Submit manuscript...
Journal of
eISSN: 2373-6445

Psychology & Clinical Psychiatry

Research Article Volume 1 Issue 5

Negative Affectivity is Common to Pediatric Behavioral Health Problems

Simone Behar, Micaela A Thordarson, Robert D Friedberg, Nathan Chow

Center for the Study and Treatment of Anxious Youth at Palo Alto University, USA

Correspondence: Robert D Friedberg, Center for the Study and Treatment of Anxious Youth, Palo Alto University, 1791 Arastrasdero Rd., Palo Alto, CA. 94022, USA, Tel 650-961-7503(17)

Received: October 08, 2014 | Published: October 15, 2014

Citation: Behar S, Thordarson MA, Friedberg RD, Chow N (2014) Negative Affectivity is Common to Pediatric Behavioral Health Problems. J Psychol Clin Psychiatry 1(5): 00033. DOI: 10.15406/jpcpy.2014.01.00033

Download PDF

Abstract

A significant number of youth in the United States experience mental illness; within these youth, comorbidity is considered the rule, not the exception. Rather than treat each disorder distinctly, recent research examines common psychopathological processes shaping various presenting problems to simultaneously target deficits and excesses. Contemporary research hypothesizes that negative affectivity pervades multiple psychiatric problems in youth. The present study sought to examine negative affectivity in an intent-to-treat sample of young patients presenting at an outpatient clinic in an academic medical center. Young patients (n=54) with internalizing disorders, externalizing disorders, or both completed the Children’s Depression Inventory and the Screen for Childhood Anxiety and Related Emotional Disorders. MANOVA results indicated no significant difference between the groups. Additionally, no gender differences were found. Findings suggest negative affectivity is a core feature of psychopathology in general, and thus a valuable focus for transdiagnostic treatments.

Introduction

Childhood disorders are frequently characterized dichotomously into internalizing and externalizing symptoms. However, co-morbidity is the rule rather than the exception in child psychopathology.1 Theories that explain comorbidity often focus on the overlap between criteria for disorders and similar etiologies. Negative affectivity is a construct that characterizes multiple disorders.2‒5 More specifically, negative affectivity is seen as a general distress factor marked by a tendency to experience negative emotions such as worry, anxiety, fear, sadness, and guilt.6‒8

A strong predisposition to experience negative emotionality is common to youth with internalizing, externalizing or both difficulties.9 Children diagnosed with externalizing disorders such as attention deficit hyperactivity disorder and oppositional defiant disorder also similarly present with accompanying with anxiety, sadness, and anger. Mc Burnett et al.,10 found that negative affectivity is prevalent in children with conduct problems. Finally, personal emotional distress is correlated with acting-out behavior in youth.11 The cascade of lifelong mental health problems may be accounted for somewhat by the functional interference of childhood psychopathology marked by high levels of negative affectivity. Regardless of type of disorder, children experience distress and this dysphoria represents a pervasive hindrance to relationships and achievement.12

Negative affectivity is a key concept for both psychotherapeutic and psychopharmacological interventions. Medicines such as SSRIs are prescribed for both anxiety and depression suggesting they target a common neurochemical basis for negative affectivity shared by both disorders. Additionally, focusing on managing negative affectivity forms the basis for the emerging transdiagnostic unified protocol for children.13 Thus, both pharmacological and psychosocial treatments recognize the utility of directing treatment at negative affectivity. The field of clinical psychology is alertly shifting towards transdiagnostic approaches that target common areas of impairment across disorders.14,15 Understanding the fundamental ties between disorders can inform the creation of transdiagnostic treatments.

This present study evaluated the presence of negative affectivity in children presenting to an outpatient behavioral health clinic with various clinical problems. It was hypothesized that children challenged with internalizing problems characterized by depression and anxiety will report greater negative affectivity than their counterparts experiencing externalizing difficulties. Secondarily, female patients were expected to score higher on measures of depression and anxiety than their male peers.

Material and methods

Participants

The participants represented a convenience intent-to-treat sample. 54 patients (Male n=37, female n=17) treated at a pediatric behavioral health outpatient clinic in an academic medical center were included in the study. The patients were predominantly Euro-American (92%). Their ages ranged from eight to fifteen years (M=11.24, SD=1.96). The children completed the measures at their initial appointment as part of their routine care.

