together diverse stakeholders, including the government, Local Administrative Organizations (LAOs), local communities, the private sector, and network partners. Their combined contributions ensure the provision of a wide range of activities and essential facilities for program participants.</p>
                <p>The core curriculum for this learning process adheres to the established standards set by the Ministry of Social Development and Human Security. Quality control of teachers and curriculum implementation falls under the responsibility of LAOs, ensuring adherence to national guidelines. However, recognizing the importance of contextually relevant learning, the program allows for flexibility. Additional activities can be specifically tailored to cater to the unique needs and interests of each participating community. This customization plays a crucial role in enhancing engagement and ensuring the program addresses the specific challenges and opportunities faced by local senior citizens.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> In this study, we operationalize the elderly school program as the treatment variable. Individuals who attend more than 80% of classes throughout the program are as &#x201c;attending elderly school&#x201d; while those who do not attend classes regularly are &#x201c;non-attending elderly school&#x201d;.</p>
                <p>The elderly school curriculum consists of physical and mental health, social, economic, and environmental domains. The content can be delivered through workshops, seminars and training. LAOs is the main source for providing staff, financial, and material support, as detailed in 
                    <xref ref-type="table" rid="T1">Table 1</xref>.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>The elderly school curriculum.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Subjects</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Content</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Physical and mental health</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Focusing on understanding and coping with the evolving health needs of elderly populations requires a multifaceted approach that addresses various dimensions of QoL. This encompasses physical, oral, and mental health, nutrition, alongside chronic disease management and responsible medication use. Recognizing the potential value of complementary and integrative practices, such as traditional Thai massage and natural therapies, can further enhance the health care provided to older adults.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Social</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">This subject tackles the crucial task of adapting social activities to better suit the functional abilities of older adults, covering the topics of laws and benefits, aging and living, knowledge exchange, religious principles, meditation, local wisdom transmission, volunteering, technology, music, singing, rhythm activities, and preserving local traditional cultures. The approach emphasizes tailoring activities to individual needs, considering physical limitations, cognitive abilities, sensory impairments, and social and emotional needs.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Economics</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Empowering older adults with the knowledge and skills necessary to achieve financial security and improve their overall QoL, the subject covers such areas as Household Accounting; Sufficiency Economy; Craft Development and Income Generation; Vocational Reskilling and Upskilling, etc.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Environmental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">This subject delves into the crucial topic of raising awareness and shaping positive attitudes towards the environment among older adults. It focuses specifically on environment development, encompassing the creation and maintenance of environments, housing, and infrastructure that promote and enhance their QoL. By fostering environmental awareness, promoting safe and accessible environments, and collaborating with key stakeholders, the subject empowers older adults to live healthier, more fulfilling lives while contributing to the creation of sustainable communities for all.</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec12">
                <title>Covariates</title>
                <p>This study employed PSM to address potential selection bias. Demographic variables were considered to calculate the predicted probability of covariates (gender, age, educational level, monthly income, employment, number of family members, living arrangement, illnesses, caregiver, and ADLs) for each individual. A balancing score of the propensity score, and distribution of measured baseline covariates between elderly people who attend elderly school and those who do not attend were compared in 
                    <xref ref-type="table" rid="T2">Table 2</xref> and 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Demographic characteristics and covariate balancing by standardized difference of non-attending and attending the elderly school.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Factor</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Non-attending elderly school n = 687</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Attending elderly school n = 687</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Standardized difference</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Raw</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Matched</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Gender</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">213</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">31.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">146</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.25</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">474</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">69.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">541</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Age (years) (Mean (SD))</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">67.75 (5.16)</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">68.66 (4.78)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Educational level</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No Education</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.37</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Primary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">413</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">286</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">41.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Secondary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">136</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Higher than Vocational Certificate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">108</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">235</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Monthly income (Baht)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;20,000 or less</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">539</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">464</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67.54</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Higher than 20,001-30,000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">148</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">223</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Employment</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Unemployed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">174</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">113</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.45</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Employed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">513</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">574</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">83.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Number of family members</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Mean (SD)</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">3.69 (1.53)</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">3.75 (1.38)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Living arrangement</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Living alone</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.82</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With family</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">465</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">450</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">65.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With a partner</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">175</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">177</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With relatives</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With friend</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Hypertension</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">357</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">408</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">59.39</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">330</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">48.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">279</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Diabetes</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">516</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">75.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">575</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">83.70</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">171</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">112</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.30</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Heart disease</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">676</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">98.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">682</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">99.27</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.60</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.08</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Caregiver</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">140</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">153</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22.27</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">547</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">79.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">534</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">77.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.09</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">The activities of daily living (ADLs) Mean (SD)</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">18.46 (1.98)</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">18.90 (1.60)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.01</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Density of propensity scores before and after match between non-attending and attending the elderly school.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/165851/bcabbe97-ed76-4a62-aa2f-37c1f08c2a87_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec13">
                <title>Statistical analysis</title>
                <p>Categorical variables were described by frequency and percentage (%). Continuous variables were described by mean and standard deviation (SD). PSM was applied to match between the elderly people who attended the elderly school and those who did not. A regression model based on characteristic variables was used to compute propensity scores for each participant. K-nearest neighbor 1:1 matching model with no replacement and no callipers was employed as the propensity score matching estimator in Python. The standardized difference was used to examine the balance of covariate distribution between groups, which was independent of the unit of measurement. It allows comparison between variables with different units of measurement to calculate the propensity scores with a maximum standardized difference of 10%. Then, the average treatment effects of the population (ATE) were analyzed to investigate the effect size of the elderly schools on QoL, and multiple linear regression was analyzed to investigate the association between elderly school attendance and QoL using Stata 17.0. The level of two-sided statistical significance was set at p &lt; 0.05.</p>
            </sec>
        </sec>
        <sec id="sec14" sec-type="results">
            <title>Results</title>
            <p>There were 1,508 participants who completed the interview in this study. Following PSM, the sample size remained at 1,374 individuals, with 687 in each group (elderly school non-attending group and attending group).</p>
            <sec id="sec15">
                <title>Comparison of the demographic characteristics of elderly people between non-attending and attending the elderly school</title>
