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Tripartite Model of Anxiety and Depression

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Watson and Clark (1991) proposed the Tripartite Model of Anxiety and Depression to help explain the comorbidity between anxious and depressive symptoms and disorders.[1] This model divides the symptoms of anxiety and depression into three groups: negative affect, positive affect and physiological hyperarousal.[1][2][3] These three sets of symptoms help explain common and distinct aspects of depression and anxiety.[2]

The ability to distinguish between anxiety and depression with this model may help increase diagnostic accuracy and help eliminate the complications that occur with comorbidity.[4][5] According to Clark, depressed patients have a comorbidity rate of 57% for any anxiety disorder.[6] Other studies in youth have revealed comorbidity rates of anxiety and depression as high as 70%.[7] There are many negative effects of anxiety-depression comorbidity.[8] The negative effects of comorbidity include: chronicity, recovery and relapse rates, and higher suicide risk.[6] Among youth samples, negative effects of anxiety-depression comorbidity include: increased substance abuse, more likely to attempt suicide, receive a diagnosis of conduct disorder, and are less likely to show favorable gains from treatment.[4]

Factors

Negative affect

Main article: Negative affectivity

Negative affect is the factor that is common to both anxiety and depression. Negative affect can be defined as, "the extent to which an individual feels upset or unpleasantly engaged, rather than peaceful".[1] It involves negative mood states such as subjective distress, fear, disgust, scorn, and hostility.[9] Mood states that are specific to depression include sadness and loneliness that have large factor loadings on negative affect.[9] Some common symptoms of negative affect include: insomnia, restlessness, irritability, and poor concentration.[10]

There is a substantial amount of empirical research on negative affect (NA) and its role in the tripartite model. For example, the Mood and Anxiety Symptom Questionnaire (MASQ)[10] was administered to a sample of college students and a sample of psychiatric patients. The correlations between the specific anxiety scale (anxious arousal) in the MASQ and NA were moderate (rs= .41 and .47), supporting that NA is specific to anxiety disorders, congruent with the tripartite model.[10] Another study consisted of a sample of children (ages 7–14) diagnosed with a principal anxiety disorder. The children completed the Positive and Negative Affect Scale for Children (PANAS-C).[10] The results showed NA was significantly associated with measure of anxiety and depression.[10] A study by Chorpita in 2002, was consistent with the tripartite model. In a large sample of school-aged children, NA was positively correlated with all anxiety and depression scales.[10]

Physiological hyperarousal

Physiological hyperarousal is defined by increased activity in the sympathetic nervous system, in response to threat.[11] Physiological hyperarousal is unique to anxiety disorders.[2][12] Some symptoms of physiological hyperarousal include: shortness of breath, feeling dizzy or lightheaded, dry mouth, trembling or shaking, and sweaty palms.[13][14]

Compared to negative affect and positive affect, physiological hyperarousal has been studied less.[15][1] Chorpita et al. (2000), proposed an affect and arousal scale in order to measure the tripartite factors of emotion in children and adolescents. In this study, physiological hyperarousal was positively correlated with negative affect but not positive affect. This supports the tripartite model hypothesis, that physiological hyperarousal will distinguish anxiety from depression, which is related to positive affect.[15] Another study by Joiner et al. (1999), analyzed the construct validity of physiological hyperarousal. Data were collected from samples of psychotherapy outpatients, air force cadets, and undergraduate students. Confirmatory factor analyses showed that psychological hyperarousal is a reliable, replicable, valid, and discriminable construct.[16]

Positive affect

Main article: Positive affectivity

Positive affect is a dimension that reflects one's level of pleasurable engagement with their environment.[17][13] High positive affect is made up of enthusiasm, energy level, mental alertness, interest, joy, social dominance, adventurousness, and activeness.[9][13][1] In contrast, a low level of positive affect, or absence of, is called anhedonia.[18] Anhedonia is described as the loss of interest or the inability to experience pleasure when experiencing things that used to be pleasurable.[19] Low levels of positive affect in the Tripartite Model characterize depression.[13][18] Signs of low positive affect include fatigue, loneliness, sadness, and lethargy.[13] Positive affect is important because it is a construct used in order to differentiate depression from anxiety.[1][20]

