Association between reproductive lifespan and multimorbidity among Chinese postmenopausal women

初潮 更年期 逻辑回归 生殖医学 医学 生殖健康 妇科 人口学 内科学 怀孕 人口 环境卫生 生物 社会学 遗传学
作者
Jiao Jiao,Xuehua Feng,Ailing Gong,Yi Yao
出处
期刊:Menopause [Lippincott Williams & Wilkins]
标识
DOI:10.1097/gme.0000000000002419
摘要

Abstract Objective Although menopause is considered a risk factor for multimorbidity, few studies have explored the association between reproductive lifespan and multimorbidity. This study aimed to explore the association between reproductive lifespan and multimorbidity in postmenopausal Chinese women. Methods This cross-sectional study selected postmenopausal women as study participants. The reproductive lifespan refers to the interval between menarche and menopause. Multimorbidity refers to having two or more self-reported chronic diseases. We used a logistic regression model to explore potential associations based on the adjustment of a set of covariates. Results In total, 1,310 postmenopausal women with an average reproductive lifespan of 34 years were included in this study. The prevalence of multimorbidity was 22.2% (291/1,310) in postmenopausal women. Our findings showed that compared with postmenopausal women with the Q1 of reproductive lifespan (≤32 reproductive years), those with Q3 (35–37 reproductive years) and Q4 (≥38 reproductive years) were less likely to have multimorbidity (OR Q3 = 0.529, 95% CI Q3 = 0.347–0.805, OR Q4 = 0.510, 95% CI Q4 = 0.308–0.842), whereas those with Q2 (33–34 reproductive years) were not (OR = 0.700, 95% CI = 0.446–1.098). This study also revealed a linear trend in the association between the reproductive lifespan and multimorbidity; that is, the longer the reproductive lifespan, the lower the risk of multimorbidity. Conclusions In postmenopausal Chinese women, a longer reproductive lifespan was associated with a lower prevalence of multimorbidity. This study suggests that for the prevention and intervention of multimorbidity in postmenopausal women, healthcare professionals should screen and assess reproductive factors to identify high-risk individuals.
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