                <p>There were 687 participants in each group, with 474 (69.00%) elderly women in the non-attending elderly school group and 541 (78.75%) in the attending group. The average age of elderly people in the non-attending group was 67.75 (SD = 5.16) and in the school-attending group was 68.66 (SD = 4.78). Most participants had completed primary school, monthly income of less than 20,000 baht, and were employed in both groups, as over half of the participants lived with their families and had caregivers to take care of them. The results indicate the standardized difference was less than 10% on all covariates, which identified improved balance between the two groups (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            </sec>
            <sec id="sec16">
                <title>The effect of elderly school on quality of life</title>
                <p>The average overall QoL of elderly people in the attending elderly school group was 57.50 (SD = 7.53) and that of those in the non-attending elderly school group was 44.40 (SD = 7.11). The ATE of overall QoL was 10.67 (95% CI: 9.67&#x2013;11.67, p-value &lt;0.001), indicating a positive effect of attending the elderly school on QoL. Additionally, the ATE between the two groups for QoL domains: physical health, psychological, social relationships, and environmental dimensions were 8.89, 8.17, 6.37, and 8.41, respectively. There was a statistically significant difference in each QoL domain between the two groups (
                    <xref ref-type="table" rid="T3">Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>The average treatment effects (ATE) on quality of life after PSM.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Outcome</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Mean (SD)</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">ATE (scores)</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">SE</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">95% CI of ATE</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">p-value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Non-attending elderly school n = 687</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Attending elderly school n = 687</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Overall QoL</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44.40 (7.11)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57.50 (7.53)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.67 &#x2013; 11.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Physical health</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45.40 (8.09)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">56.22 (8.51)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.60</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.71 &#x2013; 10.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Psychological</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45.61 (8.41)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57.32 (8.57)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.06 &#x2013; 9.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Social relationships</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46.64 (8.80)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54.46 (9.51)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.16 &#x2013; 7.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec17">
                <title>The association between elderly school attendance and quality of life</title>
                <p>A multiple linear regression was conducted to assess the relationship between factors and QoL. As presented in 
                    <xref ref-type="table" rid="T4">Table 4</xref>, QoL was significantly associated with gender, educational level, monthly income, employment, caregiver, and elderly school attendance (F (8, 1365) = 251.88, p &lt; 0.001 
                    <inline-formula>
                        <mml:math display="inline">
                            <mml:msup>
                                <mml:mi>R</mml:mi>
                                <mml:mn>2</mml:mn>
                            </mml:msup>
                            <mml:mspace width="0.25em"/>
                        </mml:math>
                    </inline-formula>= 0.5962 and adjusted 
                    <inline-formula>
                        <mml:math display="inline">
                            <mml:msup>
                                <mml:mi>R</mml:mi>
                                <mml:mn>2</mml:mn>
                            </mml:msup>
                        </mml:math>
                    </inline-formula> = 0.5938). Notably, elderly school attendance showed a strong association with QoL. The unstandardized beta coefficient for elderly school attendance was 10.811. Higher education levels among elderly people were also associated with higher QoL. The unstandardized beta coefficients for primary, secondary, and education higher than vocational certificates are 5.472, 10.090, and 10.157, respectively. This suggests that, for each elderly person with a higher educational level, the QoL score increases by the respective unstandardized beta coefficient (
                    <xref ref-type="table" rid="T4">Table 4</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>The association between elderly school attendance and quality of life.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="3" valign="top">Factors (n=1,374)</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Full model</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Final model</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top">Unstandardized</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standardized</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Unstandardized</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standardized</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">B</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">SE of B</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x03b2;</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">B</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">SE of B</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">&#x03b2;</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Constant</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29.918</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.118</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age (years)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.052</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.034</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.027</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gender</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.812</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.392</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.081
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.754</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.389</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.078
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Educational level</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;No Education</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Primary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.478</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.644</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.279
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.472</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.619</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.279
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Secondary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.965</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.822</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.364
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.090</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.803</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.368
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Higher than vocational certificate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.840</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.443
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.157</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.824</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.448
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Monthly income (Baht)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;20,000 or less</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Higher than 20,001-30,000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.380</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.580</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.062
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.313</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.576</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.059
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Employment</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Unemployed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Employed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.284</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.438</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.095
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.270</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.434</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.094
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Number of family members</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.168</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.119</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.025</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Living arrangement</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Living alone</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With family</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.927</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.794</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.045</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With a partner</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 1.582</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.831</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.070</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With relatives</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.103</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.427</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.001</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;With friend</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.928</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.124</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.008</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Hypertension</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.306</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.365</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.015</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Diabetes</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.499</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.454</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.021</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Heart disease</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.629</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.591</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">- 0.007</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Caregiver</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.528</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.418</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.064
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.574</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.414</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.066
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Elderly school attendance</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ref.</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.674</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.098</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.544
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.811</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.360</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.550
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">The activities of daily living (ADLs)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.066</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.118</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.012</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>p &lt; 0.001.</p>
                            </fn>
                            <fn id="tfn2">
                                <label>**</label>
                                <p>p &lt; 0.005.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec18" sec-type="discussion">
            <title>Discussion</title>
            <p>This study investigates the effect of elderly school policy on QoL across its four domains: physical health, psychological, social relations, and environment. Furthermore, the associations between the factors and QoL were identified. Notably, in our study, the QoL of elderly people in the attending elderly school group was higher than that of those in the non-attending elderly school group, and the ATE indicated a positive effect of attending the elderly school on QoL. This finding is comparable with previous research on elderly schools in the northern and eastern regions of Thailand, which similarly found higher QoL among attending elderly school groups compared to non-attending elderly school groups.
