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Originalia

Die gemeinsamen und spezifischen Komponenten von Depression und Angst

Überprüfung eines Modells zur Faktorenstruktur depressiver und ängstlicher Symptome und deren Beziehung zu Affekt

Published Online:https://doi.org/10.1026/1616-3443/a000225

Theoretischer Hintergrund: Mit Fragebögen erfasste Depressions- und Angstwerte sind häufig hoch korreliert. Nach dem Tripartite Modell von Clark und Watson (1991) ist diese Kovariation auf die gemeinsame Komponente negativer Affekt zurückzuführen. Eine bessere Differenzierung depressiver und ängstlicher Symptome sei über den depressionsspezifischen geringen positiven Affekt und das angstspezifische physiologische Hyperarousal möglich. Fragestellung: Ziel dieser Studie ist die Überprüfung dieses Modells und die Bestimmung übergeordneter angst- und depressionsspezifischer Faktoren. Methode: Die Evaluation des Modells erfolgte anhand von Fragebögen zu Depression, Angst und Affekt an einer Stichprobe von 1 110 gesunden Erwachsenen (48 % weiblich; Alter: M = 25.43; SD = 6.07). Ergebnisse: Eine Hauptachsenanalyse erbrachte eine zweifaktorielle Lösung, welche sich ebenfalls in den Strukturgleichungsmodellen abbildete und die Konstrukte Depression und Angst repräsentiert. Beide Faktoren waren mit negativem Affekt assoziiert, nur die Komponente Depression war durch das Fehlen von positivem Affekt gekennzeichnet. Die angstspezifische Komponente Hyperarousal konnte nicht nachgewiesen werden. Schlussfolgerungen: Implikationen für weiterführende Studien, insbesondere hinsichtlich der Weiterentwicklung des Modells, werden diskutiert.


Common and specific components of depression and anxiety. Evaluation of a factor model of depressive and anxious symptoms and their relation to affect

Background: Self-report measures of anxiety and depression are often strongly interrelated. According to the tripartite model of Clark and Watson (1991) , this covariation can be mostly explained by the underlying common factor negative affect. A more accurate differentiation between symptoms of depression and anxiety seems possible by taking into account low positive affect, which is unique to depression, and physiological hyperarousal, which is unique to anxiety. Question: The aim of this study is the evaluation of this model and the identification of higher order factors related to anxiety and depression. Methods: To evaluate this model, self-report measures of depression, anxiety, and affect were collected within a sample of 1,110 healthy adults (48 % women, age: M = 25.43; SD = 6.07). Results: A factor analysis provided a 2-factor solution, representing the constructs depression and anxiety. This solution was supported by a structural equation model. Both factors were associated with negative affect, although the factor depression was characterized by the absence of positive affect. The supposed anxiety-specific factor hyperarousal could not be identified. Conclusion: Implications for further studies are discussed, particularly concerning continued refinement of the model.

Literatur

  • Ahrens, A. H. & Haaga, D. A. F. (1993). The specificity of attributional style and expectations to positive and negative affectivity, depression and anxiety. Cognitive Therapy and Research, 17, 83 – 98. First citation in articleCrossrefGoogle Scholar

  • Alpers, G. W. & Pauli, P. (2001). Angstsensitivitäts-Index. Julius-Maximilians-Universität Würzburg. First citation in articleGoogle Scholar

  • Arbuckle, J. L. (2006). Amos (Version 7.0) [Computer Programm]. Chicago: SPSS. First citation in articleGoogle Scholar

  • Blais, M. A. , Otto, M. W. , Zucker, B. G. , McNally, R. J. , Schmidt, N. B. , Fava, M. , et al. (2001). The Anxiety Sensitivity Index: Item analysis and suggestions for refinement. Journal of Personality Assessment, 77, 272 – 294. First citation in articleCrossrefGoogle Scholar

  • Borkovec, T. D. , Ray, W. J. & Stöber, J. (1998). Worry: A cognitive phenomenon intimately linked to affective, physiological, and interpersonal behavioral processes. Cognitive Therapy and Research, 22, 561 – 576. First citation in articleCrossrefGoogle Scholar

  • Brady, E. U. & Kendall, P. C. (1992). Comorbidity of anxiety and depression in children and adolescents. Psychological Bulletin, 111, 244 – 255. First citation in articleCrossrefGoogle Scholar

  • Brown, T. A. , Chorpita, B. F. & Barlow, D. H. (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, 179 – 192. First citation in articleCrossrefGoogle Scholar

