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低收入城市队列中新兴成年人抑郁症状的预测因素

Predictors of Depressive Symptoms in Emerging Adulthood in a Low-Income Urban Cohort.

作者信息

Mondi Christina F, Reynolds Arthur J, Ou Suh-Ruu

机构信息

Institute of Child Development, University of Minnesota - Twin Cities.

出版信息

J Appl Dev Psychol. 2017 May;50:45-59. doi: 10.1016/j.appdev.2017.03.009. Epub 2017 Apr 7.

Abstract

This study examined predictors of depressive symptoms in emerging adulthood in a sample of 1,142 individuals (94% African American) who grew up in urban poverty. Data were drawn from a longitudinal study that followed participants from age five and included participant, parent, and teacher surveys, and administrative records. Depressive symptoms were self-reported at age 22-24 using a modified version of the Brief Symptom Inventory (BSI; Derogatis, 1975). Binary logistic regression analyses identified several significant predictors of depressive symptoms in emerging adulthood, including: sex, adverse childhood experiences (ACE) score, socio-emotional adjustment in the classroom, juvenile arrest, and on-time graduation. Significant sex differences were also detected, with the final models fitting the male sample better than the full study or female samples. Implications for future research and intervention are discussed.

摘要

本研究在1142名于城市贫困环境中长大的个体(94%为非裔美国人)样本中,考察了成年初期抑郁症状的预测因素。数据取自一项纵向研究,该研究从参与者五岁起跟踪调查,包括参与者、父母和教师的调查问卷以及行政记录。使用简明症状量表(BSI;Derogatis,1975)的修改版,让参与者在22 - 24岁时自我报告抑郁症状。二元逻辑回归分析确定了成年初期抑郁症状的几个重要预测因素,包括:性别、童年不良经历(ACE)得分、课堂上的社会情感适应情况、少年被捕情况以及按时毕业情况。研究还发现了显著的性别差异,最终模型对男性样本的拟合效果优于整个研究样本或女性样本。文中讨论了对未来研究和干预的启示。

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