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Cited by 150Multiple Sclerosis Research StudiesCancer survivorship and careAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Longitudinal assessment of anxiety, depression, and fatigue in people with multiple sclerosis.

Brown, R. F., Valpiani, E. M., Tennant, C. C., Dunn, S. M., Sharrock, M., Hodgkinson, S., Pollard, J. D.·2009·Psychology and Psychotherapy: Theory, Research and Practice
DOI 10.1348/147608308x345614
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Abstract

Objectives. No longitudinal studies have concurrently evaluated predictors of anxiety, depression, and fatigue in people with multiple sclerosis (PwMS). This study determined factors that best predicted anxiety, depression, and fatigue in MS patients from a large pool of disease, cognitive, life‐event stressor (LES), psychosocial, life‐style, and demographic factors. Design. A 2‐year prospective longitudinal study evaluated predictors of psychological distress and fatigue in PwMS. Methods. One hundred and one consecutive participants with MS were recruited from two MS clinics in Sydney, Australia. LES, anxiety, depression, and fatigue were assessed at baseline and at 3‐monthly intervals for 2‐years. Disease, cognitive, demographic, psychosocial, and life‐style factors were assessed at baseline. Patient‐reported relapses were recorded and corroborated by neurologists or evaluated against accepted relapse criteria. Results. Depression strongly predicted anxiety and fatigue, and anxiety and fatigue strongly predicted later depression. Psychological distress (i.e. anxiety, depression) was also predicted by a combination of unhealthy behaviours (e.g. drug use, smoking, no exercise, or relaxation) and psychological factors (e.g. low optimism, avoidance coping), similar to the results of community‐based studies. However, state‐anxiety and fatigue were also predicted by immunotherapy status, and fatigue was also predicted by LES and demographics. Conclusions. These results suggest that similar factors might underpin psychological distress and fatigue in MS patients and community‐well samples, although MS treatment factors may also be important. These results might assist clinicians in determining which MS patients are at greatest risk of developing anxiety, depression, or fatigue.

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Crossref · 10.1348/147608308x345614

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Citations

Cites

Research works printed but not linked: 6

  1. Beck A. T., 1996, Beck depression inventory‐II The Psychological Corporation
  2. First M., 2002, Diagnostic and statistical manual of mental disorders‐IV‐TR: Diagnosis, etiology and treatment
  3. Folkman S., 1988, Ways of coping questionnaire sampler set: Manual, test booklet and scoring key
  4. 10.1037/0022-3514.67.6.1063 · DOI · Paper page
  5. Spielberger C. D., 1983, State‐trait anxiety inventory for adults (Form Y)
  6. Zachary R. A., 1994, Shipley institute of living scale (revised) manual

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Metadata

Authors
Brown, R. F., Valpiani, E. M., Tennant, C. C., Dunn, S. M., Sharrock, M., Hodgkinson, S., & Pollard, J. D.
Affiliations
  • University of New England (AU)
  • The University of Sydney (AU)
  • Liverpool Hospital (AU)
Corresponding author
Brown, R. F.
ORCID
Venue
Psychology and Psychotherapy: Theory, Research and Practice
Publisher
Wiley
Published
2009-03
Volume
82
Issue
1
Pages
41-56
ISSN
  • 1476-0835 (ISSN-L)
  • 2044-8341
DOI
10.1348/147608308x345614
OpenAlex
W2024367195
Cited by
150
References
45
Citations by year
2026: 7 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 7 · 2020: 7 · 2019: 15 · 2018: 9 · 2017: 9 · 2016: 10 · 2015: 18 · 2014: 5 · 2013: 9 · 2012: 6
FWCI
4.26
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 663 d)
Locations
  • Psychology and Psychotherapy Theory Research and Practice (publishedVersion)
  • PubMed (publishedVersion)
  • EPubDev Repository (submittedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
  • RUNE (Research UNE) (submittedVersion)
Funders
Multiple Sclerosis Australia
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, psychological distress, predictors of psychological distress, immunotherapy, optimism, avoidance coping, relapse, psychosocial factors
MeSH terms
Adaptation, Psychological, Adult, Anxiety Disorders, Depressive Disorder, Disability Evaluation, Fatigue, Female, Follow-Up Studies, Health Status, Humans, Life Style, Male, Motivation, Multiple Sclerosis, Prospective Studies, Psychology, Surveys and Questionnaires, Severity of Illness Index, Sleep Wake Disorders, Social Support

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