Hostname: page-component-848d4c4894-x24gv Total loading time: 0 Render date: 2024-05-06T23:51:32.732Z Has data issue: false hasContentIssue false

Mental health difficulties and academic attainment: Evidence for gender-specific developmental cascades in middle childhood

Published online by Cambridge University Press:  17 July 2017

Margarita Panayiotou*
Affiliation:
University of Manchester
Neil Humphrey
Affiliation:
University of Manchester
*
Address correspondence and reprint requests to: Margarita Panayiotou, Manchester Institute of Education, University of Manchester, Manchester M13 9PL, UK; E-mail: margarita.panayiotou@manchester.ac.uk.

Abstract

We present a developmental cascade model of the longitudinal relationships between internalizing symptoms, externalizing problems, and academic performance in middle childhood, utilizing a large sample (N = 1,771) from the United Kingdom in a 3-year, cross-lag design. Three hypotheses were tested: adjustment erosion, academic incompetence, and (cumulative) shared risk. In addition, we sought to examine whether developmental cascade pathways varied across gender, while also statistically exploring indirect, mediation pathways. Structural equation models that accounted for within-time covariance, data nesting, and temporal stability provided evidence of gender-specific effects as follows: externalizing-attainment adjustment erosion pathways were found only in boys, while attainment-internalizing/externalizing academic incompetence pathways were found only in girls. Analysis of mediation pathways provided further support for these gender-specific longitudinal profiles. Protective longitudinal internalizing-externalizing and externalizing-internalizing pathways were found for both boys and girls. Finally, while it improved model fit for both genders, the influence of cumulative shared risk on the aforementioned pathways was relatively meager, substantively affecting only one (externalizing-attainment adjustment erosion pathway in boys). The implications of these findings are discussed, and study limitations noted.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research was supported by grants from the National Institute for Health Research.