Many studies were completed to evaluate the role of positive affect in the tripartite model. A sample of university students were administered the Positive and Negative Affective Schedule (PANAS), the Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI). The results of this study were congruent with low Positive Affect predicting depression.[20] A longitudinal study was completed with a sample of students in grade 6 and later grade 9. The students completed the Baltimore How I Feel (BHIF), a measure of anxious and depressive symptoms. This study confirmed the PA aspect of the tripartite model.[21] A study with a sample of inpatient children/adolescents was consistent with the tripartite model as well.[18] Findings from a study in 2006 of a community sample of youth supported the tripartite in youth and further supported that anxiety and depression do represent unique syndromes in youth based on differences found in positive affect.[22] Many studies looked at samples of youth but studies were also done with older adult samples. A study consisting of psychiatric outpatients, ages 55–87, confirmed that positive affect was significantly more related to depression than anxiety symptoms.[23]

Measures

PANAS

The Positive and Negative Affect Schedule (PANAS) was developed by Watson, Clark, and Tellegen in 1988.[24] This scale is brief, easy to administer, and is used to measure positive affect and negative affect.[25] The scale uses 20 adjectives that describe different moods ranging from excited to upset. There are 10 positive affect adjectives and 10 negative affect adjectives. Individuals are asked to rate each adjective on a 5-point scale (1 – very slightly or not at all to 5 – extremely) based on how they feel. The time frame in which they make these ratings varies based on the study.[26][25]

MASQ

Watson and Clark established the 90-item Mood and Anxiety Symptom Questionnaire (MASQ).[2] The MASQ consists of five subscales that measure: mixed general distress symptoms (GD: Mixed, 15 items), general distress depressive symptoms (GD: Depression, 12 items), general distress anxiety symptoms (GD: Anxiety, 11 items), anxious arousal symptoms (Anxious Arousal, 17 items) and anhedonic depression symptoms (Anhedonic Depression, 22 items).[27] All individual items are rated on a scale 1 to 5, where 1 (not at all) indicates the individual has not felt this way at all during the past week and 5 (extremely) indicates that they have felt this way extremely.[28]

