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Health Anxiety: Latent Structure and Associations with Anxiety-related Psychological Processes in a Student Sample

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Abstract

Although currently classified as a somatoform disorder, cognitive-behavioral models conceptualize hypochondriasis (HC) as a severe form of health anxiety. The Short Health Anxiety Inventory (SHAI) is a measure derived from this conceptualization that measures health anxiety symptoms across the range of severity. Previous studies have reported inconsistent findings regarding this measure’s factor structure, but these studies employed factor analytic tools that did not account for the categorical nature of SHAI items. The present psychometric study was designed to address these inconsistencies using categorical factor analysis. Using data from a large student sample we found that the SHAI had two factors: Illness Likelihood and Illness Severity. We also examined the relationship between these domains and cognitive variables associated with other anxiety disorders. Results suggested that the psychological processes present in obsessive-compulsive disorder and panic disorder are also associated with health anxiety. Implications for the conceptualization and classification of severe health anxiety are discussed.

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Notes

  1. For the purposes of this study, HC refers to health anxiety severe enough to meet criteria for a diagnosis of hypochodriasis, while health anxiety refers to the broader continuum of this construct.

References

  • Abramowitz, J. S., & Moore, E. L. (2007). An experimental analysis of hypochondriasis. Behaviour Research and Therapy, 45, 413–424.

    Article  PubMed  Google Scholar 

  • Abramowitz, J. S., Deacon, B. J., & Valentiner, D. P. (2007a). The short health anxiety inventory: psychometric properties and construct validity in a non-clinical sample. Cognitive Therapy and Research, 31, 871–883.

    Article  Google Scholar 

  • Abramowitz, J. S., Olatunji, B. O., & Deacon, B. J. (2007b). Health anxiety, hypochondriasis, and the anxiety disorders. Behavior Therapy, 38, 86–94.

    Article  Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th edition, text revision). Washington DC: Author.

    Google Scholar 

  • Asparouhov, T. & Muthén, B. (2007). Computationally efficient estimation of multilevel high-dimensional latent variable models. Proceedings of the 2007 JSM meeting in Salt Lake City, Utah, Section on Statistics in Epidemiology.

  • Barlow, D. H. (2002). Anxiety and its disorders: The nature and treatment of anxiety and panic (2nd ed.). New York: Guilford.

    Google Scholar 

  • Barsky, A., Wyshak, G., & Klerman, G. (1986). Hypochondriasis: an evaluation of the DSM-III criteria in medical outpatients. Archives of General Psychiatry, 43, 493–500.

    PubMed  Google Scholar 

  • Barsky, A. J., & Ahern, D. K. (2004). Cognitive behavior therapy for hypochondriasis: a randomized controlled trial. Journal of the American Medical Association, 291, 1464–1470.

    Article  PubMed  Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.

    Google Scholar 

  • Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing Structural Equation Models (pp 136-162). Newbury Park: Sage.

  • Cattell, R. B. (1978). The scientific use of factor analysis in the behavioral and life sciences. New York: Plenum.

    Google Scholar 

  • Chen, F., Curran, P., Bollen, K., Kirby, J., & Paxton, P. (2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods and Research, 36, 462–494.

    Article  PubMed  Google Scholar 

  • Cohen, J., & Cohen, P. (1983). Applied multiple regression and correlational analysis for the behavioral sciences. Hillsdale: L. Erlaum Associates.

    Google Scholar 

  • Coles, M. E., Cook, L., & Blake, T. (2007). Assessing obsessive-compulsive symptoms and cognitions on the internet: Evidence for the comparability of paper and Internet administration. Behaviour Research and Therapy, 45, 2232–2240.

    Article  PubMed  Google Scholar 

  • Cox, B., Borger, S., & Enns, M. (1999). Anxiety sensitivity and emotional disorders: Psychometric studies and their theoretical implications. In S. Taylor (Ed.), Anxiety sensitivity: Theory, research, and treatment of the fear of anxiety (pp. 115–148). Mahwah: Erlbaum.

    Google Scholar 

  • Deacon, B. J., & Abramowitz, J. S. (2008). Is hypochondriasis related to obsessive-compulsive disorder, panic disorder, or both? An empirical evaluation. Journal of Cognitive Psychotherapy, 22, 115–127.

    Article  Google Scholar 

  • Deacon, B., Lickel, J., & Abramowitz, J. S. (2008). Medical utilization across the anxiety disorders. Journal of Anxiety Disorders, 22, 344–350.

    Article  PubMed  Google Scholar 

  • Fallon, B. A., Javitch, J. A., Hollander, E., & Liebowitz, M. R. (1991). Hypochondriasis and obsessive compulsive disorder: Overlaps in diagnosis and treatment. Journal of Clinical Psychiatry, 52, 457–460.

    PubMed  Google Scholar 

  • Flora, D. B., & Curran, P. J. (2001). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466–491.

    Article  Google Scholar 

  • Freeston, M., Gagnon, F., Ladouceur, R., Thibodeau, N., Letarte, H., & Rheaume, J. (1994). Health-related intrusive thoughts. Journal of Psychosomatic Research, 38(3), 203–215.

    Article  PubMed  Google Scholar 

  • Gorsuch, R. L. (1983). Factor analysis. Hillsdale: Erlbaum.

