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Developmental multi-trajectory of irritability, anxiety, and hyperactivity as psychological markers of heterogeneity in childhood aggression

Published online by Cambridge University Press:  05 June 2020

Jules R. Dugré
Affiliation:
Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada
Stéphane Potvin
Affiliation:
Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada
Corresponding
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Abstract

Background

A growing body of evidence suggests that child aggression is likely to be driven by multiple developmental pathways. However, little is known about the complex interactions between developmental trajectories of child psychological factors (such as anxiety, irritability, and hyperactivity/impulsivity dimensions) and their associations with aggression from childhood to adolescence. Therefore, the current study aimed to identify clusters of individuals with different developmental multi-trajectory, investigate their early risk factors, and describe their longitudinal associations with physical aggression.

Method

The sample comprised 4898 children derived from the Fragile Families and Child Wellbeing Study. A parallel process growth mixture model was used to identify developmental multi-trajectory groups at 5, 9 and 15 years old. Associations between multi-trajectory group membership and physical aggression were examined with Generalized Estimating Equations models. Finally, multinomial logistic regression was performed to assess perinatal and early risk factors for multi-trajectory groups.

Results

Multi-trajectory groups differed in the magnitude of risk for exhibiting physical aggression, compared to typically developing children. The risk for physical aggression was the most prominent in children who were hyperactive/impulsive and irritable [odds ratio (OR) 6.47; 95% confidence interval (CI) 5.44–7.70] and hyperactive/impulsive, irritable, and anxious (OR 7.68; CI 6.62–8.91). Furthermore, maternal cigarette and alcohol use during pregnancy and maternal depression consistently predicted multi-trajectory groups characterized by problematic levels of at least two co-occurrent psychological symptoms.

Conclusions

Identified combinations of developmental trajectories of psychological characteristics were associated with different magnitude in risk for exhibiting physical aggression. These results may highlight the heterogeneity of developmental trajectories associated with childhood aggression.

