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Does irritability predict attention biases toward threat among clinically anxious youth?

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Abstract

Aberrant threat processing is a known cognitive characteristic of anxiety disorders and irritability. Youth with more severe symptomatology show greater allocation of attention towards threat relative to neutral stimuli. Although irritability contributes to poorer outcomes among anxious youths, irritability has not been considered as a contributing factor to threat processing in anxiety disorders. Thus, the current study examined the role of irritability in predicting attention biases for threat among clinically anxious youth. Our study included 84 clinically anxious youth (M = 9.31 years old, SD = 2.44) who completed a dot-probe task to determine attention biases. Anxiety disorders were assessed using semi-structured diagnostic interviews. Well validated measures were used to assess the severity of anxiety and irritability symptoms via child- and parent-report, respectively. Findings indicated that more severe irritability predicted greater attention biases toward threat among clinically anxious youth, covarying for age, anxiety severity, and the number of comorbid diagnoses. At a trend-level, anxiety severity also predicted attention bias for threat. Among clinically anxious youth, irritability severity was the strongest predictor of attention bias toward threat. Findings point to the salience of irritability, and to some extent anxiety severity, in relation to threat processing among youth with clinical anxiety disorders.

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Data availability

Due to the sensitive nature of the data, survey respondents were assured raw data would remain confidential.

Notes

  1. Recent CFA research indicates that irritability loads onto three items in the CBCL [45], however, in the current study, we followed previous attention bias research using the five item scale [14], which also had higher internal consistency in the sample.

Abbreviations

DMDD:

Disruptive mood dysregulation disorder

ADHD:

Attention deficit hyperactivity disorder

GAD:

Generalised anxiety disorder

ODD:

Oppositional defiant disorder

OCD:

Obsessive compulsive disorder

ADIS-P:

Anxiety disorders interview schedule: parent version

ADIS-C:

Anxiety disorders interview schedule: child version

SCAS-C:

Spence child anxiety scale-child report

CBCL:

Child behaviour checklist

RT:

Reaction time

References

  1. Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA (2015) Annual research review: a meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry 56:345–365. https://doi.org/10.1111/jcpp.12381

    Article  PubMed  Google Scholar 

  2. Rapee RM, Schniering CA, Hudson JL (2009) Anxiety disorders during childhood and adolescence: origins and treatment. Annu Rev Clin Psychol 5:311–341. https://doi.org/10.1146/annurev.clinpsy.032408.153628

    Article  PubMed  Google Scholar 

  3. Swan AJ et al (2018) Results from the child/adolescent anxiety multimodal longitudinal study (CAMELS). J Consult Clin Psychol 86:738–750. https://doi.org/10.1037/ccp0000334

    Article  PubMed  PubMed Central  Google Scholar 

  4. Swan AJ, Kendall PC (2016) Fear and missing out: youth anxiety and functional outcomes. Clin Psychol Sci Pract 23:417–435. https://doi.org/10.1111/cpsp.12169

    Article  Google Scholar 

  5. Abend R et al (2020) Converging multi-modal evidence for implicit threat-related bias in pediatric anxiety disorders. J Abnorm Child Psychol. https://doi.org/10.1007/s10802-020-00712-w

    Article  Google Scholar 

  6. Rosen D, Price RB, Silk JS (2019) An integrative review of the vigilance-avoidance model in pediatric anxiety disorders: are we looking in the wrong place? J Anxiety Disord 64:79–89. https://doi.org/10.1016/j.janxdis.2019.04.003

    Article  PubMed  Google Scholar 

  7. Waters AM, Craske MG (2016) Towards a cognitive-learning formulation of youth anxiety: a narrative review of theory and evidence and implications for treatment. Clin Psychol Rev 50:50–66. https://doi.org/10.1016/j.cpr.2016.09.008

    Article  PubMed  Google Scholar 

  8. Lisk S, Vaswani A, Linetzky M, Bar-Haim Y, Lau JYF (2019) Systematic review and meta-analysis: eye-tracking of attention to threat iin child and adolescent anxiety. J Am Acad Child Adolesc Psychiatry 59:88–99. https://doi.org/10.1016/j.jaac.2019.06.006

