4.5 Article

Poor sleep quality in patients with multiple sclerosis: gender differences

Journal

BRAIN AND BEHAVIOR
Volume 6, Issue 11, Pages -

Publisher

WILEY
DOI: 10.1002/brb3.553

Keywords

gender differences; multiple sclerosis; sleep quality

Funding

  1. Slovak Research and Development Agency [APVV-0220-10]
  2. Agency of the Slovak Ministry of the Education, Science, Research and Sport of the Slovak Republic for the Structural Funds of the EU [ITMS: 26220120058]

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ObjectivesMost of the psychological and physical factors associated with poor sleep quality in patients with multiple sclerosis (MS) have a different prevalence in women and men, but whether or not these factors contribute differently to sleep quality in women and men with MS remains unclear. The aim of this study was to identify possible gender differences in factors related to poor sleep quality in MS patients. Material and MethodsWe collected data from 153 patients with MS. Patients filled out the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale, and one item of the Short Form-36 regarding pain. ResultsThe best model of predictors of poor sleep quality consisting of gender, depression, anxiety, pain, and the interaction between gender and pain showed that the only variable interacting with gender, which was significantly associated with poor sleep quality was pain (odds ratio [OR] for interaction of pain with male gender was 15.4, 95% CI: 2.4; 39.5). Separate models for men and women consisting of pain, depression, anxiety, after adjustment for age, disease duration, and disability showed that pain was the only variable associated with poor sleep quality in men (OR=12.7, 95% CI: 1.9; 29.6), whereas depression (OR=4.1, 95% CI: 1.3; 13.2) and anxiety (OR=6.8, 95% CI: 2.4; 19.1) were in women. ConclusionsFactors contributing to poor sleep quality in MS patients differ by gender. Depression and anxiety are associated with poor sleep quality in women, whereas pain is in men. This highlights the need to apply gender-specific approaches to the treatment of sleep disorders.

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