Evidence map›Paper›PMID 41430605›Full record

ArticleBMC public health2025

Does consistency between actual living arrangements and expectations (ALIVE) matter? A population-based longitudinal study of older adults.

Ting Chen, Sicheng Li, Tianjiao Lan, Wenqiang Zhang, TianFu Gao, Liyong Lu

Abstract read
In one paragraph

Article in BMC public health, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ting ChenWest China School of Public Health and West China Fourth Hospital, HEOA Group, Sichuan University, Chengdu, China.
Sicheng LiSchool of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, China.
Tianjiao LanWest China School of Public Health and West China Fourth Hospital, HEOA Group, Sichuan University, Chengdu, China.
Wenqiang ZhangJiangxi Key Laboratory of Molecular Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
TianFu GaoMedical Record Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Liyong LuShandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jing Wu Wei Qi Road, Jinan, Shandong, 250021, China. luliyongscu@163.com.

Funding

National Natural Science Foundation of China 72404173Natural Science Foundation of Shandong Province ZR2024QG156
6 · The paper itself

Abstract

backgroundEvidence indicates that living arrangements significantly influence the well-being and health of older adults. However, the psychological needs of this population have increasingly emerged as important public health concerns, with preferences regarding living arrangements serving as a key determinant. Ignoring this issue can lead to incomplete or inaccurate assessments of how various living arrangements affect their health. To better understand this impact, this study investigates the relationship between living arrangements and survival outcomes among older adults, while considering the alignment between Actual Living Arrangements and Expectations (ALivE).

methodsData for this study were sourced from the China Longitudinal Healthy Longevity Survey (CLHLS) covering the period from 2005 to 2018. Living arrangements were assessed based on participants’ self-reported expect living arrangement (indicating preference) and current situations in the questionnaire, categorized into “living alone (or with a spouse only)”, “co-residence with children”, or “living in an institution”. Survival status and date of death were determined through interviews with close family members during each survey round. Cox proportional hazards regression models were used for longitudinal analysis, and strategies for heterogeneity analysis were employed to identify vulnerable subgroups.

resultsThe study included 4,272 older adults, of whom 2,188 (51.22%) died during the follow-up period (2008 to 2018). The median survival time was 5 years. Compared to individuals with consistent living arrangements, those with discrepancies between actual and preferred arrangements had a hazard ratio (HR) of 1.36 (95% CI: 1.20–1.53), indicating a 36% increased risk of death. Sensitivity to these inconsistencies was greater among males, individuals with fixed occupations before age 60, those with average or difficult economic conditions, individuals with unfavorable dietary patterns, and those who are not currently exercising.

conclusionsThis study highlights the significance of aligning older adults’ living arrangements with their preferences. The association with health is more closely related to whether living arrangements match personal desires rather than the specific type of arrangement.

Indexed as

Neighborhood CharacteristicsResidence CharacteristicsAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleSurveys and QuestionnairesGeriatricHealthy agingLiving arrangementsLongitudinal analysisSenior care

Identifiers

PMID41430605
PMCPMC12836953

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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.