Parental age at death is associated with age at first birth in offspring.

Aging Evolution Parental age at death Reproductive timing

Journal

Experimental gerontology
ISSN: 1873-6815
Titre abrégé: Exp Gerontol
Pays: England
ID NLM: 0047061

Informations de publication

Date de publication:
11 Mar 2024
Historique:
received: 08 01 2024
revised: 06 03 2024
accepted: 07 03 2024
medline: 14 3 2024
pubmed: 14 3 2024
entrez: 13 3 2024
Statut: aheadofprint

Résumé

People age at different rates and the available evidence suggests that the rate of aging is partly inherited from previous generations. This heterogeneity in aging is evident already in midlife, but to what extent aging is associated with the timing of events earlier in life is not fully known. Here we aim to shed light on this topic by investigating the trade-off between reproduction and aging postulated by evolutionary theories of aging. Drawing on the inheritance of aging we use parental age at death as a proxy for aging-rates in the offspring, and study how age at first birth depends on this variable. We use data from an almost complete Swedish birth cohort comprising 92,359 individuals. Accelerated failure time models are used to estimate the association between parental age at death and age at first birth while adjusting for parental occupational class, educational attainment, and income. Longer parental lifespans were consistently associated with older age at first births, both in men and women. Our findings suggest that aging-related processes may be interrelated with the processes underlying the timing of reproduction and are in general agreement with evolutionary theories of aging.

Identifiants

pubmed: 38479685
pii: S0531-5565(24)00038-X
doi: 10.1016/j.exger.2024.112396
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112396

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Anna Thalén (A)

Department of Public Health Sciences, Stockholm University SE-106 91, Stockholm, Sweden.

Anders Ledberg (A)

Department of Public Health Sciences, Stockholm University SE-106 91, Stockholm, Sweden. Electronic address: anders.ledberg@su.se.

Classifications MeSH