Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-24T17:11:15.808Z Has data issue: false hasContentIssue false

The role of childhood generalized anxiety in the internalizing cluster

Published online by Cambridge University Press:  25 September 2019

Kirsty S. Lee
Affiliation:
Counselling Psychology, Faculty of Education, University of Ottawa, K1N 6N5, Canada
Tracy Vaillancourt*
Affiliation:
Counselling Psychology, Faculty of Education and School of Psychology, Faculty of Social Sciences, University of Ottawa, K1N 6N5, Canada
*
Author for correspondence: Tracy Vaillancourt, E-mail: [email protected]

Abstract

Background

Anxiety, depression and somatization (the internalizing cluster) are highly comorbid, prevalent and associated with significant individual and societal costs. Although prior studies have examined their natural course, there has been a little investigation into how symptoms unfold at the individual level. We examined the intraindividual (within-person) temporal patterning of symptom development and the impact of risk factors (sex, ethnicity, socioeconomic indicators, bullying victimization, child maltreatment) on symptom means and trajectories (between-person), comparing youth and parent reports.

Method

Over a 7-year interval from age 11 to 17, children (n = 669; 54% girls; 79% White) and parents (89% mothers) reported on symptoms of anxiety and depression from age 11 and somatization from age 13. Autoregressive latent trajectory models with structured residuals were used to uncouple within- and between-person sources of variance.

Results

According to self-reports, generalized anxiety consistently predicted depression, while anxiety and depression consistently predicted somatization. Anxiety also had an indirect effect on somatization via depression. According to parent reports, there were several bidirectional effects between anxiety and depression and between depression and somatization. Experiences of abuse were consistent risk factors for self-reported internalizing symptoms, and across informants, girls had higher symptom means and rising trajectories compared to boys.

Conclusion

Generalized anxiety plays an important role in adolescent depressive and somatic symptoms. Primary prevention of anxiety may be warranted to curb symptom continuity and the development of comorbidity. Research is needed to determine whether self-reports of anxiety should be prioritized over parent reports and continued efforts are needed to reduce bullying and child maltreatment.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2019

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.)