  • Buckby, J. A. , Cotton, S. M. , Cosgrave, E. M. , Killackey, E. J. & Yung, A. R. (2008). A factor analytic investigation of the Tripartite Model of affect in a clinical sample of young Australians. BMC Psychiatry, 8, 79. doi:10.1186/1471-244X-8 – 79. First citation in articleCrossrefGoogle Scholar

  • Burns, D. D. & Eidelson, R. J. (1998). Why are depression and anxiety correlated? A test of the Tripartite Model. Journal of Consulting and Clinical Psychology, 66, 461 – 473. First citation in articleCrossrefGoogle Scholar

  • Chambless, D. L. , Caputo, G. C. , Bright, B. & Gallagher, R. (1984). Assessment of fear of fear in agoraphobics: The Body Sensations Questionnaire and the Agoraphobic Cognitions Questionnaire. Journal of Consulting and Clinical Psychology, 52, 1090 – 1097. First citation in articleCrossrefGoogle Scholar

  • Chorpita, B. F. (2002). The Tripartite Model and dimensions of anxiety and depression: An examination of structure in a large school sample. Journal of Abnormal Child Psychology, 30, 177 – 190. First citation in articleCrossrefGoogle Scholar

  • Chorpita, B. F. , Daleiden, E. L. , Moffitt, C. , Yim, L. & Umemoto, L. A. (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, 141 – 160. First citation in articleCrossrefGoogle Scholar

  • Clark, L. A. & Watson, D. (1991). Tripartite Model of Anxiety and Depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316 – 336. First citation in articleCrossrefGoogle Scholar

  • Clark, L. A. , Watson, D. & Mineka, S. (1994). Temperament, personality, and the mood and anxiety disorders. Journal of Abnormal Psychology, 103, 103 – 116. First citation in articleCrossrefGoogle Scholar

  • Cole, D. A. , Truglio, R. & Peeke, L. G. (1997). Relation between symptoms of anxiety and depression in children: A multitrait-multimethod-multigroup assessment. Journal of Consulting and Clinical Psychology, 65, 110 – 119. First citation in articleCrossrefGoogle Scholar

  • Cook, J. M. , 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, 444 – 451. First citation in articleCrossrefGoogle Scholar

  • Cox, B. J. , Enns, M. W. , Walker, J. R. , Kjernisted, K. & Pitlubny, S. R. (2001). Psychological vulnerabilities in patients with major depression vs panic disorder. Behaviour Research and Therapy, 39, 567 – 573. First citation in articleCrossrefGoogle Scholar

  • Crook, K. , Beaver, B. & Bell, M. (1998). Anxiety and depression in children: A preliminary examination of the utility of the PANAS-C. Journal of Psychopathology and Behavioral Assessment, 20, 333 – 350. First citation in articleCrossrefGoogle Scholar

  • Dyck, M. J. , Jolly, J. B. & Kramer, T. (1994). An evaluation of positive affectivity, negative affectivity, and hyperarousal as markers for assessing between syndrome relationships. Personality and Individual Difference, 17, 637 – 646. First citation in articleCrossrefGoogle Scholar

  • Ehlers, A. & Margraf, J. (2001). Fragebogen zu körperbezogenen Ängsten, Kognitionen und Vermeidung. Manual. Göttingen: Beltz Test GmbH. First citation in articleGoogle Scholar

  • Fydrich, T. (1999). SPAI–Soziale Phobie und Angst Inventar. Deutschsprachige Adaption des „Social Phobia and Anxiety Inventory” von Turner und Beidel. Unveröffentlichtes Manuskript, Psychologisches Institut der Universität Heidelberg. First citation in articleGoogle Scholar

  • Gotlib, I. H. & Cane, D. B. (1989). Self-report assessment of depression and anxiety. In P. C. Kendall & D. Watson (Eds.), Anxiety and depression: Distinctive and overlapping features (pp. 131 – 169). San Diago, CA: Academic Press. First citation in articleGoogle Scholar

  • Hautzinger, M. & Bailer, M. (1992). Allgemeine Depressionsskala. Manual. Göttingen: Beltz Test GmbH. First citation in articleGoogle Scholar

  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrica, 30, 179 – 185. First citation in articleCrossrefGoogle Scholar

  • Hughes, A. A. , Heimberg, R. G. , Coles, M. E. , Gibb, B. E. , Liebowitz, M. R. & Schneider, F. R. (2006). Relations of the factors of the Tripartite Model of Anxiety and Depression to types of social anxiety. Behaviour Research and Therapy, 44, 1629 – 1641. First citation in articleCrossrefGoogle Scholar

  • Jaques, H. A. K. & Mash, E. J. (2004). A test of the Tripartite Model of Anxiety and Depression in elementary and high school boys and girls. Jourmal of Abnormal Child Psychology, 32, 13 – 25. First citation in articleCrossrefGoogle Scholar

