ArticleChild abuse & neglect2023
Measuring adverse childhood experiences with latent class trajectories.
Article in Child abuse & neglect, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Adverse childhood experiences and adolescent mental health: trajectories of internalizing, externalizing and prosocial behaviour in a longitudinal cohort study.Epidemiology and psychiatric sciences · 2026Article
- Longitudinal patterns of threat- and deprivation-based childhood adversity and their impact on adolescent drinking, smoking, and depression.Child abuse & neglect · 2026Article
- Latent Class Analysis of Household and Community Adversity Among Pre-Adolescent Youth in the United States.Child psychiatry and human development · 2025Article
- Associations Among Childhood Household Income, Latent Classes of Early Adverse Childhood Experiences, and Adolescent Mental Health.Issues in mental health nursing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundAdverse childhood experiences (ACEs) are associated with several negative health and behavioral outcomes during adolescence, but most of the extant research has employed ACEs scores at one or two time points. Studies have not assessed whether latent class ACEs trajectories affect adolescent problem behaviors and conditions.
objectivesWe used longitudinal data from the Fragile Families and Child Wellbeing Study (FFCWS, n = 3444) to assess ACEs at several time points and empirically developed latent class trajectories. We then examined the sociodemographic characteristics of youth who belonged to each trajectory group. We next evaluated whether the ACEs trajectories during childhood were associated with delinquent behavior, substance use, and symptoms of anxiety or depression. Finally, we explored whether closeness to mother buffered the impact of ACEs on these outcomes.
methodsEight types of ACEs were captured in the FFCWS data. ACE scores were assessed at year one, three, five, and nine, along with the outcomes during year 15. Trajectories were estimated with a semiparametric latent class models.
resultsThe analysis revealed three latent trajectories during childhood: a low/none ACEs group, a medium exposure group, and a high exposure group. Adolescents in the high exposure group manifested a heightened risk of involvement in delinquent behaviors and substance use. They also reported more symptoms of anxiety and depression than their peers in the low/none and medium exposure groups.
conclusionsRepeated exposure to ACEs during childhood can have serious negative repercussions in the lives of adolescents, but maternal closeness may buffer their effects. Scholars should continue to examine the dynamics of ACEs exposure during childhood by using empirical approaches appropriate for identifying age-graded trajectories.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.