<?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.174519.1</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>Quality of Life of People Living with Virally Suppressed HIV in the Eastern Cape Province of South Africa&#x202f;</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Nomatshila</surname>
                        <given-names>Zanele Benedict</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</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/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0000-7286-7584</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gonah</surname>
                        <given-names>Laston</given-names>
                    </name>
                    <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/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pulido-Estrada</surname>
                        <given-names>Guillermo Alfredo</given-names>
                    </name>
                    <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/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6485-2059</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Faleni</surname>
                        <given-names>Monwabisi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <uri content-type="orcid">https://orcid.org/0009-0003-6292-1956</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nomatshila</surname>
                        <given-names>Sibusiso Cyprian</given-names>
                    </name>
                    <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/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Apalata</surname>
                        <given-names>Teke Ruffin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>School of Public Health, Walter Sisulu University, Mthathja, Eastern Cape, 5117, South Africa</aff>
                <aff id="a2">
                    <label>2</label>Department of Social Work, Walter Sisulu University, Mthatha, Eastern Cape, 5117, South Africa</aff>
                <aff id="a3">
                    <label>3</label>University of Stirling Faculty of Health Sciences and Sport, Stirling, Scotland, UK</aff>
                <aff id="a4">
                    <label>4</label>WSU Society and Health Research Institute, Walter Sisulu University, Mthatha, Eastern Cape, 5117, South Africa</aff>
                <aff id="a5">
                    <label>5</label>School of Pathology, Walter Sisulu University, Mthatha, Eastern Cape, 5117, South Africa</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:znomatshila@wsu.ac.za">znomatshila@wsu.ac.za</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>9</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>898</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>28</day>
                    <month>5</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Nomatshila ZB et al.</copyright-statement>
                <copyright-year>2026</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/15-898/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Viral suppression in people living with HIV (PLH) positively affects their quality of life and lifespan due to long-term Antiretroviral Therapy (ART). However, this treatment can also lead to various issues, including metabolic, physical, psychosocial, and economic challenges. Many individuals who achieve viral suppression (VL) still face significant difficulties that adversely affect their overall quality of life.</p>
                </sec>
                <sec>
                    <title>Objectives</title>
                    <p>To measure Quality of Life (QoL) domains using the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) among People Living with Immunodeficiency Virus who achieved Viral Load Suppression.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A descriptive cross-sectional study of 244 HIV-virally suppressed adult participants was conducted across the Eastern Cape Province. The QoL was assessed using the WHOQOL-BREF questionnaire, where mean scores for each of the 4 domains were calculated and transformed to a 0&#x2013;100 scale.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The overall quality of life (QoL) assessment yielded a moderate general score of 50.5 (SD&#x00a0;=&#x00a0;12.1) across four domains. Participants rated their physical health highest with a mean score of 55.9 (SD&#x00a0;=&#x00a0;17.6), while scores for social relationships and psychological health were both 51.3 (SD&#x00a0;=&#x00a0;20.1 and SD&#x00a0;=&#x00a0;15.9, respectively), and the environmental domain scored the lowest at 43.6 (SD&#x00a0;=&#x00a0;13.7). This was accompanied by moderate perceived overall self-rated health status, where higher educational level, employment, and higher income were significantly associated with higher scores for each of the four QoL domains (p&#x00a0;&lt;&#x00a0;0.05, respectively).</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Quality of life; HIV</kwd>
                <kwd>viral suppression</kwd>
                <kwd>physical health</kwd>
                <kwd>psychological health; self-rated health.&#x202f;</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100001322">
                    <funding-source>South African Medical Research Council</funding-source>
                    <award-id>MRC-RFACC01-2014</award-id>
                </award-group>
                <funding-statement>The work reported herein was made possible through funding by the South African Medical Research Council through its Division of Research Capacity Development under the SAMRC Research Capacity Development Initiative (MRC-RFACC 01-2014), from funding received from the South African National Treasury. The content hereof is the sole responsibility of the authors and does not necessarily represent the official views of the SAMRC or the funders.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Successful Human Immunodeficiency Virus (HIV) treatment through antiretroviral therapy (ART) is known to significantly contribute to viral suppression and consequently quality of life (QoL) improvements in people living with HIV. Existing research evidence has linked HIV treatment success and viral load suppression (VLS) to several benefits, including increased life expectancy, increased productivity and improved QoL domains - physical health, psychological, social relationships and environment domains.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>According to UNAIDS, VLS is a significant indicator of ART treatment success, characterised by a reduction of viral load to undetectable levels (&lt;1000 copies/mL) in HIV infected individuals.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> The VLS results in reduced viral transmission, improved immunity, and increased life expectancy among HIV-infected individuals, thereby implying better productivity and better QoL across all domains.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>According to the World Health Organization (WHO), QoL is a multidimensional measurement of an individual&#x2019;s perceived well-being on several dimensions, including their physical and psychological health, environment, and social relationships.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> The World Health Organisation Quality of Life Brief Version (WHOQOL-BREF) is a cross-culturally applicable and validated measurement tool that assesses QoL using 26 standardised questions on the four QoL domains, namely physical health, psychological, social relationships and environment, with 5-point Likert scale responses per question.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>,
