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Research Article

Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study

[version 1; peer review: 3 approved, 1 approved with reservations]
PUBLISHED 18 Nov 2024
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Abstract

Background

Multiple medical conditions arising from reduced physical and physiological functioning, including cognitive decline, manifest in older persons. This study aims to examine the relationship between cognitive function and associated risk factors in older persons living in long-term care facilities in Indonesia.

Methods

This study involved 350 elderly individuals residing in long-term care institutions. A cross-sectional design utilizing an analytical survey methodology was implemented. Data were gathered via interviews employing a demographic questionnaire and the Montreal Cognitive Assessment (MoCA). Statistical analysis was conducted using SPSS (version 23).

Results

Univariate analysis demonstrated significant correlations between cognitive performance and gender, ethnicity, level of education, medical history, subjective memory issues, smoking habits, alcohol consumption, dietary intake of fruits and vegetables, and employment history (p < 0.05). Higher education (OR = 0.69, 95% CI: 0.56–0.84) and reduced subjective memory complaints (OR = 0.29, 95% CI: 0.20–0.44) correlated positively with enhanced cognitive function, but alcohol intake (OR = 6.79, 95% CI: 2.42–19.1) correlated with impaired cognitive function.

Conclusions

the level of education, subjective memory complaints, and alcohol intake are substantially correlated with cognitive performance in older persons residing in long-term care facilities. Evaluating demographic characteristics in elderly individuals can assist healthcare professionals in the early detection of cognitive impairment, facilitating prompt interventions in long-term care environments.

Keywords

Cognitive function; elderly individuals; risk factors

Introduction

By 2030, one in six individuals worldwide will be senior citizens. In Indonesia, life expectancy improved from 68.6 years in 2018 to 71.8 years in 2022, with an anticipated increase of 72.2 years for the period 2030–2035.1 The 2022 Indonesia National Health Survey indicated that 10.5% of the population comprises elderly persons.2 The aging population has transitioned the illness burden from infectious diseases and malnutrition to chronic ailments such as diabetes, hypertension, neoplasms, and coronary heart disease.3 These alterations hinder daily functioning and augment economic dependency.4 Moreover, physical, mental, and emotional deterioration intensifies reliance, impairing social interactions, self-care, and health management.5

Mental changes in older persons encompass transformations in personality, memory, and cognitive ability, shaped by socio-demographic, physical, and psychological factors,69 with loneliness, social isolation,7,10,11 and late-life mental diseases.6 With the expansion of the older adult demographic, cognitive impairment has become increasingly common.8 Cognitive function denotes the capacity to uphold responsibilities and social interactions, and its deterioration impedes engagement with family and community, imposing a burden on caregivers and communities.12

Numerous individual factors affect cognitive decline, including age,13 gender,1416 level of education,1719 genetics, and medical history. Chronic disorders include hypertension,20,21 diabetes,2224 cardiovascular diseases,25,26 gastritis,2729 and depression30,31 exacerbate cognitive impairment. Environmental factors, including social engagement and physical activity, significantly influence outcomes.3234

Research has revealed multiple indicators strongly linked to motor-cognitive risk, including extremity functional limits, activities of daily living (ADL) impairment, fatigue, and hypertension.35 Age, medical history, depression, and resilience are determinants of cognitive function.36 Timely recognition and intervention of these factors are crucial to avert or alleviate cognitive impairment in elderly individuals.37 Neuropsychological evaluations, like the Mini Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), are essential instruments for identifying cognitive deficits, with MoCA demonstrating heightened sensitivity.5

Long-term care in Indonesia offers help for anyone requiring extended assistance, especially the elderly or individuals with disabilities. Nonetheless, there is a lack of particular data regarding the population of older adults residing in Long-Term Care Institutions (LTCI). The swift expansion of the elderly demographic has heightened the demand for long-term care insurance, influenced by evolving social dynamics and diminished familial capacity to offer care. Nevertheless, no previous research has investigated the correlation between cognitive function, medical history, and related risk factors in elderly individuals, impeding healthcare practitioners’ capacity to execute preventive measures and inform families. This cross-sectional study aims to examine the relationship between cognitive function and associated risk factors among older persons in long-term care institutions in Indonesia.

