Anthropometric Indices and Age at Natural Menopause: A 15-Year Follow-up Population-Based Study.

IF 2.1 Q3 ENDOCRINOLOGY & METABOLISM

International Journal of Endocrinology and Metabolism Pub Date : 2021-08-05 eCollection Date: 2021-10-01 DOI:10.5812/ijem.109285

Maryam Farahmand, Fahimeh Ramezani Tehrani, Maryam Rahmati, Fereidoun Azizi

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引用次数: 2

Abstract

Background: Following menopause, the risk of many diseases is increased, and this situation may be due to changes in anthropometric indices (AI), while the association between adiposity and age at natural menopause (ANM) is not clear yet.

Objectives: This longitudinal study was conducted to investigate the ability of AI in predicting ANM.

Methods: For this purpose, a total of 3,876 women aged > 20 years old from participants of the Tehran lipid and glucose study (TLGS) met our eligibility criteria. The association between ANM and various AIs was assessed using the Accelerated Failure Time (AFT) model, and time ratio (TR) with 95% confidence intervals was reported in this longitudinal study.

Results: The median [interquartile range (IQR) 25 - 75] of the survival time was 12.5 (7.9 - 15.8) years. At the end of the follow-up, 1,479 (38.2%) of the participants reached menopause. The median time to natural menopause was decreased by about 2% with one standard deviation (SD) increase of both a body shape index (ABSI) (time ratio (TR): 0.98, 95% CI: 0.97, 0.99) and lipid accumulation product (LAP) (TR: 0.98, 95% CI: 0.98, 0.99) z-scores; and this time was increased by about 1% (TR: 1.01, 95% CI: 1.00, 1.02) with one SD increase in body mass index (BMI) z-score.

Conclusions: The ABSI, LAP, and BMI were the most useful AIs for identification of the time to menopause onset, and ABSI and LAP were inversely associated with the ANM. Also, the BMI was directly associated with the ANM.

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人体测量指数与自然绝经年龄:一项为期15年的基于人群的随访研究。

背景:绝经后，许多疾病的风险增加，这种情况可能是由于人体测量指数(AI)的变化，而肥胖与自然绝经年龄(ANM)之间的关系尚不清楚。目的:本纵向研究旨在探讨人工智能预测ANM的能力。方法:为此，来自德黑兰脂质和葡萄糖研究(TLGS)参与者的3876名年龄> 20岁的女性符合我们的资格标准。使用加速失效时间(AFT)模型评估ANM与各种ai之间的关联，并在该纵向研究中报告了95%置信区间的时间比(TR)。结果:存活时间中位数[四分位间距(IQR) 25 ~ 75]为12.5(7.9 ~ 15.8)年。在随访结束时，1479名(38.2%)参与者进入更年期。到自然绝经的中位时间减少了约2%，体型指数(ABSI)(时间比(TR): 0.98, 95% CI: 0.97, 0.99)和脂质堆积产物(LAP) (TR: 0.98, 95% CI: 0.98, 0.99) z-得分均增加了一个标准差(SD);这次体重指数(BMI) z-score增加1个标准差，增加约1% (TR: 1.01, 95% CI: 1.00, 1.02)。结论:ABSI、LAP和BMI是确定绝经时间最有用的ai, ABSI和LAP与ANM呈负相关。此外，BMI与ANM直接相关。

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来源期刊

International Journal of Endocrinology and Metabolism ENDOCRINOLOGY & METABOLISM-

CiteScore

3.10

自引率

4.80%

发文量

期刊介绍： The aim of the International Journal of Endocrinology and Metabolism (IJEM) is to increase knowledge, stimulate research in the field of endocrinology, and promote better management of patients with endocrinological disorders. To achieve this goal, the journal publishes original research papers on human, animal and cell culture studies relevant to endocrinology.