Literature DB >> 33613452

Female Fertility Has a Negative Relationship With Longevity in Chinese Oldest-Old Population: A Cross-Sectional Study.

Qiao Zhu1, Shihui Fu2, Qian Zhang3, Jinwen Tian2, Yali Zhao1, Yao Yao4,5.   

Abstract

Background: Despite research efforts in this field for more than a century, the relationship between female fertility and longevity is unclear. This study was designed to investigate this relationship in Chinese oldest-old population.
Methods: The China Hainan Centenarian Cohort Study was performed in 18 cities and counties of Hainan. A total of 1,226 females, including 758 centenarian women and 468 women aged 80-99 years, were enrolled in this study. Using a standardized protocol, in-person interviews and blood analyses were conducted by a well-trained research team through home visits.
Results: Centenarian women had significantly lower number of children (NOC) and higher initial childbearing age (ICA) and last childbearing age (LCA) than women aged 80-99 years (p < 0.05 for all). Multivariate logistic regression analysis showed that NOC and testosterone (T) levels were positively associated with women aged 80-99 years, when centenarian women was considered as reference (p < 0.05 for all). ICA, LCA, and estradiol (E2) levels were negatively associated with women aged 80-99 years, when centenarian women was considered as reference (p < 0.05 for all). Conclusions: The centenarians had crucial characteristics of less and delayed childbearing, indicating a negative relationship between female fertility and longevity in Chinese oldest-old population. Serum E2 levels were positively associated and serum T levels were negatively associated with longevity. The less and late childbearing might be a significant factor of longevity, and successful aging might be promoted by reducing and delaying female childbearing.
Copyright © 2021 Zhu, Fu, Zhang, Tian, Zhao and Yao.

Entities:  

Keywords:  centenarian; female fertility; longevity; negative relationship; oldest-old population

Mesh:

Substances:

Year:  2021        PMID: 33613452      PMCID: PMC7887279          DOI: 10.3389/fendo.2020.616207

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


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