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>An estimated 30.7 million people out of 39.9 million PLH were accessing ART globally, and 72% of them were virally suppressed.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Sub-Saharan Africa is the region with the highest numbers of PLHIV (20.8 million out of 39.9 million), PLH on ART (84%) and viral suppression rate (76%), relative to other regions.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> South Africa has been ranked among the top 5 countries with the highest HIV prevalence in the world, with 18.8% of the population living with HIV and 81.2% of those virally suppressed.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> The Eastern Cape Province (ECP), where this study was conducted, is among the top 4 provinces with the highest HIV prevalence rate (18.8%) and highest HIV viral suppression rate (80.2%).
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>During the 2014 International AIDS Conference held in Melbourne, the Joint United Nations Programme on HIV/AIDS introduced the 90&#x2013;90-90 targets aimed at speeding up initiatives to eliminate the AIDS epidemic by the year 2030. These targets were reviewed in 2018 by the United Nations.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> The 90&#x2013;90-90 and 95&#x2013;95-95 initiatives establish targeted health goals to be realized by the years 2020 and 2030, respectively. The aim is to ensure that by this time, at least 90% of individuals living with HIV (PLWH) will be diagnosed, a minimum of 90% of those diagnosed will be on antiretroviral therapy (ART), and at least 90% of those undergoing treatment will attain viral suppression. The WHO (2016), however, admits that this technique falls short of establishing a clear aim for quality of life. Therefore, it fails to address the needs of PLH who have achieved viral suppression yet continue to confront substantial non-communicable diseases, psychological distress, feelings of hopelessness, economic difficulties, and experiences or fears associated with HIV-related discrimination
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Despite the high rates of viral suppression, research evidence on QoL of PLHIV following viral suppression is generally limited in South Africa and none in the Eastern Cape province. The study sought to evaluate Quality of Life (QoL) domains namely, physical health, psychological, social relationships and environment, using the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) among PLH who achieved VL in South Africa.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Research design</title>
                <p>The study was a quantitative cross-sectional study.</p>
            </sec>
            <sec id="sec8">
                <title>Study setting</title>
                <p>The study was conducted at eleven selected health facilities within four adjacent health districts of the predominantly rural coastal province called the Eastern Cape. The mid-2024 estimates indicated that the province mainly consists of a Black population (85% of an approximate total population of 7million) that is mired in unemployment and inequalities.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec9">
                <title>Participants and sampling</title>
                <p>The study was conducted among a random sample of 244 participants aged 18&#x00a0;years or older who were HIV virally suppressed and participating in the South African Medical Research Council Research Capacity Development Initiative (SAMRC-RCDI) project at Walter Sisulu University. Viral suppression (below 200 copies/mL) was verified from patient registers prior to enrolment into the study.</p>
            </sec>
            <sec id="sec10">
                <title>Data collection</title>
                <p>Sampling and data collection occurred over a 6-month period: January &#x2013; June 2023. A team of researchers conducted a simple random selection from a database of people living with HIV (PLHIV) who are receiving antiretroviral therapy (ART) and have achieved viral load suppression (defined as having a laboratory test result of less than 200 copies/ML). To be eligible for participation in this study, individuals have given consent to take part in future HIV-related research. The authors of the current study also contributed as co-investigators in the SAMRC-RCDI study. Those with cognitive impairments or who were unable to provide consent were excluded from the study.</p>
                <p>Data was collected from the selected participants using the 26-item WHOQOL-BREF,
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> which is a cross-culturally applicable and validated tool for evaluating quality of life across four major domains: physical health, psychological, social relationships, and environment. Mean scores for each of the four domains were calculated, and each of the mean scores was transformed to a 0&#x2013;100 scale. A higher score indicated better quality of life for that domain. The WHOQOL-BREF was implemented by a team of three qualified Public Health Practitioners who were trained on questionnaire administration. Following written informed consent by the participant, data collection was conducted at healthcare facilities, where each questionnaire survey lasted 20&#x2013;30&#x00a0;minutes.</p>
            </sec>
            <sec id="sec11">
                <title>Data analysis</title>
                <p>Data entry and analysis was done using SPSS version 13&#x00ae; for windows. The Cronbach&#x2019;s alpha was used to determine the reliability and internal consistency of the WHOQOL-BREF tool. Descriptive data were analysed and presented as frequencies, means, standard deviations and proportions in tables and figures, as appropriate. A repeated measures ANOVA was performed to assess whether there were significant differences in the mean scores across the four domains of the WHOQOL-BREF questionnaire and p-values were obtained. A p-value of less than 0.05 was considered statistically significant. A Bonferroni post-hoc test was performed to identify the specific sources of a significant overall difference in QoL domain scores. Wilk&#x2019;s Lambda analysis was used to look at the overall error rate while testing different areas of quality of life (QoL).</p>
                <p>The Cronbach&#x2019;s alpha was used to determine the reliability and internal consistency of the WHOQOL-BRF questionnaire, where it showed a value of 0.808, indicating a good consistency for the WHOQOL-BEF questionnaire. The WHOQOL-REF questionnaire measures four domains of QoL.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> The physical domain assesses QoL in relation to the ability to perform daily activities, the capacity to work, energy levels, mobility, pain, and sleep quality. Whereas the psychological domain of QoL evaluates positive feelings, self-esteem, body image, sense of meaning in life, and negative emotions. The social domain of QoL measures satisfaction with personal relationships, special support from family and friends, and sexual life. The Environmental domain assesses the quality of life in relation to the physical environment, including aspects such as physical safety, home conditions, financial resources, access to health services and information, and leisure opportunities. Each domain was scored on a scale from 0 to 100, with higher scores indicating better quality of life.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="results">
            <title>Results</title>
            <sec id="sec13">
                <title>Participants characteristics</title>
                <p>The study sample of 244 participants was predominantly female (57.0%), with the largest age group being 45&#x2013;53&#x00a0;years (28.3%). Secondary education was most common (36.1%), and the majority were employed (61.5%). Nearly half resided in rural areas (46.3%), and most reported low income (66.8%). Christianity was the most prevalent religion (50.8%), followed by Muslim (30.3%) and African religion (15.6%). The socio-demographic information is summarised 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>Socio-demographic information of study participants.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sociodemographic variables</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">95% CI</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Gender</bold>