                <sup>
                    <xref ref-type="bibr" rid="ref50">50</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>
                </sup> Physical health was shown to be the highest domain in ATE, followed by the psychological, environmental, and social relationships domains, all of which had similar values except for social relationships. This result reflects the fact that the elderly people emphasized their health deterioration with increasing age and the burden of diseases.
                <sup>
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup>
            </p>
            <p>Moreover, our results resonate with broader international research highlighting the positive impact of interventions based on the concept of lifelong learning. Our finding was consistent with a study in Portugal that investigated the effect of participation in community intervention programs and indicated that QoL was better in the physical domain than others.
                <sup>
                    <xref ref-type="bibr" rid="ref55">55</xref>
                </sup> Similarly, a systematic literature review on the effects of later-life formal education on the QoL of elderly people also revealed a positive impact on QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref56">56</xref>
                </sup> Additionally, a study in Canada regarding community-based participation in programs for mental health found a positive impact on psychological well-being, particularly in the context of non-formal lifelong learning
                <sup>
                    <xref ref-type="bibr" rid="ref57">57</xref>
                </sup> and the elderly individuals attending evening schools for lifelong learning in Korea experienced positive well-being impacts, including in the environmental dimension.
                <sup>
                    <xref ref-type="bibr" rid="ref58">58</xref>
                </sup>
            </p>
            <p>Our study further strengthens the evidence for a significant positive association between elderly school attendance and QoL after adjusting for other independent variables in a multiple linear regression model. This finding mirrors that of a study in Rayong Province, Thailand, which similarly identified the participation of senior citizens in educational management in elderly schools as a positive predictor of QoL, demonstrating the program&#x2019;s potential to elevate QoL among attendees.
                <sup>
                    <xref ref-type="bibr" rid="ref59">59</xref>
                </sup> Furthermore, our results confirmed that sociodemographic factors, including gender, educational level, monthly income, and employment, were significant factors in QoL. For instance, this result was consistent with a study conducted in a rural area of the northern and northeast region of Thailand that found sociodemographic factors related to the elderly&#x2019;QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref60">60</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref61">61</xref>
                </sup> Additionally, male gender, lack of education, and lower economic status are associated with low QOL of elderly people in rural area, India.
                <sup>
                    <xref ref-type="bibr" rid="ref62">62</xref>
                </sup> In Korea, higher monthly income of elderly people had a positive effect on QoL.
                <sup>
                    <xref ref-type="bibr" rid="ref63">63</xref>
                </sup> Furthermore, the presence of a caregiver was a positively significant factor in the QoL of elderly people. This result was consistent with a study conducted by developing caregivers&#x2019; potential to improve the QoL for the elderly in the southern region of Thailand.
