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Cardiometabolic disease burden and first health-related cessation of work among middle-aged Chinese adults: a longitudinal competing-exit study.

Created on 12 Oct 2026

Authors

Yibin Mei, Yingwei Gong, Jiawei Liu, Xianjun Wu

Published in

Journal of occupational health. Oct 11, 2026. Epub Oct 11, 2026.

Abstract

To examine whether a time-updated count of physician-diagnosed cardiometabolic conditions is associated with first survey-reported health-related cessation of work among adults in China.
We analyzed 4,404 participants aged 45-60 years working and neither formally retired nor reporting baseline health-related work disruption in the China Health and Retirement Longitudinal Study. Across three intervals from 2011 to 2018, the exposure was the lagged, time-updated count of physician-diagnosed hypertension, diabetes, heart disease, stroke, and kidney disease. The outcome was first health-related work exit, with retirement, other exit, and death as competing states. The primary association was estimated with discrete-time cause-specific pooled logistic regression, participant-clustered standard errors, and 50 longitudinal imputations.
The cohort contributed 10,852 observed person-periods and 346 health-related work exits. Each additional diagnosed cardiometabolic condition was associated with higher odds of health-related work exit after adjustment for interval, age, sex, education, work type, smoking, alcohol, and body mass index (odds ratio 1.73, 95% confidence interval 1.51-1.97). Estimates were similar across clustering, weighting, and other sensitivity analyses. By Wave 4, standardized cumulative incidence was 6.4%, 10.5%, and 16.6% for condition counts 0, 1, and 2.
A higher count of physician-diagnosed cardiometabolic conditions was prospectively associated with first survey-reported health-related cessation of work, although residual confounding by unmeasured socioeconomic and job-demand factors cannot be excluded. Replication with adjudicated employment outcomes and cross-cohort validation is needed before policy or causal interpretation.

PMID:
42860028
Bibliographic data and abstract were imported from PubMed on 12 Oct 2026.

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