References

Ansary, N. S., & Luthar, S. S. (2009). Distress and academic achievement among adolescents of affluence: A study of externalizing and internalizing problem behaviors and school performance. Development and Psychopathology, 21, 319341. doi:10.1017/S0954579409000182Google Scholar
Appleyard, K., Egeland, B., van Dulmen, M. H., & Sroufe, L. A. (2005). When more is not better: The role of cumulative risk in child behavior outcomes. Journal of Child Psychology and Psychiatry, 46, 235245. doi:10.1111/j.1469-7610.2004.00351.xGoogle Scholar
Baumeister, R. F., Smart, L., & Boden, J. M. (1996). Relation of threatened egotism to violence and aggression: The dark side of high self-esteem. Psychological Review, 103, 533. doi:10.1037/0033-295X.103.1.5Google Scholar
Berry, D., & Willoughby, M. T. (2016). On the practical interpretability of cross-lagged panel models: Rethinking a developmental workhorse. Child Development. Advance online publication. doi:10.1111/cdev.12660Google Scholar
Bond, L., Butler, H., Thomas, L., Carlin, J., Glover, S., Bowes, G., & Patton, G. (2007). Social and school connectedness in early secondary school as predictors of late teenage substance use, mental health, and academic outcomes. Journal of Adolescent Health, 40, 357. doi:10.1016/j.jadohealth.2006.10.013Google Scholar
Bor, W., Dean, A. J., Najman, J., & Hayatbakhsh, R. (2014). Are child and adolescent mental health problems increasing in the 21st century? A systematic review. Australian and New Zealand Journal of Psychiatry, 48, 606616. doi:10.1177/0004867414533834Google Scholar
Bornstein, M. H., Hahn, C. S., & Haynes, O. M. (2010). Social competence, externalizing, and internalizing behavioral adjustment from early childhood through early adolescence: Developmental cascades. Development and Psychopathology, 22, 717735. doi:10.1017/S0954579410000416Google Scholar
Bornstein, M. H., Hahn, C. S., & Suwalsky, J. T. (2013). Developmental pathways among adaptive functioning and externalizing and internalizing behavioral problems: Cascades from childhood into adolescence. Applied Developmental Science, 17, 7687. doi:10.1080/10888691.2013.774875Google Scholar
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York: Guilford Press.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, 557567. doi:10.1017/S0954579410000271Google Scholar
Byrne, B. M. (1998). Structural equation modeling with lisrel, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum.Google Scholar
Byrne, B. M., Shavelson, R. J., & Muthén, B. O. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456466. doi:10.1037/0033-2909.105.3.456Google Scholar
Capaldi, D. M. (1992). Co-occurrence of conduct problems and depressive symptoms in early adolescent boys: II. A 2-year follow-up at Grade 8. Development and Psychopathology, 4, 125144. doi:10.1017/s0954579400005605Google Scholar
Centre for Evaluation and Monitoring. (2013). InCAS technical report. Durham: Author.Google Scholar
Chaplin, T. M., Cole, P. M., & Zahn-Waxler, C. (2005). Parental socialization of emotion expression: Gender differences and relations to child adjustment. Emotion, 5, 8088. doi:10.1037/1528-3542.5.1.80Google Scholar
Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558577. doi:10.1037/0021-843X.112.4.558Google Scholar
Deighton, J., Humphrey, N., Patalay, P., Belsky, J., Wolpert, M., & Vostanis, P. (in press). Longitudinal pathways between mental health difficulties and academic performance during middle childhood and early adolescence. British Journal of Developmental Psychology.Google Scholar
De Los Reyes, A., Augenstein, T. M., Wang, M., Thomas, S. A., Drabick, D. A., Burgers, D. E., & Rabinowitz, J. (2015). The validity of the multi-informant approach to assessing child and adolescent mental health. Psychological Science, 141, 858900. doi:10.1037/a0038498Google Scholar
Department for Communities and Local Government. (2015). The English Indices of Deprivation. Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/465791/English_Indices_of_Deprivation_2015_-_Statistical_Release.pdfGoogle Scholar
Department for Education. (2011). Interim results for key stage 2 and 3 national curriculum assessments in England, 2010/11 (SFR 18/2011). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/219052/sfr18-2011v2.pdfGoogle Scholar
Department for Education. (2012a). National curriculum assessments at key stage 2 in England, 2011/2012 (rev.; SFR33/2012). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/219151/sfr33-2012v2.pdfGoogle Scholar
Department for Education. (2012b). Schools, pupils, and their characteristics, January 2012 (SFR10/2012). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/219260/sfr10-2012.pdfGoogle Scholar
Department for Education. (2013). Special educational needs in England, January 2013 (SFR 30/2013). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/225699/SFR30-2013_Text.pdf.Google Scholar
Department for Education. (2014). National curriculum assessments at key stage 2 in England, 2014 (rev.; SFR 50/2014). Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/428838/SFR50_2014_Text.pdfGoogle Scholar
Ehrlich, K. B., Miller, G. E., & Chen, E. (2016). Childhood adversity and adult physical health. In Cicchetti, D. (Ed.), Developmental psychopathology: Risk, resilience, and intervention (3rd ed., Vol. 4, pp. 142). Hoboken, NJ: Wiley.Google 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, 11231140. doi:10.1016/j.adolescence.2012.03.004Google Scholar
Evans, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulleting, 139, 13421396. doi:10.1037/a0031808Google Scholar
Fink, E., Patalay, P., Sharpe, H., Holley, S., Deighton, J., & Wolpert, M. (2015). Mental health difficulties in early adolescence: A comparison of two cross-sectional studies in England from 2009 to 2014. Journal of Adolescent Health, 56, 502507. doi:10.1016/j.jadohealth.2015.01.023Google Scholar
Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581586. doi:10.1111/j.1469-7610.1997.tb01545.xGoogle Scholar
Green, H., McGinnity, A., Meltzer, H., Ford, T., & Goodman, R. (2005). Mental health of children and young people in Great Britain. Newport: Office for National Statistics.Google Scholar
Grover, R. L., Ginsburg, G. S., & Ialongo, N. (2007). Psychosocial outcomes of anxious first graders: A seven-year follow-up. Depression and Anxiety, 24, 410420. doi:10.1002/da.20241Google Scholar
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20, 102116. doi:10.1037/a0038889Google Scholar
Harter, S. (1999). The construction of self: A developmental perspective. New York: Guilford Press.Google Scholar
Hoffman, L. W. (1972). Early childhood experiences and women's achievement motives. Journal of Social Issues, 28, 129155. doi:10.1111/j.1540-4560.1972.tb00022.xGoogle Scholar
House of Commons Education and Health Committees. (2017). Children and young people's mental health—The role of education. London: House of Commons.Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 155. doi:10.1080/10705519909540118Google Scholar
Humphrey, N., Barlow, A., Wigelsworth, M., Lendrum, A., Pert, K., Joyce, C., … Turner, A. (2016). A cluster randomized controlled trial of the promoting alternative thinking strategies (PATHS) curriculum. Journal of School Psychology, 58, 7389. doi:10.1016/j.jsp.2016.07.002Google Scholar
Huston, A. C., & Ripke, M. N. (2006). Middle childhood: Contexts of development. In Huston, A. C. & Ripke, M. N. (Eds.), Developmental contexts in middle childhood (pp. 122). Cambridge: Cambridge University Press.10.1017/CBO9780511499760Google Scholar
Hutchings, M. (2015). Exam factories? The impact of accountability measures on children and young people. London: National Union of Teachers.Google Scholar
Kaplan, H. B. (1975). Sequelae of self-derogation predicting from a general theory of deviant behavior. Youth & Society, 7, 171197.10.1177/0044118X7500700204Google Scholar
Keenan, K., & Shaw, D. (1997). Developmental and social influences on young girls’ early problem behavior. Psychological Bulletin, 121, 95113.10.1037/0033-2909.121.1.95Google Scholar
Keith, T. Z. (2015). Multiple regression and beyond: An introduction to multiple regression and structural equation modeling (2nd ed.). New York: Taylor & Francis.Google Scholar
Kiesner, J. (2002). Depressive symptoms in early adolescence: Their relations with classroom problem behavior and peer status. Journal of Research on Adolescence, 12, 463478. doi:10.1111/1532-7795.00042Google Scholar
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford Press.Google Scholar
Lahey, B. B., Loeber, R., Burke, J., Rathouz, P. J., & McBurnett, K. (2002). Waxing and waning in concert: Dynamic comorbidity of conduct disorder with other disruptive and emotional problems over 17 years among clinic-referred boys. Journal of Abnormal Psychology, 111, 556567. doi:10.1037/0021-843X.111.4.556Google Scholar
Leaper, C., & Friedman, C. K. (2007). The socialization of gender. In Grusec, J. E. & Hastings, P. D. (Eds.), Handbook of socialization: Theory and research (pp. 561587). New York: Guilford Press.Google Scholar
Lessof, C., Ross, A., Brind, R., Bell, E., & Newton, S. (2016). Longitudinal Study of Young People in England Cohort 2: Health and wellbeing at wave 2 research report. London: Department for Education.Google Scholar
Little, T. D., Preacher, K. J., Selig, J. P., & Card, N. A. (2007). New developments in latent variable panel analyses of longitudinal data. International Journal of Behavioral Development, 31, 357365. doi:10.1177/0165025407077757Google Scholar
Masten, A. S., Burt, K. B., & Coatsworth, D. J. (2015). Competence and psychopathology in development. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychology (2nd ed., pp. 696738). Hoboken, NJ: Wiley.Google Scholar
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491495. doi:10.1017/S0954579410000222Google Scholar
Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradovic, J., Riley, J. R., … Tellegen, A. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733746. doi:10.1037/0012-1649.41.5.733Google Scholar
McCarty, C. A. (2008). Adolescent school failure predicts depression among girls. Journal of Adolescent Health, 43, 180187. doi:10.1016/j.jadohealth.2008.01.023Google Scholar
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53, 185204. doi:10.1037/0003-066X.53.2.185Google Scholar
Merrell, C., & Tymms, P. (2007). Identifying reading problems with computer-adaptive assessments. Journal of Computer Assisted Learning, 23, 2735. doi:10.1111/j.1365-2729.2007.00196.xGoogle Scholar
Mesman, J., Bongers, I. L., & Koot, H. M. (2001). Preschool developmental pathways to preadolescent internalizing and externalizing problems. Journal of Child Psychology and Psychiatry, 42, 679689. doi:10.1111/1469-7610.00763Google 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, 635653. doi:10.1017/S0954579410000337Google Scholar
Morgan, P. L., Farkas, G., Tufis, P. A., & Sperling, R. A. (2008). Are reading and behavior problems risk factors for each other? Journal of Learning Disabilities, 41, 417436. doi:10.1177/0022219408321123Google Scholar
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user's guide (7th ed.). Los Angeles: Author.Google Scholar
Newsom, J. T. (2015). Longitudinal structural equation modeling: A comprehensive introduction. New York: Routledge.10.4324/9781315871318Google Scholar
Obradovic, 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 and Adolescent Psychology, 39, 90102. doi:10.1080/15374410903401120Google Scholar
