Gold E B, Bromberger J, Crawford S, Samuels S, Greendale G A, Harlow S D, Skurnick J
Department of Epidemiology and Preventive Medicine, University of California, Davis, Davis, CA 95616, USA.
Am J Epidemiol. 2001 May 1;153(9):865-74. doi: 10.1093/aje/153.9.865.
An unprecedented number of women will experience menopause in the next decade. Although the timing of menopause affects long-term disease risk, little is known about factors that affect this timing. In the present 1995--1997 cross-sectional study, the Study of Women's Health Across the Nation, the relation of demographic and lifestyle factors to age at natural menopause was examined in seven US centers and five racial/ethnic groups. All characteristics were self-reported by women aged 40--55 years (n = 14,620). Cox proportional hazards models were used to estimate the probability of menopause by age. Overall, median age at natural menopause was 51.4 years, after adjustment for smoking, education, marital status, history of heart disease, parity, race/ethnicity, employment, and prior use of oral contraceptives. Current smoking, lower educational attainment, being separated/widowed/divorced, nonemployment, and history of heart disease were all independently associated with earlier natural menopause, while parity, prior use of oral contraceptives, and Japanese race/ethnicity were associated with later age at natural menopause. This sample is one of the largest and most diverse ever studied, and comprehensive statistical methods were used to assess factors associated with age at natural menopause. Thus, this study provides important insights into this determinant of long-term disease risk in women.
在未来十年,将有数量空前的女性经历更年期。尽管更年期的时间会影响长期疾病风险,但对于影响这一时期的因素却知之甚少。在1995年至1997年进行的一项名为“全国女性健康研究”的横断面研究中,研究人员在美国的七个中心和五个种族/族裔群体中,调查了人口统计学和生活方式因素与自然绝经年龄之间的关系。所有特征均由40至55岁的女性自我报告(n = 14,620)。使用Cox比例风险模型来估计按年龄计算的绝经概率。总体而言,在对吸烟、教育程度、婚姻状况、心脏病史、生育次数、种族/族裔、就业情况以及既往口服避孕药使用情况进行调整后,自然绝经的中位年龄为51.4岁。当前吸烟、教育程度较低、分居/丧偶/离婚、无业以及心脏病史均与自然绝经较早独立相关,而生育次数、既往口服避孕药使用情况以及日本种族/族裔则与自然绝经年龄较晚相关。该样本是有史以来研究规模最大、多样性最高的样本之一,并且使用了综合统计方法来评估与自然绝经年龄相关的因素。因此,这项研究为女性长期疾病风险的这一决定因素提供了重要见解。