Type
Original Articles
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Achenbach, T. (1991). Integrative guide to the 1991 CBCL/4-18, YSR, and TRF Profiles. Burlington, VT: University of Vermont.Google Scholar
Achenbach, T. M., Dumenci, L., & Rescorla, L. A. (2001). Ratings of relations between DSM-IV diagnostic categories and items of the CBCL/6-18, TRF, and YSR (pp. 19). Burlington, VT: University of Vermont.Google Scholar
Allan, N. P., Capron, D. W., Lejuez, C. W., Reynolds, E. K., MacPherson, L., & Schmidt, N. B. (2014). Developmental trajectories of anxiety symptoms in early adolescence: The influence of anxiety sensitivity. Journal of Abnormal Child Psychology, 42(4), 589600.CrossRefGoogle ScholarPubMed
Beck, C. T. (1999). Maternal depression and child behaviour problems: A meta-analysis. Journal of Advanced Nursing, 29(3), 623629.CrossRefGoogle ScholarPubMed
Bernard-Bonnin, A. C., Canadian Paediatric Society, & Mental Health and Developmental Disabilities Committee (2004). Maternal depression and child development. Paediatrics & Child Health, 9(8), 575583.CrossRefGoogle Scholar
Bevilacqua, L., Hale, D., Barker, E. D., & Viner, R. (2018). Conduct problems trajectories and psychosocial outcomes: A systematic review and meta-analysis. European Child & Adolescent Psychiatry, 27(10), 12391260.CrossRefGoogle ScholarPubMed
Blair, R. J. R., Leibenluft, E., & Pine, D. S. (2014). Conduct disorder and callous–unemotional traits in youth. New England Journal of Medicine, 371(23), 22072216.CrossRefGoogle ScholarPubMed
Broeren, S., Muris, P., Diamantopoulou, S., & Baker, J. R. (2013). The course of childhood anxiety symptoms: Developmental trajectories and child-related factors in normal children. Journal of Abnormal Child Psychology, 41(1), 8195.CrossRefGoogle ScholarPubMed
Bubier, J. L., & Drabick, D. A. (2009). Co-occurring anxiety and disruptive behavior disorders: The roles of anxious symptoms, reactive aggression, and shared risk processes. Clinical Psychology Review, 29(7), 658669.CrossRefGoogle ScholarPubMed
Bufferd, S. J., Dougherty, L. R., Carlson, G. A., & Klein, D. N. (2011). Parent-reported mental health in preschoolers: Findings using a diagnostic interview. Comprehensive Psychiatry, 52(4), 359369.CrossRefGoogle ScholarPubMed
Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13(2), 195212.CrossRefGoogle Scholar
Connor, D. F., & Doerfler, L. A. (2008). ADHD with comorbid oppositional defiant disorder or conduct disorder: Discrete or nondistinct disruptive behavior disorders? Journal of Attention Disorders, 12(2), 126134.CrossRefGoogle ScholarPubMed
Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60(8), 837844.CrossRefGoogle ScholarPubMed
Côte, S., Tremblay, R. E., Nagin, D. S., Zoccolillo, M., & Vitaro, F. (2002). Childhood behavioral profiles leading to adolescent conduct disorder: Risk trajectories for boys and girls. Journal of the American Academy of Child & Adolescent Psychiatry, 41(9), 10861094.CrossRefGoogle ScholarPubMed
Crocetti, E., Klimstra, T., Keijsers, L., Hale, W. W., & Meeus, W. (2009). Anxiety trajectories and identity development in adolescence: A five-wave longitudinal study. Journal of Youth and Adolescence, 38(6), 839849.CrossRefGoogle ScholarPubMed
Cunningham, N. R., & Ollendick, T. H. (2010). Comorbidity of anxiety and conduct problems in children: Implications for clinical research and practice. Clinical Child and Family Psychology Review, 13(4), 333347.CrossRefGoogle ScholarPubMed
Deming, A. M., & Lochman, J. E. (2008). The relation of locus of control, anger, and impulsivity to boys’ aggressive behavior. Behavioral Disorders, 33(2), 108119.CrossRefGoogle Scholar
Duchesne, S., Larose, S., Vitaro, F., & Tremblay, R. E. (2010). Trajectories of anxiety in a population sample of children: Clarifying the role of children's behavioral characteristics and maternal parenting. Development and Psychopathology, 22(2), 361373.CrossRefGoogle Scholar
Dugré, J. R., Dumais, A., Dellazizzo, L., & Potvin, S. (2019). Developmental joint trajectories of anxiety-depressive trait and trait-aggression: Implications for co-occurrence of internalizing and externalizing problems. Psychological Medicine, 110. https://doi.org/10.1017/S0033291719001272.CrossRefGoogle ScholarPubMed