    Google Scholar 

  • Greeven, A., van Balkom, A., Visser, S., Merkelbach, J., van Rood, Y., van Dyck, R., et al. (2007). Cognitive behavior therapy and paroxetine in the treatment of hypochondriasis: a randomized controlled trial. American Journal of Psychiatry, 164, 91–99.

    Article  PubMed  Google Scholar 

  • Hewson, C. (2003). Conducting research on the internet. The Psychologist, 16, 290–293.

    Google Scholar 

  • Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analyses: conventional criteria versus new alternatives. Structural equation modeling, 6, 1–55.

    Article  Google Scholar 

  • Longman, R. S., Cota, A. A., Holden, R. R., & Fekken, G. C. (1989). A regression equation for the parallel analysis criterion in principal components analysis: mean and 95th percentile eigenvalues. Multivariate Behavioral Research, 24, 59–69.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Los Angeles: Muthén & Muthén.

    Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Obsessive Compulsive Cognitions Working Group. (2005). Psychometric validation of the obsessive belief questionnaire and interpretation of intrusions inventory: part 2, factor analyses and testing of a brief version. Behaviour Research and Therapy, 43, 1527–1543.

    Article  Google Scholar 

  • Olatunji, B. O. (2008). New directions in research on health anxiety and hypochondriasis: Commentary on a timely special series. Journal of Cognitive Psychotherapy, 22, 183–190.

    Article  Google Scholar 

  • Olatunji, B. O., Deacon, B. J., Abramowitz, J. S., & Valentiner, D. P. (2007). Body vigilance in nonclinical and anxiety disorder samples: structure, correlates, and prediction of health concerns. Behavior Therapy, 38, 392–401.

    Article  PubMed  Google Scholar 

  • Olatunji, B. O., Deacon, B. J., & Abramowitz, J. S. (2009). Is hypochondriasis an anxiety disorder? British Journal of Psychiatry, 194, 481–482.

    Article  PubMed  Google Scholar 

  • Rachman, S. (1997). A cognitive theory of obsessions. Behavior Research and Therapy, 35, 793–802.

    Article  Google Scholar 

  • Rachman, S. (1998). A cognitive theory of obsessions: elaborations. Behavior Research and Therapy, 36, 385–401.

    Article  Google Scholar 

  • Radloff, L. S. (1977). The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.

    Article  Google Scholar 

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

    Article  PubMed  Google Scholar 

  • Ruscio, J., & Ruscio, A. M. (2002). A structure-based approach to psychological assessment: matching measurement models to latent structure. Assessment, 9, 5–17.

    Article  Google Scholar 

  • Salkovskis, P. M., Rimes, K. A., Warwick, H. M., & Clark, D. M. (2002). The health anxiety inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychological Medicine, 32, 843–853.

    Article  PubMed  Google Scholar 

  • Schmidt, N. B., Lerew, D. R., & Trakowski, J. H. (1997). Body vigilance in panic disorder: evaluating attention to bodily perturbations. Journal of Consulting and Clinical Psychology, 65, 214–220.

    Article  PubMed  Google Scholar 

  • Taylor, S., & Asmundson, G. (2004). Treating health anxiety: A cognitive-behavioral approach. New York: Guilford.

    Google Scholar 

  • Taylor, S., & Asmundson, G. (2008). Hypochondriasis. In J. S. Abramowitz, D. McKay, & S. Taylor (Eds.), Clinical handbook of obsessive-compulsive disorder and related problems (pp. 304–315). Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Taylor, S., Zvolensky, M., Cox, B., Deacon, B., Heimberg, R., Ledley, D. R., et al. (2007). Robust dimensions of anxiety sensitivity: development and initial validation of the anxiety sensitivity index-3 (ASI-3). Psychological Assessment, 19, 176–188.

    Article  PubMed  Google Scholar 

  • Tolin, D. F., Worhunsky, P., & Maltby, N. (2006). Are “obsessive beliefs” specific to OCD? A comparison across anxiety disorders. Behavior Research and Therapy, 44, 469–480.

    Article  Google Scholar 

  • Thurstone, L. L. (1947). Multiple factor analysis. Chicago: University of Chicago Press.

    Google Scholar 

  • Warwick, H. M., & Salkovskis, P. M. (1990). Hypochondriasis. Behavior Research and Therapy, 28, 105–117.

    Article  Google Scholar 

  • Warwick, H. M., Clark, D. M., Cobb, A. M., & Salkovskis, P. M. (1996). A controlled trial of cognitive-behavioural treatment of hypochondriasis. British Journal of Psychiatry, 169, 189–195.

    Article  PubMed  Google Scholar 

  • Woods, C. M., & Edwards, M. C. (2008). Factor analysis and related methods. In C. R. Rao, J. P. Miller, & D. C. Rao (Eds.), Handbook of statistics, volume 27: Epidemiology and medical statistics (pp. 367–394). Boston: Elsevier North-Holland.

    Google Scholar 

  • Yu, C., & Muthén, B., (2002, April). Evaluation of model fit indices for latent variable models with categorical and continuous outcomes. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, La.

  • Zwick, W. R., & Velicer, W. F. (1986). Comparisons of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432–442.

    Article  Google Scholar 

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Correspondence to Michael G. Wheaton.

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Wheaton, M.G., Berman, N.C., Franklin, J.C. et al. Health Anxiety: Latent Structure and Associations with Anxiety-related Psychological Processes in a Student Sample. J Psychopathol Behav Assess 32, 565–574 (2010). https://doi.org/10.1007/s10862-010-9179-4

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