Instruments

Screen for Child Anxiety Related Emotional Disorders (SCARED; 16). The SCARED is a forty-one item scale covering the basic symptoms of anxiety in children. Each item is scored on a three point scale (0,1,2) with higher scores representing greater endorsement of symptoms. The scale range is 0-82 for the overall score with scores of 25 or greater indicating the presence of clinically significant anxiety. There are five orthogonal factors (panic/somatic, generalized anxiety, separation anxiety, social anxiety, and school refusal) each with their own cut-off scores. Psychometric studies support good internal consistency, test-retest reliability, and discriminant validity.16‒20

The Children’s Depression Inventory (CDI).21,22 The CDI is a widely used 27 item self-report inventory which assesses cognitive, behavioral, physiological, and emotional symptoms of depression. Each item is scored on a three point scale (0,1,2) with higher scores reflecting greater severity. The scale yields a total score CDI ranging from 0-54. In addition to the total score, the measure yields five orthogonal factors (negative self-esteem, negative mood, interpersonal difficulties, ineffectiveness, and anhedonia. Several reports suggested a cut off score for overall depression of 13 21,22. The CDI possesses strong psychometric properties.22

Procedure

This study is a posthoc static group comparison and was approved by the Institutional Review Board (IRB) of the academic medical center. The children were sorted into three groups based on their presenting problems: internalizing (n=33) (anxiety, depression, OCD, etc), externalizing (n=10) (ODD, Conduct Disorder, ADHD, Autism Spectrum, etc), or mixed internalizing/externalizing (n=11) (e.g. patients with co-morbid internalizing and externalizing difficulties). Diagnoses were determined through semi-structured clinical interviews by individual clinicians treating each case. All participants completed the CDI and SCARED at their initial session for outpatient psychotherapy as part of their routine care. SCARED factor scores (panic/somatic, generalized anxiety, separation anxiety, social anxiety, and school refusal) and CDI factor scores (negative mood, interpersonal difficulties, ineffectiveness, anhedonia, and negative self-esteem) were recorded along with children’s age, ethnicity, and gender. Results from the SCARED and CDI were not determinative in the diagnosis.

Results and discussion

Gender Differences: Independent sample t-tests were conducted to examine gender differences in self-reported anxiety and depression. As (Table 1) reveals, no significant differences were found for gender on the CDI (Male Mean = 10.9; Female Mean=9.0) nor on the SCARED (Male Mean =25.19; Female Mean =25.47). The level of self-reported anxiety in this clinical sample did not differ by gender and therefore gender was not instrumental in determining differences between diagnostic groups.

Dependent Variable

df

Mean Square

F-Value

Significance Level

SCARED

2,51

382.7

2.145

0.13

Panic

2,51

44.6

2.4

0.1

GAD

2,51

23.2

1.6

0.21

Sep Anx

2,51

31.3

2.3

0.11

Soc Anx

2,51

10.1

0.6

0.55

Sch Ref

2,51

0.59

0.19

0.83

CDI

2,51

42.2

0.87

0.42

Neg Mood

2,51

4.3

..99

0.38

Int. Prob

2,51

2.6

2.44

0.1

Ineffect

2,51

1.74

0.53

0.6

Anhed

2,51

7.9

1.8

0.18

Neg Esteem

2,51

6

1.52

0.23

Table 1 MANOVA results for CDI/SCARED Total and Factor Scores

Negative affectivity in multiple disorders: A Multivariate Analysis of Variance (MANOVA) was applied to the data to provide a conservative test of the hypothesis. MANOVA analyses test variability in multiple related dependent variables simultaneously while controlling for Type I Error. A conservative test was chosen due to the small sample size and to obviate the need for multiple statistical tests. As (Table 2) reveals, no significant differences were found among the three diagnostic groups on the SCARED (Internalizing Mean=28.3, SD=13.3; Externalizing Mean=20.1, SD=14.3; Mixed Int/Ext Mean=21; SD=12.7), CDI total scores (Internalizing Mean=11.2; SD=7.4; Externalizing Mean=9.9, SD=6.8; Mixed Internal/External Mean=8.09, SD=6.8) or any factor scores on the measures.