    Article  PubMed  Google Scholar 

  9. Waters AM, Bradley BP, Mogg K (2014) Biased attention to threat in paediatric anxiety disorders (generalized anxiety disorder, social phobia, specific phobia, separation anxiety disorder) as a function of ‘distress’ versus ‘fear’ diagnostic categorization. Psychol Med 44:607–616. https://doi.org/10.1017/S0033291713000779

    Article  CAS  PubMed  Google Scholar 

  10. Abend R et al (2018) Association between attention bias to threat and anxiety symptoms in children and adolescents. Depress Anxiety 35:229–238. https://doi.org/10.1002/da.22706

    Article  PubMed  Google Scholar 

  11. Waters AM, Henry J, Mogg K, Bradley BP (2010) Attentional bias towards angry faces in childhood anxiety disorders. J Behav Ther Exp Psychiatry 41:158–164. https://doi.org/10.1016/j.jbtep.2009.12.001

    Article  PubMed  Google Scholar 

  12. Shi R, Sharpe L, Abbott M (2019) A meta-analysis of the relationship between anxiety and attentional control. Clin Psychol Rev 72:101754. https://doi.org/10.1016/j.cpr.2019.101754

    Article  PubMed  Google Scholar 

  13. Dudeney J, Sharpe L, Hunt C (2015) Attentional bias towards threatening stimuli in children with anxiety: a meta-analysis. Clin Psychol Rev 40:66–75. https://doi.org/10.1016/j.cpr.2015.05.007

    Article  PubMed  Google Scholar 

  14. Salum GA et al (2017) Association between irritability and bias in attention orienting to threat in children and adolescents. J Child Psychol Psychiatry 58:595–602. https://doi.org/10.1111/jcpp.12659

    Article  PubMed  Google Scholar 

  15. Hommer RE et al (2014) Attention bias to threat faces in severe mood dysregulation. Depress Anxiety 31:559–565. https://doi.org/10.1002/da.22145

    Article  PubMed  Google Scholar 

  16. Kircanski K et al (2018) A latent variable approach to differentiating neural mechanisms of irritability and anxiety in youth. JAMA Psychiat 75:631–639. https://doi.org/10.1001/jamapsychiatry.2018.0468

    Article  Google Scholar 

  17. Leibenluft E (2017) Pediatric irritability: a systems neuroscience approach. Trends Cogn Sci 21:277–289. https://doi.org/10.1016/j.tics.2017.02.002

    Article  PubMed  PubMed Central  Google Scholar 

  18. Brotman MA, Kircanski K, Stringaris A, Pine DS, Leibenluft E (2017) Irritability in youths: a translational model. Am J Psychiatry 174:520–532. https://doi.org/10.1176/appi.ajp.2016.16070839

    Article  PubMed  Google Scholar 

  19. Shimshoni Y, Lebowitz ER, Brotman MA, Pine DS, Leibenluft E, Silverman WK (2019) Anxious-irritable children: a distinct subtype of childhood anxiety? Behav Ther. https://doi.org/10.1016/j.beth.2019.06.005

    Article  PubMed  PubMed Central  Google Scholar 

  20. Copeland WE, Brotman M, Costello J (2015) Normative irritability in youth: developmental findings from the Great Smoky Mountains study. J Am Acad Child Adolesc Psychiatry 54:635–642. https://doi.org/10.1016/j.jaac.2015.05.008

    Article  PubMed  PubMed Central  Google Scholar 

  21. Savage JS, Verhulst B, Copeland WE, Althoff RR, Lichtenstein P, Roberson-Nay R (2015) A genetically informed study of the longitudinal relation between irritability and anxious/depressed symptoms. J Am Acad Child Adolesc Psychiatry 54:377–384. https://doi.org/10.1016/j.jaac.2015.02.010