References

Achenbach, TM, McConaughy, SH and Howell, CT (1987) Child/adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychological Bulletin 101, 213232.CrossRefGoogle Scholar
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Arlington, VA: American Psychiatric Association.Google Scholar
Arseneault, L, Milne, BJ, Taylor, A, Adams, F, Delgado, K, Caspi, A and Moffitt, TE (2008) Being bullied as an environmentally mediated contributing factor to children's internalizing problems: a study of twins discordant for victimization. Archives of Pediatrics & Adolescent Medicine 162, 145150.CrossRefGoogle Scholar
Ask, H, Waaktaar, T, Seglem, KB and Torgersen, S (2016) Common etiological sources of anxiety, depression, and somatic complaints in adolescents: a multiple rater twin study. Journal of Abnormal Child Psychology 44, 101114.CrossRefGoogle Scholar
Baldwin, JR, Reuben, A, Newbury, JB and Danese, A (2019) Agreement between prospective and retrospective measures of childhood maltreatment: a systematic review and meta-analysis. JAMA Psychiatry 76, 584593.CrossRefGoogle Scholar
Berry, D and Willoughby, MT (2017) On the practical interpretability of cross-lagged panel models: rethinking a developmental workhorse. Child Development 88, 11861206.CrossRefGoogle Scholar
Bosco, FA, Pierce, CA, Field, JG, Singh, K and Aguinis, H (2014) Correlational effect size benchmarks. Journal of Applied Psychology 100, 431449.CrossRefGoogle Scholar
Browne, MW and Cudeck, R (1992) Alternative ways of assessing model fit. Sociological Methods & Research 21, 230258.CrossRefGoogle Scholar
Cohen, JR, Andrews, AR, Davis, MM and Rudolph, KD (2018) Anxiety and depression during childhood and adolescence: testing theoretical models of continuity and discontinuity. Journal of Abnormal Child Psychology 46, 12951308.CrossRefGoogle Scholar
Copeland, WE, Wolke, D, Shanahan, L and Costello, J (2015) Adult functional outcomes of common childhood psychiatric problems: a prospective, longitudinal study. JAMA Psychiatry 72, 892899.CrossRefGoogle Scholar
Costello, EJ, Mustillo, S, Erkanli, A, Keeler, G and Angold, A (2003) Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry 60, 837844.CrossRefGoogle Scholar
Cribbie, RA (2013) Multiplicity control in structural equation modeling: incorporating parameter dependencies. Structural Equation Modeling 20, 7985.Google Scholar
Cunningham, CE, Boyle, MH, Hong, S, Pettingill, P and Bohaychuk, D (2009) The brief child and family phone interview (BCFPI): 1. Rationale, development, and description of a computerized children's mental health intake and outcome assessment tool. Journal of Child Psychology and Psychiatry and Allied Disciplines 50, 416423.CrossRefGoogle Scholar
Curran, PJ, Howard, AL, Bainter, SA, Lane, ST and McGinley, JS (2014) The separation of between-person and within-person components of individual change over time: a latent curve model with structured residuals. Journal of Consulting and Clinical Psychology 82, 879894.CrossRefGoogle Scholar
Demyttenaere, K, Bruffaerts, R, Posada-Villa, J, Gasquet, I, Kovess, V, Lepine, JP, Angermeyer, MC, Bernert, S, de Girolamo, G, Morosini, P, Polidori, G, Kikkawa, T, Kawakami, N, Ono, Y, Takeshima, T, Uda, H, Karam, EG, Fayyad, JA, Karam, AN, Mneimneh, ZN, Medina-Mora, ME, Borges, G, Lara, C, de Graaf, R, Ormel, J, Gureje, O, Shen, Y, Huang, Y, Zhang, M, Alonso, J, Haro, JM, Vilagut, G, Bromet, EJ, Gluzman, S, Webb, C, Kessler, RC, Merikangas, KR, Anthony, JC, Von Korff, MR, Wang, PS, Ustun, B, Heeringa, P, Chatterji, F, Aguilar-Gaxiola, L and Brugha, Z (2004) Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. Journal of the American Medical Association 291, 25812590.Google Scholar
Fava, GA and Tossani, E (2007) Prodromal stage of major depression. Early Intervention in Psychiatry 1, 918.CrossRefGoogle Scholar
Goolsby, J, Rich, BA, Hinnant, B, Habayeb, S, Berghorst, L, De Los Reyes, A and Alvord, MK (2018) Parent–child informant discrepancy is associated with poorer treatment outcome. Journal of Child and Family Studies 27, 12281241.CrossRefGoogle Scholar
Hettema, JM, Neale, MC and Kendler, KS (2014) A review and meta-analysis of the genetic epidemiology of anxiety disorders. American Journal of Psychiatry 158, 15681578.CrossRefGoogle Scholar
Holmes, EA, Ghaderi, A, Harmer, CJ, Ramchandani, PG, Cuijpers, P, Morrison, AP, Roiser, JP, Bockting, CLH, Connor, RCO, Shafran, R, Moulds, ML and Craske, MG (2018) The Lancet Psychiatry Commission on psychological treatments research in tomorrow’ s science. The Lancet Psychiatry 5, 237286.CrossRefGoogle Scholar
Hu, L, Bentler, PM and Kano, Y (1992) Can test statistics in covariance structure analysis be trusted? Psychological Bulletin 112, 351.CrossRefGoogle Scholar
