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

The DOI matches its Crossref record; 39 of the 41 references it cites were found in a registry or an index.

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

Open access
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
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1177/1352458512450351

Cites

39 of 41 references verified0 citation errors · 2 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 41 references

Cited by

Sorted by citations

See all 295

Related

Metadata

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
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
Licence
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review