    Article  PubMed  PubMed Central  Google Scholar 

  22. Copeland WE, Shanahan L, Egger H, Angold A, Costello J (2014) Adult diagnostic and functional outcomes of DSM-5 disruptive mood dysregulation disorder. Am J Psychiatry 171:668–674. https://doi.org/10.1176/appi.ajp.2014.13091213

    Article  PubMed  PubMed Central  Google Scholar 

  23. Elvin OM, Modecki KL, Finch J, Donnolley K, Farrell LJ, Waters AM (2021) Joining the pieces in childhood irritability: distinct typologies predict conduct, depressive, and anxiety symptoms. Behav Res Ther. https://doi.org/10.1016/j.brat.2020.103779

    Article  PubMed  Google Scholar 

  24. American Psychological Association (2000) Diagnostic and statistical manual of mental disorders: DSM-5. American Psychiatric Publishing, Washington, DC

    Google Scholar 

  25. Cornacchio D, Crum KI, Coxe S, Pincus DB, Comer JS (2016) Irritability and severity of anxious symptomatology among youth with anxiety disorders. J Am Acad Child Adolesc Psychiatry 55:54–61. https://doi.org/10.1016/j.jaac.2015.10.007

    Article  PubMed  Google Scholar 

  26. Comer JS, Pincus DB, Hofmann SG (2012) Generalized anxiety disorder and the proposed associated symptoms criterion change for DSM-5 in a treatment-seeking sample of anxious youth. Depress Anxiety 29:994–1003

    Article  PubMed  PubMed Central  Google Scholar 

  27. Stoddard J, Stringaris A, Brotman MA, Montville D, Pine DS, Leibenluft E (2014) Irritability in child and adolescent anxiety disorders. Depress Anxiety 31:566–573. https://doi.org/10.1002/da.22151

    Article  PubMed  Google Scholar 

  28. Pettit JW et al (2020) A randomized controlled trial of attention bias modification treatment in youth with treatment-resistant anxiety disorders. J Am Acad Child Adolesc Psychiatry 59:157–165. https://doi.org/10.1016/j.jaac.2019.02.018

    Article  PubMed  Google Scholar 

  29. Waters AM, Pittaway M, Mogg K, Bradley BP, Pine DS (2013) Attention training towards positive stimuli in clinically anxious children. Dev Cogn Neurosci 4:77–84. https://doi.org/10.1016/j.dcn.2012.09.004

    Article  PubMed  Google Scholar 

  30. Axelson D et al (2012) Examining the proposed disruptive mood dysregulation disorder diagnosis in children in the Longitudinal Assessment of Manic Symptoms study. J Clin Psychiatry 73:1342–1350. https://doi.org/10.4088/JCP.12m07674

    Article  PubMed  PubMed Central  Google Scholar 

  31. Copeland WE, Angold A, Costello J, Egger H (2013) Prevalence, comorbidity, and correlates of DSM-5 proposed disruptive mood dysregulation disorder. Am J Psychiatry 170:173–179. https://doi.org/10.1176/appi.ajp.2012.12010132

    Article  PubMed  PubMed Central  Google Scholar 

  32. Waters AM, Zimmer-Gembeck MJ, Craske MG, Pine DS, Bradley BP, Mogg K (2015) Look for good and never give up: a novel attention training treatment for childhood anxiety disorders. Behav Res Ther 73:111–123. https://doi.org/10.1016/j.brat.2015.08.005

    Article  PubMed  Google Scholar 

  33. Waters AM et al (2014) Augmenting one-session treatment of children’s specific phobias with attention training to positive stimuli. Behav Res Ther 62:107–119. https://doi.org/10.1016/j.brat.2014.07.020

    Article  PubMed  Google Scholar 

  34. Daniel AE (1983) Power, priviledge and prestige. Longman Cheshire, Melbourne

    Google Scholar 

  35. Silverman WK, Albano AM (1996) The anxiety disorders interview schedule for children for DSM-IV: (child and parent versions). Psychological Corporation, San Antonio

