Suppr超能文献

一项大型澳大利亚双胞胎研究中绝经年龄的预测因素。

Predictive factors of age at menopause in a large Australian twin study.

作者信息

Do K A, Treloar S A, Pandeya N, Purdie D, Green A C, Heath A C, Martin N G

机构信息

Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Australia.

出版信息

Hum Biol. 1998 Dec;70(6):1073-91.

PMID:9825597
Abstract

Various studies have investigated potential predictors of age at natural menopause but have produced inconsistent results. The relationship between age at natural menopause and socioeconomic, reproductive, and health behavioral factors was evaluated using longitudinal data from 5961 Australian female twins, aged 17 to 88 years at the time of study. The sample consisted of women voluntarily enrolled in the Australian Twin Registry. Failure-time analysis was the principal statistical method used to handle censored observations. Kaplan-Meier estimates showed the overall median age at natural menopause to be 51 years (95% confidence interval, 50-51). Median age at menopause was earlier for women with earlier birth year, women with late age of menarche, women who had no children, or women who were smokers. Differences in age at menopause between social, occupational, and educational groups were statistically significant (Mantel-Cox test, p < 0.001) for education, major occupational classification, combined income, and self-rated social class, with higher age at menopause for higher levels of each variable. A Cox proportional hazards model was used to estimate the odds ratio of the occurrence of natural menopause among different sub-groups, adjusted to reflect simultaneous effects of all other significant covariates. This large study provided clear trends of association in predictors relating to age at menopause. These trends may help to resolve uncertainties and conflicting results identified in studies of comparable white samples. The nature of the twin data also sets a solid background for future analyses of genetic and environmental variance components using statistical modeling or related methods.

摘要

多项研究调查了自然绝经年龄的潜在预测因素,但结果并不一致。利用来自5961名澳大利亚女性双胞胎的纵向数据,评估了自然绝经年龄与社会经济、生殖和健康行为因素之间的关系,这些双胞胎在研究时年龄在17至88岁之间。样本包括自愿加入澳大利亚双胞胎登记处的女性。失效时间分析是处理删失观测值所使用的主要统计方法。Kaplan-Meier估计显示,自然绝经的总体中位年龄为51岁(95%置信区间,50 - 51)。出生年份较早、初潮年龄较晚、没有子女或吸烟的女性,其绝经中位年龄更早。社会、职业和教育群体之间的绝经年龄差异在教育程度、主要职业分类、综合收入和自评社会阶层方面具有统计学意义(Mantel-Cox检验,p < 0.001),每个变量水平越高,绝经年龄越大。使用Cox比例风险模型来估计不同亚组中自然绝经发生的比值比,并进行调整以反映所有其他显著协变量的同时效应。这项大型研究提供了与绝经年龄相关的预测因素的明确关联趋势。这些趋势可能有助于解决在可比白人样本研究中发现的不确定性和相互矛盾的结果。双胞胎数据的性质也为未来使用统计建模或相关方法分析遗传和环境方差成分奠定了坚实的基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验