Mean age at menarche and climate variables on a global scale

Author:

Gold Claire L.1ORCID,Kitrinos Catherine E.1,Sievert Lynnette L.1,Kamilar Jason M.12

Affiliation:

1. Department of Anthropology University of Massachusetts Amherst Amherst Massachusetts USA

2. Organismic & Evolutionary Biology University of Massachusetts Amherst Amherst Massachusetts USA

Abstract

AbstractObjectivesCross‐population variation in age at menarche is related to many factors. The purpose of this study was to examine climate variables in relation to mean age at menarche among 87 modern human populations. We hypothesized a later age at menarche among populations living in areas with high precipitation variability, heavy seasonal rainfall, and high temperatures year‐round due to water‐borne diseases and periods of resource scarcity.MethodsUsing a comparative dataset, we examined geospatial distribution and climate variables in relation to age at menarche for 87 modern human populations.ResultsWe found the strongest predictor of a later age at menarche was higher fertility followed by a later mean age at death. In addition, higher annual rainfall, higher precipitation seasonality, and lower annual mean temperature were moderate predictors of age at menarche.ConclusionsWe propose that later ages at menarche in countries with high fertility may be a life‐history strategy developed in response to climatic conditions that have resulted in higher immunological load. In these conditions, females may prioritize growth rather than reproduction. Shifts in climate and global population growth may change the future biological landscape of age at menarche.

Publisher

Wiley

Subject

Genetics,Anthropology,Ecology, Evolution, Behavior and Systematics,Anatomy

Reference44 articles.

1. Size at Birth Predicts Age at Menarche

2. Bartoń K.(2022).MuMIn: Multi‐modal inference. Model selection and model averaging based on information criteria (AICc and alike) (R package version 1.46.0.) [Computer software].https://CRAN.R-project.org/package=MuMIn

3. Fitting Linear Mixed-Effects Models Usinglme4

4. Puberty in Girls of the 21st Century

5. Bivand R. Rundel C. Pebesma E. Rainer S. Hufthammer K. O. Giraudoux P. Davis M. &Sandro S.(2021).Rgeos: Interface to Geometry Engine—Open Source (‘GEOS’) (R package version 0.5‐9) [Computer software].https://CRAN.R-project.org/package=rgeos

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3