Evidence map›Paper›PMID 40517227›Full record

ArticleBMC geriatrics2025

Association between social participation and medical care utilization among rural older adults in China: a longitudinal study based on the CLHLS (2011-2018).

Dianrui Yao, Le Yang, Naoki Kondo

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Dianrui Yao *School of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Le Yang *School of Management, Shanxi Medical University, Taiyuan, Shanxi, China. yangle05@hotmail.com.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.

Funding

National Natural Science Foundation of China 72204152PhD research startup foundation of Shanxi Medical University XD2042Special Fund for Science and Technology Innovation Teams of Shanxi Province 202304051001017the Project of Promoting Postgraduates Science Popularization Ability of China Association for Science and Technology in 2024 KXYJS2024021
6 · The paper itself

Abstract

backgroundThere is limited understanding regarding the patterns and trajectories of social participation and their associations with medical care utilization among rural older adults. We aimed to investigate the patterns and trajectories of social participation and their associations with medical care utilization among rural older adults in China using longitudinal data.

methodsIn this longitudinal study, we used data from 1600 participants aged 60 years and above in the Chinese Longitudinal Healthy Longevity Survey (CLHLS). We included participants with social participation information in 2011 (T1) as the baseline and followed them up in 2014(T2) and 2018(T3). Latent profile analysis (LPA) and latent transition analysis (LTA) were employed to identify the latent classes of social participation and the transition probabilities between these classes. Multinomial logistic regression was used to examine the predictors of transitions, while a two-part model and cross-lagged model were utilized to clarify the longitudinal relationship between social participation and medical care utilization among rural older adults.

resultsThree social participation classes were identified by LPA: low, moderate, and high social participation. The high social participation class exhibited strong stability, with rare transitions to other classes. Subjective economic status, self-rated health, and the number of chronic diseases significantly predicted social participation transition patterns (P < 0.05). Regarding outpatient care utilization, social participation consistently predicted more frequent outpatient visits in all waves (P < 0.05) but was associated with higher outpatient expenses only at T3 (P < 0.05). However, no significant association was observed between social participation and inpatient care utilization. This finding was further supported by cross-lagged modeling, demonstrating significant effects of social participation on outpatient care utilization (β = 0.016 to 0.018, SE = 0.004, P < 0.001).

conclusionsThis research reveals the social participation dynamics in rural older adults and their effects on medical care utilization in China. Social participation can significantly promote outpatient care utilization among rural older adults. Targeted policy and practice are needed for those with low levels of social participation in rural areas.

Indexed as

Patient Acceptance of Health CareRural PopulationSocial ParticipationAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedMedical care utilizationOlder adultsRural ChinaSocial participation

Identifiers

PMID40517227
PMCPMC12167579

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.