DePaul University.
University of Utah.
Dev Psychopathol. 2018 Feb;30(1):255-266. doi: 10.1017/S0954579417000608. Epub 2017 May 16.
Extant research consistently links youth externalizing problems and later maladaptive outcomes, and these behaviors are particularly detrimental given their relative stability across development. Although an array of risk and protective factors for externalizing problems have been identified, few studies have examined factors reflecting the multiple social-ecological levels that influence child development and used them to predict longitudinal trajectories of externalizing problems. The current study examined externalizing behavior trajectories in a sample of 1,094 at-risk youth (539 boys, 555 girls) from the Longitudinal Studies in Child Abuse and Neglect multisite longitudinal study of child maltreatment. Normed Child Behavior Checklist externalizing scores were used to estimate group trajectories via growth-based trajectory modeling at ages 10, 12, 14, and 16 using the SAS PROC TRAJ procedure. Model fit was assessed using the Bayes information criterion and the Akaike information criterion statistics. Analyses revealed optimal fit for five distinct behavioral trajectories: low stable, mid-increasing, mid-decreasing, medium high, and high stable. Multinomial logistic regressions revealed that a combination of risk and protective factors at individual, family, school, and neighborhood levels contribute to distinct trajectories of externalizing problems over time. Predictors of low and decreasing trajectories can inform interventions aimed at addressing externalizing problems among high-risk adolescents.
现有研究一致表明,青少年的外化问题与后期适应不良结果有关,这些行为尤其具有危害性,因为它们在整个发展过程中相对稳定。尽管已经确定了一系列外化问题的风险和保护因素,但很少有研究探讨反映影响儿童发展的多个社会生态层次的因素,并利用这些因素来预测外化问题的纵向轨迹。本研究使用经过标准化的儿童行为检查表外化分数,通过生长轨迹建模,在年龄为 10、12、14 和 16 岁时,利用 SAS PROC TRAJ 程序,对虐待儿童多地点纵向研究中的 1094 名高危青年(539 名男孩,555 名女孩)样本中的外化行为轨迹进行了评估。模型拟合度通过贝叶斯信息准则和赤池信息量准则统计数据进行评估。分析结果显示,五种不同的行为轨迹具有最佳拟合度:低稳定、中递增、中递减、中高和高稳定。多项逻辑回归显示,个体、家庭、学校和社区层面的风险和保护因素的组合,有助于随时间推移形成不同的外化问题轨迹。低轨迹和下降轨迹的预测因素可以为针对高风险青少年的外化问题干预措施提供信息。