</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">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">105</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">43.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.8&#x2013;49.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">139</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">57.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.8&#x2013;63.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Age group (years)</bold>
</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">18&#x2013;26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">11.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.1&#x2013;15.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27&#x2013;35</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">18.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.0&#x2013;23.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36&#x2013;44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">25.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.6&#x2013;30.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45&#x2013;53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">69</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">28.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.6&#x2013;34.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">41</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">16.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.1&#x2013;21.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Educational level</bold>
</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">None</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">13.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.9&#x2013;17.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Primary</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">25.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.9&#x2013;30.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Secondary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">88</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">36.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.0&#x2013;42.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Tertiary</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">25.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.9&#x2013;30.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Marital status</bold>
</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">Single</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">89</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">36.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.4&#x2013;42.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Married</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">75</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">30.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.0&#x2013;36.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Separated</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">16.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.4&#x2013;20.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Divorced</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">8.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.1&#x2013;12.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Widowed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">8.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.8&#x2013;11.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Employment status</bold>
</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">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">150</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">61.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.4&#x2013;67.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">94</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">38.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.4&#x2013;44.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Location</bold>
</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">Rural</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">113</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">46.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.1&#x2013;52.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Urban</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">99</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">40.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.5&#x2013;46.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Informal settlement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">13.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.9&#x2013;17.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Income</bold>
</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">Low (R0&#x2013;R5000/month)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">163</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">66.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60.9&#x2013;72.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Moderate (R5001&#x2013;R15000/month)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">29.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.8&#x2013;35.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High (&#x2265;R15000/month)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">3.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.3&#x2013;6.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Religion</bold>
</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">Christian</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">124</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">50.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.5&#x2013;57.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Muslim</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">30.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.6&#x2013;36.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">African Religion</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">38</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">15.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.1&#x2013;20.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="char" char="." colspan="1" rowspan="1" valign="middle">3.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1&#x2013;5.5</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec14">
                <title>Self-rated health status</title>
                <p>Over half (55.3%) of the participants perceived their overall health status as either excellent or good, with the remainder self-rating as fair or bad, as shown in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref> below.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Self-rated health status distribution among respondents.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/192425/2c6ea499-2bed-46b6-a39f-d749d2567ab0_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec15">
                <title>Quality of life scores according to domains</title>
                <p>Following listwise deletion, where any case with missing data for any item was excluded, a total of 186 cases were included in the final analysis from the initial sample size of 244. The physical domain scored the highest mean score (55.9), suggesting that participants rated their physical health relatively higher than the other domains. The general score represents an overall assessment of quality of life. The general mean score was just above 50, indicating an overall moderate level of perceived quality of life among the participants. 
