Evidence map›Paper›PMID 41651999›Full record

ArticleScientific reports2026

A chain mediation model reveals the association between social capital and successful aging in older adults.

Haixia Wang, Yuanyang Wu, Dongdong Zou, Ruxin Kou, Jinwen Hu, Xianhong Huang, Xinping Zhang

Abstract read
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In one paragraph

Article in Scientific reports, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

7 authors.

Haixia WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yuanyang WuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Dongdong ZouSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ruxin KouSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jinwen HuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xianhong HuangDepartment of Health Policy and Management, School of Public Administration, Hangzhou Normal University, Hangzhou, Zhejiang, China. hxh974291@163.com.
Xinping ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. xpzhang602@hust.edu.cn.

Funding

The National Natural Science Foundation of China Project 72274066the Philosophy and Social Science Project of Zhejiang Province 23YJRC11ZD-3YB
6 · The paper itself

Abstract

Aging leads to a range of adverse health outcomes and increases the economic burden of healthcare. Therefore, understanding how to achieve and maintain successful aging is crucial for ensuring the future health of older adults. This study aimed to examine the relationships between social capital, resilience, self-care, and successful aging among older adults, with the objective of fostering and promoting successful aging. This study conducted a cross-sectional study on 584 older adults in China. Data were collected using the Successful Aging Scale, Self-care Scale, Resilience Scale, and Social Capital Scale. Hierarchical linear regression and structural equation modeling were used for analysis.The results showed that Self-care had the greatest impact on successful aging (P < 0.01) ; Social capital did not have a direct impact on successful aging (standardized direct effect = 0.054, P > 0.05); The total indirect effect of social capital on successful aging was 0.594 (P < 0.01); The individual mediation effects of resilience and self-care between social capital and successful aging were 0.200 and 0.315 (P < 0.01), respectively, while the chain mediation effect was 0.079 (P < 0.01). These findings suggested that social capital influenced successful aging mainly by enhancing resilience and promoting self-care.

Indexed as

Older adultsResilienceSelf-careSocial capitalSuccessful aging

Identifiers

PMID41651999
PMCPMC12936184

What Socratic holds

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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 Socratic graph.