Methods

Study setting and participants

This analytical cross-sectional study was performed in the major Long-Term Care Institutions in Jakarta, Indonesia, from February to April 2023. It comprised older people (≥60 years) devoid of eyesight or hearing impairments. Participants were selected through a comprehensive sampling method. During the preliminary phase, health records were examined to ascertain eligible participants, contingent upon the nursing home’s consent. A total of 350 elderly people participated in the study. In addition, the study follow the STROBE guideline (https://www.equator-network.org/).

Variables and measures

Demographic characteristics

Data were obtained via in-person interviews. Demographic variables encompassed age, duration of residence in long-term care institutions and nursing homes, gender, religion, ethnicity, relationship status, level of education, medical history, subjective memory issues, tobacco use, alcohol intake, daily consumption of fruits and vegetables, employment background, utilization of mobility aids, and living situation.

The montreal cognitive assessment (MoCA-Ina)

The Indonesian adaptation of the Montreal Cognitive Assessment (MoCA-Ina) was utilized, with all procedures executed in the native language, Bahasa Indonesia, to guarantee participant comfort. MoCA-Ina has exhibited robust reliability and validity, evidenced by a Cronbach’s alpha of 0.976, signifying exceptional internal consistency.38 Cognitive function, the principal variable, was evaluated using the 30-point MoCA-Ina, with scores ≥11 signifying strong cognitive function and scores <11 denoting low cognitive function. MoCA-Ina is a reliable and sensitive instrument for identifying moderate cognitive impairment in elderly individuals in Indonesia.39

Data collection procedure

Ten trained enumerators aided senior citizens in completing the questionnaire. Authorization was secured from the facility director, and the study protocols were comprehensively elucidated. Subsequent to approval, enumerators obtained consent from participants, who signed consent forms upon their agreement to participate. Eligible participants were apprised of the study’s objectives, advantages, and methodologies prior to receiving the questionnaire. Participation was optional and confidential, with each session lasting 15 to 20 minutes.

Ethical consideration

Prior to the investigation, this study has approval from the institutional review board (IRB) Committee of Universitas Indonesia with approval number of KET-168/UN2.F12.D1.2.1/PPM.00.02/2022 on June 21, 2022. This study adhered to the Declaration of Helsinki (https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/). Written informed consent was obtained from participants prior joining the study and were apprised of the study’s objectives, benefits, and methods.

Data analysis

All the information collected were input into Microsoft Excel and analyzed utilizing SPSS version 23 (IBM SPSS Statistics Version 29, 2023). Descriptive data were displayed as numerical values and percentages. Chi-square tests were performed to evaluate the relationships between independent factors and cognitive function. Univariate analysis utilizing logistic regression calculated unadjusted odds ratios and their respective 95% confidence intervals (CIs) for all relevant risk factors, with significance established at p < 0.05.

Results

Demographic characteristics

Overall, the mean age of participants was 68.9 years (SD 7.01), with a median of 68. The mean duration of residence in the long-term care institution (LTCI) was almost 3 years (SD 3.6), with a median of 3 years. The average cognitive function score was 12.8 (SD 7.25), with a median of 11.

Table 1 reveals that the predominant demographic of respondents consisted of early seniors (60-68 years old), with 186 participants (53.1%), whereas 164 participants (46.9%) were older. Over fifty percent resided in the institution for fewer than three years (227 participants, 64.9%). Female enrollment was greater, with 193 individuals (55.1%), in contrast to male enrollment, which comprised 157 persons (44.9%). The majority of participants identified as Muslim (303 participants, 86.6%), with 148 (42.3%) reporting good health, and hypertension as the most prevalent health concern (50 individuals, 14.3%). The majority consisted of married individuals (138 participants, 39.4%), those of Javanese ethnicity (135 participants, 38.6%), and elementary school graduates (107 participants, 30.6%).

Table 1. Demographic characteristics of older adults in nursing homes (n = 350).