                    <xref ref-type="table" rid="T2">
Table 2</xref> Summarises the QoL scores according to each of the four QOL domains that were assessed in this study.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>QoL Scores according to QoL domains for study participants.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Domains of WHOQOL BREEF Questionnaire (0 to 100 scale)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean score (SD)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Median score (IQR)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Physical</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.91 (17.59)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58.33 (25.00)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Psychological</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.30 (15.91)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.00 (20.83)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Social</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.47 (20.27)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.00 (33.34)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Environmental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.57 (13.85)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.75 (12.50)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">General score</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.52 (12.07)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.70 (13.93)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec16">
                <title>Repeated measures ANOVA and pairwise comparisons of mean score differences between WHOQOL-BREF domains</title>
                <p>A repeated measures ANOVA was performed to assess whether there were significant differences in the mean scores across the four domains of QoL assessed by the WHOQOL-BREF questionnaire. There were statistically significant differences in how participants perceived their QoL with respect to their physical health, psychological, social relationships, and environment. The Wilk&#x2019;s Lambda multivariate analysis showed statistically significant differences between the mean scores of the domains (F-value&#x00a0;=&#x00a0;35.54; p&#x00a0;&lt;&#x00a0;0.001). 
                    <xref ref-type="table" rid="T3">
Table 3</xref> shows Bonferroni post-hoc test results of pairwise comparison of mean score differences between the four QoL domains, where the mean score difference between the physical health and psychological domain was the highest among the domain mean score differences (mean difference&#x00a0;=&#x00a0;4.61; p&#x00a0;=&#x00a0;0.001). In general, participants perceived their physical health better than their environmental conditions.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Bonferroni post-hoc test results of pairwise comparison of mean score differences between the four QoL domains.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Domain</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Domain</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Mean difference</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Std. Error</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">p value</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence interval for difference</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower limit</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper limit</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Physical</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Psychological</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Physical</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Social</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.014</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.29</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Physical</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Environmental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Psychological</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Social</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;3.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.04</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Psychological</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Environmental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.77</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Social</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Environmental</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.53</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec17">
                <title>Mean scores for the WHOQOL-BREF Domains by socio-demographic variables</title>
                <p>Mean scores for the four QoL domains were analysed based on the socio-demographic variables of the study participants, as presented in 
                    <xref ref-type="table" rid="T4">
Table 4</xref>.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Mean scores for the WHOQOL-BREF Domains by socio-demographic variables.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Variables</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Physical domain</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Psychological domain</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Social domain Mean</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Environmental domain</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Age group</bold>
</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"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18&#x2013;26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.16</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27&#x2013;35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.53</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36&#x2013;44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45&#x2013;53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.67</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265; 54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.114</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.531</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.171</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.800</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Gender</bold>
</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"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.32</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.48</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.606</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.051</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.936</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.322</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="9" rowspan="1" valign="middle">
                                    <bold>Educational level</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">None</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.70</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.87</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Primary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.62</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Secondary school</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Tertiary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.007</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Marital status</bold>
</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"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Single</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.86</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Married</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Separated</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.26</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Divorced</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.15</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Widowed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.88</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.412</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.028</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.132</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.256</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="9" rowspan="1" valign="middle">