  • Joiner, T. E. , Jr. (1996). A confirmatory factor-analytic investigation of the Tripartite Model of Depression and Anxiety in college students. Cognitive Therapy and Research, 20, 521 – 539. First citation in articleCrossrefGoogle Scholar

  • Joiner, T. E. , Jr. & Lonigan, C. J. (2000). Tripartite Model of Depression and Anxiety in youth psychiatric inpatients: Relations with diagnostic statues and future symptoms. Journal of Clinical Child Psychology, 29, 372 – 382. First citation in articleCrossrefGoogle Scholar

  • Kemper, C. J. , Ziegler, M. & Taylor, S. (2009). Überprüfung der psychometrischen Qualität der deutschen Version des Angstsensitivitätsindex-3. Diagnostica, 55, 223 – 233. First citation in articleLinkGoogle Scholar

  • Keogh, E. & Reidy, J. (2000). Exploring the factor structure of the Mood and Anxiety Symptom Questionnaire (MASQ). Journal of Personality Assessment, 74, 106 – 125. First citation in articleCrossrefGoogle Scholar

  • Krohne, H. W. , Egloff, B. , Kohlmann, C. W. & Tausch, A. (1996). Untersuchungen mit einer deutschen Version der „Positive and Negative Affect Schedule” (PANAS). Diagnostica, 42, 139 – 156. First citation in articleGoogle Scholar

  • Laurent, J. , Catanzaro, S. J. & Joiner, T. E. (2004). Development and preliminary validation of the Physiological Hyperarousal Scale for children. Psychological Assessment, 16, 373 – 380. First citation in articleCrossrefGoogle Scholar

  • Laux, L. , Glanzmann, P. , Schaffner, P. & Spielberger, C. D. (1981). Das State-Trait-Angstinventar. Weinheim: Beltz First citation in articleGoogle Scholar

  • Lecrubier, Y. , Sheehan, D. , Weiller, E. , Amorim, P. , Bonora, I. , Sheehan, K. et al. (1997). The Mini International Neuropsychiatric Interview (M.I.N.I.), a short diagnostic interview: Reliability and validity according to the CIDI. European Psychiatry 12, 224 – 231. First citation in articleCrossrefGoogle Scholar

  • Lonigan, C. J. , Hooe, E. S. , David, C. F. & Kistner, J. A. (1999). Positive and negative affectivity in children: Confirmatory factor analysis of a two-factor model and its relation to symptoms of anxiety and depression. Journal of Consulting and Clinical Psychology, 67, 374 – 386. First citation in articleCrossrefGoogle Scholar

  • Marshall, G. N. , Sherbourne, C. D. , Meredith, L. S. , Camp, P. & Hays, R. D. (2003). The Tripartite Model of Anxiety and Depression: Symptom structure in depressive and hypertensive patient groups. Journal of Personality Assessment, 80, 139 – 153. First citation in articleCrossrefGoogle Scholar

  • Meyer, T. J. , Miller, M. L. , Metzger, R. L. & Borkovec, T. D. (1990). Development and validation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28, 487 – 495. First citation in articleCrossrefGoogle Scholar

  • Mineka, S. , Watson, D. W. & Clark, L. A. (1998). Psychopathology: Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology, 49, 377 – 412. First citation in articleCrossrefGoogle Scholar

  • Ollendick, T. H. , Seligman, L. D. , Goza, A. B. , Byrd, D. A. & Singh, K. (2003). Anxiety and depression in children and adolescents: A factor-analytic examination of the Tripartite Model. Journal of Child and Family Studies, 12, 157 – 170. First citation in articleCrossrefGoogle Scholar

  • Reiss, S. (1991). Expectancy model of fear, anxiety, and panic. Clinical Psychology Review, 11, 141 – 153. First citation in articleCrossrefGoogle Scholar

  • Reiss, S. , Peterson, R. A. , Gursky, D. M. & McNally, R. J. (1986). Anxiety sensitivity, anxiety frequency and the prediction of fearfulness. Behaviour Research and Therapy, 24, 1 – 8. First citation in articleCrossrefGoogle Scholar

  • Reynolds, C. R. & Richmond, B. O. (1985). Revised Children’s Manifest Anxiety Scale. RCMAS. Manual. Los Angeles: Western Psychological Services. First citation in articleGoogle Scholar

  • Schermelleh-Engel, K. , Moosburger, H. & Müller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23 – 74. First citation in articleGoogle Scholar

