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The codevelopment of internalizing symptoms, externalizing symptoms, and cognitive ability across childhood and adolescence

Published online by Cambridge University Press:  07 October 2019

Efstathios Papachristou Open the ORCID record for Efstathios Papachristou [Opens in a new window]  and
Eirini Flouri
Efstathios Papachristou*
Affiliation:
Department of Psychology and Human Development, UCL Institute of Education, University College London, London, UK
Eirini Flouri
Affiliation:
Department of Psychology and Human Development, UCL Institute of Education, University College London, London, UK
*
Author for Correspondence: Efstathios Papachristou, Department of Psychology and Human Development, UCL Institute of Education, University College London, 25 Woburn Square, LondonWC1H 0AA, UK; E-mail: [email protected].
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Abstract

Cognitive ability, externalizing symptoms, and internalizing symptoms are correlated in children. However, it is not known why they combine in the general child population over time. To address this, we used data on 17,318 children participating in the UK Millennium Cohort Study and followed-up five times between ages 3 and 14 years. We fitted three parallel-process latent growth curve models to identify the parallel unfolding of children's trajectories of internalizing symptoms, externalizing symptoms, and cognitive ability across this period. We also examined the effects of time-invariant (ethnicity, birth weight, maternal education and age at birth, and breastfeeding status) and time-varying covariates (maternal psychological distress and socioeconomic disadvantage) on the growth parameters of the trajectories. The results showed that the intercepts of the trajectories of cognitive ability and, particularly, externalizing symptoms were inversely correlated. Their linear slopes were also inversely correlated, suggesting parallel development. Internalizing symptoms were correlated positively with externalizing symptoms and inversely (and more modestly) with cognitive ability at baseline, but the slope of internalizing symptoms correlated (positively) only with the slope of externalizing symptoms. The covariates predicted 9% to 41% of the variance in the intercepts and slopes of all domains, suggesting they are important common risk factors. Overall, it appears that externalizing symptoms develop in parallel with both cognitive ability and internalizing symptoms from early childhood through to middle adolescence. Children on an increasing trajectory of externalizing symptoms are likely both increasing in internalizing symptoms and decreasing in cognitive skills as well, and are thus an important group to target for intervention.

Keywords

adolescencechildhoodcognitive abilityexternalizing symptomsinternalizing symptomstrajectories
Type
Regular Articles
Information
Development and Psychopathology , Volume 32 , Special Issue 4: Conceptualizing and Interrogating Autism Spectrum Disorder from a Developmental Psychopathology Framework , October 2020 , pp. 1375 - 1389
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Copyright © Cambridge University Press 2019

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References

Anderson, P., Doyle, L. W., & Victorian Infant Collaborative Study Group. (2003). Neurobehavioral outcomes of school-age children born extremely low birth weight or very preterm in the 1990s. Journal of the American Medical Association, 289, 3264–3272. doi:10.1001/jama.289.24.3264CrossRefGoogle ScholarPubMed
