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The bidirectional pathways between internalizing and externalizing problems and academic performance from 6 to 18 years

Published online by Cambridge University Press:  18 July 2016

Jan Van der Ende ,
Frank C. Verhulst  and
Henning Tiemeier
Jan Van der Ende*
Affiliation:
Erasmus University Medical Center
Frank C. Verhulst
Affiliation:
Erasmus University Medical Center
Henning Tiemeier
Affiliation:
Erasmus University Medical Center
*
Address correspondence and reprint requests to: Jan van der Ende, Department of Child and Adolescent Psychiatry/Psychology, Room KP-2867, Erasmus University Medical Center, P.O. Box 2060, Rotterdam 3000 CB, The Netherlands; E-mail: an.vanderende@erasmusmc.nl
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Abstract

Internalizing and externalizing problems are associated with poor academic performance, both concurrently and longitudinally. Important questions are whether problems precede academic performance or vice versa, whether both internalizing and externalizing are associated with academic problems when simultaneously tested, and whether associations and their direction depend on the informant providing information. These questions were addressed in a sample of 816 children who were assessed four times. The children were 6–10 years at baseline and 14–18 years at the last assessment. Parent-reported internalizing and externalizing problems and teacher-reported academic performance were tested in cross-lagged models to examine bidirectional paths between these constructs. These models were compared with cross-lagged models testing paths between teacher-reported internalizing and externalizing problems and parent-reported academic performance. Both final models revealed similar pathways from mostly externalizing problems to academic performance. No paths emerged from internalizing problems to academic performance. Moreover, paths from academic performance to internalizing and externalizing problems were only found when teachers reported on children's problems and not for parent-reported problems. Additional model tests revealed that paths were observed in both childhood and adolescence. Externalizing problems place children at increased risk of poor academic performance and should therefore be the target for interventions.

Type
Special Issue Articles
Information
Development and Psychopathology , Volume 28 , Special Issue 3: Longitudinal Transactional Models of Development and Psychopathology , August 2016 , pp. 855 - 867
Copyright
Copyright © Cambridge University Press 2016 

