School attendance problems and youth psychopathology: structural cross-lagged regression models in three longitudinal data sets.
School attendance problems and youth psychopathology: structural cross-lagged regression models in three longitudinal data sets.
复制标题
学校出勤问题和青少年精神病理学：三个纵向数据集中的结构交叉滞后回归模型。
DOI：
10.1111/j.1467-8624.2011.01677.x
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发表时间：
2012
影响因子：
4.6
通讯作者：
Ialongo,Nick
中科院分区：
文献类型：
--
作者：
Wood,JeffreyJ;Lynne-Landsman,SarahD;Langer,DavidA;Wood,PatriciaA;Clark,ShaunnaL;Eddy,JMark;Ialongo,Nick
本研究使用3个纵向数据集（Ns = 20，745，2，311和671）测试缺勤和青年精神病理学之间的相互影响模型。 1至12年级的参与者每年或每两年接受一次采访。精神病理学的测量包括自我，父母和教师报告问卷。测试了结构交叉滞后回归模型。在一个全国代表性的数据集（添加健康），中学生在学习第一年相对较大的缺勤倾向于增加抑郁症和行为问题，在学习第二年，超过自回归协会和人口统计协变量的影响。初中生和高中生的影响方向相反。对2个区域代表性数据集的分析也具有部分支持性。纵向联系在青少年时期比在儿童时期更明显。
This study tests a model of reciprocal influences between absenteeism and youth psychopathology using 3 longitudinal datasets (Ns = 20,745, 2,311, and 671). Participants in 1st through 12th grades were interviewed annually or biannually. Measures of psychopathology include self‐, parent‐, and teacher‐report questionnaires. Structural cross‐lagged regression models were tested. In a nationally representative data set (Add Health), middle school students with relatively greater absenteeism at Study Year 1 tended toward increased depression and conduct problems in Study Year 2, over and above the effects of autoregressive associations and demographic covariates. The opposite direction of effects was found for both middle and high school students. Analyses with 2 regionally representative data sets were also partially supportive. Longitudinal links were more evident in adolescence than in childhood.