Jackson, A, Cavanagh, J and Scott, J (2003) A systematic review of manic and depressive prodromes. Journal of Affective Disorders 74, 209217.CrossRefGoogle Scholar
Jacobson, NC and Newman, MG (2017) Anxiety and depression as bidirectional risk factors for one another: a meta-analysis of longitudinal studies anxiety and depression as bidirectional risk factors for one another: a meta-analysis of longitudinal studies. Psychological Bulletin 143, 11551200.CrossRefGoogle Scholar
Janssens, KAM, Rosmalen, JGM, Ormel, J, van Oort, FVA and Oldehinkel, AJ (2010) Anxiety and depression are risk factors rather than consequences of functional somatic symptoms in a general population of adolescents: the TRAILS study. Journal of Child Psychology and Psychiatry 51, 304312.CrossRefGoogle Scholar
Keenan, K, Feng, X, Hipwell, A and Klostermann, S (2009) Depression begets depression: comparing the predictive utility of depression and anxiety symptoms to later depression. Journal of Child Psychology and Psychiatry 50, 11671175.CrossRefGoogle Scholar
Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR and Walters, EE (2005) Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Archives of General Psychiatry 62, 593602.CrossRefGoogle Scholar
Kline, RB (2015) Principles and Practice of Structural Equation Modeling, 4th Edn. New York: Guilford Press.Google Scholar
Kotov, R, Waszczuk, MA, Krueger, RF, Forbes, MK, Watson, D, Clark, LA, Achenbach, TM, Althoff, RR, Ivanova, MY, Michael Bagby, R, Brown, TA, Carpenter, WT, Caspi, A, Moffitt, TE, Eaton, NR, Forbush, KT, Goldberg, D, Hasin, D, Hyman, SE, Lynam, DR, Samuel, DB, South, SC, Markon, K, Miller, JD, Morey, LC, Mullins-Sweatt, SN, Ormel, J, Patrick, CJ, Regier, DA, Rescorla, L, Ruggero, CJ, Sellbom, M, Simms, LJ, Skodol, AE, Slade, T, Tackett, JL, Waldman, ID, Widiger, TA, Wright, AGC and Zimmerman, M (2017) The hierarchical taxonomy of psychopathology (HiTOP): a dimensional alternative to traditional nosologies. Journal of Abnormal Psychology 126, 454477.CrossRefGoogle Scholar
Kröner-Herwig, B, Morris, L, Heinrich, M, Gassmann, J and Vath, N (2009) Agreement of parents and children on characteristics of pediatric headache, other pains, somatic symptoms, and depressive symptoms in an epidemiologic study. Clinical Journal of Pain 25, 5864.CrossRefGoogle Scholar
Lee, KS and Vaillancourt, T (2018) Body mass index, peer victimization, and body dissatisfaction across 7 years of childhood and adolescence: evidence of moderated and mediated pathways. Developmental Science 22, e12734.Google Scholar
Lee, KS and Vaillancourt, T (2019) Unraveling the long-term links among adolescent peer victimization and somatic symptoms: a 5-year multi-informant cohort study. Journal of Applied Biobehavioral Research, e12166.Google Scholar
Lereya, ST, Copeland, WE, Costello, EJ and Wolke, D (2015) Adult mental health consequences of peer bullying and maltreatment in childhood: two cohorts in two countries. The Lancet Psychiatry 2, 524531.CrossRefGoogle Scholar
Lieb, R, Zimmermann, P, Friis, RH, Höfler, M, Tholen, S and Wittchen, HU (2002) The natural course of DSM-IV somatoform disorders and syndromes among adolescents and young adults: a prospective-longitudinal community study. European Psychiatry 17, 321331.CrossRefGoogle Scholar
Lindert, J, Von Ehrenstein, OS, Grashow, R, Gal, G, Braehler, E and Weisskopf, MG (2014) Sexual and physical abuse in childhood is associated with depression and anxiety over the life course: systematic review and meta-analysis. International Journal of Public Health 59, 359372.CrossRefGoogle Scholar
Long, EE, Young, JF and Hankin, BL (2018) Temporal dynamics and longitudinal co-occurrence of depression and different anxiety syndromes in youth: evidence for reciprocal patterns in a 3-year prospective study. Journal of Affective Disorders 234, 2027.CrossRefGoogle Scholar
Long, EE, Young, JF and Hankin, BL (2019) Separating within-person from between-person effects in the longitudinal co-occurrence of depression and different anxiety syndromes in youth. Journal of Research in Personality 81, 158167.CrossRefGoogle Scholar
Lorant, V, Deliège, D, Eaton, W, Robert, A, Philippot, P and Ansseau, M (2003) Socioeconomic inequalities in depression: a meta-analysis. American Journal of Epidemiology 157, 98112.CrossRefGoogle Scholar
Makol, BA, De Los Reyes, A, Ostrander, RS and Reynolds, EK (2019) Parent-youth divergence (and convergence) in reports of youth internalizing problems in psychiatric inpatient care. Journal of Abnormal Child Psychology 47, 113.CrossRefGoogle Scholar
Marmot, MG (2005) Social determinants of health inequalities. Lancet 365, 10991104.CrossRefGoogle Scholar