Frequency (%)
Length of stay in nursing home (years)
 ≤ 322764.9
 > 312335.1
Gender
 Male15744.9
 Female19355.1
Religion
 Islam30386.6
 Christianity/Protestantism3510
 Catholicism41.1
 Buddhism51.4
 Hinduism20.6
 Other10.3
Ethnic group
 Javanese13538.6
 Sundanese5114.6
 Betawi9727.7
 Sumatran4412.6
 Chinese92.6
 Other144.0
Marital status
 Married13839.4
 Divorced dead7922.6
 Divorced alive3810.9
 Single9527.1
Education level
 No schooling5214.9
 Did not graduate from elementary school9326.6
 Graduated from elementary school10730.6
 Graduated from junior high school4412.6
 Graduated from high school4713.4
 Diploma/Other higher education school72.0
Disease history
 Hypertension (HT)5014.3
 Diabetes mellitus (DM)61.7
 Cholesterol20.6
 Heart failure20.6
 Depression51.4
 Mental disorders6518.6
 Strokes82.3
 Arthritis144.0
 Cataracts51.4
 Gastritis30.9
Subjective memory complaint
 Very bad30.9
 Bad7722.0
 Medium18352.3
 Very good8724.9
Smoking
 Yes (active)7922.6
 Yes (passive)82.3
 Stopped4713.4
 Does not smoke21661.7
Consumption of alcoholic beverages
 Which, now30.9
 Which, once was3810.9
 Never30988.3
Consumption of fruits and vegetables every day
 Yes31790.6
 No339.4
Employment history
 Formal/professional work102.9
 Informal work33595.7
 Retired51.4
Use of walking aids
 Yes4412.6
 No30687.4
Living arrangement
 Living with family14240.6
 Alone20859.4
MoCA
 High cognitive function19956.9
 Low cognitive function15143.1

Participants indicated moderate subjective memory problems (183 participants, 52.3%), with the majority abstaining from alcohol consumption (309 participants, 88.3%) and not engaging in smoking (216 participants, 61.7%). A considerable percentage of participants ingested fruits and vegetables daily (317 participants, 90.6%). Nearly all participants were informal workers (335 individuals, 95.7%). Fifty-nine point four percent of participants had previously lived alone (208 participants), whereas forty point six percent lived with family (142 participants). Additionally, fifty-nine point four percent of participants (208 individuals) did not utilize walking assistance. A total of 199 participants (56.9%) achieved higher scores on the MoCA, whilst 151 participants (43.1%) attained lower scores.

Univariate analysis

Table 2 illustrates the association between participant characteristics and MoCA scores, which function as an indicator of cognitive ability. The findings demonstrate that multiple factors significantly correlate with MoCA scores, including gender, ethnicity, level of education, medical history, subjective memory issues, smoking behaviors, alcohol intake, dietary practices (particularly fruit and vegetable consumption), and employment background.

Table 2. Association between cognitive levels and risk factors in older adults living in nursing homes.

