Why the study?
The study was designed to evaluate female-specific characteristics and risks of chronic diseases in Chinese women, focusing on the potential association between menopause and CVD risks to establish a better female CVD risk assessment tool.
The Jidong Women Health Cohort Study establishes a baseline for evaluating the association between menopause and cardiovascular disease risk in Chinese women.
Baseline cardiometabolic differences across STRAW stages may guide monitoring in Chinese women; hypothesis-generating for menopause-CVD associations pending longitudinal data.
OBJECTIVE: The Jidong Women Health Cohort Study is a prospective cohort study on female-specific characteristics and risks of chronic diseases in Chinese women and focuses on the potential association between menopause and risks of cardiovascular disease (CVD). METHODS: The study includes 4,179 female participants with an age of older than 18 years from Caofeidian district, Tangshan city, northern China. Baseline information on female-specific characteristics and potential cardiovascular risk factors was collected and all the participants underwent a physical examination with blood samples collected in 2013. To establish a better risk assessment tool of female CVD, updated information from questionnaire investigation, physical examinations and occurrence of outcome events will be collected through a longitudinal follow-up annually up to the year 2024. RESULTS: At baseline, Mean age of the participants was 42.3 ± 12.8 years. Reproduction occurred in 2,948 participants (70.5%), menopausal transition in 173 (4.3%), and postmenopause in 1,058 (25.3%). The incidence of arterial hypertension, dyslipidemia, and diabetes showed significant difference across different groups stratified by Stage of Reproductive Aging Workshop (STRAW) system (P < 0.05). CONCLUSION: The Jidong Women Health Cohort Study will contribute to the scientific evidence on association between female-specific characteristics and cardiovascular risks, and will also be helpful to provide a new path for early detection and prevention of CVD.
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Qiu et al. (2019) studied this question.
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