                <sup>
                    <xref ref-type="bibr" rid="ref64">64</xref>
                </sup> It is important to note that the specific factors associated with QoL vary across these studies. This variability can be attributed to differences in research methodology.</p>
            <sec id="sec19">
                <title>Strengths and limitations</title>
                <p>This study displays several key strengths that contribute to its significance and pave the way for future research. Firstly, the utilization of PSM and estimation of average treatment effects (ATEs) strengthens the study&#x2019;s internal validity. By creating a setting that mimics real-world conditions, PSM facilitates a comparison between elderly school attendees and non-attendees, minimizing selection bias. Furthermore, it stands as a pioneering analysis of the elderly school policy&#x2019;s influence on QoL. This comprehensive approach provides a nuanced understanding of the policy&#x2019;s multifaceted impact, surpassing previous research that primarily focused on program development.</p>
                <p>However, this study acknowledges several limitations. Firstly, geographical scope: conducted in a single district, the results may not directly generalize to other populations or cultural contexts. Nevertheless, Lomkao district with its significant elderly population serves as a valuable study, offering important insights applicable to similar demographics. Secondly, cross-sectional design: While providing valuable data on QoL and its association with elderly school attendance, the cross-sectional design restricts the ability to establish causal relationships. Longitudinal studies are needed to definitively examine the impact of the policy over time. Future studies may benefit from incorporating additional assessments and corroborative data sources.</p>
            </sec>
            <sec id="sec20">
                <title>Policy implications and recommendations</title>
                <p>The findings of this study offer profound policy implications and recommendations towards optimizing Thailand&#x2019;s approach to senior citizens through lifelong learning initiatives like the elderly school program. 1) Integration into broader health promotion strategies: recognizing the significant QoL improvements associated with elderly school attendance underscores the imperative to embed this program within broader health promotion strategies for aging populations. This integration can leverage synergies between lifelong learning and other QoL initiatives. 2) Fostering continuous education policies: our results further advocate for the development of dedicated policies specifically aimed at supporting and promoting continuous education among senior citizens. Such policies could range from targeted funding mechanisms for elderly school expansion to incentivizing the creation of age-friendly learning materials and curricula. 3) Collaborative action for strong support systems: to maximize the impact of elderly schools and similar initiatives, we propose enhanced collaboration and awareness promotion among relevant authorities and stakeholders. This could involve partnerships between government agencies, community organizations, and the private sector to foster robust support systems for aging societies, prioritizing elderly schools, health promotion programs, and QoL initiatives. 4) Rural-specific models for inclusive QoL enhancement: recognizing the unique needs and challenges of rural elderly populations, we strongly recommend the development and promotion of elderly school models specifically tailored for rural communities. These models may require adaptations to curriculum content, delivery methods, and resource allocation to ensure equitable access and maximize QoL improvements for all senior citizens regardless of location. By embracing these policy implications and recommendations, Thailand can leverage the power of lifelong learning to establish a comprehensive and inclusive framework for healthy aging within its growing senior population.</p>
            </sec>
        </sec>
        <sec id="sec21" sec-type="conclusion">
            <title>Conclusion</title>
            <p>The present study underscores the elderly school policy as a potentially impactful health promotion intervention, offering valuable insights into its effectiveness. Notably, the study reveals significantly higher overall QoL, and improvements across specific domains, among senior citizens attending elderly schools compared to their non-attending counterparts. Additionally, attendance at elderly schools emerges as a significant predictor of QoL, highlighting the program&#x2019;s direct contribution to QoL. While certain sociodemographic factors also exhibit significant associations with QoL, the study&#x2019;s findings provide compelling evidence that the lifelong learning policy embodied by elderly schools has demonstrably enhanced the QoL of senior citizens in Thailand.</p>
            <p>To maximize the program&#x2019;s potential, policymakers should prioritize robust support efforts across various domains. Crucial areas include adequate human resources, dedicated financial resources, well-equipped facilities, and effective management structures. Furthermore, encouraging collaboration with LAOs, communities, and the private sector can play a vital role in promoting and expanding the implementation of elderly schools. By prioritizing such strategic investments and collaborative efforts, Thailand can leverage the powerful potential of lifelong learning initiatives to significantly improve the QoL of its aging population.</p>
            <sec id="sec22">
                <title>Ethical and consent</title>
                <p>This study received ethical approval from the Institutional Review Board (IRB) of Phetchabun Hospital (approval number IEC-20-2565, date: November 9, 2022). The study adhered to the ethical principles outlined in the Declaration of Helsinki, The Belmont Report, CIOMS Guideline, and International Conference on Harmonization in Good Clinical Practice (ICH-GCP). Written informed consent was obtained from all participants before the interview process began. Participants were informed that they could withdraw from the study at any time without providing a reason. The confidentiality of participant data was ensured throughout the entire study.</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec25" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec26">
                <title>Underlying data</title>
                <p>Figshare: Effect of elderly school policy on quality of life among Thailand&#x2019;s senior citizens, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.25894831.v2">https://doi.org/10.6084/m9.figshare.25894831.v2</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref65">65</xref>
</sup>
                </p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Data.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Ethical considerationsap</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Participant information sheets and consent forms</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Questionnaire</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
            <sec id="sec27">
                <title>Extended data</title>
                <p>Questionnaire, ethical considerations, participant information sheets and consent forms were provided in data availability 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.25894831.v2">https://doi.org/10.6084/m9.figshare.25894831.v2</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref65">65</xref>
</sup>
                </p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>We would like to express our genuine appreciation to all participants in the dissertation seminars at the College of Public Health Sciences, the research assistants involved in this research, the Celebration of Chulalongkorn University 100th Anniversary Scholarship and all the participants in this study. We are also immensely grateful to Dr. Suwanchai Hounnaklang for the comments and editing on an English version of the manuscript, despite the fact that any mistakes are our own.</p>
        </ack>
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                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
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                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport310490" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.151221.1"/>
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        <body>
