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Affective forecasting accuracy in obsessive compulsive disorder

Published online by Cambridge University Press:  27 March 2019

Dianne M. Hezel ,
S. Evelyn Stewart ,
Bradley C. Riemann  and
Richard J. McNally
Dianne M. Hezel*
Affiliation:
Department of Psychology, Harvard University, William James Hall, 33 Kirkland Street, Cambridge, MA 02138, USA
S. Evelyn Stewart
Affiliation:
University of British Columbia, Vancouver, BC, Canada and B.C. Children’s Hospital, Vancouver, BC, Canada
Bradley C. Riemann
Affiliation:
The Obsessive-Compulsive Disorder Center, Rogers Memorial Hospital, 34700 Valley Road, Oconomowoc, WI 53066, USA
Richard J. McNally
Affiliation:
Department of Psychology, Harvard University, William James Hall, 33 Kirkland Street, Cambridge, MA 02138, USA
*
*Corresponding author. Email: [email protected]
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Abstract

Background:

Research indicates that people suffering from obsessive compulsive disorder (OCD) possess several cognitive biases, including a tendency to over-estimate threat and avoid risk. Studies have suggested that people with OCD not only over-estimate the severity of negative events, but also under-estimate their ability to cope with such occurrences. What is less clear is if they also miscalculate the extent to which they will be emotionally impacted by a given experience.

Aims:

The aim of the current study was twofold. First, we examined if people with OCD are especially poor at predicting their emotional responses to future events (i.e. affective forecasting). Second, we analysed the relationship between affective forecasting accuracy and risk assessment across a broad domain of behaviours.

Method:

Forty-one OCD, 42 non-anxious, and 40 socially anxious subjects completed an affective forecasting task and a self-report measure of risk-taking.

Results:

Findings revealed that affective forecasting accuracy did not differ among the groups. In addition, there was little evidence that affective forecasting errors are related to how people assess risk in a variety of situations.

Conclusions:

The results of our study suggest that affective forecasting is unlikely to contribute to the phenomenology of OCD or social anxiety disorder. However, that people over-estimate the hedonic impact of negative events might have interesting implications for the treatment of OCD and other disorders treated with exposure therapy.

Keywords

affective forecastingcognitive biasesobsessive compulsive disorderrisk aversionsocial anxiety disorder
Type
Main
Information
Behavioural and Cognitive Psychotherapy , Volume 47 , Issue 5 , September 2019 , pp. 573 - 584
Copyright
© British Association for Behavioural and Cognitive Psychotherapies 2019 

