School attendance problems and youth psychopathology: Structural cross-lagged regression models in three longitudinal data sets

Citation

Wood, Jeffrey J.; Lynne-Landsman, Sarah D.; Langer, David A.; Wood, Patricia A.; Clark, Shaunna L.; Eddy, J. Mark; & Ialongo, Nick (2012). School attendance problems and youth psychopathology: Structural cross-lagged regression models in three longitudinal data sets. Child Development. vol. 83 (1) pp. 351-366 , PMCID: PMC3266956

Abstract

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.

URL

http://dx.doi.org/10.1111/j.1467-8624.2011.01677.x

Keyword(s)

School

Reference Type

Journal Article

Journal Title

Child Development

Author(s)

Wood, Jeffrey J.
Lynne-Landsman, Sarah D.
Langer, David A.
Wood, Patricia A.
Clark, Shaunna L.
Eddy, J. Mark
Ialongo, Nick

Year Published

2012

Volume Number

83

Issue Number

1

Pages

351-366

DOI

10.1111/j.1467-8624.2011.01677.x

PMCID

PMC3266956

NIHMSID

NIHMS327101

Reference ID

1611