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References

Achenbach, T. M. (2009). The Achenbach System of Empirically Based Assessment (ASEBA): Development, findings, theory, and applications. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
Achenbach, T. M., McConaughy, S. H., & Howell, C. T. (1987). Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 101, 213–232.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
Angold, A., Costello, E. J., & Erkanli, A. (1999). Comorbidity. Journal of Child Psychology and Psychiatry, 40, 57–87.CrossRefGoogle ScholarPubMed
Barnes, T. N., Smith, S. W., & Miller, M. D. (2014). School-based cognitive-behavioral interventions in the treatment of aggression in the United States: A meta-analysis. Aggression and Violent Behavior, 19, 311–321.CrossRefGoogle Scholar
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.CrossRefGoogle Scholar
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230–258.Google Scholar
Burt, K. B., & Roisman, G. I. (2010). Competence and psychopathology: Cascade effects in the NICHD Study of Early Child Care and Youth Development. Development and Psychopathology, 22, 557–567.CrossRefGoogle ScholarPubMed
Campbell, F. A., Ramey, C. T., Pungello, E., Sparling, J., & Miller-Johnson, S. (2002). Early childhood education: Young adult outcomes from the Abecedarian Project. Applied Developmental Science, 6, 42–57.Google Scholar
Chen, X., Huang, X., Chang, L., Wang, L., & Li, D. (2010). Aggression, social competence, and academic achievement in Chinese children: A 5-year longitudinal study. Development and Psychopathology, 22, 583–592.Google Scholar
Chi-square. (n.d.). Chi-square difference testing using the Satorra–Bentler scaled chi-square. Retrieved July 17, 2015, from http://statmodel.com/chidiff.shtml Google Scholar
Costello, E. J., Egger, H., & Angold, A. (2005). 10-Year research update review: The epidemiology of child and adolescent psychiatric disorders: I. Methods and public health burden. Journal of the American Academy of Child & Adolescent Psychiatry, 44, 972–986.Google Scholar
Costello, E. J., & Maughan, B. (2015). Annual research review: Optimal outcomes of child and adolescent mental illness. Journal of Child Psychology and Psychiatry, 56, 324–341.CrossRefGoogle ScholarPubMed
Defoe, I. N., Farrington, D. P., & Loeber, R. (2013). Disentangling the relationship between delinquency and hyperactivity, low achievement, depression, and low socioeconomic status: Analysis of repeated longitudinal data. Journal of Criminal Justice, 41, 100–107.CrossRefGoogle Scholar
Englund, M. M., & Siebenbruner, J. (2012). Developmental pathways linking externalizing symptoms, internalizing symptoms, and academic competence to adolescent substance use. Journal of Adolescence, 35, 1123–1140.CrossRefGoogle ScholarPubMed
Esch, P., Bocquet, V., Pull, C., Couffignal, S., Lehnert, T., Graas, M., et al. (2014). The downward spiral of mental disorders and educational attainment: A systematic review on early school leaving. BMC Psychiatry, 14, 237.CrossRefGoogle ScholarPubMed
Jakobsen, I. S., Fergusson, D., & Horwood, J. L. (2012). Early conduct problems, school achievement and later crime: Findings from a 30-year longitudinal study. New Zealand Journal of Educational Studies, 47, 123–135.Google Scholar
Jones, P. B. (2013). Adult mental health disorders and their age at onset. British Journal of Psychiatry, 202, s5–s10.CrossRefGoogle Scholar
Kerr, M., Tremblay, R. E., Pagani, L., & Vitaro, F. (1997). Boys’ behavioral inhibition and the risk of later delinquency. Archives of General Psychiatry, 54, 809–816.CrossRefGoogle ScholarPubMed
Krueger, R. F., & Markon, K. E. (2006). Reinterpreting comorbidity: A model-based approach to understanding and classifying psychopathology. Annual Review of Clinical Psychology, 2, 111–133.CrossRefGoogle ScholarPubMed
Leach, L. S., & Butterworth, P. (2012). The effect of early onset common mental disorders on educational attainment in Australia. Psychiatry Research, 199, 51–57.Google Scholar
Lee, J. (2013). A cross-lagged longitudinal study of relations between academic achievement and Korean adolescent delinquency. Health Education Journal, 72, 555–563.Google Scholar
Loveland, J. M., Lounsbury, J. W., Welsh, D., & Buboltz, W. C. (2007). The validity of physical aggression in predicting adolescent academic performance. British Journal of Educational Psychology, 77, 167–176.Google Scholar
Masten, A. S., Desjardins, C. D., McCormick, C. M., Kuo, S. I. C., & Long, J. D. (2010). The significance of childhood competence and problems for adult success in work: A developmental cascade analysis. Development and Psychopathology, 22, 679–694.Google Scholar
Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradovic, J., Riley, J. R., et al. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733–746.Google Scholar
McLeod, J. D., & Fettes, D. L. (2007). Trajectories of failure: The educational careers of children with mental health problems. American Journal of Sociology, 113, 653–701.Google Scholar
McLeod, J. D., & Kaiser, K. (2004). Childhood emotional and behavioral problems and educational attainment. American Sociological Review, 69, 636–658.Google Scholar
