Determinants of Aging in Place Willingness Among Community-Dwelling Older Adults in Thailand: Results of a National Survey

<b>Aim:</b> The aim of this study was to estimate the prevalence and determinants of aging in place (AIP) willingness among persons 60 years and older in a national cross-sectional community-based study in Thailand in 2022. <b>Methods:</b> Information was taken from the 2022 Health, Aging, and Retirement in Thailand survey. Only community-dwelling individuals aged 60 and above were included in the sample (analytic sample: <i>n</i> = 3648). AIP willingness was measured using established metrics. The factors influencing AIP willingness were evaluated using logistic regression. <b>Results:</b> The prevalence of AIP willingness was 88.3%. Logistic regressions showed that predisposing factors (increasing age, being retired, and female sex), enabling factors (satisfactory support from children), need factors (multimorbidity, fewer depressive symptoms, and fewer pain sites), and psychosocial factors (not agreeing on an elderly home, higher subjective life expectancy, and current non-smoking) were associated with AIP willingness. <b>Conclusions:</b> Our knowledge of the factors influencing AIP willingness in community-living people 60 years of age and older is improved by this national study. Health and welfare strategies to increase enabling factors (satisfactory support from children), decrease need factors (depression and multisite pain), and increase psychosocial factors (positive attitudes towards AIP and smoking cessation) may help in increasing AIP willingness.

Authors

Institutions

Publication Details

Journal
Journal of Applied Gerontology
Published
2025-05-28
DOI
https://doi.org/10.1177/07334648251343657
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Aging in Place Willingness Among Community-Dwelling Older Adults in Thailand: Results of a National Survey

Duanpen Theerawanviwat, Dararatt Anantanasuwong, Karl Peltzer, Wasin Kaewchankha et al.
Journal of Applied Gerontology
Health disparities and outcomes
article

Determinants of Aging in Place Willingness Among Community-Dwelling Older Adults in Thailand: Results of a National Survey

Duanpen Theerawanviwat, Dararatt Anantanasuwong, Karl Peltzer, Wasin Kaewchankha, Supa Pengpid
article en

Abstract

<b>Aim:</b> The aim of this study was to estimate the prevalence and determinants of aging in place (AIP) willingness among persons 60 years and older in a national cross-sectional community-based study in Thailand in 2022. <b>Methods:</b> Information was taken from the 2022 Health, Aging, and Retirement in Thailand survey. Only community-dwelling individuals aged 60 and above were included in the sample (analytic sample: <i>n</i> = 3648). AIP willingness was measured using established metrics. The factors influencing AIP willingness were evaluated using logistic regression. <b>Results:</b> The prevalence of AIP willingness was 88.3%. Logistic regressions showed that predisposing factors (increasing age, being retired, and female sex), enabling factors (satisfactory support from children), need factors (multimorbidity, fewer depressive symptoms, and fewer pain sites), and psychosocial factors (not agreeing on an elderly home, higher subjective life expectancy, and current non-smoking) were associated with AIP willingness. <b>Conclusions:</b> Our knowledge of the factors influencing AIP willingness in community-living people 60 years of age and older is improved by this national study. Health and welfare strategies to increase enabling factors (satisfactory support from children), decrease need factors (depression and multisite pain), and increase psychosocial factors (positive attitudes towards AIP and smoking cessation) may help in increasing AIP willingness.

Journal of Applied GerontologyVol. 45(3)
Asia University (TW), National Institute of Development Administration (TH), Mahidol University (TH), University of the Free State (ZA), Sefako Makgatho Health Sciences University (ZA), Asia University (JP), Ministry of Health and Welfare (TW)
National Research Council of Thailand, Thailand Science Research and Innovation
Good health and well-being
Openalex Percentile: Top 85%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.