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Dimension-specific symptom patterns in trajectories of broad anxiety: A longitudinal prospective study in school-aged children

Published online by Cambridge University Press:  28 January 2019

Johan Ahlen*
Affiliation:
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Ata Ghaderi
Affiliation:
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
*
Author for correspondence: Johan Ahlen, Department of Clinical Neuroscience (CNS), Karolinska Institutet, K8, Psychology Ghaderi, Nobels Väg 9, 171 77Stockholm, Sweden; E-mail: [email protected]

Abstract

Theories of maladaptive anxiety in children have suggested different developmental trajectories across age. Weems (2008) suggested that one subgroup of children demonstrates high and stable levels of broad anxiety, but shifting levels of dimension-specific symptoms in part due to related normative challenges. In a prospective longitudinal design, the current study examined patterns of dimension-specific anxiety symptoms in subgroups of children following different developmental trajectories of broad anxiety. A total of 300 children (150 girls, 150 boys) ages 8–11 at baseline, completed the Spence Children's Anxiety Scale four times over 3 years. Using latent class growth mixture modeling, we found evidence of three subgroups of children following different trajectories of broad anxiety across age: low-stable, moderate-increasing, and high-decreasing. Compared with other children, the subgroup with moderate and increasing levels of broad anxiety demonstrated an initially higher level of separation anxiety with larger improvement across time but, initially, similar levels of generalized and social anxiety with a larger increase across age. High broad anxiety was partly carried by different sets of dimension-specific symptoms at different ages, which suggests that children with high levels of broad anxiety across time may be more sensitive to normative challenges that happen in typical child development.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2019

