Factors influencing quality of life in multiple sclerosis patients: disability, depressive mood, fatigue and sleep quality
Abstract
OBJECTIVES: In a series of 504 patients with multiple sclerosis (MS), quality of life (QOL) and its main clinical and demographic determinants were assessed in comparison with healthy individuals. MATERIALS AND METHODS: A postal questionnaire with self-completed measures of disability (Expanded Disability Status Scale, EDSS), QOL (Quality of Life Index, QLI), depressive mood (Self-rating Depression Scale, SDS), fatigue severity (Fatigue Severity Scale, FSS) and sleep quality (Pittsburgh Sleep Quality Index, PSQI) was sent to this sample of MS patients. RESULTS: Most patients were severely disabled; almost half were mildly to severely depressed, suffering from reduced sleep quality and/or fatigue. The multiple sclerosis patients had significantly lower QLI scores than healthy controls. EDSS and SDS scores were found to be predictors of global QLI score. Regarding the different QLI domains, mean SDS scores remained predictive for all QLI items, while mean EDSS, PSQI and FSS scores were only predictive for physical domains. CONCLUSION: Our study clearly demonstrates that depressive mood is the main factor influencing QOL. The disability status, fatigue and reduced sleep quality have an impact mainly on physical domains of life quality.
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Depression has been observed to be the strongest predictor of QoL in several studies.
“Depression has been observed to be the strongest predictor in several studies [4,8,10,11,17,20,24,25,26].”
From Biopsychosocial Correlates of Quality of Life in Multiple Sclerosis Patients (2022) · cites this paper as [17]
Depression is the strongest determinant of quality of life in multiple sclerosis among psychological and social factors.
“Of the multitude of psychological and social factors thought to influence QOL in MS, depression has been consistently shown to be the greatest determinant.34,35”
From Quality of life and psychological well-being in the early stages of multiple sclerosis (MS): importance of adopting a biopsychosocial model (2018) · cites this paper as [35]
Quality of life is reduced in people with multiple sclerosis.
“Reductions in quality of life (QOL) exist among individuals with multiple sclerosis (MS).”
From Quality of life and psychological well-being in the early stages of multiple sclerosis (MS): importance of adopting a biopsychosocial model (2018) · cites this paper as [17]
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- Authors
- Lobentanz, I. S., Asenbaum, S., Vass, K., Sauter, C., Klosch, G., Kollegger, H., Kristoferitsch, W., & Zeitlhofer, J.
- Affiliations
- University of Vienna (AT)
- Donauspital (AT)
- Corresponding author
- Zeitlhofer, J.
- Venue
- Acta Neurologica Scandinavica
- Publisher
- Wiley
- Published
- 2004-07
- Volume
- 110
- Issue
- 1
- Pages
- 6-13
- ISSN
- 0001-6314 (ISSN-L)
- 1600-0404
- OpenAlex
- W2036439226
- Cited by
- 439
- References
- 10
- Citations by year
- 2026: 10 · 2025: 6 · 2024: 13 · 2023: 14 · 2022: 13 · 2021: 13 · 2020: 14 · 2019: 19 · 2018: 28 · 2017: 27 · 2016: 40 · 2015: 28 · 2014: 20 · 2013: 18 · 2012: 19
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Acta Neurologica Scandinavica (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- multiple sclerosis, quality of life, disability, depressive mood, fatigue, sleep quality, Expanded Disability Status Scale, quality of life index, predictors of quality of life
- MeSH terms
- Adult, Aged, Aged, 80 and over, Austria, Depression, Disability Evaluation, Fatigue, Female, Health Status, Humans, Male, Middle Aged, Multiple Sclerosis, Predictive Value of Tests, Quality of Life, Surveys and Questionnaires, Self-Assessment, Sleep Wake Disorders, Comorbidity
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