Metsäpelto, R.-L., Pakarinen, E., Kiuru, N., Poikkeus, A.-M., Lerkkanen, M.-K., & Nurmi, J.-E. (2015). Developmental dynamics between children's externalizing problems, task-avoidant behavior, and academic performance in early school years: A 4-year follow-up. Journal of Educational Psychology, 107, 246–257.CrossRefGoogle Scholar
Moilanen, K. L., Shaw, D. S., & Maxwell, K. L. (2010). Developmental cascades: Externalizing, internalizing, and academic competence from middle childhood to early adolescence. Development and Psychopathology, 22, 635–653.CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user's guide (7th ed.). Los Angeles: Author.Google Scholar
Needham, B. L. (2009). Adolescent depressive symptomatology and young adult educational attainment: An examination of gender differences. Journal of Adolescent Health, 45, 179–186.Google Scholar
Obradović, J., Burt, K. B., & Masten, A. S. (2010). Testing a dual cascade model linking competence and symptoms over 20 years from childhood to adulthood. Journal of Clinical Child & Adolescent Psychology, 39, 90–102.CrossRefGoogle ScholarPubMed
Offord, D. R., Boyle, M. H., Szatmari, P., Rae-Grant, N. I., Links, P. S., Cadman, D. T., et al. (1987). Ontario Child Health Study: II. Six-month prevalence of disorder and rates of service utilization. Archives of General Psychiatry, 44, 832–836.CrossRefGoogle ScholarPubMed
Patalay, P., Deighton, J., Fonagy, P., & Wolpert, M. (2015). The relationship between internalising symptom development and academic attainment in early adolescence. PLOS ONE, 10, e0116821.Google Scholar
Polanczyk, G. V., Salum, G. A., Sugaya, L. S., Caye, A., & Rohde, L. A. (2015). Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. Journal of Child Psychology and Psychiatry, 56, 345–365.CrossRefGoogle ScholarPubMed
Reynolds, A. J., Temple, J. A., Ou, S., Robertson, D. L., Kersky, J. P., Topitzes, J. W., & et al. (2007). Effects of a school-based, early childhood intervention on adult health and well-being: A 19-year follow-up of low-income families. Archives of Pediatrics & Adolescent Medicine, 161, 730–739.CrossRefGoogle ScholarPubMed
Riglin, L., Frederickson, N., Shelton, K. H., & Rice, F. (2013). A longitudinal study of psychological functioning and academic attainment at the transition to secondary school. Journal of Adolescence, 36, 507–517.CrossRefGoogle ScholarPubMed
Riglin, L., Petrides, K. V., Frederickson, N., & Rice, F. (2014). The relationship between emotional problems and subsequent school attainment: A meta-analysis. Journal of Adolescence, 37, 335–346.CrossRefGoogle ScholarPubMed
Ringoot, A. P., Tiemeier, H., Jaddoe, V. W. V., So, P., Hofman, A., Verhulst, F. C., et al. (2015). Parental depression and child well-being: Young children's self-reports helped addressing biases in parent reports. Journal of Clinical Epidemiology, 68, 928–938.Google Scholar
Selig, J. P., & Little, T. D. (2012). Autoregressive and cross-lagged panel analysis for longitudinal data. In Laursen, B., Little, T. D., & Card, N. A. (Eds.), Handbook of development research methods (pp. 265–278). New York: Guilford Press.Google Scholar
Vaillancourt, T., Brittain, H., McDougall, P., & Duku, E. (2013). Longitudinal links between childhood peer victimization, internalizing and externalizing problems, and academic functioning: Developmental cascades. Journal of Abnormal Child Psychology, 41, 1203–1215.Google Scholar
van Lier, P. A. C., Vitaro, F., Barker, E. D., Brendgen, M., Tremblay, R. E., & Boivin, M. (2012). Peer victimization, poor academic achievement, and the link between childhood externalizing and internalizing problems. Child Development, 83, 1775–1788.Google Scholar
Veldman, K., Bültmann, U., Stewart, R. E., Ormel, J., Verhulst, F. C., & Reijneveld, S. A. (2014). Mental health problems and educational attainment in adolescence: 9-Year follow-up of the TRAILS study. PLOS ONE, 9, e101751.CrossRefGoogle ScholarPubMed
Verboom, C. E., Sijtsema, J. J., Verhulst, F. C., Penninx, B. W., & Ormel, J. (2014). Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Developmental Psychology, 50, 247–257.Google Scholar
Verhulst, F. C., Akkerhuis, G. W., & Althaus, M. (1985). Mental health in Dutch children: I. A cross-cultural comparison. Acta Psychiatrica Scandinavica, 323(Suppl.), 1–108.Google Scholar
Verhulst, F. C., Van der Ende, J., & Koot, H. M. (1996). Handleiding voor de CBCL/4–18. Rotterdam: Erasmus Universiteit/AZR-Sophia, Afdeling kinder-en jeugdpsychiatrie.Google Scholar
Westerlaak, J. M., Kropman, J. A., & Collaris, J. W. M. (1975). Beroepenklapper. Nijmegen: Instituut voor Toegepaste Sociologie.Google Scholar
Wilson, S. J., & Lipsey, M. W. (2007). School-based interventions for aggressive and disruptive behavior: Update of a meta-analysis. American Journal of Preventive Medicine, 33(2, Suppl.), S130–S143.Google Scholar
Zahn-Waxler, C. (1993). Warriors and worriers: Gender and psychopathology. Development and Psychopathology, 5, 79–89.Google Scholar
Zimmermann, F., Schutte, K., Taskinen, P., & Koller, O. (2013). Reciprocal effects between adolescent externalizing problems and measures of achievement. Journal of Educational Psychology, 105, 747–761.Google Scholar