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References

Ahlen, J., Hursti, T., Tanner, L., Tokay, Z., & Ghaderi, A. (2018). Prevention of anxiety and depression in Swedish school children: A Cluster-randomized effectiveness study. Prevention science, 19(2), 147158. doi:10.1007/s11121-017-0821-1CrossRefGoogle ScholarPubMed
Ahlen, J., Lenhard, F., & Ghaderi, A. (2015). Universal prevention for anxiety and depressive symptoms in children: A meta-analysis of randomized and cluster-randomized trials. The Journal of Primary Prevention, 36, 387403. doi:10.1007/s10935-015-0405-4CrossRefGoogle ScholarPubMed
Ahlen, J., Lenhard, F., & Ghaderi, A. (2018). Long-term outcome of a cluster-randomized universal prevention trial targeting anxiety and depression in school children. Behavior Therapy, https://doi.org/10.1016/j.beth.2018.05.003Google ScholarPubMed
Ahlen, J., Vigerland, S., & Ghaderi, A. (2017). Development of The Spence Children's Anxiety Scale – Short Version (SCAS-S). Journal of Psychopathology and Behavioral Assessment (in press). doi:10.1007/s10862-017-9637-3Google 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, 589600. doi:10.1007/s10802-013-9806-0CrossRefGoogle ScholarPubMed
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.Google Scholar
Aune, T., & Stiles, T. C. (2009). Universal-based prevention of syndromal and subsyndromal social anxiety: A randomized controlled study. Journal of Consulting and Clinical Psychology, 77, 867. doi:10.1037/a0015813CrossRefGoogle ScholarPubMed
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). LME4: Linear mixed-effects models using Eigen and S4. R Package Version, 1, 123.Google Scholar
Baxter, A. J., Vos, T., Scott, K. M., Ferrari, A. J., & Whiteford, H. A. (2014). The global burden of anxiety disorders in 2010. Psychological Medicine, 44, 23632374. doi:10.1017/S0033291713003243CrossRefGoogle ScholarPubMed
Bittner, A., Egger, H. L., Erkanli, A., Costello, E. J., Foley, D. L., & Angold, A. (2007). What do childhood anxiety disorders predict? Journal of Child Psychology and Psychiatry, 48, 11741183. doi:10.1111/j.1469-7610.2007.01812.xCrossRefGoogle ScholarPubMed
Blackford, J. U., & Pine, D. S. (2012). Neural substrates of childhood anxiety disorders: A review of neuroimaging findings. Child and Adolescent Psychiatric Clinics of North America, 21, 501525. doi:10.1016/j.chc.2012.05.002CrossRefGoogle ScholarPubMed
Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference understanding AIC and BIC in model selection. Sociological Methods & Research, 33, 261304. doi:10.1177/0049124104268644CrossRefGoogle Scholar
Cisler, J. M., & Koster, E. H. (2010). Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review. Clinical Psychology Review, 30, 203216. doi:10.1016/j.cpr.2009.11.003CrossRefGoogle Scholar
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, 837844. doi:10.1001/archpsyc.60.8.837CrossRefGoogle ScholarPubMed
Creswell, C., & O'Connor, T. G. (2011). Interpretation bias and anxiety in childhood: Stability, specificity and longitudinal associations. Behavioural and Cognitive Psychotherapy, 39, 191204. doi:10.1017/S1352465810000494CrossRefGoogle ScholarPubMed
Crocetti, E., Klimstra, T., Keijsers, L., Hale III, W. W., & Meeus, W. (2009). Anxiety trajectories and identity development in adolescence: A five-wave longitudinal study. Journal of Youth and Adolescence, 38, 839849. doi:10.1007/s10964-008-9302-yCrossRefGoogle ScholarPubMed
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, 361373. doi:10.1017/S0954579410000118CrossRefGoogle Scholar
Dudeney, J., Sharpe, L., & Hunt, C. (2015). Attentional bias towards threatening stimuli in children with anxiety: A meta-analysis. Clinical Psychology Review, 40, 6675. doi:10.1016/j.cpr.2015.05.007CrossRefGoogle ScholarPubMed
Ebesutani, C., Reise, S. P., Chorpita, B. F., Ale, C., Regan, J., Young, J., … Weisz, J. R. (2012). The Revised Child Anxiety and Depression Scale–Short Version: Scale reduction via exploratory bifactor modeling of the broad anxiety factor. Psychological Assessment, 24, 833845. doi:10.1037/a0027283CrossRefGoogle ScholarPubMed
Essau, C. A., Conradt, J., & Petermann, F. (2000). Frequency, comorbidity, and psychosocial impairment of anxiety disorders in German adolescents. Journal of Anxiety Disorders, 14, 263279. doi:10.1016/S0887-6185(99)00039-0CrossRefGoogle ScholarPubMed
Essau, C. A., Sasagawa, S., Anastassiou-Hadjicharalambous, X., Guzmán, B. O., & Ollendick, T. H. (2011). Psychometric properties of the Spence Child Anxiety Scale with adolescents from five European countries. Journal of Anxiety Disorders, 25, 1927. doi:10.1016/j.janxdis.2010.07.001CrossRefGoogle ScholarPubMed
Feingold, A. (2013). A regression framework for effect size assessments in longitudinal modeling of group differences. Review of General Psychology, 17, 111121. doi:10.1037/a0030048CrossRefGoogle 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, 32. doi:10.1037/0021-843X.117.1.32CrossRefGoogle ScholarPubMed
Gadermann, A. M., Guhn, M., & Zumbo, B. D. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17, 113.Google Scholar
Hale, W. W., Raaijmakers, Q., Muris, P., & Meeus, W. (2008). Developmental trajectories of adolescent anxiety disorder symptoms: A 5-year prospective community study. Journal of the American Academy of Child & Adolescent Psychiatry, 47, 556564. doi:10.1097/CHI.0b013e3181676583CrossRefGoogle ScholarPubMed
Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59, 1219. doi:10.1037/0022-006X.59.1.12CrossRefGoogle ScholarPubMed
Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2, 302317. doi:10.1111/j.1751-9004.2007.00054.xCrossRefGoogle Scholar
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 593602. doi:10.1001/archpsyc.62.6.593CrossRefGoogle ScholarPubMed
Last, C. G., Perrin, S., Hersen, M., & Kazdin, A. E. (1996). A prospective study of childhood anxiety disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 35, 15021510. doi:10.1097/00004583-199611000-00019CrossRefGoogle ScholarPubMed
Last, C. G., Strauss, C. C., & Francis, G. (1987). Comorbidity among childhood anxiety disorders. Journal of Nervous and Mental Disease, 175, 726730. doi:10.1097/00005053-198712000-00004CrossRefGoogle ScholarPubMed
Lieb, R., Miché, M., Gloster, A. T., Beesdo-Baum, K., Meyer, A. H., & Wittchen, H. U. (2016). Impact of specific phobia on the risk of onset of mental disorders: A 10-year prospective-longitudinal community study of adolescents and young adults. Depression and Anxiety, 33, 667675. doi:10.1002/da.22487CrossRefGoogle ScholarPubMed
Lubke, G. H., Miller, P. J., Verhulst, B., Bartels, M., van Beijsterveldt, T., Willemsen, G., … Middeldorp, C. M. (2016). A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171, 948957. doi:10.1002/ajmg.b.32375CrossRefGoogle ScholarPubMed
Meesters, C., Muris, P., & van Rooijen, B. (2007). Relations of neuroticism and attentional control with symptoms of anxiety and aggression in non-clinical children. Journal of Psychopathology and Behavioral Assessment, 29, 149158. doi:10.1007/s10862-006-9037-6CrossRefGoogle Scholar
Muris, P., Merckelbach, H., Mayer, B., & Prins, E. (2000). How serious are common childhood fears? Behaviour Research and Therapy, 38, 217228. doi:10.1016/S0005-7967(98)00204-6CrossRefGoogle ScholarPubMed
Muris, P., Schmidt, H., & Merckelbach, H. (2000). Correlations among two self-report questionnaires for measuring DSM-defined anxiety disorder symptoms in children: The Screen for Child Anxiety Related Emotional Disorders and the Spence Children's Anxiety Scale. Personality and Individual Differences, 28, 333346. doi:10.1016/S0191-8869(99)00102-6CrossRefGoogle Scholar
Ollendick, T. H., & Grills, A. E. (2016). Perceived control, family environment, and the etiology of child anxiety—revisited. Behavior Therapy, 47, 633642. doi:10.1016/j.beth.2016.01.007CrossRefGoogle ScholarPubMed
Proust-Lima, C., Philipps, V., & Liquet, B. (2017). Estimation of extended mixed models using latent classes and latent processes: The R package lcmm. Journal of Statistical Software, 78(2), 156. doi:10.18637/jss.v078.i02CrossRefGoogle Scholar
R Core Team. (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/Google Scholar
Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667696. doi:10.1080/00273171.2012.715555CrossRefGoogle ScholarPubMed
Sanchez, A. L., Cornacchio, D., Poznanski, B., Golik, A. M., Chou, T., & Comer, J. S. (2018). The effectiveness of school-based mental health services for elementary-aged children: A meta-analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 57, 153165. doi:10.1016/j.jaac.2017.11.022CrossRefGoogle ScholarPubMed
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36, 545566. doi:10.1016/S0005-7967(98)00034-5CrossRefGoogle ScholarPubMed
Suveg, C., & Zeman, J. (2004). Emotion regulation in children with anxiety disorders. Journal of Clinical Child and Adolescent Psychology, 33, 750759. doi:10.1207/s15374424jccp3304_10CrossRefGoogle ScholarPubMed
The Swedish National Agency for Education. (2015). SIRIS. Retrieved from http://siris.skolverket.se/siris/f?p_Siris:1:0Google Scholar
Twisk, J., & Hoekstra, T. (2012). Classifying developmental trajectories over time should be done with great caution: A comparison between methods. Journal of Clinical Epidemiology, 65, 10781087. doi:10.1016/j.jclinepi.2012.04.010CrossRefGoogle ScholarPubMed
Verbeke, G., & Molenberghs, G. (2000). Linear mixed models for longitudinal data. New York: Springer.Google Scholar
Watson, D. (2005). Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology, 114, 522536. doi:10.1037/0021-843X.114.4.522CrossRefGoogle ScholarPubMed
Weems, C. F. (2008). Developmental trajectories of childhood anxiety: Identifying continuity and change in anxious emotion. Developmental Review, 28, 488502. doi:10.1016/j.dr.2008.01.001CrossRefGoogle Scholar
Weems, C. F., & Costa, N. M. (2005). Developmental differences in the expression of childhood anxiety symptoms and fears. Journal of the American Academy of Child & Adolescent Psychiatry, 44, 656663. doi:10.1097/01.chi.0000162583.25829.4bCrossRefGoogle ScholarPubMed
Weems, C. F., Graham, R. A., Scott, B. G., Banks, D. M., & Russell, J. D. (2013). Suppressor effects and age differences in the expression of anxious emotion. Personality and Individual Differences, 55, 283287. doi: 10.1016/j.paid.2013.02.007CrossRefGoogle Scholar
Westenberg, P. M., Gullone, E., Bokhorst, C. L., Heyne, D. A., & King, N. J. (2007). Social evaluation fear in childhood and adolescence: Normative developmental course and continuity of individual differences. British Journal of Developmental Psychology, 25, 471483. doi:10.1348/026151006X173099CrossRefGoogle Scholar