VariableTotalMoCA Score P-Value
(n= 350)High cognitive function (%) Low cognitive function (%)
Length of stay in nursing home
 ≤ 3 years227 (64.9)136 (38.9)91 (26)0.117
 > 3 years123 (35.1)63 (18)60 (17.1)
Gender
 Male157 (44.9)104 (29.7)53 (15.1)0.001
 Female193 (55.1)95 (27.1)98 (28.0)
Religion
 Islam303 (86.6)169 (48.3)134 (38.3)0.522
 Christian35 (10)23 (6.6)12 (3.4)
 Catholic4 (1.1)2 (0.6)2 (0.6)
 Buddhism5 (1.4)3 (0.9)2 (0.6)
 Hinduism2 (0.6)2 (0.6)0 (0)
 Others1 (0.3)0 (0)1 (0.3)
Ethnic group
 Javanese135 (38.6)68 (19.4)67 (19.1)0.044
 Sundanese51 (14.6)23 (6.6)28 (8.0)
 Betawi97 (27.7)63 (18)34 (9.7)
 Sumatra44 (12.6)28 (8)16 (4.6)
 Chinese9 (2.6)7 (2)2 (0.6)
 Other14 (4)10 (2.9)4 (1.1)
Marital status
 Married138 (39.4)76 (21.7)62 (17.7)0.851
 Divorced dead79 (22.6)45 (12.9)34 (9.7)
 Divorced alive38 (10.9)24 (6.9)14 (4.0)
 Single95 (27.1)54 (15.4)41 (11.7)
Education level
 Diplomas/higher education7 (2.0)6 (1.7)1 (0.3)0.000
 Graduated high school47 (13.4)33 (9.4)14 (4.0)
 Graduated middle school44 (12.6)32 (9.1)12 (3.4)
 Graduated from elementary school107 (30.6)65 (18.6)42 (12.0)
 Did not graduate from elementary school93 (26.6)50 (14.3)43 (12.3)
 No schooling57 (14.9)13 (3.7)39 (11.1)
Disease history
 Hypertension (HT)50 (14.3)34 (9.7)16 (4.6)
 Diabetes mellitus (DM)6 (1.7)6 (1.7)0 (0)
 Cholesterol2 (0.6)1 (0.3)1 (0.3)
 Heart failure2 (0.6)2 (0.6)0 (0)
 Depression5 (1.4)3 (0.9)2 (0.6)
 Mental disorders65 (18.6)28 (8.0)37 (10.6)
 Strokes8(2.3)6 (1.7)2 (0.6)
 Arthritis14 (4.0)11 (3.1)3 (0.9)
 Cataracts5 (1.4)4 (1.1)1 (0.3)
 Gastritis3 (0.9)3 (0.9)0 (0)
Subjective memory complaints
 Very good91 (24.5)17 (19.1)20 (5.3)0.000
 Currently183 (52.3)111 (31.7)72 (20.6)
 Bad77 (22)20 (5.7)57 (16.3)
 Very bad3 (0.9)0 (0)3(0,9)
Smoking
 Does not smoke216 (61.7)112 (32)104 (29.7)0.03
 Quit smoking47 (13.4)28 (8.0)19 (5.4)
 Passive smoker8 (2.3)6 (1.7)2 (0.6)
 Active smoker79 (22.6)53 (15.1)26 (7.4)
Alcohol consumption
 Never309 (88.3)164 (46.9)145 (41.4)0.000
 Yes, once38 (10.9)32 (9.1)6 (1.7)
 Yes, now3 (0.9)3 (0.9)0 (0)
Consumption of fruits and vegetables
 Yes317 (90.6)187 (53.4)130 (37.1)0.013
 No33 (9.4)12 (3.4)21 (6.0)
Employment history
 Formal/professional10 (2.9)8 (2.3)2 (0.6)0.045
 Informal335 (95.7)186 (53.1)149 (42.6)
 Retired5 (1.4)5 (1.4)0 (0)
Use of walking aids
 No306 (87.4)180 (51.4)126 (36)0.053
 Yes44 (12.6)19 (5.4)25 (7.1)
Living arrangement
 Living with family208 (59.4)124 (35.4)84 (24.0)0.207
 Alone142 (40.6)75 (21.4)67 (19.1)

Multivariate logistic regression

Table 3 indicates that the model accounts for 32.1% of the variance in MoCA scores and accurately classifies 72.6% of instances. Upon integrating all notable predictors, three variables were recognized as significantly correlated with cognitive levels: education level (OR = 0.686; p = 0.000), subjective memory complaints (OR = 0.293; p = 0.000), and alcohol intake (OR = 6.786; p = 0.000). Older persons who abstained from drinking were 6.786 times more likely to exhibit a high cognitive level than those who consumed alcohol. Furthermore, individuals with advanced education possessed a 0.686 probability of attaining elevated cognitive capabilities as they aged. Moreover, persons devoid of subjective memory complaints exhibited a 0.293 probability of possessing elevated cognitive levels in contrast to those who indicated bad or very poor memory complaints.

Table 3. Multivariate logistic regression: predictive factors for cognitive levels in older adults living in nursing homes.

Predictor variablesBSEWald p- valueOR 95%CI Lower–Upper
Gender-0.1960.3040.4150.5200.8220.453–1.493
Ethnic group-0.1040.0971.1600.2820.9010.746–1.089
Education level-0.3770.10612.7160.0000.686 0.558–0.844
Disease history-0.0040.0210.0380.8460.9960.955–1.039
Subjective memory complaints-1.2280.2055.9500.0000.293 0.196–0.437
Smoking-0.0350.1270.0750.7850.9660.753–1.239
Alcohol consumption1.9150.52713.2030.0006.786 2.416–19.062
Consumption of fruits and vegetables0.4230.4670.8230.3641.5270.612–3.813
Employment history-0.1260.7360.0290.8640.8640.208–3.732

