Evidence map›Paper›PMID 40608730›Full record

ArticlePloS one2025

Socioeconomic inequalities in health among elderly people in Taiwan: A life course perspective.

Hsiao-Hsiao Tan, Yi-Chan Lee, Ya-Mei Chen, Tung-Liang Chiang

Abstract read
In one paragraph

Article in PloS one, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Hsiao-Hsiao TanInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID https://orcid.org/0009-0002-4684-9299
Yi-Chan LeeInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
Ya-Mei ChenInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
Tung-Liang ChiangInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals' health could be well predicted through their lifetime trajectories. Those with greater socioeconomic advantages tend to exhibit better health and a slower rate of health decline as they age, and vice versa.

objectiveThis study aims to investigate how health trajectory in old age is shaped by the accumulation of socioeconomic status (SES) across three life stages.

methodThe dataset used in this study is derived from the Taiwan Longitudinal Study on Aging (TLSA) conducted from 1989 to 2003, with 4,048 respondents aged 60 and older. A stratified analysis, utilizing Generalized Estimating Equations (GEE) models, is employed to investigate the interrelationships between SES across three life stages and the longitudinal patterns of three health outcomes.

resultOf all the participants over the five waves, participants' health declined with aging, while the proportion of higher SES among remaining individuals tended to increase. A gradient in health improvements is observed, corresponding to the accumulation of SES, even after adjusting for demographic factors and baseline health. Moreover, improvements in a single SES indicator are significantly associated with better health when controlling for the other two indicators (all p < 0.01). This indicates an independent effect of each SES indicator. Additionally, SES tends to be inherited from preceding statuses. The interaction among all three SES indicators cannot be overlooked when considering the association between SES and health.

conclusionHealth outcomes are shaped progressively and independently by each SES factor, with these effects being reinforced by the cumulative nature of SES. Policies aimed at enhancing later-life health are better implemented in early life stages. However, it is never too late, as each SES at different life stages has its own effect and cannot be offset.

Indexed as

AgingHealth Status DisparitiesSocial ClassAgedAged, 80 and overFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsTaiwan

Identifiers

PMID40608730
PMCPMC12225796

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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.