医学
入射(几何)
糖尿病
更年期
绝经后妇女
内科学
疾病
风险因素
产科
2型糖尿病
妇科
肥胖
预测值
社区动脉粥样硬化风险
流行病学
代谢综合征
动脉粥样硬化性心血管疾病
炎症
人口
胰岛素抵抗
体质指数
风险评估
作者
Christina Chrysohoou,Panagιotis Iliakis,Anna Pitsillidi,Eleni Manta,Fotios Barkas,Evangelos Liberopoulos,Petros P. Sfikakis,C. Pitsavos,Costas Tsioufis,Demosthenes B. Panagiotakos
出处
期刊:Climacteric
[Taylor & Francis]
日期:2025-10-22
卷期号:29 (2): 231-238
被引量:2
标识
DOI:10.1080/13697137.2025.2567691
摘要
OBJECTIVE: This study aimed to examine the 20-year incidence of cardiovascular disease (CVD) in menopausal women, exploring the interplay of traditional and menopause-specific risk factors. METHOD: The ATTICA study is a prospective cohort survey established in 2001-2002, with three consecutive follow-ups performed in 2006, 2012 and 2022. A total of 1001 women with complete data for CVD evaluation comprised the sample of the current study. For the purposes of this analysis, women were classified according to their menopausal status (at menopause, 276 out of 1001 women [27.6%]). RESULTS: The 20-year cumulative CVD incidence was 321 cases among 1001 women (32%); 274 out of the 337 (81.3%) who were at menopause developed CVD, whereas 47 out of 664 at premenopause developed CVD (7.1%). Age-adjusted analysis revealed that postmenopausal women had 2.25 times (95% confidence interval: 1.20, 4.24) higher risk of CVD, compared to women not at menopause. The fully adjusted model revealed that history of diabetes and hypercholesterolemia were significant predictors for the 20-year-CVD events. Moreover, high-sensitivity C-reactive protein was a significant predictor for CVD events only in women aged above 52 years at menopause. CONCLUSION: Postmenopausal women had an age-adjusted 2.25 times higher 20-year risk of CVD, as compared to women who were not at menopause. Prevailed hypercholesterolemia and diabetes were the most important determinants for long-term CVD events, whereas chronic systemic inflammation had significant predictive value only in women aged above 52 years at menopause.
科研通智能强力驱动
Strongly Powered by AbleSci AI