Evidence map›Paper›PMID 40169953›Full record

ArticleBMC geriatrics2025

The impact of age identity on social participation of older adults.

Denghui Huang, Wenyue Song, Ran Feng

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Denghui HuangSchool of Public Administration, Hohai University, Nanjing, Jiangsu, 211100, China. hdh0208@126.com.
Wenyue SongSchool of Public Administration, Hohai University, Nanjing, Jiangsu, 211100, China.
Ran FengSchool of Public Administration, Hohai University, Nanjing, Jiangsu, 211100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the intensification of the global aging population, the social engagement of seniors is regarded as a key element in the strategy for healthy aging. China, the country with the largest elderly population, confronts challenges such as "aging before becoming wealthy." The government has put forward a strategy for "healthy aging," highlighting the importance of seniors' social engagement for successful aging.

methodBased on the data from the China Longitudinal Aging Social Survey (CLASS) in 2020, social participation is categorized into three types: labor participation, political participation, and volunteer service. Age identity is measured by the difference between perceived age of aging and chronological age. A logistic regression model is employed to analyze the impact of age identity on the social participation of older adult.

resultsA positive age identity significantly promotes the social participation of older adult, including labor participation, political participation, and volunteer service. Specifically, for every one-year increase in the level of age identity, the participation rate in volunteer service increases by 1.9%, the participation rate in political participation increases by 2.3%, and the increase in labor participation is the most significant, reaching 2.4%.

conclusionDifferent age identities among older adult lead to different identity recognitions, and a positive age identity makes them more willing to participate in society. The government should consider the diversity and complexity of older adult and provide more opportunities for them to participate in social activities in order to improve their quality of life and level of social participation, allowing them to maintain a positive age identity.

Indexed as

AgingHealthy AgingSocial IdentificationSocial ParticipationAgedAged, 80 and overAge FactorsChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedVolunteersAge identificationHealthy agingSocial participation

Identifiers

PMID40169953
PMCPMC11963424

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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.