Sleep disorders and fatigue represent prominent symptoms frequently experienced by individuals with multiple sclerosis (MS). Some psychological factors such as depression, stress, and anxiety seem to have a relationship with such problems. This study aimed to examine the role of depression, stress, and anxiety in predicting sleep disorders and fatigue among patients with MS. Employing a cross-sectional descriptive-correlational design, the study involved a sample size of 252 participants selected through purposive sampling based on inclusion and exclusion criteria. We utilized a demographic information questionnaire along with the Mini-Sleep Questionnaire (MSQ), Fatigue Severity Scale (FSS), and Depression, Anxiety, and Stress Scale (DASS-21) to collect data and analyzed them applying SPSS, incorporating statistical measures including Pearson correlation and regression. The results of the Pearson correlation coefficient showed that sleep disorders had a positive and significant relationship with depression ( = 0.56; < 0.001), stress ( = 0.40; < 0.001), and anxiety ( = 0.52; < 0.001). There was no significant relationship between age and the development of sleep disorders in total score ( = -0.001; < 0.985), but age had a relationship with insomnia ( = -0.146; < 0.021) and oversleeping ( = 0.153; < 0.015). Age and fatigue did not have a significant relationship as well ( = -0.044; < 0.941). In addition, fatigue had a positive and significant relationship with depression ( = 0.52; < 0.001), stress ( = 0.48; < 0.001), and anxiety ( = 0.54; < 0.001). The results of the regression analysis also showed that depression, stress, and anxiety predict 0.37% of the total variance of sleep disorders ( = 48.34; < 0.001) and 0.35% of the total variance of fatigue ( = 44.64; < 0.001). Our findings suggest that depression, stress, and anxiety play a significant role in predicting sleep disorders and fatigue among patients with MS. This study has been reported in accordance with the TREND checklist for nonrandomized trials.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10843872 | PMC |
http://dx.doi.org/10.1155/2024/6776758 | DOI Listing |
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