Evidence map›Paper›PMID 42298477›Full record

ArticleBMC public health2026

Delayed retirement and low self-worth among older adults: evidence from CLASS.

Guofeng Guan, Hangyu Zhang, Lu Wang, Qing Wang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Guofeng GuanSchool of Economics, Xinjiang College of Science and Technology, Korla Xinjiang, 841000, China.
Hangyu ZhangSchool of Economics, Xinjiang College of Science and Technology, Korla Xinjiang, 841000, China.
Lu WangSchool of Public Finance and Administration, Tianjin University of Finance and Economics, Tianjin, 300000, China. tcwl@tjufe.edu.cn.
Qing WangBayingolin Vocational and Technical College, Korla Xinjiang, 841000, China.

Funding

Research Project on the Theory and Practice of the Party's New Era Governance Strategy for Xinjiang by the Autonomous Region Social Sciences Federation 2026ZJFLY80the Research and Reform Project on Undergraduate Education and Teaching in Autonomous Region Universities No. XJGXJGPTB-2025154
6 · The paper itself

Abstract

Against the background of population aging and ongoing debate over retirement-age reform in China, this study examines whether delayed-retirement behaviour is associated with low self-worth among older adults. Using panel data from the 2018 and 2020 waves of the China Longitudinal Aging Social Survey (CLASS), the paper investigates the association between delayed retirement and low self-worth among older adults and explores the mechanisms underlying this relationship. The empirical results show that delayed retirement is associated with a lower likelihood of low self-worth among older adults. This finding remains robust across a series of alternative specifications and supplementary robustness checks. Heterogeneity analysis further indicates that the association is more pronounced among older women and older adults engaged in informal employment. Mechanism analysis suggests that delayed retirement may be linked to a lower likelihood of low self-worth through stronger social interactions, greater economic participation, and enhanced intergenerational economic support.These findings enrich the literature on the subjective welfare consequences of delayed retirement and may inform policy discussions on later-life work and ageing in China.

Indexed as

RetirementSelf ConceptAgedChinaFemaleHumansLongitudinal StudiesTime FactorsDelayed retirementEconomic participationIntergenerational economic supportLow self-worthSocial interactions

Identifiers

PMID42298477
PMCPMC13495314

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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.