Measure

Mean

Standard Deviation

t-value

Significance Level

SCARED

-0.07

0.95

Male

25. 19

13.19

Female

25.47

14.99

CDI

0.97

0.34

Male

11

7.1

Female

9

6.5

 

 

Table 2 Gender differences on the CDI and SCARED

No statistically significant differences were found between the three groups. However, results showed that children with any disorder, internalizing or externalizing, reported elevated symptoms on the CDI and SCARED indicating significant presence of negative affectivity in multiple presenting problems. Chorpita and Daleiden23 found that measures of negative affectivity significantly predicted the presence of any disorder, regardless of its categorization as internalizing, externalizing, or other. The results of this study lend further support to this conclusion and suggest that emotional regulation of negative affect could be an ideal treatment target for interventions with children.

Conclusion

When looking at youth with internalizing and externalizing problems, all three groups exhibited statistically similar scores on the CDI and SCARED. This indicates that children’s self-reports of anxiety and depression did not vary as a function of their presenting complaints. The presence of elevated scores across diagnoses also suggests that both the CDI and SCARED are sensitive to the negative affect expressed by children with varying disorders. These findings are consistent with the literature previously reviewed9‒12 and accordingly support the presence of negative affectivity regardless of type of disorder.

Further, no gender differences were found. Male and female children in the study reported clinically significant levels of anxiety with similar standard deviations. Similarly, CDI scores averaged below recommended clinical thresholds regardless of gender.

Limitations and future directions

This study was conducted with a small sample size and unequal numbers in each comparison cell. Perhaps, larger samples and equivalent cell sizes would yield statistically significant differences. The sample was also predominantly Caucasian and restricts generalizability of conclusions. Since this was a convenience intent-to-treat sample, there were no inter-rater reliability checks on individual clinicians’ diagnoses. Thus, future studies are well advised to include larger more diverse clinical samples and inter-rater reliability checks on diagnoses/presenting problems.

Acknowledgments

None.

Conflicts of interest

Author declares there are no conflicts of interest.

Funding

None.

