Skip to main content
Log in

Minnesota Multiphasic Personality Inventory (MMPI) cluster groups among chronically ill patients: Relationship to illness adjustment and treatment outcome

  • Published:
Journal of Behavioral Medicine Aims and scope Submit manuscript

Abstract

Cluster analysis of the MMPI has been utilized widely in the chronic low back pain literature to try to identify reliable patient subtypes predictive of treatment outcome. We extended this methodology to patients with heterogeneous chronic medical conditions by replicating prototypic MMPI cluster group profiles and by relating cluster groups to clinical baseline and outcome data. Subjects were two independent samples (n=254 and n=263) of chronically ill patients admitted to an inpatient medicine/psychiatry unit. Using a four-cluster solution, similar cluster profile groups were replicated in both samples. Consistent differences emerged between cluster groups on functional impairment, psychiatric diagnoses, depression, and psychosomatic symptoms. Cluster group membership also predicted changes in functional impairment and depression six months after treatment. Results are discussed in terms of similarities between chronic low back pain and chronic illness and tailoring treatment to different patient types.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • American Psychiatric Association. (1980).Diagnostic and Statistical Manual of Mental Disorders (3rd ed.), Author, Washington DC.

    Google Scholar 

  • American Psychiatric Association. (1987).Diagnostic and Statistical Manual of Mental Disorders (3rd ed. rev.), Author, Washington DC.

    Google Scholar 

  • Armentrout, D., Moore, J., Parker, J., Hewett, J., and Feltz, C. (1982). Pain patient subgroups: The psychological dimension of pain.J. Behav. Med. 5: 201–211.

    PubMed  Google Scholar 

  • Attanasio, V., Andrasik, F., Blanchard, E., and Arena, J. (1984). Psychometric properties of the SUNYA revision of the Psychosomatic Symptom Checklist.J. Behav. Med. 7: 247–257.

    PubMed  Google Scholar 

  • Bombardier, C., D'Amico, C., and Jordan, J. (1990). The relationship of appraisal and coping to chronic illness adjustment.J. Behav. Res. Ther. 28: 297–304.

    Google Scholar 

  • Bradley, L., Prokop, C., Margolis, R., and Gentry, W. (1978). Multivariate analysis of the MMPI profiles of low back pain patients.J. Behav. Med. 1: 253–272.

    PubMed  Google Scholar 

  • Brooks, W. B., Jordan, J., Divine, G., Smith, K., and Neelon, F. (1990). The impact of psychological factors on measurement of functional status: Assessment of the Sickness Impact Profile.Med. Care, 28: 793–804.

    PubMed  Google Scholar 

  • Carroll, B., Feinberg, M., Smouse, P., Rawson, S., and Greden, J. (1981). The Carroll Rating Scale for Depression: I. development, reliability and validation.Br. J. Psychiat. 138: 194–200.

    Google Scholar 

  • Cassileth, B., Lusk, E., Strouse, T., Miller, D., Brown, L., Cross, P., and Tenaglia, A. (1984). Psychosocial status in chronic illness: A comparative analysis of six diagnostic groups.N. Eng. J. Med. 311: 506–511.

    Google Scholar 

  • Costello, R., Hulsey, T., Schoenfeld L., and Ramamurthy, S. (1987). P-A-I-N: A four-cluster MMPI typology for chronic pain.Pain 30: 199–209.

    PubMed  Google Scholar 

  • Deyo, R., Enui, T., Lenninger J., and Overman, S. (1982). Physical and psychosocial functioning in rheumatoid arthritis: Clinical use of a self-administered health status instrument. Arch. Intern. Med. 142: 879–882.

    PubMed  Google Scholar 

  • Felton, B., and Revenson, T. (1984). Coping with chronic illness: A study of illness controllability and the influence of coping strategies on psychological adjustment.J. Consult. Clin. Psychol. 52: 343–353.

    PubMed  Google Scholar 

  • Follick, M., Smith, T., and Ahern, D. (1985). The Sickness Impact Profile: A global measure of disability in chronic low back pain.Pain 21: 67–76.

    PubMed  Google Scholar 

  • Folstein, M., Folstein, S., and McHugh, P. (1975). “Mini-Mental State: A practical method for grading the cognitive state of patients for the clinician.J. Psychiat. Res. 12: 189.

    PubMed  Google Scholar 

  • Fordyce, W. (1979). Use of the MMPI in the assessment of chronic pain. In Butcher, J., Dahlstrom, G., Gynther, M., and Schofield, W. (Eds.),Clinical Notes on the MMPI (No. 3). Roche Psychiatric Service Institute, Nutley NJ.

    Google Scholar 

  • Greene, R. (1980).The MMPI: An Interpretive Manual. Grune & Stratton, Orlando, FL.

    Google Scholar 

  • Guck, T., Meilman, P., Skultety, M., and Poloni, L. (1988). Pain-patient MMPI subgroups: Evaluation of long-term treatment outcome.J. Behav. Med. 11: 159–169.

    PubMed  Google Scholar 

  • Kaplan, R. (1990). Behavior as the central outcome in health care.Am. Psychol. 45: 1211–1220.

    PubMed  Google Scholar 

  • Keller, L., and Butcher, J. (1991).Assessment of Chronic Pain Patients with the MMPI-2, University-of Minnesota Press, Minneapolis.

    Google Scholar 

  • Love, A., and Peck, C. (1987). The MMPI and psychological factors in chronic low back pain: A review.Pain 28: 1–12.

    PubMed  Google Scholar 

  • McCreary, C. (1985). Empirically derived MMPI profile clusters and characteristics of low back pain patients.J. Consult. Clin. Psychol. 53: 558–560.

    PubMed  Google Scholar 

  • McCreary, C., Naliboff, B., and Cohen, M. (1989). A comparison of clinically and empirically derived MMPI groupings in low back pain patients.J. Clin. Psychol. 45: 560–570.

    PubMed  Google Scholar 

  • McGill, J., Lawlis, G., Selby, D., Mooney, V., and McCoy, C. (1983). Relationship of MMPI profile clusters to pain behaviors.J. Behav. Med. 6: 77–92.

    PubMed  Google Scholar 

  • Milligan, G., and Cooper, M. (1985). An examination of procedures for determining the number of clusters in a data set.Psychometrika 50: 159–179.

    Google Scholar 

  • Moore, J., Armentrout, D., Parker J., and Kivlahan, D. (1986). Empirically derived pain-patients MMPI subgroups: Prediction of treatment outcome.J. Behav. Med. 9: 51–63.

    PubMed  Google Scholar 

  • Rappaport, N., McAnulty, D., Waggoner C., and Brantley, P. (1987). Cluster analysis of MMPI profiles in a chronic headache population.J. Behav. Med. 10: 49–60.

    PubMed  Google Scholar 

  • SAS (1985).SAS Users Guide: Statistics, Version 5, SAS Institute Inc., Cary, NC.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

This research was supported in part by a grant from the Henry J. Kaiser Family Foundation.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bombardier, C.H., Divine, G.W., Jordan, J.S. et al. Minnesota Multiphasic Personality Inventory (MMPI) cluster groups among chronically ill patients: Relationship to illness adjustment and treatment outcome. J Behav Med 16, 467–484 (1993). https://doi.org/10.1007/BF00844817

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00844817

Key words

Navigation