Evidence map›Paper›PMID 42011421›Full record

ArticleJournal of mood and anxiety disorders2026

Accumulation and sensitive period effects for childhood abuse and financial hardship on depressive symptoms in late adolescence.

Erin C Dunn, Theresa W Cheng, Yiwen Zhu, Alexandre A Lussier, Katherine N Thompson, Andrew D A C Smith, Henning Tiemeier, Ezra S Susser

Abstract read
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Article in Journal of mood and anxiety disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Erin C DunnCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
Theresa W ChengCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
Yiwen ZhuCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
Alexandre A LussierCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
Katherine N ThompsonDepartment of Sociology, College of Liberal Arts, Purdue University, West Lafayette, IN, United States.
Andrew D A C SmithMathematics and Statistics Research Group, University of the West of England, Bristol, United Kingdom.
Henning TiemeierDepartment of Child Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.
Ezra S SusserDepartment of Epidemiology, Mailman School of Public Health, Columbia University, United States.

Funding

Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
Genes, early adversity, and sensitive periods in social-emotional developmentK01MH102403 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN · 2014 to 2017
$710k
NIMH NIH HHS K01 MH102403NIMH NIH HHS R01 MH113930
6 · The paper itself

Abstract

Background: Childhood adversity is a potent and modifiable risk factor for depression. Few studies have investigated how the developmental timing of adversity exposure shapes depression risk. We investigated whether there were sensitive periods, or age stages when two types of adversity (caregiver abuse, financial hardship) had stronger associations with depressive symptoms in late adolescence. Methods: Data came from a prospective, longitudinal birth cohort of children in Avon, England (Avon Longitudinal Study of Parents and Children). Caregivers reported their children's adversity exposure at least seven times between 0 and 18 years of age. Child participants self-reported depressive symptoms (Short Mood and Feelings Questionnaire) at 18.5 years old. We used a structured life course modeling approach (SLCMA) to characterize how sensitive period and accumulation hypotheses explained variation in depressive symptoms. Results: For females, accumulation best explained variation in depressive symptoms for both adversity types, with each additional developmental period of exposure associated with a 0.33-unit increase in depressive symptoms for caregiver abuse and 0.31-unit increase for financial hardship. For males, sensitive period hypotheses were selected for exposure to caregiver abuse (exposure at age 9 =2.13-unit and age 3.9 =1.46-unit increase), while an accumulation hypothesis was selected for exposure to financial hardship (0.40-unit increase in depression). Conclusions: Accumulation rather than sensitive period hypotheses generally best explained the relationship between adversity and depressive symptoms in late adolescence, but findings varied by sex and adversity type. These findings highlight the importance of considering multiple life course hypotheses, sex, and adversity type when investigating the downstream impacts of adversity.

Indexed as

AdolescenceAdversityALSPACChild developmentDepression

Identifiers

PMID42011421
PMCPMC13092055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.