Discussion

This study revealed that older persons living in long-term care institutions (LTCIs) in Jakarta, Indonesia, displayed elevated MoCA scores, signifying enhanced cognitive performance. This study contradicts prior studies, which indicated that older persons in long-term care institutions are more prone to cognitive deterioration than those in community settings.40 A nationally representative longitudinal study in China revealed that living arrangements significantly influence cognitive decline, with solitary living associated with accelerated cognitive deterioration in older men, whereas diverse living arrangements, including cohabitation with spouses and adult children, correlated with cognitive decline in older women.41 Social isolation, loneliness, and restricted social involvement have been linked to reduced cognitive results in later life.42 A recent meta-analysis indicated a broad spectrum of moderate cognitive impairment (MCI) prevalence among older persons in long-term care institutions, ranging from 4.0% to 87.4%, with a pooled prevalence of 21.2%.43 The superior cognitive function noted in older adults in Jakarta may be ascribed to diverse social activities offered by these institutions, including entertainment gatherings, daily exercise, religious activities, and essential services, all of which improve quality of life in accordance with the Republic of Indonesia’s Social Welfare Law of 2012 concerning the care of older adults.

The research revealed educational attainment, self-reported memory issues, and alcohol intake as predictors of cognitive decline in elderly individuals residing in long-term care institutions. A meta-analysis indicated that each additional year of schooling decreases the risk of Alzheimer’s disease by 8% and dementia by 7%.44 The association is exacerbated by age, as prior research suggests that schooling may alleviate racial and ethnic differences in cognitive performance among older adults.45 Elevated educational attainment enhances cognitive reserve, postponing the clinical onset of Alzheimer’s disease until brain pathology is further advanced.46 Thus, evaluating educational attainment in LTCIs can yield significant baseline data for the early identification of cognitive deterioration.47,48 Educational background cultivates cultural competency, augments reading proficiency, and develops problem-solving skills.49

Subjective memory complaints (SMCs) are frequently observed in older persons and may signify possible cognitive impairment.50 While several studies indicate that subjective memory complaints (SMCs) may not consistently align with objective cognitive impairments,51 they may nonetheless be associated with anatomical alterations in the brain that facilitate cognitive deterioration.52 A study in India identified correlations between tobacco use, smoking, alcohol intake, and cognitive impairment in older adults.53 Alcohol intake has been demonstrated to induce brain damage by processes such as iron accumulation54 and increased white matter hyperintensity volumes,55 and is associated with Wernicke-Korsakoff syndrome, which negatively impacts memory and heightens the risk of cognitive impairment.

The study revealed that disease history was associated with cognitive levels, but it did not serve as a predictive variable. Cognitive performance can be affected by various factors, including age, gender, education, lifestyle choices, and the existence of chronic illnesses such as hypertension and diabetes.56,57 Studies have shown that elderly individuals with chronic conditions, especially hypertension or diabetes, may demonstrate diminished cognitive ability.58 Furthermore, strokes may result in dementia, with severity influenced by factors like stroke site, volume, and pre-existing cognitive deficits.59 The steady progression of cognitive decline, affected by multiple intricate factors, complicates this relationship.60 Consequently, SMCs function as significant indicators of cognitive impairments and initial manifestations of Alzheimer’s disease and associated dementias.

To alleviate cognitive decline, it is essential for healthcare practitioners and family to cultivate trusting connections, encourage social engagement, and involve older persons in group activities.37 Regular engagement in cognitive-stimulating activities, including adequate relaxation and sleep, is crucial, in addition to practices such as reading and media consumption.61 This study’s limitations encompass variances in the cognitive status of older persons and its cross-sectional methodology, which constrains causal assumptions; thus, additional longitudinal investigations are essential for deeper insights. Moreover, increased sample sizes would improve analytical precision. Healthcare practitioners must prioritize initiatives that enhance cognitive function in older persons, while future research should concentrate on creating customized therapies for cognitive impairments associated with particular health problems.

Conclusions

This research revealed educational level, subjective memory issues, and alcohol use as significant predictors of cognitive performance in older persons residing in long-term care facilities. Moreover, variables like gender, ethnicity, medical history, tobacco use, dietary intake of fruits and vegetables, and occupational background were associated with cognitive performance, underscoring the necessity for customized healthcare interventions. These findings offer significant insights into the responses of older persons to cognitive impairment risk factors, allowing nurses and healthcare professionals to formulate more effective treatment regimens. Moreover, comprehending these links helps guide personalized interventions and promote equitable health policy, ultimately enhancing care for older individuals in Indonesia.