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References

Admon, R., Bleich-Cohen, M., Weizmant, R., Poyurovsky, M., Faragian, S. and Hendler, T. (2012). Functional and structural neural indices of risk aversion in obsessive-compulsive disorder (OCD). Psychiatry Research, 203, 207–213.CrossRefGoogle Scholar
American Psychiatric Association (APA) (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edn). Arlington, VA: American Psychiatric Publishing.Google Scholar
Blais, A.-R. and Weber, E. U. (2006). DOmain-SPecific Risk-Taking (DOSPERT) Scale for adult populations. Judgment and Decision Making, 1, 33–47.Google Scholar
Craske, M. G., Kircanski, K., Zelikowsky, M., Mystkowski, J., Chowdhury, N. and Baker, A. (2008). Optimizing inhibitory learning during exposure therapy. Behaviour Research and Therapy, 46, 5–27.CrossRefGoogle ScholarPubMed
Craske, M. G., Treanor, M., Conway, C. C., Zbozinek, T. and Vervliet, B. (2014). Maximizing exposure therapy: an inhibitory learning approach. Behaviour Research and Therapy, 58, 10–23.CrossRefGoogle ScholarPubMed
Eaton, W. W., Smith, C., Ybarra, M., Muntaner, C. and Tien, A. (2004). Center for Epidemiologic Studies Depression Scale: Review and Revision (CESD and CESD-R). In Maruish, M. E. (ed), The Use of Psychological Testing for Treatment Planning and Outcomes Assessment, Instruments for Adults (3rd edn, pp. 363–377). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Faul, F., Erdfelder, E., Lang, A. G. and Buchner, A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191.CrossRefGoogle ScholarPubMed
Foa, E. B. and Goldstein, A. (1978). Continuous exposure and complete response prevention in the treatment of obsessive-compulsive neurosis. Behavior Therapy, 9, 821–829.10.1016/S0005-7894(78)80013-6CrossRefGoogle Scholar
Franklin, M. E. and Foa, E. B. (2002). Cognitive behavioral treatments for obsessive compulsive disorder. In Nathan, P. E. and Gorman, J. M. (eds), A Guide to Treatments That Work (pp. 367–386). New York: Oxford University Press.Google Scholar
Fresco, D. M., Coles, M. E., Heimberg, R. G., Liebowitz, M. R., Hami, S., Stein, M. B. and Goetz, D. (2001). The Liebowitz Social Anxiety Scale: a comparison of the psychometric properties of self-report and clinician-administered formats. Psychological Medicine, 31, 1025–1035.10.1017/S0033291701004056CrossRefGoogle ScholarPubMed
Geers, A. L. and Lassiter, G. D. (1999). Affective expectations and information gain: evidence for assimilation and contrast effects in affective experience. Journal of Experimental Social Psychology, 35, 394–413.CrossRefGoogle Scholar
Goodman, W. K., Price, L. H., Rasmussen, S. A., Mazure, C., Delgado, P., Heninger, G. R. and Charney, D. S. (1989a). The Yale-Brown obsessive compulsive scale. II. Validity. Archives of General Psychiatry, 46, 1012–1016.CrossRefGoogle ScholarPubMed
Goodman, W. K., Price, L. H., Rasmussen, S. A., Mazure, C., Fleischmann, R. L., Hill, C. L., … Charney, D. S. (1989b). The Yale-Brown Obsessive Compulsive Scale. I. Development, use, and reliability. Archives of General Psychiatry, 46, 1006–1011.CrossRefGoogle ScholarPubMed
Jenike, M. A. (2004). Clinical practice. Obsessive-compulsive disorder. New England Journal of Medicine, 350, 259–265. doi: 10.1056/NEJMcp031002350/3/259 CrossRefGoogle ScholarPubMed
Kermer, D. A., Driver-Linn, E., Wilson, T. D. and Gilbert, D. T. (2006). Loss aversion is an affective forecasting error. Psychological Science, 17, 649–653. doi: 10.1111/j.1467-9280.2006.01760.x CrossRefGoogle ScholarPubMed
Lewinsohn, P. M., Seeley, J. R., Roberts, R. E. and Allen, N. B. (1997). Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychology and Aging, 12, 277–287.CrossRefGoogle ScholarPubMed
Liebowitz, M. R. (1987). Social phobia. Modern Problems of Pharmacopsychiatry, 22, 141–173.CrossRefGoogle ScholarPubMed
Lorian, C. N. and Grisham, J. R. (2011). Clinical implications of risk aversion: an online study of risk-avoidance and treatment utilization in pathological anxiety. Journal of Anxiety Disorders, 25, 840–848. doi: 10.1016/j.janxdis.2011.04.008 CrossRefGoogle ScholarPubMed
Mennin, D. S., Fresco, D. M., Heimberg, R. G., Schneier, F. R., Davies, S. O. and Liebowitz, M. R. (2002). Screening for social anxiety disorder in the clinical setting: using the Liebowitz Social Anxiety Scale. Journal of Anxiety Disorders, 16, 661–673.CrossRefGoogle ScholarPubMed
