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- Title
Type of menopause, age of menopause and cardiovascular disease: a cross-sectional study based on data from Rafsanjan cohort study.
- Authors
Jamali, Zahra; Khalili, Parvin; Ayoobi, Fatemeh; Vatankhah, Hajar; Esmaeili-Nadimi, Ali; Ranjbar, Faezeh Esmaeili; Vatanparast, Mahboubeh
- Abstract
Background: Cardiovascular disease is the leading cause of death among women, but sex-specific risk factors are incompletely understood. In this study, we aimed to assess the associations between the type of menopause, and age at natural menopause with the odds of cardiovascular disease (CVD), and coronary heart disease (CHD). Methods: This cross-sectional study is a part of data from the Rafsanjan Cohort Study (RCS) which is a branch of the Prospective Epidemiological Research Studies in Iran (PERSIAN). A sample of 1767 postmenopausal women were included. The diagnosis for CVD and CHD was based on self-report questionnaires. Menopause age was categorized as < 40, 40–44, 45–49, and ≥ 50. Also, the menopause types were classified as natural and induced menopause (surgery or chemotherapy). The association was evaluated by logistic regressions. Results: The menopause age < 40 years had higher odds of CVD compared to women with menopause age > 40 years (OR: 2.66; 95%CI 1.29–5.48). Women with induced menopause had higher odds of CVD compared to women with natural menopause (OR = 1.44, 95% CI 1.04–1.98). In terms of the odds of CHD, the results showed that the odds of CHD increased in menopause age < 40 years and induced menopause compared to reference groups (OR: 2.49, 95% CI 1.15–5.37, OR = 1.48; 95% CI 1.06–2.07, respectively). Conclusion: Premature menopause and induced menopause should be considered as important risk factors for CVD, and CHD. Health policymakers should pay more attention to the type of menopause and the age of menopause in postmenopausal women to predict the risk of CVD and preventive strategies.
- Subjects
CORONARY disease; POSTMENOPAUSE; PREMATURE menopause; EPIDEMIOLOGICAL research; CAUSES of death; LOGISTIC regression analysis
- Publication
BMC Women's Health, 2024, Vol 24, Issue 1, p1
- ISSN
1472-6874
- Publication type
Academic Journal
- DOI
10.1186/s12905-024-03452-x