Ezpeleta, L., Granero, R., de la Osa, N., Trepat, E., & Domènech, J. M. (2016). Trajectories of oppositional defiant disorder irritability symptoms in preschool children. Journal of Abnormal Child Psychology, 44(1), 115128.CrossRefGoogle ScholarPubMed
Fanti, K. A. (2018). Understanding heterogeneity in conduct disorder: A review of psychophysiological studies. Neuroscience & Biobehavioral Reviews, 91, 420.CrossRefGoogle ScholarPubMed
Fanti, K. A., & Henrich, C. C. (2010). Trajectories of pure and co-occurring internalizing and externalizing problems from age 2 to age 12: Findings from the National Institute of Child Health and Human Development Study of Early Child Care. Developmental Psychology, 46(5), 1159.CrossRefGoogle ScholarPubMed
Faraone, S. V., & Larsson, H. (2019). Genetics of attention deficit hyperactivity disorder. Molecular Psychiatry, 24(4), 562575.CrossRefGoogle ScholarPubMed
Feng, X., Shaw, D. S., & Silk, J. S. (2008). Developmental trajectories of anxiety symptoms among boys across early and middle childhood. Journal of Abnormal Psychology, 117(1), 32.CrossRefGoogle ScholarPubMed
Franić, S., Middeldorp, C. M., Dolan, C. V., Ligthart, L., & Boomsma, D. I. (2010). Childhood and adolescent anxiety and depression: Beyond heritability. Journal of the American Academy of Child & Adolescent Psychiatry, 49(8), 820829.CrossRefGoogle ScholarPubMed
Franz, A. P., Bolat, G. U., Bolat, H., Matijasevich, A., Santos, I. S., Silveira, R. C., … Moreira-Maia, C. R. (2018). Attention-deficit/hyperactivity disorder and very preterm/very low birth weight: A meta-analysis. Pediatrics, 141(1), e20171645.CrossRefGoogle ScholarPubMed
Galéra, C., Côté, S. M., Bouvard, M. P., Pingault, J.-B., Melchior, M., Michel, G., … Tremblay, R. E. (2011). Early risk factors for hyperactivity-impulsivity and inattention trajectories from age 17 months to 8 years. Archives of General Psychiatry, 68(12), 12671275.CrossRefGoogle 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), 127.CrossRefGoogle ScholarPubMed
Gorostiaga, A., Aliri, J., Balluerka, N., & Lameirinhas, J. (2019). Parenting styles and internalizing symptoms in adolescence: A systematic literature review. International Journal of Environmental Research and Public Health, 16(17), 3192.CrossRefGoogle ScholarPubMed
Hawes, D. J. (2014). Disruptive behaviour disorders and DSM-5. Asian Journal of Psychiatry, 11, 102105.CrossRefGoogle ScholarPubMed
Huang, L., Wang, Y., Zhang, L., Zheng, Z., Zhu, T., Qu, Y., & Mu, D. (2018). Maternal smoking and attention-deficit/hyperactivity disorder in offspring: A meta-analysis. Pediatrics, 141(1), e20172465.CrossRefGoogle ScholarPubMed
Hubbard, J. A., McAuliffe, M. D., Morrow, M. T., & Romano, L. J. (2010). Reactive and proactive aggression in childhood and adolescence: Precursors, outcomes, processes, experiences, and measurement. Journal of Personality, 78(1), 95118.CrossRefGoogle Scholar
Hughes, M. M., Black, R. E., & Katz, J. (2017). 2500-g Low birth weight cutoff: History and implications for future research and policy. Maternal and Child Health Journal, 21(2), 283289.CrossRefGoogle ScholarPubMed
IBM Corp. (2017). IBM SPSS statistics for windows, Version 25.0. Armonk, NY: IBM Corp.Google Scholar
Jacobson, J. L., & Jacobson, S. W. (2002). Effects of prenatal alcohol exposure on child development. Alcohol Research & Health, 26(4), 282.Google ScholarPubMed
Jung, T., & Wickrama, K. A. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302317.CrossRefGoogle Scholar
Kessler, R. C., Andrews, G., Mroczek, D., Ustun, B., & Wittchen, H. U. (1998). The World Health Organization composite international diagnostic interview short-form (CIDI-SF). International Journal of Methods in Psychiatric Research, 7(4), 171185.CrossRefGoogle Scholar
Lester, B. M., Conradt, E., & Marsit, C. J. (2013). Epigenetic basis for the development of depression in children. Clinical Obstetrics and Gynecology, 56(3), 556.CrossRefGoogle ScholarPubMed
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767778.CrossRefGoogle Scholar