Basatemur, E., Gardiner, J., Williams, C., Melhuish, E., Barnes, J., & Sutcliffe, A. (2013). Maternal prepregnancy BMI and child cognition: A longitudinal cohort study. Pediatrics, 131, 56–63. doi:10.1542/peds.2012-0788CrossRefGoogle ScholarPubMed
Berry, D., & Willoughby, M. T. (2017). On the practical interpretability of cross-lagged panel models: Rethinking a developmental workhorse. Child Development, 88, 1186–1206. doi:10.1111/cdev.12660CrossRefGoogle ScholarPubMed
Bjornebekk, A., Siqveland, T. S., Haabrekke, K., Moe, V., Slinning, K., Fjell, A. M., & Walhovd, K. B. (2015). Development of children born to mothers with mental health problems: Subcortical volumes and cognitive performance at 4(1/2) years. European Child & Adolescent Psychiatry, 24, 115–118. doi:10.1007/s00787-014-0625-9CrossRefGoogle ScholarPubMed
Blair, C., McKinnon, R. D., & Family Life Project Investigators. (2016). Moderating effects of executive functions and the teacher-child relationship on the development of mathematics ability in kindergarten. Learning and Instruction, 41, 85–93. doi:10.1016/j.learninstruc.2015.10.001CrossRefGoogle ScholarPubMed
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective (Vol. 467). Hoboken, NJ: Wiley.Google Scholar
Boylan, K., Georgiades, K., & Szatmari, P. (2010). The longitudinal association between oppositional and depressive symptoms across childhood. Journal of the American Academy of Child & Adolescent Psychiatry, 49, 152–161. doi:10.1016/j.jaac.2009.09.007Google ScholarPubMed
Bracken, B. (1998). Bracken basic concept scale: Revised. San Antonio, TX: Psychological Corporation.Google Scholar
Campbell, S. B. (2002). Behavior problems in preschool children: Clinical and developmental issues (2nd ed.). New York: Guilford Press.Google Scholar
Carter, A. S., Godoy, L., Wagmiller, R. L., Veliz, P., Marakovitz, S., & Briggs-Gowan, M. J. (2010). Internalizing trajectories in young boys and girls: The whole is not a simple sum of its parts. Journal of Abnormal Child Psychology, 38, 19–31. doi:10.1007/s10802-009-9342-0CrossRefGoogle Scholar
Cheng, E. R., Palta, M., Kotelchuck, M., Poehlmann, J., & Witt, W. P. (2014). Cognitive delay and behavior problems prior to school age. Pediatrics, 134, e749–e757. doi:10.1542/peds.2014-0259CrossRefGoogle ScholarPubMed
Chou, M.-C., Wu, M.-T., Chen, H.-L., & Yang, P. (2016). Effects of very low birth weight on brain white matter measured by voxelwise diffusion tensor imaging in adolescents without neuromotor and cognitive deficits. Neuropsychiatry, 6, 201–207. doi:10.4172/Neuropsychiatry.1000141CrossRefGoogle Scholar
Christensen, D. L., Schieve, L. A., Devine, O., & Drews-Botsch, C. (2014). Socioeconomic status, child enrichment factors, and cognitive performance among preschool-age children: Results from the Follow-Up of Growth and Development Experiences study. Research in Developmental Disabilities, 35, 1789–1801. doi:10.1016/j.ridd.2014.02.003CrossRefGoogle ScholarPubMed
Crowell, J., & Waters, E. (2005). Attachment representations, secure-base behavior, and the evolution of adult relationships. In Grossmann, K. E., Grossmann, K., & Waters, E. (Eds.), Attachment from infancy to adulthood: The major longitudinal studies (pp. 223–244). New York: Guilford Press.Google Scholar
Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development, 11, 121–136. doi:10.1080/15248371003699969CrossRefGoogle ScholarPubMed
de Ruiter, K. P., Dekker, M. C., Verhulst, F. C., & Koot, H. M. (2007). Developmental course of psychopathology in youths with and without intellectual disabilities. Journal of Child Psychology and Psychiatry, 48, 498–507. doi:10.1111/j.1469-7610.2006.01712.xCrossRefGoogle ScholarPubMed
