Department of Psychology, Emory University.
J Psychopathol Clin Sci. 2024 May;133(4):333-346. doi: 10.1037/abn0000900. Epub 2024 May 6.
Externalizing psychopathology has been found to have small to moderate associations with neighborhood and family sociodemographic characteristics. However, prior studies may have used suboptimal operationalizations of neighborhood sociodemographic characteristics and externalizing psychopathology, potentially misestimating relations between these constructs. To address these limitations, in the current study we test different measurement models of these constructs and assess the structural relations between them. Using a population-representative sample of 2,195 twins and siblings from the Georgia Twin Study and data from the National Neighborhood Data Archive and 2000 U.S. Census, we assessed the fit of competing measurement models for family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics. In structural models, we regressed a general externalizing dimension on different operationalizations of these variables separately and then simultaneously in a final model. Latent variable operationalizations of family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics explained no more variance in broad externalizing psychopathology than other operationalizations. In an omnibus model, family sociodemographic characteristics showed a small association with externalizing psychopathology, while neighborhood sociodemographic and environmental characteristics did not. Family sociodemographic characteristics showed small associations with neighborhood sociodemographic and environmental characteristics, and neighborhood sociodemographic characteristics were moderately associated with neighborhood environment. These findings suggest that family sociodemographic characteristics are more associated with the development of broad externalizing psychopathology in youth than neighborhood sociodemographic characteristics and neighborhood environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
外化型精神病理学与邻里和家庭社会人口学特征之间存在小到中等程度的关联。然而,先前的研究可能使用了邻里社会人口学特征和外化型精神病理学的次优操作化,从而可能高估了这些结构之间的关系。为了解决这些局限性,在当前研究中,我们测试了这些结构的不同测量模型,并评估了它们之间的结构关系。我们使用了来自佐治亚双胞胎研究的具有代表性的 2195 对双胞胎和兄弟姐妹的样本以及来自国家邻里数据档案和 2000 年美国人口普查的数据,评估了家庭社会人口学、邻里社会人口学和邻里环境特征的竞争测量模型的拟合情况。在结构模型中,我们分别在不同的操作化下对一般外化维度进行回归,然后在最终模型中同时进行回归。家庭社会人口学、邻里社会人口学和邻里环境特征的潜在变量操作化在外化型精神病理学的广泛表现上解释的方差并不比其他操作化多。在一个综合模型中,家庭社会人口学特征与外化型精神病理学呈弱相关,而邻里社会人口学和环境特征则没有。家庭社会人口学特征与邻里社会人口学和环境特征呈弱相关,而邻里社会人口学特征与邻里环境呈中等程度相关。这些发现表明,家庭社会人口学特征与青少年广泛的外化型精神病理学发展的相关性大于邻里社会人口学特征和邻里环境。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。