  • Schmidt, N. B. , Lerew, D. R. & Jackson, R. J. (1999). Prospective evaluation of anxiety sensitivity in the pathogenesis of Panic: Replication and extension. Journal of Abnormal Psychology, 108, 532 – 537. First citation in articleCrossrefGoogle Scholar

  • Schmidt, N. B. , Zvolensky, M. J. & Maner, J. K. (2006). Anxiety sensitivity: Prospective prediction of panic attacks and Axis I pathology. Journal of Psychiatric Research, 40, 691 – 699. First citation in articleCrossrefGoogle Scholar

  • Seligman, L. D. & Ollendick, T. H. (1998). Comorbidity of anxiety and depression in children and adolescents: An integrative review. Clinical Child and Family Psychology Review, 1, 125 – 144. First citation in articleCrossrefGoogle Scholar

  • Stark, K. D. & Laurent, J. (2001). Joint factor analysis of the Childrens′s Depression Inventory and the Revised Children′s Manifest Anxiety Scale. Journal of Clinical Child Psychology, 30, 552 – 567. First citation in articleCrossrefGoogle Scholar

  • Steer, R. A. , Clark, D. A. , Beck, A. T. & Ranieri, W. F. (1995). Common and specific dimensions of self-reported anxiety and depression: A replication. Journal of Abnormal Psychology, 104, 542 – 545. First citation in articleCrossrefGoogle Scholar

  • Stöber, J. (1995). Besorgnis: Ein Vergleich dreier Inventare zur Erfassung allgemeiner Sorgen. Zeitschrift für Differentielle und Diagnostische Psychologie, 16, 50 – 63. First citation in articleGoogle Scholar

  • Taylor, S. , Zvolensky, M. J. , Cox, B. J. , Deacon, B. , Heimberg, R. G. , Ledley, D. R. et al. (2007). Robust dimensions of anxiety sensitivity: Development and initial validation of the Anxiety Sensitivity Index-3. Psychological Assessment, 19, 176 – 188. First citation in articleCrossrefGoogle Scholar

  • Teachman, B. A. , Siedlecki, K. L. & Magee, J. C. (2007). Aging and symptoms of anxiety and depression: structural invariance of the tripartite model. Psychology and Aging, 22, 160 – 170. First citation in articleCrossrefGoogle Scholar

  • Tully, P. J. , Zajac, I. T. & Venning, A. J. (2009). The structure of anxiety and depression in a normative sample of younger and older australian adolescents. Journal of Abnormal Child Psychology, 37, 717 – 726. First citation in articleCrossrefGoogle Scholar

  • Turner, C. M. & Barrett, P. M. (2003). Does age play a role in the structure of anxiety and depression in children and youths? An investigation of the Tripartite Model in three age cohorts. Journal of Consulting and Clinical Psychology, 71, 826 – 833. First citation in articleCrossrefGoogle Scholar

  • Turner, S. M. , Beidel, D. C. , Dancu, C. V. & Stanley, M. A. (1989). An empirically derived inventory to measure social fears and anxiety: The Social Phobia and Anxiety Inventory (SPAI). Psychological Assessment: Journal of Consulting and Clinical Psychology, 1, 35 – 40. First citation in articleCrossrefGoogle Scholar

  • Watson, D. & Clark, L. A (1984). Negative affectivity: The disposition to experience aversive emotional states. Psychological Bulletin, 96, 465 – 490. First citation in articleCrossrefGoogle Scholar

  • Watson, D. , Clark, L. A. & Carey, G. (1988). Positive and negative affectivity and their relation to anxiety and depressive disorders. Journal of Abnormal Psychology, 97, 346 – 353. First citation in articleCrossrefGoogle Scholar

  • Watson, D. , Clark, L. A. & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063 – 1070. First citation in articleCrossrefGoogle Scholar

  • Watson, D. , Clark, L. A. , Weber, K. , Assenheimer, J. S. , Strauss, M. E. & McCormick, R. A. (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, 15 – 25. First citation in articleCrossrefGoogle Scholar

  • Watson, D. , Weber, K. , Assenheimer, J. S. , Clark, L. E. , Strauss, M. E. & McCormick, R. A. (1995). Testing a Tripartite Model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales. Journal of Abnormal Psychology, 104, 3 – 14. First citation in articleCrossrefGoogle Scholar

  • Wheaton, M. G. , Deacon, B. J. , McGrath, P. B. , Berman, N. C. & Abramowitz, J. S. (2012). Dimenstions of anxiety sensitivity in the anxiety disorders: Evaluation of the ASI-3. Journal of Anxiety Disorders, 26, 401 – 408. First citation in articleCrossrefGoogle Scholar