Literature DB >> 12708812

Psychometric evaluation of the Chicago Multiscale Depression Inventory in multiple sclerosis patients.

C-H Chang1, D L Nyenhuis, D Cella, T Luchetta, K Dineen, A T Reder.   

Abstract

OBJECTIVE: The Chicago Multiscale Depression Inventory (CMDI), a comprehensive self-report measure of depression, has proven useful in the assessment of patients with chronic medical conditions. The objective of this study was to determine the validity of the CMDI in multiple sclerosis (MS) patients and explore the nature of depressive symptoms reported by people with MS.
METHOD: Using a combined classical and modern psychometric approach, the factor structure of responses in MS patients was compared with that of a normative sample to confirm meaningful subtypes of depression in MS (mood, depressive cognition, and vegetative symptoms). Patient groups also were compared by disease severity to evaluate differences in depression associated with differences in disease severity.
RESULTS: The results supported the factor structures of the measure, which was internally consistent, reliable, and factorially valid. Some items function differently in MS patients when compared with depressed patients and normals, offering a further opportunity to understand the unique clinical aspects of depression in people with MS compared with those without a concurrent physical illness.
CONCLUSIONS: Use of the CMDI to assess separate dimensions of depression may help to clarify the complex interrelationships among aspects of depression and health-related behavior.

Entities:  

Mesh:

Year:  2003        PMID: 12708812     DOI: 10.1191/1352458503ms885oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  8 in total

1.  Capacity for financial decision making in multiple sclerosis.

Authors:  Victoria L Tracy; Michael R Basso; Daniel C Marson; Dennis R Combs; Douglas M Whiteside
Journal:  J Clin Exp Neuropsychol       Date:  2016-07-19       Impact factor: 2.475

2.  A tutorial on structural equation modeling for analysis of overlapping symptoms in co-occurring conditions using MPlus.

Authors:  Douglas D Gunzler; Nathan Morris
Journal:  Stat Med       Date:  2015-06-04       Impact factor: 2.373

3.  Pain is associated with prospective memory dysfunction in multiple sclerosis.

Authors:  Ashley K Miller; Michael R Basso; Philip J Candilis; Dennis R Combs; Steven Paul Woods
Journal:  J Clin Exp Neuropsychol       Date:  2014-10-23       Impact factor: 2.475

4.  Omega-3 fatty acids and multiple sclerosis: relationship to depression.

Authors:  Robin L Aupperle; Douglas R Denney; Sharon G Lynch; Susan E Carlson; Debra K Sullivan
Journal:  J Behav Med       Date:  2008-04

5.  Disentangling Multiple Sclerosis and depression: an adjusted depression screening score for patient-centered care.

Authors:  Douglas D Gunzler; Adam Perzynski; Nathan Morris; Robert Bermel; Steven Lewis; Deborah Miller
Journal:  J Behav Med       Date:  2014-06-01

Review 6.  The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies.

Authors:  Daniel Hind; Daphne Kaklamanou; Dan Beever; Rosie Webster; Ellen Lee; Michael Barkham; Cindy Cooper
Journal:  BMC Psychiatry       Date:  2016-08-04       Impact factor: 3.630

7.  Money Management in Multiple Sclerosis: The Role of Cognitive, Motor, and Affective Factors.

Authors:  Goverover Yael; Chiaravalloti Nancy; DeLuca John
Journal:  Front Neurol       Date:  2019-10-23       Impact factor: 4.003

8.  Abnormalities of resting state functional connectivity are related to sustained attention deficits in MS.

Authors:  Marisa Loitfelder; Massimo Filippi; Mara Rocca; Paola Valsasina; Stefan Ropele; Margit Jehna; Siegrid Fuchs; Reinhold Schmidt; Christa Neuper; Franz Fazekas; Christian Enzinger
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

  8 in total

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