Moritz, S. and Jelinek, L. (2009). Inversion of the ‘unrealistic optimism’ bias contributes to overestimation of threat in obsessive-compulsive disorder. Behavioural and Cognitive Psychotherapy, 37, 179–193.CrossRefGoogle Scholar
Moritz, S. and Pohl, R. F. (2006). False beliefs maintenance for fear-related information in obsessive-compulsive disorder: an investigation with the hindsight paradigm. Neuropsychology, 20, 737–742. doi: 10.1037/0894-4105.20.6.737 CrossRefGoogle ScholarPubMed
OCCWG (1997). Cognitive assessment of obsessive-compulsive disorder. Behaviour Research and Therapy, 35, 667–681.CrossRefGoogle Scholar
OCCWG (2001). Development and initial validation of the obsessive beliefs questionnaire and the interpretation of intrusions inventory. Behaviour Research and Therapy, 39, 987–1006.CrossRefGoogle Scholar
OCCWG (2003). Psychometric validation of the Obsessive Beliefs Questionnaire and the Interpretation of Intrusions Inventory. Part 1: Behaviour Research and Therapy, 41, 863–878.CrossRefGoogle Scholar
OCCWG (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, 1527–1542.CrossRefGoogle Scholar
Rachman, S. (1997). A cognitive theory of obsessions. Behaviour Research and Therapy, 35, 793–802. doi: 10.1016/S0005-7967(97)00040-5 CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D Scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.10.1177/014662167700100306CrossRefGoogle Scholar
Rescorla, R. A. and Wagner, A. R. (1972). A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement. Classical conditioning II: Current research and theory, 2, 64–99.Google Scholar
Rouel, M., Stevenson, R. J. and Smith, E. (2018). Predicting contamination aversion using implicit and explicit measures of disgust and threat overestimation. Behaviour Change, 35, 22–38.CrossRefGoogle Scholar
Rytwinski, N. K., Fresco, D. M., Heimberg, R. G., Coles, M. E., Liebowitz, M. R., Cissell, S., … Hofmann, S. G. (2009). Screening for social anxiety disorder with the self-report version of the Liebowitz Social Anxiety Scale. Depression and Anxiety, 26, 34–38. doi: 10.1002/da.20503 CrossRefGoogle ScholarPubMed
Salkovskis, P. M. (1985). Obsessional-compulsive problems: a cognitive-behavioural analysis. Behaviour Research and Therapy, 23, 571–583. doi: 10.1016/0005-7967(85)90105-6 CrossRefGoogle ScholarPubMed
Salkovskis, P. M. (1991). The importance of behaviour in the maintenance of anxiety and panic: a cognitive account. Behavioural Psychotherapy, 19, 6–19.CrossRefGoogle Scholar
Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., … Dunbar, G. C. (1998). The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59(suppl 20), 22–33.Google ScholarPubMed
Storch, E. A., Rasmussen, S. A., Price, L. H., Larson, M. J., Murphy, T. K. and Goodman, W. K. (2010). Development and psychometric evaluation of the Yale-Brown Obsessive-Compulsive Scale – Second Edition. Psychological Assessment, 22, 223–232. doi: 10.1037/a0018492 CrossRefGoogle ScholarPubMed
Wenze, S. J., Gunthert, K. C. and German, R. E. (2012). Biases in affective forecasting and recall in individuals with depression and anxiety symptoms. Personality and Social Psychology Bulletin, 38, 895–906. doi: 10.1177/0146167212447242 CrossRefGoogle ScholarPubMed
Wilson, T. D. and Gilbert, D. T. (2003). Affective forecasting. Advances in Experimental Socal Psychology, 35, 345–411.CrossRefGoogle Scholar
Wilson, T. D., Lisle, D. J., Kraft, D. and Wetzel, C. G. (1989). Preferences as expectation-driven inferences: effects of affective expectations on affective experience. Journal of Personality and Social Psychology, 56, 519.CrossRefGoogle ScholarPubMed
Woods, C. M., Frost, R. O. and Steketee, G. (2002). Obsessive compulsive (OC) symptoms and subjective severity, probability, and coping ability estimations of future negative events. Clinical Psychology and Psychotherapy, 9, 104–111.CrossRefGoogle Scholar
Zetsche, U., Rief, W. and Exner, C. (2015). Individuals with OCD lack unrealistic optimism bias in threat estimation. Behavior Therapy, 46, 510–520.CrossRefGoogle ScholarPubMed
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