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Predicting Children's Depressive Symptoms from Community and Individual Risk Factors

机译:从社区和个人危险因素预测儿童的抑郁症状

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Community, demographic, familial, and personal risk factors of childhood depressive symptoms were examined from an ecological theoretical approach using hierarchical linear modeling. Individual-level data were collected from an ethnically diverse (73% African-American) community sample of 197 children and their parents; community-level data were obtained from the U.S. Census regarding rates of community poverty and unemployment in participants' neighborhoods. Results indicated that high rates of community poverty and unemployment, children's depressive attributional style, and low levels of self-perceived competence predict children's depressive symptoms, even after accounting for demographic and familial risk factors, such as parental education and negative parenting behaviors. The effect of negative parenting behaviors on depressive symptoms was partially mediated by personal variables like children's self-perceived competence. Recommendations for future research,., intervention and prevention programs are discussed.
机译:童年儿童抑郁症状的社区,人口,家庭和个人危险因素是使用分层线性模型从生态学理论方法研究的。个人水平数据是从197个儿童及其父母的种族不同(73%的非洲裔美国人)社区样本中收集的;社区级别的数据是从美国人口普查获得的,有关参与者所在社区的社区贫困率和失业率。结果表明,即使考虑了人口统计学和家庭风险因素,例如父母的教育和消极的父母行为,较高的社区贫困和失业率,儿童的抑郁归因风格以及较低的自我感知能力也可以预测儿童的抑郁症状。父母的消极行为对抑郁症状的影响部分地由个人变量如儿童的自我感知能力介导。讨论了有关未来研究,干预和预防计划的建议。

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