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Describing and predicting developmental profiles of externalizing problems from childhood to adulthood

机译:描述和预测从童年到成年的外部化问题的发展概况

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This longitudinal study considers externalizing behavior problems from ages 5 to 27 (N = 585). Externalizing problem ratings by mothers, fathers, teachers, peers, and self-report were modeled with growth curves. Risk and protective factors across many different domains and time frames were included as predictors of the trajectories. A major contribution of the study is in demonstrating how heterotypic continuity and changing measures can be handled in modeling changes in externalizing behavior over long developmental periods. On average, externalizing problems decreased from early childhood to preadolescence, increased during adolescence, and decreased from late adolescence to adulthood. There was strong nonlinear continuity in externalizing problems over time. Family process, peer process, stress, and individual characteristics predicted externalizing problems beyond the strong continuity of externalizing problems. The model accounted for 70% of the variability in the development of externalizing problems. The model's predicted values showed moderate sensitivity and specificity in prediction of arrests, illegal drug use, and drunk driving. Overall, the study showed that by using changing, developmentally relevant measures and simultaneously taking into account numerous characteristics of children and their living situations, research can model lengthy spans of development and improve predictions of the development of later, severe externalizing problems.
机译:这项纵向研究考虑了5到27岁(N = 585)的外在行为问题。母亲,父亲,老师,同伴和自我报告的问题评级外部化是通过增长曲线建模的。跨许多不同领域和时间框架的风险和保护因素被作为轨迹的预测因素。这项研究的主要贡献在于证明了如何在长期发展时期对外部化行为的变化进行建模时,如何处理异型连续性和变化措施。平均而言,外在问题从儿童早期到青春期减少,在青春期增加,从青春期晚期到成年减少。随着时间的推移,外部化问题具有很强的非线性连续性。家庭过程,同伴过程,压力和个人特征预示着外部化问题超出了外部化问题的强连续性。该模型占了外部化问题发展过程中70%的可变性。该模型的预测值在预测逮捕,非法吸毒和酒后驾车方面显示出中等的敏感性和特异性。总体而言,研究表明,通过使用变化的,与发展相关的措施,同时考虑到儿童的许多特征及其生活状况,研究可以为漫长的发展过程建模,并改善对以后严重外部化问题的发展预测。

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