                                    <bold>Employment status</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Employed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.10</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Unemployed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.94</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.008</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.456</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.123</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>There were no statistically significant differences in physical health, psychological and social domain scores across age and gender groups implying that age and gender were not significant factors influencing participants&#x2019; perceptions of their QoL on all the four domains. Higher levels of education (secondary or tertiary) were significantly linked to more positive perceptions of physical health (p&#x00a0;&lt;&#x00a0;0.001), psychological well-being (p&#x00a0;=&#x00a0;0.007), and social domains (p&#x00a0;=&#x00a0;0.001) compared to individuals with lower educational attainment (none or primary level) Participants with tertiary education scored significantly higher with regards to their perception on the environmental domain compared to those with none, primary and secondary education. There were no statistically significant differences in QoL domain scores across various marital status groups except for the psychosocial domain, where single participants reported a better perception and scored higher compared to those who were separated (p&#x00a0;=&#x00a0;0.028). With regards to employment status, employed participants scored higher on physical health and environment domains compared with the unemployed (p&#x00a0;=&#x00a0;0.008 and 0.001. respectively), whereas there was no significant difference in the scores for psychological and social domains based on employment status.</p>
                <p>As shown in 
                    <xref ref-type="table" rid="T5">
Table 5</xref>, participants&#x2019; income was strongly associated with their perception of their QoL, with higher income associated with better perceptions of their physical health, psychological, social, and environmental domains (p&#x00a0;=&#x00a0;0.000, respectively). There was no significant variation in mean QoL domain scores based on participants&#x2019; geographic location. However, regarding religion, only the psychological domain scores showed a significant difference, with African Traditional religion participants scoring higher than Muslims or those of other religions (
                    <xref ref-type="table" rid="T5">
Table 5</xref>).</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Mean scores and standard deviations for WHOQOL-BREF Domains (Physical, Psychological, Social, and Environmental) by socio-demographic variables.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Variables</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Physical domain</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Phycological domain</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Social domain Mean</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Environmental domain</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Locality type</bold>
</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"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Rural</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">52.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">53.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">41.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14.11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Urban</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.67</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Informal settlement</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">48.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.94</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.659</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.126</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.504</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.130</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Income</bold>
</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"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low income</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">52.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">48.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.99</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Moderate income</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">58.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.57</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High income</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78.70</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">73.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">59.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.30</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value
</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="2" rowspan="1" valign="middle">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                    <table content-type="article-table" frame="hsides">
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Religion</bold>
</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">Christian</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">124</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.5&#x2013;57.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Muslim</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.6&#x2013;36.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">African Religion</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.1&#x2013;20.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1&#x2013;5.5</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec18" sec-type="discussion">
            <title>Discussion</title>
            <p>The study revealed a moderate overall quality of life, with an average score of 50.2% across the four domains, which was consistent with participants&#x2019; moderate self-rated health. This overall picture, however, was strongly influenced by socioeconomic factors. Specifically, individuals with higher levels of education, those who were employed, and those with higher incomes reported significantly better outcomes in each of the four QoL domains: physical health, psychological well-being, social relationships, and environmental functioning.</p>
