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Quality of Life Research

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01-08-2015

Psychometric properties of the Hamilton Depression Rating Scale in multiple sclerosis

Auteurs: Simona Raimo, Luigi Trojano, Daniele Spitaleri, Vittorio Petretta, Dario Grossi, Gabriella Santangelo

Gepubliceerd in: Quality of Life Research | Uitgave 8/2015

Abstract

Background

Multiple sclerosis (MS) is frequently associated with depressive symptoms and major depression.

Objective

We assessed psychometric properties of the Hamilton Depression Rating Scale (HDRS, 17-item version) for assessing depressive symptomatology in a sample of MS patients.

Methods

Seventy patients (aged 43.3 ± 10.3 years) completed the HDRS and a thorough clinical and neuropsychological assessment, including diagnosis of major depression according to the established clinical criteria.

Results

HDRS was easy to administer and acceptable, and showed fair internal consistency (Cronbach’s alpha = 0.8). The HDRS showed good convergent validity with respect to neuropsychiatric inventory (NPI) subdomain of depression (r _rho = .85) and good divergent validity with respect to remaining NPI subdomains (r _rho < .30). Moreover, HDRS’s total score correlated moderately with functional disability and apathetic symptomatology, and poorly with general cognitive status. Receiver operating characteristics curve analysis demonstrated that a cutoff >14.5 can identify clinically relevant depressive symptoms with good sensitivity (93 %) and specificity (97 %) with respect to the diagnosis of major depression. Such a cutoff identified clinically relevant depressive symptoms in 42 % of our MS sample, whereas 44.2 % patients met established clinical criteria for major depression.

Conclusion

The HDRS can be considered as an easy, reliable, and valid tool to assess depressive symptomatology for clinical and research purposes in non-demented MS patients.

vorige artikel Validity of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) in individuals with Huntington disease (HD)

volgende artikel Measurement properties of translated versions of the Scoliosis Research Society-22 Patient Questionnaire, SRS-22: a systematic review

Feinstein, A., Magalhaes, S., Richard, J. F., Audet, B., & Moore, C. (2014). The link between multiple sclerosis and depression. Nat Rev Neurol, 10(9), 507–517.PubMedCrossRef

Minden, S. L., Orav, J., & Reich, P. (1987). Depression in multiple sclerosis. General Hospital Psychiatry, 9, 4–434.CrossRef

Sadovnick, A. D., Remick, R. A., Allen, J., et al. (1996). Depression and multiple sclerosis. Neurology, 46, 628–632.PubMedCrossRef

Benedict, R. H., Fishman, I., McClellan, M. M., Bakshi, R., & Weinstock-Guttman, B. (2003). Validity of the beck depression inventory-fast screen in multiple sclerosis. Mult Scler, 9(4), 393–396.PubMedCrossRef

Wood, B., van der Mei, I. A., Ponsonby, A. L., Pittas, F., Quinn, S., Dwyer, T., et al. (2013). Prevalence and concurrence of anxiety, depression and fatigue over time in multiple sclerosis. Mult Scler, 19(2), 217–224.PubMedCrossRef

Schiffer, R. B. (1990). Disturbances of affect. In S. M. Rao (Ed.), Neurobehavioral aspects of multiple sclerosis (pp. 186–195). New York: Oxford University Press.

Siegert, R. J., & Abernethy, D. A. (2005). Depression in multiple sclerosis: a review. Journal of Neurology, Neurosurgery and Psychiatry, 76, 469–475.PubMedCentralPubMedCrossRef

Mohr, D. C., Goodkin, D. E., Gatto, N., & Van Der Wende, J. (1997). Depression, coping and level of neurological impairment in multiple sclerosis. Mult Scler, 3, 254–258.PubMedCrossRef

Benito-León, J., Morales, J. M., & Rivera-Navarro, J. (2002). Health-related quality of life and its relationship to cognitive and emotional functioning in multiple sclerosis patients. European Journal of Neurology, 9(5), 497–502.PubMedCrossRef

10.