            <p>Title: Effect of Elderly School Policy on Quality of Life among Thailand&#x2019;s Senior Citizens: A Propensity Score Matching Approach.</p>
            <p> </p>
            <p> After conducting a thorough analysis of all your articles, this manuscript seeks to assess the impact of geriatric education on the quality of life of older individuals. The findings of this article are essential for informing government policies aimed at enhancing the quality of life for this specific demographic. The author employs statistical tools to mitigate biases and apply the results to favorable health outcomes. However, there are certain aspects that leaders should comprehend and acknowledge:</p>
            <p> </p>
            <p> 1. Calculation of the required sample size: Please provide further elaboration on the concept of "effect size = 0.02," including information on how to compute it and the specific value obtained from the pilot study.</p>
            <p> 2. Study samples: This study employed quota and systematic simple random sampling techniques, which can be considered a two-step sampling process or referred to as multi-stage random sampling. In this section, I suggest that the author include a CONSORT diagram detailing the process of participant enrollment in the trial, which would enhance the reader's comprehension.</p>
            <p> 3. Results: This study employed the beta coefficient to represent the extent of the study's influence. Given that this study used multiple linear regression to assess the impact of covariates on quality of life (QOL), it is necessary to report the mean difference.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Nursing and Public Health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment13613-310490">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Kratoo</surname>
                            <given-names>Worapath</given-names>
                        </name>
                        <aff>College of Public Health Scien, Chulalongkorn University, Bangkok, Bangkok, Thailand</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>23</day>
                    <month>3</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We sincerely appreciate the reviewer's insightful comments, which have significantly helped us to improve the clarity of our manuscript. We have addressed each point as follows:</p>
                <p> </p>
                <p> 
                    <bold>Comment 1: Calculation of the Required Sample Size: Effect Size</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response: </bold>An effect size of 0.02 in the sample size calculation, derived from a pilot study comparing QoL between the means of the two groups (attending and not attending elderly school) divided by the standard deviation.</p>
                        </list-item>
                    </list> 
                    <bold>Comment 2: Study Samples: Sampling Process and CONSORT Diagram</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> We have already added CONSORT diagram</p>
                        </list-item>
                    </list> 
                    <bold>Comment 3: Results: Beta Coefficients and Mean Differences</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> In our analysis, we have chosen to present Average Treatment Effects (ATE) as our primary measure of impact, as these values provide a more robust estimate of causal effect by accounting for potential confounding variables. The ATEs reported in our results section represent the estimated average effect of each variable on quality of life after controlling for other covariates in the model. We believe this approach is more appropriate for our study design than unadjusted mean differences because it addresses potential selection bias and confounding factors that could influence the outcomes.</p>
                        </list-item>
                    </list> We believe that these revisions have addressed the reviewer's concerns and significantly improved the manuscript. We are grateful for the opportunity to enhance the quality of our work.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report302071">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165851.r302071</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Conduah</surname>
                        <given-names>Andrew Kweku</given-names>
                    </name>
                    <xref ref-type="aff" rid="r302071a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6716-0939</uri>
                </contrib>
                <aff id="r302071a1">
                    <label>1</label>University of Professional Studies, Madina, Ghana</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>9</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Conduah AK</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport302071" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.151221.1"/>
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        <body>
            <p>
                <bold>Effect of Elderly School Policy on Quality of Life among Thailand&#x2019;s Senior Citizens: A Propensity Score Matching Approach.</bold>
            </p>
            <p> </p>
            <p> 
                <bold>Summary of the Manuscript:</bold>
            </p>
            <p> This manuscript evaluates the impact of Thailand&#x2019;s 'elderly school' initiative on the quality of life (QoL) among senior citizens using a propensity score matching (PSM) approach. The study, conducted in Phetchabun province, found that attending the elderly school significantly improved QoL compared to non-attendees, offering a beacon of hope for the elderly population. The research also identified several factors positively associated with QoL, including gender, income, employment, caregiving, and education.</p>
            <p> 
                <bold>Evaluation of the Introduction</bold>
            </p>
            <p> 
                <bold>Global Context:</bold> The introduction effectively situates the research within the global context by highlighting the significant increase in the elderly population worldwide. It references the international trend of an ageing population, emphasizing the impact on healthcare systems. Statistics about the projected growth of the elderly population from 2015 to 2050 and the concentration in middle-income countries provide a strong foundation for understanding the global scale of the issue. The comparison with other regions, such as South India and Myanmar, also enhances the global perspective.</p>
            <p> 
                <bold>Research Problem Articulation and Justification:</bold> The research problem is well-articulated and justified. The introduction clearly identifies the urgent need for effective interventions to improve senior citizens' quality of life (QoL) in the face of the ageing population in Thailand. The discussion on the disparities in QoL between urban and rural areas, as well as the specific context of Lomkao district, further justifies the need for the study. The problem is contextualized by noting the lack of comprehensive evaluations of the elderly school initiative&#x2019;s impact, which underscores the significance of the research.</p>
            <p> 
                <bold>Objectives:</bold> The introduction does not explicitly state the research objectives. While the problem is well-defined and justified, and the gap in the literature is highlighted, the study's specific aims should be more clearly articulated. For instance, the introduction could explicitly state that the study aims to evaluate the causal effect of the elderly school initiative on QoL using propensity score matching (PSM) and to investigate the association between various factors and QoL among senior citizens.</p>
            <p> 
                <bold>Opinion:</bold> The introduction provides a robust and comprehensive background for the study. It effectively places the research in a global context, identifies the problem, and justifies the need for the study. However, the specific research objectives should be clearly stated to strengthen the introduction. This will provide readers with a clear understanding of the study&#x2019;s aims and how it intends to address the identified gap in the literature. Additionally, expanding the discussion on similar interventions in other regions could further enhance the global context and relevance of the research. Overall, the introduction sets a solid foundation for the study but would benefit from a more explicit articulation of the research objectives.</p>
            <p> </p>
            <p> 
                <bold>Methodology</bold>
            </p>
            <p> 1. 
