Evidence map›Paper›PMID 39090410›Full record

ArticleNature medicine2024

Determinants and inequities in healthy working life expectancy in China.

Chenshuang Li, Lingling Wang, Lieyun Ding, Ying Zhou

Abstract read
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In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  9. Healthy working life expectancy across birth cohorts in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  10. Article
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.

Chenshuang Li *Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
Lingling Wang *Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
Lieyun DingCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
Ying ZhouCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China. ying_zhou@hust.edu.cn.ORCID http://orcid.org/0000-0002-3661-9265

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.72071089National Natural Science Foundation of China (National Science Foundation of China) No.72122007
6 · The paper itself

Abstract

Many countries are raising the pension age to mitigate the challenges of population aging, but such a solution may ignore the disparities in health and working conditions across populations. Using large-scale longitudinal data from China, this study provides estimates of healthy working life expectancy (HWLE), defined as the average number of years expected to be spent healthy and in work from age 50 years, and highlights substantial inequities in HWLE by gender, socioeconomic status and geographical region. The HWLE from age 50 years was, on average, 6.87 (95% confidence interval: 6.70 to 7.04) years in China. Hypertension was the leading chronic condition for people working unhealthily (5.67 years for men and 4.85 years for women), and arthritis contributed the largest differences in unhealthy working years across people by occupation (agricultural laborer versus enterprise employee, 3.28 years). Moreover, adopting healthy lifestyles was associated with gains in HWLE (2.13 years for men and 1.61 years for women). Our findings suggest that increasing the pension age through a 'one-size-fits-all' approach may not effectively meet the goal of extending working lives. Inclusive initiatives aimed at targeted populations to promote health or work conditions and to facilitate the pension system will be essential to improve HWLE by reducing inequities.

Indexed as

Life ExpectancyAdultAgedChinaFemaleHumansMaleMiddle AgedSocial ClassSocioeconomic Factors

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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.