ArticleDevelopment and psychopathology2019
Child maltreatment, adaptive functioning, and polygenic risk: A structural equation mixture model.
Article in Development and psychopathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Developmental Family Functioning and Conduct Disorder Symptoms in Teenagers: The Function of Cognitive Emotion Regulation.International journal of school health · 2024Article
- A person-centered data analytic approach to dopaminergic polygenic moderation of child maltreatment exposure.Developmental psychobiology · 2023Article
- Perspective Taking Ability in Psychologically Maltreated Children: A Protective Factor in Peer Social Adjustment.Frontiers in psychology · 2022Article
- What neuroscience has already done for us.BJPsych bulletin · 2020Article
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Authors and funding
4 authors.
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Abstract
This study used a structural equation mixture model to examine associations between child maltreatment, polygenic risk, and indices of adaptive functioning. Children aged 6 to 13 years (N = 1,004), half maltreated, half nonmaltreated, were recruited to attend a research day camp. Multi-informant indicators of prosocial behavior, antisocial behavior, withdrawn behavior, and depression were collected and used in a latent class analysis. Four classes emerged, characterizing "well-adjusted," "externalizing," "internalizing," and "socially dominant" groups. Twelve genetic variants, previously reported in the Gene × Environment literature, were modeled as one weighted polygenic risk score. Large main effects between maltreatment and adaptive functioning were observed (Wald = 35.3, df = 3, p < .0001), along with evidence of a small Gene × Environment effect (Wald = 13.5, df = 3, p = .004), adjusting for sex, age, and covariate interaction effects.
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