                <bold>Research Design</bold>
            </p>
            <p> 
                <bold>Cross-Sectional Study:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> The cross-sectional design is suitable for simultaneously assessing the prevalence of characteristics or conditions. This study is used to compare the quality of life (QoL) of elderly individuals who attended and did not attend an elderly school. This design effectively examines differences in QoL and determines associations with the elderly school program.</p>
                    </list-item>
                </list> 2. 
                <bold>Sample Size</bold>
            </p>
            <p> 
                <bold>Sample Size Calculation:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> The sample size calculation is based on continuous data and considers effect size, power, predictors, and significance level. The study's sample size of 901 participants is derived from these calculations, ensuring sufficient statistical power for detecting meaningful differences.</p>
                    </list-item>
                </list> 3. 
                <bold>Sampling Technique</bold>
            </p>
            <p> 
                <bold>Quota and Systematic Sampling:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> Combining quota sampling with systematic sampling ensures a representative sample of elderly individuals attending and not attending the elderly school. Quota sampling ensures demographic representation, while systematic sampling introduces randomness into the selection process.</p>
                    </list-item>
                </list> 4. 
                <bold>Data Collection</bold>
            </p>
            <p> 
                <bold>Face-to-Face Interviews:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> Face-to-face interviews effectively collect detailed and accurate data concerning literacy or language barriers. The research team&#x2019;s training ensures consistency and reliability in data collection.</p>
                    </list-item>
                </list> 5. 
                <bold>Measurement</bold>
            </p>
            <p> 
                <bold>Instruments Used:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Demographic and Socioeconomic Factors:</bold> Detailed questionnaires assess various factors relevant to QoL.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Activities of Daily Living (ADLs):</bold> The Barthel Index is an established tool for measuring ADL performance, suitable for evaluating functional capacity.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>WHOQOL-BREF:</bold> This validated instrument assesses QoL across multiple domains. Using the Thai version ensures cultural and linguistic relevance.</p>
                    </list-item>
                </list> 6. 
                <bold>Treatment Variable</bold>
            </p>
            <p> 
                <bold>Elderly School Program:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> The definition and criteria for attendance in the elderly school program are clear and relevant to the study's objectives. Participants are categorised based on their attendance, which aligns with the study&#x2019;s aim to evaluate the program&#x2019;s impact.</p>
                    </list-item>
                </list> 7. 
                <bold>Covariates and Propensity Score Matching (PSM)</bold>
            </p>
            <p> 
                <bold>PSM for Addressing Selection Bias:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> PSM is a robust method for controlling confounding variables and ensuring balanced groups. Demographic and socioeconomic factors are used as covariates, enhancing comparability between attendees and non-attendees of the elderly school.</p>
                    </list-item>
                </list> 8. 
                <bold>Statistical Analysis</bold>
            </p>
            <p> 
                <bold>Analysis Methods:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Appropriateness:</bold> The use of PSM, standardised differences, and multiple linear regression is appropriate for analysing the effect of the elderly school program on QoL. These methods effectively control for confounding and assess the treatment's impact.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Results</bold>
            </p>
            <p> 
                <italic>
                    <bold>Demographic Characteristics of the Participants</bold>
                </italic>
            </p>
            <p> A total of 1,508 participants completed the interview. After Propensity Score Matching (PSM), 1,374 individuals remained, with 687 participants in the non-attending and attending elderly school groups. In the non-attending group, 474 (69.00%) were women, and 541 (78.75%) were women in the attending group. The average age in the non-attending group was 67.75 years (SD = 5.16), while in the attending group, it was 68.66 years (SD = 4.78). Most participants in both groups had completed primary school, had a monthly income of less than 20,000 baht, and were employed. More than half of the participants lived with their families and had caregivers. The standardised difference was less than 10% for all covariates, indicating improved balance between the two groups (Table 2).</p>
            <p> 
                <italic>
                    <bold>Quality of Life Outcomes</bold>
                </italic>
            </p>
            <p> The average overall Quality of Life (QoL) score was 57.50 (SD = 7.53) in the attending group and 44.40 (SD = 7.11) in the non-attending group. The Average Treatment Effect (ATE) of attending elderly school on overall QoL was 10.67 (95% CI: 9.67&#x2013;11.67, p &lt; 0.001). The ATEs for QoL domains were as follows: physical health (8.89), psychological (8.17), social relationships (6.37), and environmental (8.41). Each domain showed a statistically significant difference between the two groups (Table 3).</p>
            <p> 
                <italic>
                    <bold>Associations Between Elderly School Attendance and QoL</bold>
                </italic>
            </p>
            <p> Multiple linear regression analysis revealed that QoL was significantly associated with gender, educational level, monthly income, employment, caregiver presence, and elderly school attendance (F (8, 1365) = 251.88, p &lt; 0.001, R&#x00b2; = 0.5962). Elderly school attendance had a strong positive association with QoL, with an unstandardised beta coefficient of 10.811. Higher education levels were also associated with higher QoL scores (Table 4).</p>
            <p> 
                <bold>Discussion</bold>
            </p>
            <p> This study examined the impact of attending an elderly school on QoL across four domains: physical health, psychological well-being, social relationships, and environment. The findings revealed that elderly school attendance significantly improved QoL compared to non-attendance. The positive effect of elderly school attendance was consistent with previous research in different regions of Thailand, which also found higher QoL among school attendees. The highest impact was observed in the physical health domain, followed by the psychological, environmental, and social relationships domains.</p>