Douma, J. C., Dekker, M. C., de Ruiter, K. P., Tick, N. T., & Koot, H. M. (2007). Antisocial and delinquent behaviors in youths with mild or borderline disabilities. American Journal of Mental Retardation, 112, 207–220. doi:10.1352/0895-8017(2007)112[207:AADBIY]2.0.CO;2CrossRefGoogle ScholarPubMed
Elliott, C. D., Smith, P., & McCulloch, K. (1996). British Ability Scales: Second Edition (BAS II), Administration and scoring manual. London: Nelson.Google Scholar
Elliott, J., & Shepherd, P. (2006). Cohort profile: 1970 British Birth Cohort (BCS70). International Journal of Epidemiology, 35, 836–843. doi:10.1093/ije/dyl174CrossRefGoogle Scholar
Emerson, E. (2003). Prevalence of psychiatric disorders in children and adolescents with and without intellectual disability. Journal of Intellectual Disability Research, 47, 51–58. doi:10.1046/j.1365-2788.2003.00464.xCrossRefGoogle ScholarPubMed
Emerson, E., & Hatton, C. (2007). Mental health of children and adolescents with intellectual disabilities in Britain. British Journal of Psychiatry, 191, 493–499. doi:10.1192/bjp.bp.107.038729CrossRefGoogle ScholarPubMed
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. doi:10.1016/j.adolescence.2012.03.004CrossRefGoogle ScholarPubMed
Farajdokht, F., Sadigh-Eteghad, S., Dehghani, R., Mohaddes, G., Abedi, L., Bughchechi, R., … Mahmoudi, J. (2017). Very low birth weight is associated with brain structure abnormalities and cognitive function impairments: A systematic review. Brain and Cognition, 118, 80–89. doi:10.1016/j.bandc.2017.07.006CrossRefGoogle ScholarPubMed
Flouri, E., & Midouhas, E. (2017). Environmental adversity and children's early trajectories of problem behavior: The role of harsh parental discipline. Journal of Family Psychology, 31, 234–243. doi:10.1037/fam0000258CrossRefGoogle ScholarPubMed
Flouri, E., Midouhas, E., & Joshi, H. (2015). Family and neighbourhood risk and children's problem behaviour: The moderating role of intelligence. Intelligence, 53, 33–42. doi:10.1016/j.intell.2015.08.003CrossRefGoogle Scholar
Flouri, E., Papachristou, E., Midouhas, E., Joshi, H., Ploubidis, G. B., & Lewis, G. (2018). Early adolescent outcomes of joint developmental trajectories of problem behavior and IQ in childhood. European Child & Adolescent Psychiatry, 27, 1595–1605. doi:10.1007/s00787-018-1155-7CrossRefGoogle ScholarPubMed
Flouri, E., Papachristou, E., Midouhas, E., Ploubidis, G. B., Lewis, G., & Joshi, H. (2019). Developmental cascades of internalising symptoms, externalising problems and cognitive ability from early childhood to middle adolescence. European Psychiatry, 57, 61–69. doi:10.1016/j.eurpsy.2018.12.005CrossRefGoogle ScholarPubMed
Glaser, B., Gunnell, D., Timpson, N. J., Joinson, C., Zammit, S., Smith, G. D., & Lewis, G. (2011). Age- and puberty-dependent association between IQ score in early childhood and depressive symptoms in adolescence. Psychological Medicine, 41, 333–343. doi:10.1017/S0033291710000814CrossRefGoogle ScholarPubMed
Goodman, A., Lamping, D. L., & Ploubidis, G. B. (2010). When to use broader internalising and externalising subscales instead of the hypothesised five subscales on the Strengths and Difficulties Questionnaire (SDQ): Data from British parents, teachers and children. Journal of Abnormal Child Psychology, 38, 1179–1191. doi:10.1007/s10802-010-9434-xCrossRefGoogle ScholarPubMed
Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581–586. doi:10.1111/j.1469-7610.1997.tb01545.xCrossRefGoogle ScholarPubMed
Goodman, S. H., Rouse, M. H., Connell, A. M., Broth, M. R., Hall, C. M., & Heyward, D. (2011). Maternal depression and child psychopathology: A meta-analytic review. Clinical Child and Family Psychology Review, 14, 1–27. doi:10.1007/s10567-010-0080-1CrossRefGoogle ScholarPubMed
