Evidence map›Paper›PMID 41792653›Full record

ArticleBMC geriatrics2026

Social and community determinants of living arrangements among older adults: the role of social support and mental health promotion.

Supaporn Sudnongbua, Samran Chuamuangphan

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Supaporn SudnongbuaFaculty of Public Health, Naresuan University, Phitsanulok, Phitsanulok Province, 65000, Thailand. lillysupaporn@gmail.com.
Samran ChuamuangphanChiang Rai Provincial Health Office, Mueang Chiang Rai, Chiang Rai Province, 57000, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiving arrangements are a key social determinant of health among older adults, influencing well-being, access to care, and social participation. Beyond sociodemographic characteristics, social and community factors—particularly social support and mental health promotion—may play important roles in shaping living arrangements. However, evidence on the associations between these multidimensional factors and living arrangements remains limited. This study examined the relationships between social and community determinants and living arrangements among older adults.

methodsA cross-sectional study was conducted among adults aged 60 years and older (n = 468). Living arrangements were categorized as living alone or living with a spouse and/or children. Binary logistic regression analyses were conducted using three hierarchical models. Model 1 included sociodemographic characteristics; Model 2 added overall social support and overall mental health promotion; and Model 3 examined specific components of social support and mental health promotion. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported.

resultsGender and age were consistently associated with living arrangements across models. After adjustment for sociodemographic factors, several social and community determinants were significantly associated with living arrangements. In the fully adjusted model, stronger interpersonal relationships and higher financial support were associated with higher odds of living with a spouse and/or children. In contrast, greater accessibility to technology and higher levels of emotional and instrumental support were independently associated with lower odds of co-residence. Regarding mental health promotion, higher levels of community-based mental health promotion were inversely associated with living with a spouse and/or children, while personal- and family-level mental health promotion showed no significant associations in the final model. The final model demonstrated good explanatory power (Nagelkerke R² = 0.682).

conclusionsLiving arrangements among older adults are shaped by a complex interplay of sociodemographic, social, and community factors. Different dimensions of social support and mental health promotion show distinct and sometimes contrasting associations with co-residence. These findings highlight the importance of adopting a nuanced, multidimensional approach when designing social and community-based interventions to support appropriate and sustainable living arrangements among older adults.

Indexed as

Health PromotionMental HealthResidence CharacteristicsSocial Determinants of HealthSocial SupportAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocial GroupCommunity determinantsLiving arrangementsMental health promotionOlder adultsSocial determinants of healthSocial support

Identifiers

PMID41792653
PMCPMC13081286

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.