            <p>Accompanied by a moderate self-rated health status, participants reported a moderate quality of life across all domains, as measured by their perceptions. Although significant variations were noted between domains, the domain scores for physical health, psychological, social, and environmental domains remained moderate. It was also found that level of education, employment status, and income were significant factors influencing the perception of quality of life for most of the QoL domains. The observed study findings are similar to the results of other studies that have shown that education, employment and income are key determinants of quality of life, as well as principal enabling factors for affording lifestyle choices such as health seeking, use of tobacco products, alcohol intake, physical activity and diet.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Higher level of education is known to improve personal health risk perception and knowledge about disease causation and healthier treatment options, hence greater control over health.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Better education can also increase competitive advantage in securing higher income employment opportunities, consequently, higher disposable income for funding lifestyle choices.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> This may, in part, explain the findings from this study where higher levels of education, employed status and higher income were linked to higher self-rated quality of life domains together with reduced alcohol-and tobacco-use behaviours. With more disposable outcome, people with high income can afford lifestyle behaviours such as a better diet and harmful use of alcohol and tobacco as observed in this study.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Participants&#x2019; dual engagement in both healthier behaviours (such as better diet and physical activity) and counterproductive health behaviours could have a neutralising effect, possibly explaining the observed moderate QoL and SRH scores. In other similar studies where good and very good QoL and SRH scores were observed, higher levels of healthy behaviours and none or very low levels of counterproductive health behaviours were also reported among the participants, in contrast to the present study findings.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> This study further highlights that socioeconomic status significantly influences all domains of QoL. The socioeconomic hardships not only lead to physical illnesses but also negatively impact mental health and put a strain on social connections.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> This gives a broader perspective on how inequality harms human well-being. This study was conducted over a brief period; thus, longitudinal studies could aid in monitoring the disconnect between behaviour, socioeconomic status, and quality of life.</p>
            <sec id="sec19">
                <title>Strengths and limitations</title>
                <p>In this study, the participant pool consisted of individuals from a uniform cultural and socioeconomic background, which streamlined the data collection process. However, this lack of diversity, combined with the specific concentration on individuals living with HIV who are virally suppressed, restricts the ability to apply the results to a wider audience. Additionally, it makes it challenging to directly compare these findings with research that includes a more diverse range of HIV-positive individuals. In this study, the participant pool consisted of individuals from a uniform cultural and socioeconomic background, which streamlined the data collection process. However, this lack of diversity, combined with the specific concentration on PLWH who are virally suppressed, restricts the ability to apply the results to a wider audience. Additionally, it makes it challenging to directly compare these findings with research that includes a more diverse range of HIV-positive individuals.</p>
            </sec>
        </sec>
        <sec id="sec20" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This study addresses a critical issue in HIV care, emphasizing that while antiretroviral therapy (ART) effectively reduces viral levels, it does not guarantee a good quality of life for people living with HIV in the Eastern Cape Province. Despite improved physical health scores, mental health, social relationships, and environmental conditions remain significant challenges, particularly due to psychological and structural issues. The lowest scores were linked to environmental factors like financial resources and access to services. Additionally, socioeconomic factors such as education, employment, and income are strongly associated with quality of life, indicating that financial stability is vital for the well-being of individuals even after achieving viral suppression.</p>
            <p>To optimise viral suppression benefits, public health policies must address the social determinants of health impacting quality of life and lifestyle behaviours. This requires a shift from a biomedical to a socio-ecological model. Key strategies include implementing economic empowerment programs to combat poverty and food insecurity, ensuring housing security for stable care engagement, and integrating mental health into HIV care. By supporting these social factors, policies can help people living with HIV not only survive but thrive, enhancing both individual and public health outcomes.</p>
        </sec>
        <sec id="sec21">
            <title>Ethics</title>
            <p>The study&#x2019;s ethical principles were guided by the Helsinki Declaration. Ethical approval (Ref. no. 093/2022) was issued on 20 October 2022 by the Walter Sisulu University Faculty of Medicine and Health Sciences Human Research Ethics Committee.</p>
        </sec>
        <sec id="sec22">
            <title>Informed consent</title>
            <p>All participants signed a written informed consent prior to all data collection.</p>
        </sec>
    </body>
    <back>
        <sec id="sec25" sec-type="data-availability">
            <title>Data availability</title>
            <p>Due to ethical and legal restrictions imposed by the Walter Sisulu University Faculty of Medicine and Health Sciences Human Research Ethics Committee (WSU-FMHS-HREC), the full dataset cannot be made publicly available. The ethics approval (Ref. no. 093/2022) specifically states that participant data, even when coded, must be protected under the South African Protection of Personal Information Act (POPIA) and may only be released with explicit permission from the committee and only for purposes consistent with the original informed consent. To request access to the coded, de-identified dataset, researchers should submit a formal application to the WSU-FMHS-HREC at 
                <email xlink:href="mailto:zdlamini@wsu.ac.za">zdlamini@wsu.ac.za</email> with a copy to the corresponding author, 
                <bold>Zanele Bennedict Nomatshila</bold>, at 
                <email xlink:href="mailto:znomatshila@wsu.ac.za">znomatshila@wsu.ac.za</email>. The application must include: (1) a detailed research proposal specifying the intended purpose, (2) the applicant&#x2019;s qualifications and institutional affiliation, (3) a data management and security plan outlining storage, access controls, and disposal after analysis, and (4) proof of ethical approval from the applicant&#x2019;s own institution. Access will only be granted for purposes that align with the original study consent and will be subject to a signed data transfer agreement.</p>
            <sec id="sec26">
                <title>Extended Data</title>
                <p>The following materials have been deposited on a public repository
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>WHOQOL-BREF questionnaire (full 26-item instrument as administered)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>study information sheet</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Written informed consent form (template)</p>
                        </list-item>
                    </list>
                </p>
                <p>These materials are available under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence under the name, Quality of Life of People Living with Virally Suppressed HIV in the Eastern Cape Province of South Africa. Zenodo. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18415016">https://doi.org/10.5281/zenodo.18415016</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup>
                </p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>Participants of the study, health facility personnel, and Ms Sesethu Sehole.</p>
        </ack>
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