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初潮年龄与2型糖尿病风险的系统评价和荟萃分析。

Systematic review and meta-analysis of age at menarche and risk of type 2 diabetes.

作者信息

Janghorbani Mohsen, Mansourian Marjan, Hosseini Elham

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Esfahān, Iran,

出版信息

Acta Diabetol. 2014 Aug;51(4):519-28. doi: 10.1007/s00592-014-0579-x. Epub 2014 Mar 27.

DOI:10.1007/s00592-014-0579-x
PMID:24671509
Abstract

The relation of early menarche with type 2 diabetes mellitus (T2DM) remains inconsistent across studies. The objective of this systematic review and meta-analysis of published population-based observational studies was to assess the association between age at menarche and T2DM risk. We searched online data bases through December 2013 and examined the reference lists of pertinent articles. Summary relative risks (RRs) with 95 % confidence intervals (CIs) were calculated with a random-effects model. A total of 14 effect estimates from 10 eligible studies (three cross-sectional and seven cohort studies) included 315,428 participants and 22,085 cases of T2DM. Compared with the highest or middle category, women in the lowest category of age at menarche had higher risk of T2DM [summary RR (95 % CI) 1.22 (1.17, 1.28)]. These results were consistent between studies that conducted in the United States and in Europe. The association between age at menarche and T2DM was slightly stronger for cohort than for cross-sectional studies. These findings strongly support an association between younger age at menarche and increased risk of T2DM. Age at menarche may help identify women with increased risk of developing T2DM.

摘要

初潮过早与2型糖尿病(T2DM)之间的关系在各项研究中并不一致。本系统评价和荟萃分析纳入已发表的基于人群的观察性研究,旨在评估初潮年龄与T2DM风险之间的关联。我们检索了截至2013年12月的在线数据库,并查阅了相关文章的参考文献列表。采用随机效应模型计算汇总相对风险(RRs)及95%置信区间(CIs)。10项符合条件的研究(3项横断面研究和7项队列研究)共提供了14个效应估计值,纳入315,428名参与者和22,085例T2DM病例。与初潮年龄最高或中等类别相比,初潮年龄最低类别的女性患T2DM的风险更高[汇总RR(95%CI)1.22(1.17, 1.28)]。在美国和欧洲开展的研究结果一致。队列研究中初潮年龄与T2DM之间的关联略强于横断面研究。这些发现有力地支持了初潮年龄较小与T2DM风险增加之间的关联。初潮年龄可能有助于识别患T2DM风险增加的女性。

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