Amato, M. P., Ponziani, G., Rossi, F., Liedl, C. L., Stefanile, C., & Rossi, L. (2001). Quality of life in multiple sclerosis: the impact of depression, fatigue and disability. Mult Scler, 7, 340–344.PubMedCrossRef

11.

Gilchrist, A. C., & Creed, F. H. (1994). Depression, cognitive impairment and social stress in multiple sclerosis. Journal of Psychosomatic Research, 38, 193–201.PubMedCrossRef

12.

Feinstein, A. (2002). An examination of suicidal intent in patients with multiple sclerosis. Neurology, 59(5), 674–678.PubMedCrossRef

13.

Goodkin, D. E. (1992). The natural history of multiple sclerosis. In R. A. Rudick & G. E. Goodkin (Eds.), Treatment of multiple sclerosis: trial design, results, and future perspectives (pp. 17–46). New York: Springer-Verlag.CrossRef

14.

Cassem, E. H. (1995). Depressive disorders in the medically ill: an overview. Psychosomatics, 36, 2–10.CrossRef

15.

Patten, S. (2010). Diagnosing depression in MS in the face of overlapping symptoms. Int MS J, 17(1), 3–5.PubMed

16.

Cuijpers, P., Li, J., Hofmann, S. G., & Andersson, G. (2010). Self-reported versus clinician-rated symptoms of depression as outcome measures in psychotherapy research on depression: a meta-analysis. Clinical Psychology Review, 30(6), 768–778.PubMedCrossRef

17.

Hamilton, M. (1960). A rating scale for depression. J Neurol Neurosurg Psychiatr, 23, 56–62.PubMedCentralPubMedCrossRef

18.

Broen, M. P., Moonen, A. J., Kuijf, M. L., Dujardin, K., Marsh, L., Richard, I. H., et al. (2015). Factor analysis of the Hamilton Depression Rating Scale in Parkinson’s disease. Parkinsonism Relat Disord, 3(2), 142–146.CrossRef

19.

Bagby, R. M., Ryder, A. G., Schuller, D. R., & Marshall, M. B. (2004). The Hamilton Depression Rating Scale: has the gold standard become a lead weight? American Journal of Psychiatry, 161(12), 2163–2177.PubMedCrossRef

20.

Shafer, A. B. (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of Clinical Psychology, 62(1), 123–146.PubMedCrossRef

21.

Moran, P. J., & Mohr, D. C. (2005). The validity of Beck Depression Inventory and Hamilton Rating Scale for Depression items in the assessment of depression among patients with multiple sclerosis. Journal of Behavioral Medicine, 28(1), 35–41.PubMedCrossRef

22.

Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., et al. (2011). Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Annu Neurol, 69(2), 292–302.CrossRef

23.

American Psychiatric Association. (2002). Diagnostic and statistical manual of mental disorders, 4th edition, text revised. Washington: American Psychiatric Association.

24.

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198.PubMedCrossRef

25.

Measso, G., Cavarzeran, F., Zappalà, C., Lebowitz, B. D., Crook, T. H., & Pirozzolo, F. J. (1993). The Mini-mental state examination. Normative study of an Italian random sample. Dev Neuropsychol, 9, 77–85.CrossRef

26.

Kurtzke, J. F. (1983). Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology, 33(11), 1444–1452.PubMedCrossRef

27.

Bertolucci, P. H., Brucki, S. M., Campacci, S. R., & Juliano, Y. (1994). The mini-mental state examination in a general population: impact of educational status. Arquivos de Neuro-Psiquiatria, 52(1), 1–7.PubMedCrossRef

28.

Grut, M., Fratiglioni, L., Viitanen, M., & Winblad, B. (1993). Accuracy of the mini-mental status examination as a screening test for dementia in a Swedish elderly population. Acta Neurologica Scandinavica, 87(4), 312–317.PubMedCrossRef

29.

