Literature DB >> 12926845

Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis.

R H B Benedict1, I Fishman, M M McClellan, R Bakshi, B Weinstock-Guttman.   

Abstract

INTRODUCTION: The Beck Depression Inventory-Fast Screen (BDI-FS) is a brief self-report inventory designed to evaluate depression in patients with medical illness. As depressive disorder is especially prominent in multiple sclerosis (MS), a cost-effective procedure for identifying depressive disorder in MS is sorely needed. The BDI-FS may be useful in this regard although, to date, its validity in MS patients has not been assessed.
METHODS: Fifty-four consecutive MS patients were studied. All underwent psychological assessment, which included the BDI-FS and other self-report measures of depression. Forty-eight caregiver/informants were interviewed using the Neuorpsychiatric Inventory (NPI). Retrospective chart reviews were conducted by a single trained research assistant, blind to the results of psychological testing and interviews, to determine if antidepressant medications had been prescribed.
RESULTS: The BDI-FS was significantly correlated with other self-report measures of depression (P < 0.001) and with informant reported dysphoria (P < 0.01), In addition, BDI-FS scores discriminated MS patients undergoing treatment for depressive disorder from untreated MS patients (P = 0.01).
CONCLUSION: These data support the concurrent and discriminative validity of the BDI-FS in MS. As the test is brief and not confounded with neurological symptoms, it is recommended for depression screening in this population.

Entities:  

Mesh:

Year:  2003        PMID: 12926845     DOI: 10.1191/1352458503ms902oa

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


  61 in total

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Journal:  J Neurol       Date:  2010-10-06       Impact factor: 4.849

2.  Psychometric properties of the Hamilton Depression Rating Scale in multiple sclerosis.

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3.  Validation of mood measures for people with multiple sclerosis.

Authors:  Tessa M Watson; Emma Ford; Esme Worthington; Nadina B Lincoln
Journal:  Int J MS Care       Date:  2014

4.  Clinically meaningful performance benchmarks in MS: timed 25-foot walk and the real world.

Authors:  Myla D Goldman; Robert W Motl; John Scagnelli; John H Pula; Jacob J Sosnoff; Diego Cadavid
Journal:  Neurology       Date:  2013-10-30       Impact factor: 9.910

5.  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

6.  Attributional style and depression in multiple sclerosis: the learned helplessness model.

Authors:  Gray A Vargas; Peter A Arnett
Journal:  Int J MS Care       Date:  2013

7.  Intra-individual Variability as a Measure of Information Processing Difficulties in Multiple Sclerosis.

Authors:  Magdalena Wojtowicz; Lindsay I Berrigan; John D Fisk
Journal:  Int J MS Care       Date:  2012

8.  Psychometric evaluation of the multiple sclerosis impact scale (MSIS-29) for proxy use.

Authors:  F A H van der Linden; J J Kragt; M Klein; H M van der Ploeg; C H Polman; B M J Uitdehaag
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-12       Impact factor: 10.154

9.  Factors that influence adherence with disease-modifying therapy in MS.

Authors:  Katherine Treadaway; Gary Cutter; Amber Salter; Sharon Lynch; James Simsarian; John Corboy; Douglas Jeffery; Bruce Cohen; Ken Mankowski; Joseph Guarnaccia; Lawrence Schaeffer; Roy Kanter; David Brandes; Charles Kaufman; David Duncan; Ellen Marder; Arthur Allen; John Harney; Joanna Cooper; Douglas Woo; Olaf Stüve; Michael Racke; Elliot M Frohman
Journal:  J Neurol       Date:  2009-04-27       Impact factor: 4.849

10.  Effects of single dose mixed amphetamine salts--extended release on processing speed in multiple sclerosis: a double blind placebo controlled study.

Authors:  Sarah A Morrow; Heather Rosehart
Journal:  Psychopharmacology (Berl)       Date:  2015-08-21       Impact factor: 4.530

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