            <p> The study's results align with international research, highlighting the benefits of lifelong learning for elderly populations. Studies from Portugal, Canada, and Korea have observed similar positive impacts on QoL, underscoring the global relevance of these findings.</p>
            <p> 
                <bold>Strengths and Limitations</bold>
            </p>
            <p> The study's strengths include using PSM to enhance internal validity and provide a realistic comparison between groups. It is one of the first to analyze the elderly school policy's impact on QoL comprehensively.</p>
            <p> However, limitations include the study's geographical scope, as it was conducted in a single district, limiting generalizability. The cross-sectional design also restricts the ability to establish causality, and future longitudinal studies are needed to confirm these findings.</p>
            <p> 
                <bold>Policy Implications and Recommendations</bold>
            </p>
            <p> The findings suggest important policy implications for optimizing Thailand's approach to ageing populations. The study recommends integrating elderly schools into broader health promotion strategies, developing continuous education policies for seniors, fostering stakeholder collaboration, and creating rural-specific models to enhance QoL for elderly populations in similar contexts.</p>
            <p> </p>
            <p> The conclusion is well-structured and effectively summarizes the essential findings and implications of the study. Here&#x2019;s a brief evaluation: 
                <list list-type="order">
                    <list-item>
                        <p>
                            <bold>Clear Summary of Findings</bold>: The conclusion restates the primary outcomes, particularly the positive impact of elderly school attendance on Quality of Life (QoL). It effectively highlights the significance of these schools in enhancing overall QoL among senior citizens in Thailand.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Implications for Policy</bold>: The discussion on policy implications is well-founded. By recommending robust support across various domains (human resources, finances, facilities, and management), the conclusion addresses practical steps that policymakers can take to enhance the program's effectiveness.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Encouragement of Collaboration</bold>: A strategic recommendation is to emphasise collaboration with local administrative organisations (LAOs), communities, and the private sector. This suggests a comprehensive approach to expanding the program and ensures the reader understands the context needed for success.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Forward-looking Perspective</bold>: The conclusion reflects on the current findings and looks ahead, suggesting how Thailand can further leverage these initiatives to improve the QoL of its ageing population. This gives the study a forward-looking angle, which is valuable in research conclusions.</p>
                    </list-item>
                </list> 
                <bold>Minor Suggestions for Enhancement</bold>: 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Reinforce Study Limitations</bold>: Depending on what was discussed earlier in the paper, briefly mentioning any limitations or areas for future research here might be helpful. This adds balance and shows a critical engagement with the study&#x2019;s scope.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Broaden the Context</bold>: While the focus on Thailand is appropriate, you could briefly mention how these findings might inform similar initiatives in other countries, especially those with ageing populations, to widen the study's impact.</p>
                    </list-item>
                </list> Overall, the conclusion is appropriate, but adding a sentence or two to address limitations or broader implications could make it even stronger.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>&#x00a7;&#x00a0; Population Estimates and Projections.&#x00a7;&#x00a0; Population Health and Mortality- Health Emergencies &amp; Preparedness, Ageing &amp; Intergeneration Relations, and Non-Communicable Disease &amp; Health Projection (Physical Activity, Obesity, Tobacco Control, etc.)&#x00a7;&#x00a0; Business Demography&#x00a7;&#x00a0; Business Policy and Strategy&#x00a7;&#x00a0; Business Management&#x00a7;&#x00a0; Public Administration, Entrepreneurial Innovation</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment13612-302071">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Kratoo</surname>
                            <given-names>Worapath</given-names>
                        </name>
                        <aff>College of Public Health Scien, Chulalongkorn University, Bangkok, Bangkok, Thailand</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>23</day>
                    <month>3</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We sincerely appreciate the reviewer's insightful comments, which have significantly helped us to improve the clarity of our manuscript. We have addressed each point as follows:</p>
                <p> </p>
                <p> 
                    <bold>Suggestion 1: Reinforce Study Limitations</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response: </bold>Thank you for your thoughtful suggestion to reinforce the study limitations. We would like to note that the manuscript already includes a detailed discussion of the study limitations in the 'Strengths and limitations' section. Specifically, we have addressed geographical limitations (the single-district scope and generalizability concerns), methodological limitations (cross-sectional design and its constraints on establishing causality), and have suggested directions for future research including longitudinal studies and additional assessment approaches.&#x00a0;</p>
                        </list-item>
                    </list> 
                    <bold>Suggestion 2: Broaden the Contex</bold>t 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response: </bold>Thank you for your suggestion to broaden the context. We agree this would strengthen the paper's impact. While our policy implications section currently focuses on the Thai context, we will add a paragraph explicitly discussing how our findings could inform similar initiatives in other countries with aging populations. This addition will highlight the potential transferability of our findings regarding elderly education models to various cultural and socioeconomic contexts globally, particularly in other middle-income countries experiencing rapid demographic aging.</p>
                        </list-item>
                    </list> </p>