McLaughlin, KA and King, K (2014) Developmental trajectories of anxiety and depression in early adolescence. Journal of Abnormal Child Psychology 43, 311323.CrossRefGoogle Scholar
McManus, S, Bebbington, P, Jenkins, R and Brugha, T (2014) Mental Health and Wellbeing in England: Adult Psychiatric Morbidity Survey 2014. Leeds: NHS Digital.Google Scholar
McNeish, DM (2014) Analyzing clustered data with OLS regression: the effect of a hierarchical data structure. Multiple Linear Regression Viewpoints 40, 1116.Google Scholar
Moffitt, TE, Harrington, H, Caspi, A, Kim-Cohen, J, Goldberg, D, Gregory, AM and Poulton, R (2007) Depression and generalized anxiety disorder. Archives of General Psychiatry 64, 651.CrossRefGoogle Scholar
Muthén, LK and Muthén, BO (2017) Mplus User's Guide, 8th Edn. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nemeroff, CB (2002) Comorbidity of mood and anxiety disorders: the rule, not the exception. American Journal of Psychiatry 159, 14.CrossRefGoogle Scholar
Parker, G, Wilhelm, K and Asghari, A (1997) Early onset depression: the relevance of anxiety. Social Psychiatry and Psychiatric Epidemiology 32, 3037.CrossRefGoogle Scholar
Parker, G, Wilhelm, K, Mitchell, P, Austin, M-P, Roussos, J and Gladstone, G (1999) The influence of anxiety as a risk to early onset major depression. Journal of Affective Disorders 52, 1117.CrossRefGoogle Scholar
Reijntjes, A, Kamphuis, JH, Prinzie, P and Telch, MJ (2010) Peer victimization and internalizing problems in children: a meta-analysis of longitudinal studies. Child Abuse and Neglect 34, 244252.CrossRefGoogle Scholar
Reynolds, CR and Kamphaus, RW (2004) Behavior Assessment System for Children, 2nd Edn. Minneapolis: Pearson.Google Scholar
Rueter, MA, Scaramella, L, Wallace, LE and Conger, RD (1999) First onset of depressive or anxiety disorders predicted by the longitudinal course of internalizing symptoms and parent-adolescent disagreements. Archives of General Psychiatry 56, 726732.CrossRefGoogle Scholar
Satorra, A and Bentler, PM (2001) A scaled difference chi-square test statistic for moment structure analysis. Psychometrika 66, 507514.CrossRefGoogle Scholar
Shanahan, L, Zucker, N, Copeland, WE, Bondy, CL, Egger, HL and Costello, EJ (2015) Childhood somatic complaints predict generalized anxiety and depressive disorders during young adulthood in a community sample. Psychological Medicine 45, 17211730.CrossRefGoogle Scholar
Simms, LJ, Prisciandaro, JJ, Krueger, RF and Goldberg, DP (2012) The structure of depression, anxiety and somatic symptoms in primary care. Psychological Medicine 42, 1528.CrossRefGoogle Scholar
Singham, T, Viding, E, Schoeler, T, Arseneault, L, Ronald, A, Cecil, CM, McCrory, E, Rijsdijk, F and Pingault, JB (2017) Concurrent and longitudinal contribution of exposure to bullying in childhood to mental health: the role of vulnerability and resilience. JAMA Psychiatry 74, 11121119.CrossRefGoogle Scholar
Solberg, ME and Olweus, D (2003) Prevalence estimation of school bullying with the Olweus Bully/Victim Questionnaire. Aggressive Behavior 29, 239268.CrossRefGoogle Scholar
Truglio, R, Seroczynski, AD, Peeke, LG, Martin, JM and Cole, DA (2005) A longitudinal look at the relation between depression and anxiety in children and adolescents. Journal of Consulting and Clinical Psychology 66, 451460.Google Scholar
Vaillancourt, T, Trinh, V, McDougall, P, Duku, E, Cunningham, L, Cunningham, C, Hymel, S and Short, K (2010) Optimizing population screening of bullying in school-aged children. Journal of School Violence 9, 233250.CrossRefGoogle Scholar
Vaillancourt, T, Brittain, HL, McDougall, P and 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.CrossRefGoogle Scholar
Walsh, CA, MacMillan, HL, Trocmé, N, Jamieson, E and Boyle, MH (2008) Measurement of victimization in adolescence: development and validation of the Childhood Experiences of Violence Questionnaire. Child Abuse and Neglect 32, 10371057.CrossRefGoogle Scholar
Waters, E, Doyle, J, Wolfe, R, Wright, M, Wake, M and Salmon, L (2000) Influence of parental gender and self-reported health and illness on parent-reported child health. Pediatrics 106, 14221428.CrossRefGoogle Scholar
Youngstrom, E, Loeber, R and Stouthamer-Loeber, M (2000) Patterns and correlates of agreement between parent, teacher, and male adolescent ratings of externalizing and internalizing problems. Journal of Consulting and Clinical Psychology 68, 10381050.CrossRefGoogle Scholar
Supplementary material: File

Lee and Vaillancourt supplementary material

Lee and Vaillancourt supplementary material

Download Lee and Vaillancourt supplementary material(File)
File 71.4 KB