Evidence map›Paper›PMID 40749321›Full record

ArticleChild abuse & neglect2025

Adverse childhood experiences and depressive symptoms across adolescence and adulthood: A latent class analysis and time-varying effect model.

Linghua Jiang, Sara A Vasilenko, Xiafei Wang

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Article in Child abuse & neglect, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Linghua JiangDepartment of Human Development and Family Science, David B. Falk College of Sport and Human Dynamics, Syracuse University, Syracuse, NY, USA. Electronic address: ljiang04@syr.edu.
Sara A VasilenkoDepartment of Human Development and Family Science, David B. Falk College of Sport and Human Dynamics, Syracuse University, Syracuse, NY, USA.
Xiafei WangCollege of Social Work, University of Kentucky, Lexington, KY, USA.

Funding

Multilevel risk profiles and reproductive health across adolescence and young adulthood.R03HD096101 · NICHD · SYRACUSE UNIVERSITY · PI VASILENKO, SARA A. · 2019 to 2020
$161k
The Impact of Longitudinal Patterns of Adverse Childhood Experiences on Adolescent Reproductive Health: Examining Factors that Promote ResilienceR03HD112550 · NICHD · SYRACUSE UNIVERSITY · PI VASILENKO, SARA A., WANG, XIAFEI · 2023 to 2023
$149k
NICHD NIH HHS R03 HD096101NICHD NIH HHS R03 HD112550
6 · The paper itself

Abstract

backgroundAdverse childhood experiences (ACEs) greatly affect depression. The association between different patterns of ACEs and depressive symptoms might differ across age and gender.

objectiveThe aim of the study was to identify patterns of ACEs and examine gender differences in the association between different patterns of ACEs and depressive symptoms across adolescence and emerging adulthood. PARTICIPANTS AND

settingThe study used data (N = 3342) from the National Longitudinal Study of Adolescent to Adult Health.

methodsWe first used Latent Gold to identify the most suitable model. Then, dichotomous indicators of membership in each class (except for a reference class) were entered in the model as time-varying predictors to test the effect of class membership on depressive symptoms over age.

resultsA 5-class model was identified: (1) Low ACEs, (2) Parental Alcohol Use and Divorce, (3) Violence, (4) Abuse and Neglect, and (5) Multiple ACEs. The association between Multiple ACEs classification and depressive symptoms was stronger for women than men at ages 23 and 27.5. The association between being in the Parental Alcohol Use and Divorce class and depressive symptoms was stronger for female participants than male participants between ages 13.5 and 16, and ages 23 and 30. Being in the Abuse and Neglect class was significantly associated with higher level of depressive symptoms for female, but not male, participants between ages 19 and 23.

conclusionFindings point to the need for further inquiries into the synergistic effects of early adversity and gender on the timing and persistence of depressive symptoms.

Indexed as

Adverse Childhood ExperiencesDepressionAdolescentAdultChildChild AbuseFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleSex FactorsYoung AdultAdolescenceAdverse childhood experiencesDepressive symptomsEmerging adulthoodGender differencesLatent class analysis (LCA)Time-varying effect modeling (TVEM)

Identifiers

PMID40749321
PMCPMC12715817

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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.