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Journal ArticleDOI

Prevalence and concurrence of anxiety, depression and fatigue over time in multiple sclerosis

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TLDR
Anxiety, depression and fatigue are common in persons with multiple sclerosis and tend to cluster together, important for clinical management of PwMS and to the exploration of possible shared causal biological pathways.
Abstract
Background:Anxiety, depression and fatigue are commonly reported by persons with multiple sclerosis (PwMS).Objectives:We estimated the prevalence of each factor in a representative sample of PwMS, and in subgroups defined by age, sex and disease duration, at cohort entry and over time. We further examined whether and how these factors clustered together.Methods:A population-based longitudinal cohort of 198 PwMS was followed 6-monthly for 2.5 years. The Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety (cut-point >7) and depression (>7) and the Fatigue Severity Scale (FSS) to measure fatigue (≥5).Results:At cohort entry, prevalence of anxiety was 44.5% (95%CI 37–51%), depression 18.5% (95%CI 12.6–23.4%), and fatigue 53.7% (95%CI 47–61%). Fatigue was more common in males than females (RR 1.29, p=0.01), with attenuation of the effect after adjustment for Expanded Disability Status Scale (adjusted RR 1.18, p=0.13). Prevalence of anxiety (but not depression or fatigue) decreased by 8.1% ...

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Journal ArticleDOI

The link between multiple sclerosis and depression

TL;DR: Three key challenges facing researchers and clinicians are explored: what is the optimal way to define depression in the context of diseases such as MS, in which the psychiatric and neurological symptoms overlap; how can current knowledge about the biological and psychological underpinnings of MS-related depression be used to boost the validity of this construct?
Journal ArticleDOI

The Role of Inflammation in Depression and Fatigue.

TL;DR: Results show strong support for the hypothesis that depression and fatigue are associated with an increased activation of the immune system which may serve as a valid target for treatment.
Journal ArticleDOI

Exercise in patients with multiple sclerosis

TL;DR: The main limitations to promoting exercise through the patient-clinician interaction are the inadequate quality and scope of existing evidence, incomplete understanding of the mechanisms underlying the beneficial effects of exercise in people with multiple sclerosis, and the absence of a conceptual framework and toolkit for translating the evidence into practice.
Journal ArticleDOI

A systematic review of the incidence and prevalence of comorbidity in multiple sclerosis: Overview

TL;DR: This review highlights substantial gaps in the epidemiological knowledge of comorbidity in MS worldwide and recommends that future studies should report age-, sex- and ethnicity-specific estimates of incidence and prevalence, and standardize findings to a common population.
References
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Journal ArticleDOI

Rating neurologic impairment in multiple sclerosis An expanded disability status scale (EDSS)

John F. Kurtzke
- 01 Nov 1983 - 
TL;DR: A new Expanded Disability Status Scale (EDSS) is presented, with each of the former steps (1,2,3 … 9) now divided into two (1.0, 1.5, 2.0 … 9).
Journal ArticleDOI

The validity of the Hospital Anxiety and Depression Scale: An updated literature review

TL;DR: HADS was found to perform well in assessing the symptom severity and caseness of anxiety disorders and depression in both somatic, psychiatric and primary care patients and in the general population.
Journal ArticleDOI

Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene

TL;DR: Evidence of a gene-by-environment interaction is provided, in which an individual's response to environmental insults is moderated by his or her genetic makeup.
Journal ArticleDOI

The Fatigue Severity Scale: Application to Patients With Multiple Sclerosis and Systemic Lupus Erythematosus

TL;DR: A fatigue severity scale was internally consistent, correlated well with visual analogue measures, clearly differentiated controls from patients, and could detect clinically predicted changes in fatigue over time and identify features that distinguish fatigue between two chronic medical disorders.
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