Gooren, E. M., van Lier, P. A., Stegge, H., Terwogt, M. M., & Koot, H. M. (2011). The development of conduct problems and depressive symptoms in early elementary school children: The role of peer rejection. Journal of Clinical Child & Adolescent Psychology, 40, 245–253. doi:10.1080/15374416.2011.546045CrossRefGoogle ScholarPubMed
Guerry, J. D., & Hastings, P. D. (2011). In search of HPA axis dysregulation in child and adolescent depression. Clinical Child and Family Psychology Review, 14, 135–160. doi:10.1007/s10567-011-0084-5CrossRefGoogle ScholarPubMed
Guo, G., & Harris, K. M. (2000). The mechanisms mediating the effects of poverty on children's intellectual development. Demography, 37, 431–447. doi:10.1353/dem.2000.0005CrossRefGoogle ScholarPubMed
Hagenaars, S. P., Harris, S. E., Davies, G., Hill, W. D., Liewald, D. C., Ritchie, S. J., … Malik, R. (2016). Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia. Molecular Psychiatry, 21, 1624–1632. doi:10.1038/mp.2015.225CrossRefGoogle ScholarPubMed
Hair, N. L., Hanson, J. L., Wolfe, B. L., & Pollak, S. D. (2015). Association of child poverty, brain development, and academic achievement. JAMA Pediatrics, 169, 822–829. doi:10.1001/jamapediatrics.2015.1475CrossRefGoogle ScholarPubMed
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20, 102–116. doi:10.1037/a0038889CrossRefGoogle ScholarPubMed
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S., & Plomin, R. (2012). Socioeconomic status (SES) and children's intelligence (IQ): In a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLOS ONE, 7, e30320. doi:10.1371/journal.pone.0030320CrossRefGoogle Scholar
Hanson, J. L., van den Bos, W., Roeber, B. J., Rudolph, K. D., Davidson, R. J., & Pollak, S. D. (2017). Early adversity and learning: Implications for typical and atypical behavioral development. Journal of Child Psychology and Psychiatry, 58, 770–778. doi:10.1111/jcpp.12694CrossRefGoogle ScholarPubMed
Herrenkohl, T. I., Kosterman, R., Mason, W. A., Hawkins, J. D., McCarty, C. A., & McCauley, E. (2010). Effects of childhood conduct problems and family adversity on health, health behaviors, and service use in early adulthood: Tests of developmental pathways involving adolescent risk taking and depression. Development and Psychopathology, 22, 655–665. doi:10.1017/S0954579410000349CrossRefGoogle ScholarPubMed
Hill, W. D., Davies, G., Liewald, D. C., McIntosh, A. M., & Deary, I. J. (2016). Age-dependent pleiotropy between general cognitive function and major psychiatric disorders. Biological Psychiatry, 80, 266–273. doi:10.1016/j.biopsych.2015.08.033CrossRefGoogle ScholarPubMed
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6, 53–60.Google Scholar
Johnson, W., Bouchard, T. J. Jr., Krueger, R. F., McGue, M., & Gottesman, I. I. (2004). Just one g: Consistent results from three test batteries. Intelligence, 32, 95–107. doi:10.1016/S0160-2896(03)00062-XCrossRefGoogle Scholar
Johnson, W., McGue, M., & Iacono, W. G. (2006). Genetic and environmental influences on academic achievement trajectories during adolescence. Developmental Psychology, 42, 514–532. doi:10.1037/0012-1649.42.3.514CrossRefGoogle ScholarPubMed
Juster, R. P., McEwen, B. S., & Lupien, S. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience & Biobehavioral Reviews, 35, 2–16. doi:10.1016/j.neubiorev.2009.10.002CrossRefGoogle ScholarPubMed
Kalil, A., Ryan, R., & Corey, M. (2012). Diverging destinies: Maternal education and the developmental gradient in time with children. Demography, 49, 1361–1383. doi:10.1007/s13524-012-0129-5CrossRefGoogle ScholarPubMed