                <p> We believe that these revisions have addressed the reviewer's concerns and significantly improved the manuscript. We are grateful for the opportunity to enhance the quality of our work.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report310486">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165851.r310486</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mon</surname>
                        <given-names>Aye Sandar</given-names>
                    </name>
                    <xref ref-type="aff" rid="r310486a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3070-1521</uri>
                </contrib>
                <aff id="r310486a1">
                    <label>1</label>University of Public Health, Yangon, Myanmar</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>8</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Mon AS</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport310486" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.151221.1"/>
            <custom-meta-group>
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                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>General comment</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The manuscript is well written and the study findings could contribute to the substantial policy implication.</p>
                    </list-item>
                </list> 
                <bold>Specific comments</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>In sampling technique, the researchers applied quota and systematic sampling. For systematic sampling, how to calculate the sampling interval was described but I did not find about the random start. Could you please clarify it?</p>
                    </list-item>
                    <list-item>
                        <p>In data collection method, was any pre-testing conducted? If so, please mention the procedure and the results including the reliability of the questionnaire and participants&#x2019; understanding of the question items.</p>
                    </list-item>
                    <list-item>
                        <p>According to previous literature and evidence from international studies, in addition to the factors you considered as covariates in the statistical model, the social support and mental health status such as depression have been recognized as the important predictors for QoL. Although your questionnaire included the items assessing the social support and mental health status (DASS-21), why weren&#x2019;t these variables considered as covariates in the statistical model?</p>
                    </list-item>
                    <list-item>
                        <p>While presenting the results of multiple linear regression in &#x201c;Table 4&#x201d;, as the variable &#x201c;elderly school attendance&#x201d; is the main factor of interest, this variable should be described first instead of being the second-to-last description.</p>
                    </list-item>
                    <list-item>
                        <p>I did not find the statistical procedures for assumption checks for multiple linear regression (regression diagnostics) in the 'Methods' or 'Results' sections. Were these tests performed? If not, please check the necessary assumptions, and if they were, please mention the results in the manuscript.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>My areas of research include maternal health and other public health-related topics, epidemiological studies in communicable and non-communicable diseases, and the application of advanced statistical models in various types of research.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment13611-310486">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Kratoo</surname>
                            <given-names>Worapath</given-names>
                        </name>
                        <aff>College of Public Health Scien, Chulalongkorn University, Bangkok, Bangkok, Thailand</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>23</day>
                    <month>3</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We sincerely appreciate the reviewer's insightful comments, which have significantly helped us to improve the clarity of our manuscript. We have addressed each point as follows:</p>
                <p> </p>
                <p> 
                    <bold>Comment 1: Sampling Technique (Systematic Sampling - Random Start)</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> Thank you for pointing out the omission regarding the random start in our systematic sampling procedure. To clarify, we have now added this important information to the sampling technique section. Specifically, we used a random number generator to select a starting point between 1 and 13, and from this random start, we then selected every 13th elderly person in the population who met our eligibility criteria. This random start was essential to ensure the systematic sample maintained randomness properties.</p>
                        </list-item>
                    </list> 
                    <bold>Comment 2: Data Collection Method (Pre-testing and Reliability)</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> We conducted a pilot study for pre-testing, and the reliability of the questionnaire was evaluated using Cronbach's alpha. All items demonstrated reliability coefficients between 0.80-0.83, indicating good internal consistency. These reliability measures have been incorporated into the methodology section.</p>
                        </list-item>
                    </list> 
                    <bold>Comment 3: Covariates (Social Support and Mental Health)</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> The propensity score matching (PSM) analysis, we focused on demographic characteristic variables that enable the matching of similar characteristics, thus maintaining&#x2019;s model simplicity, focusing on direct effects rather than confounding relationships that could complicate analysis.</p>
                        </list-item>
                    </list> 
                    <bold>Comment 4: Presentation of Multiple Linear Regression Results (Elderly School Attendance)</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> We agree that the variable 'elderly school attendance, being the main factor of interest, should be highlighted. In the revised manuscript, we have reordered the results in Table 4.</p>
                        </list-item>
                    </list> 
                    <bold>Comment 5: Regression Diagnostics (Assumption Checks)</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Response:</bold> There is no multicollinearity, as indicated by the VIF scores, which are all less than 10 in Table 4.</p>
                        </list-item>
                    </list> We believe that these revisions have addressed the reviewer's concerns and significantly improved the manuscript. We are grateful for the opportunity to enhance the quality of our work.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