    Google Scholar 

  36. Silverman WK, Pina AA, Viswesvaran C (2008) Evidence-based psychosocial treatments for phobic and anxiety disorders in children and adolescents. J Clin Child Adolesc Psychol 37:105–130. https://doi.org/10.1080/15374410701817907

    Article  PubMed  Google Scholar 

  37. Waters AM, Forrest K, Peters R-M, Bradley BP, Mogg K (2014) Attention bias to emotional information in children as a function of maternal emotional disorders and maternal attention biases. J Behav Ther Exp Psychiatry 46:158–163. https://doi.org/10.1016/j.jbtep.2014.10.002

    Article  Google Scholar 

  38. Spence SH (1998) A measure of anxiety symptoms among children. Behav Res Ther 36:545–566. https://doi.org/10.1016/S0005-7967(98)00034-5

    Article  CAS  PubMed  Google Scholar 

  39. Brown-Jacobsen AM, Wallace DP, Whiteside SPH (2011) Multimethod, multi-informant agreement, and positive predictive value in the identification of child anxiety disorders using the SCAS and ADIS-C. Assessment 18:382–392. https://doi.org/10.1177/1073191110375792

    Article  PubMed  Google Scholar 

  40. Achenbach T, Rescorla L (2001) Manual for the ASEBA school-age forms & profiles. University of Vermont Department of Psychiatry, Burlington

    Google Scholar 

  41. Nakamura BJ, Ebesutani C, Bernstein A, Chorpita BF (2009) A Psychometric analysis of the child behavior checklist DSM-oriented scales. J Psychopathol Behav Assess 31:178–189. https://doi.org/10.1007/s10862-008-9119-8

    Article  Google Scholar 

  42. Wiggins JL, Mitchell C, Stringaris A, Leibenluft E (2014) Developmental trajectories of irritability and bidirectional associations with maternal depression. J Am Acad Child Adolesc Psychiatry 53:1191–1205. https://doi.org/10.1016/j.jaac.2014.08.005

    Article  PubMed  PubMed Central  Google Scholar 

  43. Cohen J, Cohen P, West SG, Aiken LS (2002) Applied multiple regression/correlation analysis for the behavioral sciences, 3rd edn. Lawrence Erlbaum Associates Publishers, New York

    Google Scholar 

  44. Dormann CF et al (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27–46

    Article  Google Scholar 

  45. Evans SC, Bonadio FT, Bearman SK, Ugueto AM, Chorpita BF, Weisz JR (2019) Assessing the irritable and defiant dimensions of youth oppositional behavior using CBCL and YSR items. J Clin Child Adolesc Psychol 49:804–819. https://doi.org/10.1080/15374416.2019.1622119

    Article  PubMed  Google Scholar 

  46. De Los Reyes A, Augenstein TM, Wang M, Thomas SA, Drabick DG, Burgers DE, Rabinowitz J, Albarracín D (2015) The validity of the multi-informant approach to assessing child and adolescent mental health. Psychol Bull 141:858–900. https://doi.org/10.1037/a0038498

    Article  PubMed Central  Google Scholar 

  47. Reut Naim MA et al (2015) Threat-related attention bias variability and posttraumatic stress. Am J Psychiatry 172:1242–1250. https://doi.org/10.1176/appi.ajp.2015.14121579

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This research was supported by funding awarded to Professor Allison Waters by Griffith University and the Australian Research Council (DP120101678 and FT130101330).

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Correspondence to Olivia M. Elvin or Allison M. Waters.

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The authors have no conflicts of interest to declare.

Ethical approval

The study was approved by the University Human Research Ethics Committee (PSY/03/09/HREC; PSY/C4/11/HREC). Informed consent/assent was provided by both parents and children.

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Elvin, O.M., Waters, A.M. & Modecki, K.L. Does irritability predict attention biases toward threat among clinically anxious youth?. Eur Child Adolesc Psychiatry 32, 1435–1442 (2023). https://doi.org/10.1007/s00787-022-01954-3

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