Kanai, R., & Rees, G. (2011). The structural basis of inter-individual differences in human behaviour and cognition. Nature Reviews Neuroscience, 12, 231–242. doi:10.1038/nrn3000CrossRefGoogle ScholarPubMed
Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S.-L., … Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32, 959–976. doi:10.1017/S0033291702006074CrossRefGoogle ScholarPubMed
Koenen, K. C., Moffitt, T. E., Roberts, A. L., Martin, L. T., Kubzansky, L., Harrington, H., … Caspi, A. (2009). Childhood IQ and adult mental disorders: A test of the cognitive reserve hypothesis. American Journal of Psychiatry, 166, 50–57. doi:10.1176/appi.ajp.2008.08030343CrossRefGoogle ScholarPubMed
Lancefield, K. S., Raudino, A., Downs, J. M., & Laurens, K. R. (2016). Trajectories of childhood internalizing and externalizing psychopathology and psychotic-like experiences in adolescence: A prospective population-based cohort study. Development and Psychopathology, 28, 527–536. doi:10.1017/S0954579415001108CrossRefGoogle ScholarPubMed
Leve, L. D., Kim, H. K., & Pears, K. C. (2005). Childhood temperament and family environment as predictors of internalizing and externalizing trajectories from ages 5 to 17. Journal of Abnormal Child Psychology, 33, 505–520. doi:10.1007/s10802-005-6734-7CrossRefGoogle ScholarPubMed
Linver, M. R., Brooks-Gunn, J., & Kohen, D. E. (2002). Family processes as pathways from income to young children's development. Developmental Psychology, 38, 719–734. doi:10.1037/0012-1649.38.5.719CrossRefGoogle ScholarPubMed
Liu, D., Diorio, J., Tannenbaum, B., Caldji, C., Francis, D., Freedman, A., … Meaney, M. J. (1997). Maternal care, hippocampal glucocorticoid receptors, and hypothalamic-pituitary-adrenal responses to stress. Science, 277, 1659–1662. doi:10.1126/science.277.5332.1659CrossRefGoogle ScholarPubMed
Malmberg, L. E., & Flouri, E. (2011). The comparison and interdependence of maternal and paternal influences on young children's behavior and resilience. Journal of Clinical Child & Adolescent Psychology, 40, 434–444. doi:10.1080/15374416.2011.563469CrossRefGoogle Scholar
Martin, J., Hamshere, M. L., Stergiakouli, E., O'Donovan, M. C., & Thapar, A. (2015). Neurocognitive abilities in the general population and composite genetic risk scores for attention-deficit hyperactivity disorder. Journal of Child Psychology and Psychiatry, 56, 648–656. doi:10.1111/jcpp.12336CrossRefGoogle ScholarPubMed
Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradović, J., Riley, J. R., … Tellegen, A. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 41, 733–746. doi:10.1037/0012-1649.41.5.733CrossRefGoogle ScholarPubMed
McGrath, L. M., Braaten, E. B., Doty, N. D., Willoughby, B. L., Wilson, H. K., O'Donnell, E. H., … Hill, E. N. (2016). Extending the “cross-disorder” relevance of executive functions to dimensional neuropsychiatric traits in youth. Journal of Child Psychology and Psychiatry, 57, 462–471. doi:10.1111/jcpp.12463CrossRefGoogle ScholarPubMed
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. doi:10.1037/a0037389CrossRefGoogle Scholar
Moffitt, T. E. (2003). Life-course-persistent and adolescence-limited antisocial behavior: A 10-year research review and a research agenda. In Lahey, B. B., Moffitt, T. E., & Caspi, A. (Eds.), Causes of conduct disorder and juvenile delinquency (pp. 49–75). New York: Guildford Press.Google 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. doi:10.1017/S0954579410000337CrossRefGoogle ScholarPubMed