Marin, R. S., Biedrzycki, R. C., & Firingiogullari, S. (1991). Reliability and validity of the Apathy Evaluation Scale. Psychiatry Research, 38, 143–162.PubMedCrossRef

30.

Raimo, S., Trojano, L., Spitaleri, D. L. A., Petretta, V., Grossi, D., & Santangelo, G. (2014). Apathy in multiple sclerosis: a validation study of the Apathy Evaluation Scale. Journal of the Neurological Sciences, 347(1–2), 295–300.PubMedCrossRef

31.

Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994). The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology, 44(12), 2308–2314.PubMedCrossRef

32.

Cummings, J. L. (1997). The Neuropsychiatric Inventory: assessing psychopathology in dementia patients. Neurology, 48, S10–S16.PubMedCrossRef

33.

McHorney, C. A., & Tarlov, A. R. (1995). Individual-patient monitoring in clinical practice: are available health surveys adequate? Quality of Life Research, 4, 293–307.PubMedCrossRef

34.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef

35.

Scientific Advisory Committee of the Medical Outcomes Trust. (2002). Assessing health status and quality-of-life instruments: attributes and review criteria. Quality of Life Research, 11, 193–205.CrossRef

36.

Carlson, K. D., & Herdman, A. (2012). Understanding the impact of convergent validity on research results. Organ Res Methods, 15(1), 17–32.CrossRef

37.

Cohen, J. W. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Laurence Erlbaum Associates.

38.

Trajković, G., Starčević, V., Latas, M., Leštarević, M., Ille, T., Bukumirić, Z., & Marinković, J. (2011). Reliability of the Hamilton Rating Scale for Depression: a meta-analysis over a period of 49 years. Psychiatry Research, 189(1), 1–9.PubMedCrossRef

39.

Starkstein, S. E., Ingram, L., Garau, M. L., & Mizrahi, R. (2005). On the overlap between apathy and depression in dementia. Journal of Neurology, Neurosurgery and Psychiatry, 76(8), 1070–1074.PubMedCentralPubMedCrossRef

40.

Marin, R. S., Firinciogullari, S., & Biedrzycki, R. C. (1993). The sources of convergence between measures of apathy and depression. Journal of Affective Disorders, 28(1), 7–14.PubMedCrossRef

41.

Lynch, S. G., Kroencke, D. C., & Denney, D. R. (2001). The relationship between disability and depression in multiple sclerosis: the role of uncertainty, coping, and hope. Mult Scler, 7(6), 411–416.PubMedCrossRef

42.

Niino, M., Mifune, N., Kohriyama, T., Mori, M., Ohashi, T., Kawachi, I., et al. (2014). Apathy/depression, but not subjective fatigue, is related with cognitive dysfunction in patients with multiple sclerosis. BMC Neurol, 14, 3.PubMedCentralPubMedCrossRef

43.

Devins, G. M., Seland, T. P., Klein, G., Edworthy, S. M., & Saary, M. J. (1993). Stability and determinants of psychosocial well-being in multiple sclerosis. Rehabil Psychol, 38(1), 11–26.CrossRef

44.

Bakshi, R., Thompson, A. J., Rocca, M. A., Pelletier, D., Dousset, V., Barkhof, F., et al. (2008). MRI in multiple sclerosis: current status and future prospects. Lancet Neurology, 7(7), 615–625.PubMedCentralCrossRef

45.

Weinstock-Guttman, B., Ransohoff, R. M., Kinkel, R. P., & Rudick, R. A. (1995). The interferons: biological effects, mechanisms of action, and use in multiple sclerosis. Annu Neurol, 37(1), 7–15.CrossRef

46.

Filippini, G., Brusaferri, F., Sibley, WA., Citterio, A., Ciucci, G., Midgard, R., Candelise, L. (2000). Corticosteroids or ACTH for acute exacerbations in multiple sclerosis. Cochrane Database Syst Rev, (4), CD001331.