Patterson, G. R., & Capaldi, D. M. (1990). A mediational model for boys’ depressed mood. In Rolf, J., Masten, A. S., Cicchetti, D., Nuechterlein, K. H., & Weintraub, S. (Eds.), Risk and protective factors in the development of psychopathology (pp. 141163). New York: Cambridge University Press.10.1017/CBO9780511752872.010Google Scholar
Pomerantz, E. M., Altermatt, E. R., & Saxon, J. L. (2002). Making the grade but feeling distressed: Gender differences in academic performance and internal distress. Journal of Educational Psychology, 94, 396404. doi:10.1037/0022-0663.94.2.396Google Scholar
Priess, H. A., & Lindberg, S. M. (2011). Gender intensification. In Levesque, R. J. R. (Ed.), Encyclopedia of adolescence. New York: Springer.Google Scholar
Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., … The European KIDSCREEN Group. (2007). The KIDSCREEN-27 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Quality of Life Research, 16, 13471356. doi:10.1007/s11136-007-9240-2Google Scholar
Raviv, T., Taussig, H. N., Culhane, S. E., & Garrido, E. F. (2010). Cumulative risk exposure and mental health symptoms among maltreated youth placed in out-of-home care. Child Abuse and Neglect, 34, 742751. doi:10.1016/j.chiabu.2010.02.011Google Scholar
Robitail, S., Ravens-Sieberer, U., Simeoni, M. C., Rajmil, L., Bruil, J., Power, M., … The KIDSCREEN Group. (2007). Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire. Quality of Life Research, 16, 13351345. doi:10.1007/s11136-007-9241-1Google Scholar
Roeser, R. W., van der Wolf, K., & Strobel, K. R. (2001). On the relation between social–emotional and school functioning during early adolescence preliminary findings from dutch and american samples. Journal of School Psychology, 39, 111139. doi:10.1016/S0022-4405(01)00060-7Google Scholar
Rogosch, F. A., Oshri, A., & Cicchetti, D. (2010). From child maltreatment to adolescent cannabis abuse and dependence: A developmental cascade model. Development and Psychopathology, 22, 883897. doi:10.1017/S0954579410000520Google Scholar
Rosenfield, S., & Mouzon, D. (2013). Gender and mental health. In Aneshensel, C. S., Phelan, J. C., & Bierman, A. (Eds.), Handbook of the sociology of mental health (pp. 277296). New York: Springer.Google Scholar
Salla, J., Michel, G., Pingault, J. B., Lacourse, E., Paquin, S., Galera, C., … Cote, S. M. (2016). Childhood trajectories of inattention-hyperactivity and academic achievement at 12 years. European Child & Adolescent Psychiatry, 25, 11951206. doi:10.1007/s00787-016-0843-4Google Scholar
Sameroff, A. (2006). Identifying risk and protective factors for healthy child development. In Clarke-Stewart, A. & Dunn, J. (Eds.), Families count: Effects on child and adolescent development (pp. 5376). Cambridge: Cambridge University Press.Google Scholar
Schwartz, D., Gorman, A. H., Nakamoto, J., & McKay, T. (2006). Popularity, social acceptance, and aggression in adolescent peer groups: Links with academic performance and school attendance. Developmental Psychology, 42, 11161127. doi:10.1037/0012-1649.42.6.1116Google Scholar
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.Google Scholar
Steenkamp, J.-B. E. M., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25, 7890. doi:10.1086/209528Google Scholar
Stewart, E. B. (2008). School structural characteristics, student effort, peer associations, and parental involvement: The influence of school- and individual-level factors on academic achievement. Education and Urban Society, 49, 179204. doi:10.1177/0013124507304167Google Scholar
Stipek, D., & Miles, S. (2008). Effects of aggression on achievement: Does conflict with the teacher make it worse? Child Development, 79, 17211735. doi:10.1111/j.1467-8624.2008.01221.xGoogle Scholar
Stone, L. L., Otten, R., Engels, R. C. M. E., Vermulst, A. A., & Janssens, J. M. A. M. (2010). Psychometric properties of the parent and teacher versions of the Strengths and Difficulties Questionnaire for 4- to 12-year-olds: A review. Clinical Child and Family Psychology Review, 13, 254274. doi:10.1007/s10567-010-0071-2Google Scholar
Vaillancourt, T., Brittain, H. L., 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, 12031215. doi:10.1007/s10802-013-9781-5Google Scholar
van Lier, P. A., & Koot, H. M. (2010). Developmental cascades of peer relations and symptoms of externalizing and internalizing problems from kindergarten to fourth-grade elementary school. Development and Psychopathology, 22, 569582. doi:10.1017/S0954579410000283Google Scholar
Weeks, M., Ploubidis, G. B., Cairney, J., Wild, T. C., Naicker, K., & Colman, I. (2016). Developmental pathways linking childhood and adolescent internalizing, externalizing, academic competence, and adolescent depression. Journal of Adolescence, 51, 3040. doi:10.1016/j.adolescence.2016.05.009Google Scholar
Whitcomb, S. A., & Merrell, K. W. (2013). Behavioral, social, and emotional assessment of children and adolescents (4th ed.). New York: Routledge.10.4324/9780203818596Google Scholar
Wigelsworth, M., Qualter, P., & Humphrey, N. (2016). Emotional self-efficacy, conduct problems, and academic attainment: Developmental cascade effects in early adolescence. European Journal of Developmental Psychology. Advance online publication. doi:10.1080/17405629.2016.1180971Google Scholar
Winsler, A., & Wallace, G. L. (2002). Behavior problems and social skills in preschool children: Parent-teacher agreement and relations with classroom observations. Early Education & Development, 13, 4158. doi:10.1207/s15566935eed1301_3Google Scholar
Zhang, X. (2013). The longitudinal interplay of psychopathology and social competence during Chinese children's transition to preschool. Infant and Child Development, 22, 198215. doi:10.1002/icd.1780Google Scholar