Morin, A. J., Arens, A. K., Maïano, C., Ciarrochi, J., Tracey, D., Parker, P. D., & Craven, R. G. (2017). Reciprocal relationships between teacher ratings of internalizing and externalizing behaviors in adolescents with different levels of cognitive abilities. Journal of Youth and Adolescence, 46, 801–825. doi:10.1007/s10964-016-0574-3CrossRefGoogle ScholarPubMed
Muniz-Terrera, G., Robitaille, A., Kelly, A., Johansson, B., Hofer, S., & Piccinin, A. (2017). Latent growth models matched to research questions to answer questions about dynamics of change in multiple processes. Journal of Clinical Epidemiology, 82, 158–166. doi:10.1016/j.jclinepi.2016.09.001CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (2009). Mplus. Hoboken, NJ: Wiley.Google Scholar
Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., … Sowell, E. R. (2015). Family income, parental education and brain structure in children and adolescents. Nature Neuroscience, 18, 773–778. doi:10.1038/nn.3983CrossRefGoogle ScholarPubMed
Oddy, W. H., Kendall, G. E., Li, J., Jacoby, P., Robinson, M., de Klerk, N. H., … Stanley, F. J. (2010). The long-term effects of breastfeeding on child and adolescent mental health: A pregnancy cohort study followed for 14 years. Journal of Pediatrics, 156, 568–574. doi:10.1016/j.jpeds.2009.10.020CrossRefGoogle ScholarPubMed
Ormel, J., Raven, D., van Oort, F., Hartman, C. A., Reijneveld, S. A., Veenstra, R., … Oldehinkel, A. J. (2015). Mental health in Dutch adolescents: A TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychological Medicine, 45, 345–360. doi:10.1017/S0033291714001469CrossRefGoogle ScholarPubMed
Park, S., Kim, B. N., Kim, J. W., Shin, M. S., Yoo, H. J., & Cho, S. C. (2014). Protective effect of breastfeeding with regard to children's behavioral and cognitive problems. Nutritional Journal, 13, 111. doi:10.1186/1475-2891-13-111Google ScholarPubMed
Plewis, I., Calderwood, L., Hawkes, D., Hughes, G., & Joshi, H. (2007). Millennium Cohort Study: Technical report on sampling. London: Centre for Longitudinal Studies.Google Scholar
Price, J. L., & Drevets, W. C. (2010). Neurocircuitry of mood disorders. Neuropsychopharmacology, 35, 192. doi:10.1038/npp.2009.104CrossRefGoogle ScholarPubMed
Richer, L., Lachance, L., & Côté, A. (2016). Relationship between age and psychopathological manifestations in school-age children with an intellectual disability: The role of executive functioning. DADD Online Journal, 3, 181–200. https://constellation.uqac.ca/3977/1/DOJ_3_2016.pdfGoogle Scholar
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. doi:10.1016/j.adolescence.2013.03.002CrossRefGoogle ScholarPubMed
Rimm-Kaufman, S. E., Pianta, R. C., & Cox, M. J. (2000). Teachers’ judgments of problems in the transition to kindergarten. Early Childhood Research Quarterly, 15, 147–166. doi:10.1016/S0885-2006(00)00049-1CrossRefGoogle 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, 883–897. doi:10.1017/S0954579410000520CrossRefGoogle ScholarPubMed
Roubinov, D. S., & Boyce, W. T. (2017). Parenting and SES: Relative values or enduring principles? Current Opinion in Psychology, 15, 162–167. doi:10.1016/j.copsyc.2017.03.001CrossRefGoogle ScholarPubMed
Sergeant, J. A., Geurts, H., & Oosterlaan, J. (2002). How specific is a deficit of executive functioning for attention-deficit/hyperactivity disorder? Behavioural Brain Research, 130, 3–28. doi:10.1016/S0166-4328(01)00430-2CrossRefGoogle ScholarPubMed
Sisco, S., Gross, A. L., Shih, R. A., Sachs, B. C., Glymour, M. M., Bangen, K. J., … Manly, J. J. (2015). The role of early-life educational quality and literacy in explaining racial disparities in cognition in late life. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 70, 557–567. doi:10.1093/geronb/gbt133CrossRefGoogle ScholarPubMed
StataCorp. (2011). Stata/SE Version 14.2. College Station, TX.Google Scholar