References

  1. ^ a b c d e f Anderson, E., & HOPE, D. (2008). A review of the tripartite model for understanding the link between anxiety and depression in youth. Clinical Psychology Review, 28(2), 275-287. doi:10.1016/j.cpr.2007.05.004
  2. ^ a b c d Clark, L., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316-336. doi:10.1037/0021-843X.100.3.316
  3. ^ Brown, T., Chorpita, B., & Barlow, D. (1998). Structural relationships among dimensions of the DSM-IV anxiety and mood disorders and dimensions of negative affect, positive affect, and autonomic arousal. Journal of Abnormal Psychology, 107(2), 179-192. doi:10.1037/0021-843X.107.2.179
  4. ^ a b Gaylord Harden, N., Elmore, C., Campbell, C., & Wethington, A. (2011). An examination of the tripartite model of depressive and anxiety symptoms in African American youth: Stressors and coping strategies as common and specific correlates. Journal of Clinical Child and Adolescent Psychology, 40(3), 360-374. doi:10.1080/15374416.2011.563467
  5. ^ Kendall, P., Kortlander, E., Chansky, T., & Brady, E. (1992). Comorbidity of anxiety and depression in youth: Treatment implications. Journal of Consulting and Clinical Psychology, 60(6), 869-880. doi:10.1037/0022-006X.60.6.869
  6. ^ a b Mineka, S. (1998). Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology, 49, 377. doi:10.1146/annurev.psych.49.1.377
  7. ^ Zahn Waxler, C. (2000). Internalizing problems of childhood and adolescence: Prospects, pitfalls, and progress in understanding the development of anxiety and depression. Development and Psychopathology, 12(3), 443-466. doi:10.1017/S0954579400003102
  8. ^ Brown, C. (1996). Treatment outcomes for primary care patients with major depression and lifetime anxiety disorders. The American Journal of Psychiatry, 153(10), 1293. doi:10.1176/ajp.153.10.1293
  9. ^ a b c Watson, D., Clark, L., & Carey, G. (1988). Positive and negative affectivity and their relation to anxiety and depressive disorders. Journal of Abnormal Psychology, 97(3), 346-353. doi:10.1037/0021-843X.97.3.346
  10. ^ a b c d e f Watson, David; Weber, Kris; Assenheimer, Jana Smith; Clark, Lee Anna; Strauss, Milton E.; McCormick, Richard A. (1995). "Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales". Journal of Abnormal Psychology. 104 (1): 3–14. doi:10.1037/0021-843X.104.1.3. ISSN 1939-1846.
  11. ^ Gencoz, F. (2000). Physiological hyperarousal as a specific correlate of symptoms of anxiety among young psychiatric inpatients. Social Behavior and Personality, 28(4), 409. doi:10.2224/sbp.2000.28.4.409
  12. ^ Hughes, A., & Kendall, P. (2009). Psychometric properties of the positive and negative affect scale for children (PANAS-C) in children with anxiety disorders. Child Psychiatry Human Development, 40(3), 343-352. doi:10.1007/s10578-009-0130-4
  13. ^ a b c d e Watson, D., Clark, L., Weber, K., & Assenheimer, J. (1995). Testing a tripartite model: II. exploring the symptom structure of anxiety and depression in student, adult, and patient samples. Journal of Abnormal Psychology, 104(1), 15-25. doi:10.1037/0021-843X.104.1.15
  14. ^ Laurent, J., Catanzaro, S., & Joiner, T. (2004). Development and preliminary validation of the physiological hyperarousal scale for children. Psychological Assessment, 16(4), 373-380. doi:10.1037/1040-3590.16.4.373
  15. ^ a b Chorpita, B., Daleiden, E., Moffitt, C., Yim, L., & Umemoto, L. (2000). Assessment of tripartite factors of emotion in children and adolescents I: Structural validity and normative data of an affect and arousal scale. Journal of Psychopathology and Behavioral Assessment, 22(2), 141-160. doi:10.1023/A:1007584423617
  16. ^ Joiner, T., Steer, R., Beck, A., Schmidt, N., Rudd, M. D., & Catanzaro, S. (1999). Physiological hyperarousal: Construct validity of a central aspect of the tripartite model of depression and anxiety. Journal of Abnormal Psychology, 108(2), 290-298. doi:10.1037/0021-843X.108.2.290
  17. ^ Clark, D., Steer, R., & Beck, A. (1994). Common and specific dimensions of self-reported anxiety and depression: Implications for the cognitive and tripartite models. Journal of Abnormal Psychology, 103(4), 645-654. doi:10.1037/0021-843X.103.4.645
  18. ^ a b c Joiner, T., Catanzaro, S., & Laurent, J. (1996). Tripartite structure of positive and negative affect, depression, and anxiety in child and adolescent psychiatric inpatients. Journal of Abnormal Psychology, 105(3), 401-409. doi:10.1037/0021-843X.105.3.401
  19. ^ Ho, N., & Sommers, M. (2013). Anhedonia: A concept analysis. Archives of Psychiatric Nursing, 27(3), 121-129. doi:10.1016/j.apnu.2013.02.001
  20. ^ a b Gençöz, T. (2002). Discriminant validity of low positive affect: Is it specific to depression? Personality and Individual Differences, 32(6), 991-999. doi:10.1016/S0191-8869(01)00103-9
  21. ^ Lambert, S., McCreary, B., Joiner, T., Schmidt, N., & Ialongo, N. (2004). Structure of anxiety and depression in urban youth: An examination of the tripartite model. Journal of Consulting and Clinical Psychology, 72(5), 904-908. doi:10.1037/0022-006X.72.5.904
  22. ^ Cannon, M., & Weems, C. (2006). Do anxiety and depression cluster into distinct groups?: A test of tripartite model predictions in a community sample of youth. Depression and Anxiety, 23(8), 453-460. doi:10.1002/da.20215
  23. ^ Cook, J., Orvaschel, H., Simco, E., Hersen, M., & Joiner, T. (2004). A test of the tripartite model of depression and anxiety in older adult psychiatric outpatients. Psychology and Aging, 19(3), 444-451. doi:10.1037/0882-7974.19.3.444
  24. ^ Watson, D. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063. doi:10.1037/0022-3514.54.6.1063
  25. ^ a b Laurent, J., & Ettelson, R. (2001). An examination of the tripartite model of anxiety and depression and its application to youth. Clinical Child and Family Psychology Review, 4(3), 209-230. doi:10.1023/A:1017547014504
  26. ^ Mehrabian, A. (1997). Comparison of the PAD and PANAS as models for describing emotions and for differentiating anxiety from depression. Journal of Psychopathology and Behavioral Assessment, 19(4), 331-357. doi:10.1007/BF02229025
  27. ^ Reidy, J., & Keogh, E. (1997). Testing the discriminant and convergent validity of the mood and anxiety symptoms questionnaire using a British sample. Personality and Individual Differences, 23(2), 337-344. doi:10.1016/S0191-8869(97)00048-2
  28. ^ Schalet, B., Cook, K., Choi, S., & Cella, D. (2014). Establishing a common metric for self-reported anxiety: Linking the MASQ, PANAS, and GAD-7 to PROMIS anxiety. Journal of Anxiety Disorders, 28(1), 88-96. doi:10.1016/j.janxdis.2013.11.006
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