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Association between maternal depression symptoms and child telomere length.

Authors :
Walker CG
Thayer ZM
Marks EJ
Ly KN
Pillai A
Waldie K
Underwood L
Snell RG
Knowles SD
Cha JE
Morton SMB
Source :
Journal of psychiatric research [J Psychiatr Res] 2024 Jun; Vol. 174, pp. 319-325. Date of Electronic Publication: 2024 Apr 23.
Publication Year :
2024

Abstract

The biological mechanisms that explain how adverse early life events influence adult disease risk are poorly understood. One proposed mechanism is via the induction of accelerated biological aging, for which telomere length is considered a biomarker. We aimed to determine if maternal depression pre- and post-partum was associated with telomere length in children at 4 years of age (n = 4299). Mothers completed structured questionnaires assessing depression during pregnancy (Edinburgh Depression Scale), at 9 months (Edinburgh Depression Scale), and at 54 months postpartum (Patient Health Questionnaire 9). Regression methods were used to investigate the relationship between telomere length (DNA from saliva) and maternal depression score recorded at each stage. Significant covariates included in the final model were: maternal age at pregnancy; child sex; child ethnicity; gestational age group, and rurality group. Child telomere length was found to be longer if their mother had a higher depression score at both postpartum time points tested (9 months of age; coefficient 0.003, SE = 0.001, P = 0.01, 54 months of age; coefficient 0.003, SE = 0.002, P = 0.02). Although these findings seem paradoxical, increased telomere length may be an adaptive response to early life stressors. We propose several testable hypotheses for these results and to determine if the positive association between depression and telomere length is a developmental adaptation or an indirect consequence of environmental factors.<br />Competing Interests: Declaration of competing interest None.<br /> (Copyright © 2024. Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
1879-1379
Volume :
174
Database :
MEDLINE
Journal :
Journal of psychiatric research
Publication Type :
Academic Journal
Accession number :
38685189
Full Text :
https://doi.org/10.1016/j.jpsychires.2024.04.037