Literature DB >> 30831215

Body size at birth, early-life growth and the timing of the menopausal transition and natural menopause.

Mandy Goldberg1, Heba Tawfik2, Jennie Kline3, Karin B Michels4, Ying Wei5, Piera Cirillo6, Barbara A Cohn6, Mary Beth Terry7.   

Abstract

BACKGROUND: Whether birth weight and early-life growth are associated with age at menopause has not been resolved.
METHODS: We conducted a prospective study in two U.S. birth cohorts to investigate the relation of weight at birth and weight and growth trajectory through age 4 years to menstrual status among 1001 women ages 39-49 years. We used logistic regression models with GEE.
RESULTS: Women who weighed more at birth and at one year were less likely to have experienced the menopausal transition or natural menopause by age 39-49 years (odds ratio(OR) = 0.50, 95% confidence interval(CI) = 0.32, 0.77 and OR = 0.82, 95%CI = 0.68, 0.99 per kilogram increase at birth and age one, respectively).
CONCLUSIONS: Women who had a lighter weight at birth and women who were lighter than their peers through infancy experienced the menopausal transition or natural menopause at an earlier age.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Birth weight; Early life; Growth; Menopause; Prenatal exposure

Mesh:

Year:  2019        PMID: 30831215     DOI: 10.1016/j.reprotox.2019.02.013

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  3 in total

1.  Association of In Utero Exposures With Risk of Early Natural Menopause.

Authors:  Christine R Langton; Brian W Whitcomb; Alexandra C Purdue-Smithe; Lynnette L Sievert; Susan E Hankinson; JoAnn E Manson; Bernard A Rosner; Elizabeth R Bertone-Johnson
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363

2.  CHDS: A national treasure that keeps on giving.

Authors:  Suzanne E Fenton; Linda S Birnbaum
Journal:  Reprod Toxicol       Date:  2020-02-22       Impact factor: 3.143

3.  The Causal Evidence of Birth Weight and Female-Related Traits and Diseases: A Two-Sample Mendelian Randomization Analysis.

Authors:  Renke He; Rui Liu; Haiyan Wu; Jiaen Yu; Zhaoying Jiang; Hefeng Huang
Journal:  Front Genet       Date:  2022-08-12       Impact factor: 4.772

  3 in total

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