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

**Authors:** Hsiao-Hsiao Tan, Yi-Chan Lee, Ya-Mei Chen, Tung-liang Chiang, Muhammad Fawad, Muhammad Fawad, Sreeram V. Ramagopalan, Sreeram V. Ramagopalan, Sreeram V. Ramagopalan

PMC · DOI: 10.1371/journal.pone.0327191 · PLOS One · 2025-07-03

## TL;DR

This study explores how socioeconomic status across life stages affects health in elderly people in Taiwan.

## Contribution

The study reveals that each socioeconomic indicator independently and cumulatively influences health outcomes in old age.

## Key findings

- Health improvements correlate with accumulated socioeconomic status across life stages.
- Each socioeconomic indicator has an independent effect on health outcomes.
- Policies for better later-life health should target early life stages.

## Abstract

Individuals’ 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.

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

The 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.

Of 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.

Health 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.

## Full-text entities

- **Diseases:** disability (MESH:D009069), activities of (OMIM:612348), TLSA (MESH:D017887), ORCID iD (MESH:C535742), ADL disability (MESH:D020773), NTD (MESH:D009436)
- **Chemicals:** PONE-D-24-26589R3 (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** Line — Mus musculus (Mouse), Adenoma of the mouse pulmonary system, Cancer cell line (CVCL_5V03)

## Full text

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## Figures

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## References

52 references — full list in the complete paper: https://tomesphere.com/paper/PMC12225796/full.md

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Source: https://tomesphere.com/paper/PMC12225796