儿童虐待、适应功能和多基因风险：结构方程混合模型。
Child maltreatment, adaptive functioning, and polygenic risk: A structural equation mixture model.
机构信息
University of Minnesota.
Georgia State University.
出版信息
Dev Psychopathol. 2019 May;31(2):443-456. doi: 10.1017/S0954579419000014. Epub 2019 Mar 6.
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 Multi-informant indicators of prosocial behavior, antisocial behavior, withdrawn behavior, and depression were collected and used in a latent class analysis.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.
摘要
本研究采用结构方程混合模型，考察了儿童虐待、多基因风险与适应功能指标之间的关系。招募了 6 至 13 岁的儿童（N=1004），一半是受虐待的，一半是非受虐待的，参加研究日营。收集了亲社会行为、反社会行为、退缩行为和抑郁的多信息指标，并用于潜在类别分析。四个类别出现，描述了“适应良好”、“外化”、“内化”和“社会主导”群体。此前在基因×环境文献中报道的 12 种遗传变异被建模为一个加权多基因风险评分。观察到虐待和适应功能之间存在较大的主效应（Wald = 35.3，df = 3，p <.0001），同时也有证据表明基因×环境的小效应（Wald = 13.5，df = 3，p =.004），调整了性别、年龄和协变量交互作用的影响。
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