Tong, S., Baghurst, P., Vimpani, G., & McMichael, A. (2007). Socioeconomic position, maternal IQ, home environment, and cognitive development. Journal of Pediatrics, 151, 284–288. doi:10.1016/j.jpeds.2007.03.020CrossRefGoogle ScholarPubMed
Toren, P., Sadeh, M., Wolmer, L., Eldar, S., Koren, S., Weizman, R., & Laor, N. (2000). Neurocognitive correlates of anxiety disorders in children: A preliminary report. Journal of Anxiety Disorders, 14, 239–247. doi:10.1016/S0887-6185(99)00036-5CrossRefGoogle ScholarPubMed
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, 1203–1215. doi:10.1007/s10802-013-9781-5CrossRefGoogle ScholarPubMed
Van der Ende, J., Verhulst, F. C., & Tiemeier, H. (2016). The bidirectional pathways between internalizing and externalizing problems and academic performance from 6 to 18 years. Development and Psychopathology, 28, 855–867. doi:10.1017/S0954579416000353CrossRefGoogle ScholarPubMed
Van der Meer, M., Dixon, A., & Rose, D. (2008). Parent and child agreement on reports of problem behaviour obtained from a screening questionnaire, the SDQ. European Child & Adolescent Psychiatry, 17, 491–497. doi:10.1007/s00787-008-0691-yCrossRefGoogle ScholarPubMed
Van der Meere, J., Marzocchi, G. M., & De Meo, T. (2005). Response inhibition and attention deficit hyperactivity disorder with and without oppositional defiant disorder screened from a community sample. Developmental Neuropsychology, 28, 459–472. doi:10.1207/s15326942dn2801_1CrossRefGoogle ScholarPubMed
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, 569–582. doi:10.1017/S0954579410000283CrossRefGoogle ScholarPubMed
van Lier, P. A., 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. doi:10.1111/j.1467-8624.2012.01802.xCrossRefGoogle 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. doi:10.1037/a0032547CrossRefGoogle ScholarPubMed
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, 30–40. doi:10.1016/j.adolescence.2016.05.009CrossRefGoogle ScholarPubMed
Weinstock, M. (2005). The potential influence of maternal stress hormones on development and mental health of the offspring. Brain, Behavior, and Immunity, 19, 296–308. doi:10.1016/j.bbi.2004.09.006CrossRefGoogle ScholarPubMed
Whittle, S., Vijayakumar, N., Simmons, J. G., & Allen, N. B. (2019). Internalizing and externalizing symptoms are associated with different trajectories of cortical development during late childhood. Journal of the American Academy of Child & Adolescent Psychiatry. Advance online publication. doi:10.1016/j.jaac.2019.04.006Google ScholarPubMed
Wickrama, K. K., Lee, T. K., O'Neal, C. W., & Lorenz, F. O. (2016). Higher-order growth curves and mixture modeling with Mplus: A practical guide. New York: Routledge.CrossRefGoogle Scholar
Wiesner, M. (2003). A longitudinal latent variable analysis of reciprocal relations between depressive symptoms and delinquency during adolescence. Journal of Abnormal Psychology, 112, 633–645. doi:10.1037/0021-843X.112.4.633CrossRefGoogle ScholarPubMed
Wood, S. J., Brewer, W. J., Koutsouradis, P., Phillips, L. J., Francey, S. M., Proffitt, T. M., … Pantelis, C. (2007). Cognitive decline following psychosis onset: Data from the PACE clinic. British Journal of Psychiatry 51(Suppl.), s52–s57. doi:10.1192/bjp.191.51.s52CrossRefGoogle ScholarPubMed
Zammit, S., Allebeck, P., David, A. S., Dalman, C., Hemmingsson, T., Lundberg, I., & Lewis, G. (2004). A longitudinal study of premorbid IQ Score and risk of developing schizophrenia, bipolar disorder, severe depression, and other nonaffective psychoses. Archives of General Psychiatry, 61, 354–360. doi:10.1001/archpsyc.61.4.354CrossRefGoogle ScholarPubMed