Ethical declaration

Prior to the investigation, this study has approval from the institutional review board (IRB) Committee of Universitas Indonesia with approval number of KET-168/UN2.F12.D1.2.1/PPM.00.02/2022 on June 21, 2022. This study adhered to the Declaration of Helsinki (https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/). Written informed consent was obtained from participants prior joining the study and were apprised of the study’s objectives, benefits, and methods.

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Rekawati E, Eriska W, Rachmawati U et al. Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved, 1 approved with reservations]. F1000Research 2024, 13:1384 (https://doi.org/10.12688/f1000research.158490.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
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PUBLISHED 18 Nov 2024
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Reviewer Report 19 Aug 2025
Saranya Pimolkatekul, Department of Nursing Administration and Professional Fundamention, Navamindradhiraj University, Bangkok, Thailand 
Approved with Reservations
VIEWS 10
This is a well-written cross-sectional study that investigates the relationship between cognitive function and associated risk factors among elderly Indonesians residing in long-term care settings. The study addresses a relevant public health concern and offers useful descriptive data. However, there ... Continue reading
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Pimolkatekul S. Reviewer Report For: Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved, 1 approved with reservations]. F1000Research 2024, 13:1384 (https://doi.org/10.5256/f1000research.174085.r395149)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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12
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Reviewer Report 14 Aug 2025
Rian Adi Pamungkas, Universitas Esa Unggul, Jakarta Barat, Indonesia 
Approved
VIEWS 12
The topic is highly relevant in light of global population aging and the increasing burden of cognitive decline in older adults. The use of the MoCA-Ina, a culturally adapted and validated instrument, is appropriate and strengthens internal validity. However, several areas require ... Continue reading
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Pamungkas RA. Reviewer Report For: Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved, 1 approved with reservations]. F1000Research 2024, 13:1384 (https://doi.org/10.5256/f1000research.174085.r395145)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    The topic is highly relevant in light of global population aging and the increasing burden of cognitive decline in older adults. The use of the MoCA-Ina, a culturally adapted and ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    The topic is highly relevant in light of global population aging and the increasing burden of cognitive decline in older adults. The use of the MoCA-Ina, a culturally adapted and ... Continue reading
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11
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Reviewer Report 14 Aug 2025
Made Satya Nugraha Gautama, Department of Nursing, Universitas Pendidikan Ganesha, Bali, Indonesia 
Approved
VIEWS 11
The study addresses an important topic: cognitive function in elderly Indonesians in long-term care. This is a growing population with specific needs. The manuscript is generally well-written and organized.
The findings have potential implications for healthcare practices in long-term care ... Continue reading
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Gautama MSN. Reviewer Report For: Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved, 1 approved with reservations]. F1000Research 2024, 13:1384 (https://doi.org/10.5256/f1000research.174085.r395151)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    The study addresses an important topic: cognitive function in elderly Indonesians in long-term care. This is a growing population with specific needs. The manuscript is generally well-written and organized.
    The ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    The study addresses an important topic: cognitive function in elderly Indonesians in long-term care. This is a growing population with specific needs. The manuscript is generally well-written and organized.
    The ... Continue reading
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18
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Reviewer Report 24 Jul 2025
Yuni Asri, Department of Nursing, Faculty of Health and Science, Institut Teknologi, Sains dan Kesehatan RS dr Soepraoen Kesdam V/Brawijaya, Malang, Indonesia 
Approved
VIEWS 18
This robust study used appropriate tools (MoCA-Ina) and valid analyses. To enhance clarity and reproducibility, authors should categorize variables (e.g., age, education), justify their inclusion in regression models, and detail data distribution and missing data handling in tables or text. ... Continue reading
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CITE
HOW TO CITE THIS REPORT
Asri Y. Reviewer Report For: Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study [version 1; peer review: 3 approved, 1 approved with reservations]. F1000Research 2024, 13:1384 (https://doi.org/10.5256/f1000research.174085.r390862)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    This robust study used appropriate tools (MoCA-Ina) and valid analyses. To enhance clarity and reproducibility, authors should categorize variables (e.g., age, education),
    Response:
    We thank the reviewer for this ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 10 Sep 2025
    faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand
    10 Sep 2025
    Author Response
    This robust study used appropriate tools (MoCA-Ina) and valid analyses. To enhance clarity and reproducibility, authors should categorize variables (e.g., age, education),
    Response:
    We thank the reviewer for this ... Continue reading

Comments on this article Comments (0)

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VERSION 2 PUBLISHED 18 Nov 2024
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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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