Loeber, R., Burke, J. D., Lahey, B. B., Winters, A., & Zera, M. (2000). Oppositional defiant and conduct disorder: A review of the past 10 years, part I. Journal of the American Academy of Child & Adolescent Psychiatry, 39(12), 14681484.CrossRefGoogle ScholarPubMed
Madigan, S., Oatley, H., Racine, N., Fearon, R. P., Schumacher, L., Akbari, E., … Tarabulsy, G. M. (2018). A meta-analysis of maternal prenatal depression and anxiety on child socioemotional development. Journal of the American Academy of Child & Adolescent Psychiatry, 57(9), 645657. e648.CrossRefGoogle ScholarPubMed
Marsee, M. A., & Frick, P. J. (2007). Exploring the cognitive and emotional correlates to proactive and reactive aggression in a sample of detained girls. Journal of Abnormal Child Psychology, 35(6), 969981.CrossRefGoogle Scholar
Miller, J. D., & Lynam, D. R. (2006). Reactive and proactive aggression: Similarities and differences. Personality and Individual Differences, 41(8), 14691480.CrossRefGoogle Scholar
Momany, A. M., Kamradt, J. M., & Nikolas, M. A. (2018). A meta-analysis of the association between birth weight and attention deficit hyperactivity disorder. Journal of Abnormal Child Psychology, 46(7), 14091426.CrossRefGoogle ScholarPubMed
Moran, L. R., Lengua, L. J., & Zalewski, M. (2013). The interaction between negative emotionality and effortful control in early social-emotional development. Social Development, 22(2), 340362.CrossRefGoogle ScholarPubMed
Morin, A. J., Maïano, C., Nagengast, B., Marsh, H. W., Morizot, J., & Janosz, M. (2011). General growth mixture analysis of adolescents’ developmental trajectories of anxiety: The impact of untested invariance assumptions on substantive interpretations. Structural Equation Modeling: A Multidisciplinary Journal, 18(4), 613648.CrossRefGoogle Scholar
Moylan, S., Gustavson, K., Øverland, S., Karevold, E. B., Jacka, F. N., Pasco, J. A., & Berk, M. (2015). The impact of maternal smoking during pregnancy on depressive and anxiety behaviors in children: The Norwegian Mother and Child Cohort Study. BMC Medicine, 13(1), 24.CrossRefGoogle ScholarPubMed
Munhoz, TN, Santos, IS, Barros, AJ, Anselmi, L, Barros, FC, & Matijasevich, A. (2017). Perinatal and postnatal risk factors for disruptive mood dysregulation disorder at age 11: 2004 Pelotas Birth Cohort Study. Journal of Affective Disorders, 215, 263268.CrossRefGoogle ScholarPubMed
Musser, E. D., Karalunas, S. L., Dieckmann, N., Peris, T. S., & Nigg, J. T. (2016). Attention-deficit/hyperactivity disorder developmental trajectories related to parental expressed emotion. Journal of Abnormal Psychology, 125(2), 182.CrossRefGoogle ScholarPubMed
Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24(6), 882891.CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (1998–2011). Mplus user's guide (6th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Nagin, D. S., Jones, B. L., Passos, V. L., & Tremblay, R. E. (2018). Group-based multi-trajectory modeling. Statistical Methods in Medical Research, 27(7), 20152023.CrossRefGoogle ScholarPubMed
Nagin, D. S., & Tremblay, R. E. (1999). Trajectories of boys’ physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development, 70(5), 11811196.CrossRefGoogle ScholarPubMed
Nock, M. K., Kazdin, A. E., Hiripi, E., & Kessler, R. C. (2006). Prevalence, subtypes, and correlates of DSM-IV conduct disorder in the National Comorbidity Survey Replication. Psychological Medicine, 36(5), 699710.CrossRefGoogle ScholarPubMed
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535569.CrossRefGoogle Scholar
Orri, M., Galera, C., Turecki, G., Boivin, M., Tremblay, R. E., Geoffroy, M.-C., & Côté, S. M. (2019). Pathways of association between childhood irritability and adolescent suicidality. Journal of the American Academy of Child & Adolescent Psychiatry, 58(1), 99107. e103.CrossRefGoogle ScholarPubMed
Orri, M., Galera, C., Turecki, G., Forte, A., Renaud, J., Boivin, M., … Geoffroy, M.-C. (2018). Association of childhood irritability and depressive/anxious mood profiles with adolescent suicidal ideation and attempts. JAMA Psychiatry, 75(5), 465473.CrossRefGoogle ScholarPubMed
