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An examination of the factor structure of the Beck Depression Inventory-II in a neurorehabilitation inpatient sample

Published online by Cambridge University Press:  01 January 2009

RICHARD J. SIEGERT*
Affiliation:
Department of Palliative Care, Policy and Rehabilitation, King’s College London, London, United Kingdom
FRANK H. WALKEY
Affiliation:
School of Psychology, Victoria University of Wellington, Wellington, New Zealand
LYNNE TURNER-STOKES
Affiliation:
Department of Palliative Care, Policy and Rehabilitation, King’s College London, London, United Kingdom Regional Rehabilitation Unit, Northwick Park Hospital, London, United Kingdom
*
*Correspondence and reprint requests to: Richard J. Siegert, Department of Palliative Care, Policy and Rehabilitation, School of Medicine at Guy’s, King’s College and St Thomas’ Hospitals, King’s College London, Weston Education Centre, 3rd Floor, Cutcombe Road, Denmark Hill, London SE5 9RJ, United Kingdom. E-mail: [email protected]

Abstract

The Beck Depression Inventory-II (BDI-II) is widely used for assessing depression in neurorehabilitation. Given the concern that the somatic items might be misleading, we examined its factor structure in 353 inpatients. Exploratory factor analysis was undertaken to compare two- to five-factor solutions. Confirmatory factor analysis was then used to test the best exploratory solutions for goodness of fit on a subsample. Both provided strong support for a general depression factor and two specific factors, one somatic and one cognitive/affective. The BDI-II provides a meaningful score of overall depression, and it can also yield two subscores—one measuring somatic symptoms and the other measuring psychological symptoms of depression. To avoid confusing the common symptoms of neurological disability with depression in neurorehabilitation, clinicians need to consider all three scores carefully. (JINS, 2009, 15, 142–147.)

Type
Brief Communications
Copyright
Copyright © INS 2009

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References

REFERENCES

Arnau, R.C., Meagher, M.W., Norris, M.P., & Bramson, R. (2001). Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients. Health Psychology, 20(2), 112119.CrossRefGoogle ScholarPubMed
Bandalos, D.L. & Finney, S.J. (2001). Item parcelling issues in structural equation modelling. In Marcoulides, G.A. & Schumacker, R.E. (Eds.), New developments and techniques in structural equation modelling. (pp. 269296). Mahwah, N.J.:Lawrence Erlbaum Associates.Google Scholar
Barrett, P.T. & Kline, P. (1981). Radial parcel factor analysis. Personality and Individual Differences, 2, 311318.CrossRefGoogle Scholar
Beck, A.T., Steer, R.A., & Brown, G.K. (1966). Beck Depression Inventory (2nd ed.). San Antonio, TX: The Psychological Corporation.Google Scholar
Cattell, R.B. (1974). Radial parcel factoring vs item factoring in defining personality structure in questionnaires – theory and experimental checks. Australian Journal of Psychology, 26 (2), 103119.CrossRefGoogle Scholar
Christensen, B.K., Ross, T.P., Kotasek, M., Rosenthal, M., & Henry, R.R. (1995). Factor structure of the Beck Depression Inventory in a sample of persons with traumatic brain injury. Journal of the International Neuropsychological Society, 1(2), 122.Google Scholar
Dikmen, S.S., Bombardier, C.H., Machamer, J.E, Fann, J.R., & Temkin, N.R. (2004). Natural history of depression in traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 85, 14571464.CrossRefGoogle ScholarPubMed
Green, A., Felmingham, K., Baguley, I.J., Slewa-Younan, S., & Simpson, S. (2001). The clinical utility of the Beck Depression Inventory after traumatic brain injury. Brain Injury, 15(12), 10211028.CrossRefGoogle ScholarPubMed
Hassan, N., Turner-Stokes, L., Pierce, K., & Clegg, F.A. (2002). A complete audit cycle and integrated care pathway for the management of depression following brain injury in a rehabilitation setting. Clinical Rehabilitation, 16(5), 534540.CrossRefGoogle Scholar
Hau, K.T. & Marsh, H.W. (2004). The use of item parcels in structural equation modelling: Non-normal data and small sample sizes. British Journal of Mathematical and Statistical Psychology, 57, 327351.CrossRefGoogle ScholarPubMed
Jorge, R.E. & Starkstein, S.E. (2005). Pathophysiologic aspects of major depression following traumatic brain injury. Journal of Head Trauma Rehabilitation, 20(6), 475487.CrossRefGoogle ScholarPubMed
Moldover, J.E., Goldberg, K.B., & Prout, M.F. (2004). Depression after traumatic brain injury: A review of evidence for clinical hetereogeneity. Neuropsychology Review, 14(3), 143154.Google Scholar
Morley, S., Williams, A.C., & Black, S.A. (2002). A confirmatory factor analysis of the Beck Depression Inventory in chronic pain. Pain, 99(1-2), 289298.CrossRefGoogle ScholarPubMed
Munoz, D.J., Chen, E., Fischer, S., Roehrig, M., Sanchez-Johnson, L., Alverdy, J., Dymeck-Valentine, M., & le Grange, D. (2007). Considerations for the use of the Beck Depression Inventory in the assessment of weight-loss surgery seeking patients. Obesity Surgery, 17(8), 10971101.CrossRefGoogle ScholarPubMed
Rosenthal, M., Christensen, B.K., & Ross, T.P. (1998). Depression following traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 79, 90103.CrossRefGoogle ScholarPubMed
Rowland, S.M., Lam, C.S., & Leahy, B. (2005). Use of the Beck Depression Inventory-II (BDI-II) with persons with traumatic brain injury: Analysis of factorial structure. Brain Injury, 19(2), 7783.CrossRefGoogle ScholarPubMed
Royal College of Physicians. (2005). Use of antidepressant medication in adults undergoing recovery and rehabilitation following acquired brain injury: National guidelines. London, UK: Royal College of Physicians.Google Scholar
Thombs, B.D. (2007). Use of the Beck Depression Inventory for assessing depression in patients hospitalised with severe burn: Disentangling symptoms of depression from injury and treatment factors. Burns, 33, 547553.Google Scholar
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Turner-Stokes, L. & Hassan, N. (2002). Depression after stroke: A review of the evidence base to inform the development of an integrated care pathway. Part 1: Diagnosis, frequency and impact. Clinical Rehabilitation, 16, 231247.CrossRefGoogle ScholarPubMed
Ullman, J.B. (2001). Structural equation modelling. In Tabachnick, B.G. & Fidell, L.S. (Eds.), Using multivariate statistics (pp. 653771). Boston, MA: Allyn & Bacon.Google Scholar
Wesley, A.L., Gatchel, R.J., Garofalo, J.P., & Polatin, P.B. (1999). Toward more accurate use of the Beck Depression Inventory with chronic back pain patients. The Clinical Journal of Pain, 15(2), 117121.CrossRefGoogle ScholarPubMed