47.

Pompili, M., Forte, A., Palermo, M., Stefani, H., Lamis, D. A., Serafini, G., et al. (2012). Suicide risk in multiple sclerosis: a systematic review of current literature. Journal of Psychosomatic Research, 73(6), 411–417.PubMedCrossRef

48.

Rickards, H. (2006). Depression in neurological disorders: an update. Curr Opin Psychiatry, 19(3), 294–298.PubMedCrossRef

49.

Leentjens, A. F., Marinus, J., Van Hilten, J. J., Lousberg, R., & Verhey, F. R. (2003). The contribution of somatic symptoms to the diagnosis of depressive disorder in Parkinson’s disease: a discriminant analytic approach. Journal of Neuropsychiatry and Clinical Neurosciences, 15(1), 74–77.PubMedCrossRef

50.

Cummings, J. L. (1992). Depression and Parkinson’s disease: a review. American Journal of Psychiatry, 149, 443–454.PubMedCrossRef

51.

Kummer, A., Cardoso, F., & Teixeira, A. L. (2009). Suicidal ideation in Parkinson’s disease. CNS Spectrums, 14(8), 431–436.PubMed

52.

Stanton, B. R., Barnes, F., & Silber, E. (2006). Sleep and fatigue in multiple sclerosis. Mult Scler, 12, 481–486.PubMedCrossRef

53.

Schutte-Rodin, S., Broch, L., Buysse, D., Dorsey, C., & Sateia, M. (2008). Clinical guideline for the evaluation and management of chronic insomnia in adults. Journal of Clinical Sleep Medicine, 4, 487–504.PubMedCentralPubMed

54.

Johnson, E. O., Roth, T., & Breslau, N. (2006). The association of insomnia with anxiety disorders and depression: exploration of the direction of risk. Journal of Psychiatric Research, 40(8), 700–708.PubMedCrossRef

55.

Schrag, A., Barone, P., Brown, R. G., Leentjens, A. F., McDonald, W. M., Starkstein, S., et al. (2007). Depression rating scales in Parkinson’s disease: critique and recommendations. Movement Disorders, 22(8), 1077–1092.PubMedCentralPubMedCrossRef

56.

Zimmerman, M., Martinez, J. H., Young, D., Chelminski, I., & Dalrymple, K. (2013). Severity classification on the Hamilton Depression Rating Scale. Journal of Affective Disorders, 150(2), 384–388.PubMedCrossRef

57.

Naarding, P., Leentjens, A. F., van Kooten, F., & Verhey, F. R. (2002). Disease-specific properties of the Rating Scale for depression in patients with stroke, Alzheimer’s dementia, and Parkinson’s disease. Journal of Neuropsychiatry and Clinical Neurosciences, 14(3), 329–334.PubMedCrossRef

58.

Weintraub, D., Oehlberg, K. A., Katz, I. R., & Stern, M. B. (2006). Test characteristics of the 15-item geriatric depression scale and Hamilton depression rating scale in Parkinson disease. Am J Geriatr Psychiatry, 14(2), 169–175.PubMedCentralPubMedCrossRef

59.

Uher, R., Perlis, R. H., Placentino, A., Dernovšek, M. Z., Henigsberg, N., Mors, O., et al. (2012). Self-report and clinician-rated measures of depression severity: can one replace the other? Depression and Anxiety, 29(12), 1043–1049.PubMedCentralPubMedCrossRef

Titel: Psychometric properties of the Hamilton Depression Rating Scale in multiple sclerosis
Auteurs: Simona Raimo
Luigi Trojano
Daniele Spitaleri
Vittorio Petretta
Dario Grossi
Gabriella Santangelo
Publicatiedatum: 01-08-2015
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 8/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-015-0940-8

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Abstract

Background

Objective

Methods

Results

Conclusion

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