Pingault, J.-B., Côté, S. M., Lacourse, E., Galéra, C., Vitaro, F., & Tremblay, R. E. (2013). Childhood hyperactivity, physical aggression and criminality: A 19-year prospective population-based study. PLoS ONE, 8(5), 15.CrossRefGoogle ScholarPubMed
Pinquart, M. (2017a). Associations of parenting dimensions and styles with externalizing problems of children and adolescents: An updated meta-analysis. Developmental Psychology, 53(5), 873.CrossRefGoogle Scholar
Pinquart, M. (2017b). Associations of parenting dimensions and styles with internalizing symptoms in children and adolescents: A meta-analysis. Marriage & Family Review, 53(7), 613640.CrossRefGoogle Scholar
Reichman, N. E., Teitler, J. O., Garfinkel, I., & McLanahan, S. S. (2001). Fragile families: Sample and design. Children and Youth Services Review, 23(4–5), 303326.CrossRefGoogle Scholar
Saylor, K. E., & Amann, B. H. (2016). Impulsive aggression as a comorbidity of attention-deficit/hyperactivity disorder in children and adolescents. Journal of Child and Adolescent Psychopharmacology, 26(1), 1925.CrossRefGoogle ScholarPubMed
Séguin, J. R., & Tremblay, R. E. (2010) Aggression and antisocial behavior: A developmental perspective. In Zelazo, P. D. (Ed.), The Oxford handbook of developmental psychology, volume 2: Self and other (pp. 507526). New York, NY: Oxford University Press.Google Scholar
Slotkin, T. A. (2004). Cholinergic systems in brain development and disruption by neurotoxicants: Nicotine, environmental tobacco smoke, organophosphates. Toxicology and Applied Pharmacology, 198(2), 132151.CrossRefGoogle ScholarPubMed
Straus, M. A., Hamby, S. L., Finkelhor, D., Moore, D. W., & Runyan, D. (1998). Identification of child maltreatment with the Parent-Child Conflict Tactics Scales: Development and psychometric data for a national sample of American parents. Child Abuse & Neglect, 22(4), 249270.CrossRefGoogle ScholarPubMed
Stringaris, A., Zavos, H., Leibenluft, E., Maughan, B., & Eley, T. C. (2012). Adolescent irritability: Phenotypic associations and genetic links with depressed mood. American Journal of Psychiatry, 169(1), 4754.CrossRefGoogle ScholarPubMed
Subramoney, S., Eastman, E., Adnams, C., Stein, D. J., & Donald, K. A. (2018). The early developmental outcomes of prenatal alcohol exposure: A review. Frontiers in Neurology, 9, 1108.CrossRefGoogle ScholarPubMed
Valenzuela, C. F., Morton, R. A., Diaz, M. R., & Topper, L. (2012). Does moderate drinking harm the fetal brain? Insights from animal models. Trends in Neurosciences, 35(5), 284292.CrossRefGoogle ScholarPubMed
Vergunst, F, Tremblay, RE, Galera, C, Nagin, D, Vitaro, F, Boivin, M, & Côté, SM. (2019). Multi-rater developmental trajectories of hyperactivity–impulsivity and inattention symptoms from 1.5 to 17 years: a population-based birth cohort study. European Child & Adolescent Psychiatry, 28(7), 973983.CrossRefGoogle ScholarPubMed
Vitaro, F., Barker, E. D., Boivin, M., Brendgen, M., & Tremblay, R. E. (2006). Do early difficult temperament and harsh parenting differentially predict reactive and proactive aggression? Journal of Abnormal Child Psychology, 34(5), 681691.CrossRefGoogle ScholarPubMed
Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica: Journal of the Econometric Society, 57(2), 307333.CrossRefGoogle Scholar
Walters, E. E., Kessler, R. C., Nelson, C. B., & Mroczek, D. (2002). Scoring the World Health Organization's composite international diagnostic interview short form (CIDI-SF). Geneva: World Health Organization.Google Scholar
Wiggins, J. L., Mitchell, C., Stringaris, A., & Leibenluft, E. (2014). Developmental trajectories of irritability and bidirectional associations with maternal depression. Journal of the American Academy of Child & Adolescent Psychiatry, 53(11), 11911205. e1194.CrossRefGoogle ScholarPubMed
Yap, M. B. H., & Jorm, A. F. (2015). Parental factors associated with childhood anxiety, depression, and internalizing problems: A systematic review and meta-analysis. Journal of Affective Disorders, 175, 424440.CrossRefGoogle ScholarPubMed
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