References

  1. Thomas CR, Holzer CE 3rd. The continuing shortage of child and adolescent psychiatrists. J Am Acad Child Adolesc Psychiatry. 2006;45(9):1023‒1031.
  2. Lee CM, Horvath C, Hunsley J. Does it work in the real world? The effectiveness of treatments for psychological problems in children and adolescents. Professional Psychology: Research and Practice. 2013;44(2):81‒88.
  3. Goldsmith SK, Pellmar TC, Kleinman AM, et al. Reducing suicide: A national imperative. National Academies Press, Washington, USA. 2002.
  4. Beck AT, Freeman A, Davis DD. Cognitive therapy of personality disorders. (2nd edn), The Guilford Press, New York, USA. 2006. p. 412.
  5. Schmid M, Petermann F, Fegert JM. Developmental trauma disorder: Pros and cons of including formal criteria in the psychiatric diagnostic systems. BMC Psychiatry. 2013;13(3):1‒12.
  6. Swart J, Apsche J. Family mode deactivation therapy (FMDT) mediation analysis. International Journal of Behavioral Consultation and Therapy. 2014;9(1):1‒13.
  7. Hudson JI, Mangweth B, Pope HG Jr, et al. Family study of affective spectrum disorder. Arch Gen Psychology. 2003; 60(2):170‒177.
  8. Cloitre M, Stolbach BC, Herman JL, et al. A developmental approach to complex PTSD: Childhood and adult cumulative trauma as predictors of symptom complexity. J Trauma Stress. 2009;22(5):399‒408.
  9. Beck AT. Thinking and depression. I. Idiosyncratic content and cognitive distortions. Arch Gen Psychiatry. 1963;9:324‒333.
  10. Beck AT. Thinking and depression. II. Theory and therapy. Arch Gen Psychiatry. 1963;10:561‒571.
  11. Beck AT. Beyond belief: A theory of modes, personality, and psychotherapy. In: PM Salkovaskis (Ed.), Frontiers of cognitive therapy. The Guilford Press, New York, USA. 1996. p.1‒25.
  12. Beck AT, Haigh EA. Advances in cognitive theory and therapy: the generic cognitive model. Annu Rev Clin Psychol. 2014;10:1‒24.
  13. Apsche JA. Theories and modes. International Journal of Behavioral Consultation and Therapy. 2005;1(1): 52‒55.
  14. Zgierska A, Rabago D, Chawla N, et al. Mindfulness meditation for substance use disorders: A systematic review. Subst Abus. 2009;30(4):266‒294.
  15. Hart W. The art of living: Vipassana meditation as taught by S. N. Goenka. HarperCollins Publishers, New York, USA. 1987.
  16. Linehan MM . Validation and psychotherapy. In: Bohart AC & Greenberg LS (Eds.), Empathy reconsidered: New directions in psychotherapy. American Psychological Association, Washington. 1997. p.353‒392.
  17. Hoffman SG, Sawyer AT, Fang A. The empirical status of the “new wave” of cognitive behavioral therapy. Psychiatr Clin North Am. 2010;33(3):701‒710.
  18. Bass CK, Van Nevel JM, Swart J. A comparison between Dialectical Behavior Therapy, Mode Deactivation Therapy, Cognitive Behavioral Therapy, and Acceptance and Commitment Therapy in the treatment of adolescents. International Journal of Behavioral Consultation and Therapy. 2014;9(2): 4‒8.
  19. Hunt C, Andrews G. Drop-out rate as a performance indicator in psychotherapy. Acta Psychiatr Scand. 1992;85(4):275‒278.
  20. Epp AM, Dobson KS. The evidence base for cognitive-behavioral therapy. In: Dobson KS (Ed.), Handbook of cognitive-behavioral therapies, (3rd edn), New York, Guilford Press. 2010. p.39‒73.
  21. Salmoiraghi A, Sambhi R. Early termination of cognitive-behavioral interventions: literature review. The Psychiatric Bulletin. 2010;34(12):529‒532.
  22. Stangier U, Hilling C, Heidenreich T, et al. Maintenance cognitive-behavioral therapy and manualized psychoeducation in the treatment of recurrent depression: A multicenter prospective randomized controlled trial. Am J Psychiatry. 2013;170(6):624‒632.
  23. Kennard BD, Emslie GJ, Mayes TL, et al. Cognitive-behavioral therapy to prevent relapse in pediatric responders to pharmacotherapy for major depressive disorders. J Am Acad Child Adolesc Psychiatry. 2008;47(12):1395‒1404.
  24. Geller B, Craney JL, Bolhofner K, et al. One-year recovery and relapse rates of children with a prepubertal and early adolescent bipolar disorder phenotype. Am J Psychiatry. 2001;158(2):303‒305.
  25. Cornelius JR, Maisto SA, Pollock NK, et al. Rapid relapse generally follows treatment for substance use disorders among adolescents. Addict Behav. 2003;28(2):381‒386.
  26. Apsche JA. A summary of published mode deactivation therapy articles. International Journal of Behavioral Consultation and Therapy. 2006;2(3):439‒456.
  27. Apsche JA, Bass CK, Zeiter JS, et al. Family mode deactivation therapy in a residential setting: Treating adolescents with conduct disorder and multi-axial diagnosis. International Journal of Behavioral Consultation and Therapy. 2009;4(4):328‒339.
  28. Swart J, Apsche J. Mode deactivation therapy meta-analysis: Reanalysis and interpretation. International Journal of Behavioral Consultation and Therapy. 2014;9(2):16‒21.
  29. Miller TR. The social costs of adolescent problem behavior. In Biglan A, et al. (Eds.), Helping adolescents at risk: prevention of multiple problem behaviors. The Guilford Press, New York. 2004. p.31‒56.
  30. Ministry of Justice. Youth justice statistics, 2012/13: England and Wales. London, UK. 2005.
  31. Swart J, Apsche JA.A comparative study of Mode Deactivation Therapy (MDT) as a superior treatment of adolescents with suicidal and parasuicidal behaviors. International Journal of Behavioral Consultation and Therapy 9(3) (inpress). 2014.
  32. Swart J, Apsche J. Family mode deactivation therapy (FMDT): A randomized controlled trial for adolescents with complex issues. International Journal of Behavioral Consultation and Therapy. 2014;9(1):14‒22.
  33. Swart J, Apsche JA. Mindfulness, mode deactivation, and family therapy: A winning combination for treating adolescents with complex trauma and behavioral problems. International Journal of Behavioral Consultation and Therapy. 2014;9(2):9‒14.
  34. Apsche JA, Bass CK. A treatment study of mode deactivation therapy in an outpatient community setting. International Journal of Behavior Consultation and Therapy. 2006;2(1):277‒285.
  35. Apsche JA, Bass CK, DiMeo L. Mode Deactivation Therapy (MDT): Comprehensive meta-analysis. Journal of Behavior Analysis of Offender and Victim Treatment and Prevention. 2010;2(3):171‒182.
Creative Commons Attribution License

©2014 Behar, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.