Cited by 295Multiple Sclerosis Research StudiesCancer survivorship and careAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

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

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Wood, B, van der Mei, IAF, Ponsonby, A-L, Pittas, F, Quinn, S, Dwyer, T, Lucas, RM, Taylor, BV·2013·Multiple Sclerosis Journal

DOI 10.1177/1352458512450351

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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% per year of cohort observation (RR 0.92, 95%CI 0.86–0.98, p =0.009), with the effect more pronounced in women (14.6%, RR 0.85, 95%CI 0.79–0.93, –<0.001) than men (2.6%, RR 1.03, 95%CI 0.90–1.17, p =0.77). There was no apparent seasonal variation in the prevalence of any of the three factors ( p >0.05). All three factors occurred contemporaneously at cohort entry in a higher proportion of the cohort than expected by chance ( p <0.001). Conclusions: Anxiety, depression and fatigue are common in PwMS and tend to cluster together. The findings are important for clinical management of PwMS and to the exploration of possible shared causal biological pathways.

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Additional file 1 of Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review
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Additional file 3 of Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review
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Additional file 2 of Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review
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Additional file 4 of Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review
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“Sociodemographic characteristics such as female gender, lower educational status, and younger age (Jones et al., 2012; Podda et al., 2020; Wood et al., 2013) have been identified as significant correlates of anxiety in pwMS. Research indicates that a history of depression may increase the…”
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“It ranged from 18.5% [68] to 58.9% [69] among PwMS, reflecting the heterogeneity in research populations, diagnostic methods, and assessment tools.”
Influential
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Authors: Wood, B., van der Mei, I., Ponsonby, A.-L., Pittas, F., Quinn, S., Dwyer, T., Lucas, R., & Taylor, B.
Affiliations: University of Tasmania (AU)
Menzies Research Institute Tasmania, University of Tasmania, Tasmania, Australia
The University of Melbourne (AU)
Flinders University (AU)
National Centre for Epidemiology and Public Health, The Australian National University, Canberra, Australia
ORCID: Ponsonby, A-L
Quinn, S
Dwyer, T
Venue: Multiple Sclerosis Journal
Publisher: SAGE Publications
Published: 2012-06-22
Volume: 19
Issue: 2
Pages: 217-224
ISSN: 1352-4585 (ISSN-L)
1477-0970
DOI: 10.1177/1352458512450351
OpenAlex: W1973836236
Cited by: 294
References: 41
Citations by year: 2026: 8 · 2025: 9 · 2024: 17 · 2023: 15 · 2022: 24 · 2021: 36 · 2020: 21 · 2019: 19 · 2018: 25 · 2017: 22 · 2016: 24 · 2015: 25 · 2014: 28 · 2013: 19 · 2012: 1
FWCI: 16.84
Type: journal article
Language: en
Open access: green
figshare.com
Licence: cc-by
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Multiple Sclerosis Journal (publishedVersion)
PubMed (publishedVersion)
eCite Digital Repository (University of Tasmania) (submittedVersion)
UWA Profiles and Research Repository (UWA) (submittedVersion)
Figshare (submittedVersion, cc-by)
ANU Open Research (Australian National University) (submittedVersion)
Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Topics: Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
Health Sciences › Medicine › Oncology › Cancer survivorship and care
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords: multiple sclerosis, anxiety, depression, fatigue, comorbidities, prevalence, longitudinal cohort, sex differences, disease duration, Expanded Disability Status Scale, seasonal variation, Hospital Anxiety and Depression Scale, Fatigue Severity Scale
MeSH terms: Adult, Age Factors, Antidepressive Agents, Anxiety, Depression, Disability Evaluation, Educational Status, Fatigue, Female, Humans, Immunologic Factors, Longitudinal Studies, Male, Middle Aged, Multiple Sclerosis, Seasons, Sex Characteristics, Tasmania, Cohort Studies, Disease Progression

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

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