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BACKGROUND: Self-rated health (SRH) is a strong predictor of mortality in different populations. However, the associations between SRH measures and risk of ischemic heart disease (IHD) have not been extensively explored, especially in a Chinese population. METHODS AND RESULTS: More than 500 000 adults from 10 cities in China were followed from baseline (2004-2008) through December 31, 2013. Global and age-comparative SRH were reported from baseline questionnaires. Incident IHD cases were identified through links to well-established disease registry systems and the national health insurance system. During 3 423 542 person-years of follow-up, we identified 24 705 incident cases of IHD. In multivariable-adjusted models, both global and age-comparative SRH was significantly associated with incident IHD. Compared with excellent SRH, the hazard ratios for good, fair, and poor SRH were 1.02 (95% confidence interval [CI], 0.98-1.07), 1.32 (95% CI, 1.27-1.37), and 1.76 (95% CI, 1.68-1.85), respectively. Compared with better age-comparative SRH, the hazard ratios for same and worse age-comparative SRH were 1.23 (95% CI, 1.19-1.27) and 1.78 (95% CI, 1.70-1.86), respectively. The associations persisted in all subgroup analyses, although they were slightly modified by study location, education, and income levels. CONCLUSIONS: A simple questionnaire for self-assessment of health status was significantly associated with incident IHD in Chinese adults. Individuals and healthcare providers can use SRH measures as a convenient tool for assessing future IHD risk.

Original publication

DOI

10.1161/JAHA.117.006595

Type

Journal article

Journal

J Am Heart Assoc

Publication Date

22/09/2017

Volume

6

Keywords

Chinese, cohort study, ischemic heart disease, self‐rated health status, Adult, Biological Specimen Banks, China, Female, Health Status, Humans, Incidence, Life Style, Male, Middle Aged, Myocardial Ischemia, Population Surveillance, Predictive Value of Tests, Prospective Studies, Risk Assessment, Risk Factors, Self Report, Socioeconomic Factors, Time Factors, Urban Health