Literature DB >> 14589740

Contributing factors to depressed mood in Multiple Sclerosis.

William D Voss1, Peter A Arnett, Christopher I Higginson, John J Randolph, Michael D Campos, Dennis G Dyck.   

Abstract

By applying the behavioral theory of Lewinsohn et al. [1985. An integrative theory of depression. In: S. Reiss, & R. R. Bootzin (Eds.), Theoretical issues in behavior therapy (pp. 331-359). San Diego, CA: Academic Press.] to multiple sclerosis (MS), it was hypothesized that physical disability, fatigue, and psychosocial dysfunction would be significantly predictive of depressed mood in MS patients. Seventy-six MS patients completed the following measures: the Sickness Impact Profile (SIP), the Fatigue Impact Scale (FIS), and the mood subscale from the Chicago Multiscale Depression Inventory (CMDI). Structural equation modeling revealed that physical disability and fatigue were indirectly predictive of depressed mood via their effects on recreational functioning. Fatigue also had a direct effect on mood. If reductions in recreational activities actually cause decrements in mood, depressed mood in MS may be treatable by helping patients identify recreational activities that they can enjoy regardless of physical or fatigue-related difficulties.

Entities:  

Year:  2002        PMID: 14589740

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  12 in total

1.  Capacity to make medical treatment decisions in multiple sclerosis: a potentially remediable deficit.

Authors:  Michael R Basso; Philip J Candilis; Jay Johnson; Courtney Ghormley; Dennis R Combs; Taeh Ward
Journal:  J Clin Exp Neuropsychol       Date:  2010-12       Impact factor: 2.475

2.  Cognition and physical disability in predicting health-related quality of life in multiple sclerosis.

Authors:  Marietta Hoogs; Sukhmit Kaur; Audrey Smerbeck; Bianca Weinstock-Guttman; Ralph H B Benedict
Journal:  Int J MS Care       Date:  2011

Review 3.  Depression in multiple sclerosis: a review.

Authors:  R J Siegert; D A Abernethy
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-04       Impact factor: 10.154

4.  Biological outcome measurements for behavioral interventions in multiple sclerosis.

Authors:  Anja Fischer; Christoph Heesen; Stefan M Gold
Journal:  Ther Adv Neurol Disord       Date:  2011-07       Impact factor: 6.570

Review 5.  The link between multiple sclerosis and depression.

Authors:  Anthony Feinstein; Sandra Magalhaes; Jean-Francois Richard; Blair Audet; Craig Moore
Journal:  Nat Rev Neurol       Date:  2014-08-12       Impact factor: 42.937

6.  A population-based study of depressive symptoms in multiple sclerosis in Stockholm county: association with functioning and sense of coherence.

Authors:  K Gottberg; U Einarsson; S Fredrikson; L von Koch; L W Holmqvist
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-07-17       Impact factor: 10.154

Review 7.  Depression and immunity: inflammation and depressive symptoms in multiple sclerosis.

Authors:  Stefan M Gold; Michael R Irwin
Journal:  Immunol Allergy Clin North Am       Date:  2009-05       Impact factor: 3.479

Review 8.  Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment.

Authors:  Claudio Solaro; Giulia Gamberini; Fabio Giuseppe Masuccio
Journal:  CNS Drugs       Date:  2018-02       Impact factor: 5.749

9.  A rapid screening tool for fatigue impact in multiple sclerosis.

Authors:  Daphne Kos; Guy Nagels; Marie B D'Hooghe; Marijke Duportail; Eric Kerckhofs
Journal:  BMC Neurol       Date:  2006-08-17       Impact factor: 2.474

10.  Prevalence and risk factors for depression in women with multiple sclerosis: a study from Iran.

Authors:  Khadijeh Mohammadi; Parvin Rahnama; Ali Montazeri
Journal:  Ann Gen Psychiatry       Date:  2015-09-22       Impact factor: 3.455

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