3.8 Article

Sleep profile and its correlation with clinical variables in fibromyalgia syndrome: A cross-sectional study

Journal

JOURNAL OF TAIBAH UNIVERSITY MEDICAL SCIENCES
Volume 19, Issue 1, Pages 90-98

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ELSEVIER
DOI: 10.1016/j.jtumed.2023.08.010

Keywords

Correlation of data; Fibromyalgia; India; Pain; Quality of life; Sleep

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A scarcity of literature exists on sleep quality in fibromyalgia syndrome (FMS) in Indian patients. The current study aimed to describe the sleep profile in FMS patients with poor sleep quality in urban Bangalore and determine the relationship between poor sleep and FMS variables. The results showed that sleep disturbance is highly prevalent in FMS patients, particularly in females with increasing FMS severity and duration. Sleep quality was found to be significantly correlated with both somatic and psychological variables. Further studies are needed to evaluate predictors of poor sleep in FMS patients.
Objective: A scarcity of literature exists on sleep quality in fibromyalgia syndrome (FMS) in Indian patients. The current study described the sleep profile of patients with FMS with poor sleep quality residing in urban Bangalore and determined the relationship between poor sleep and fibromyalgia variables.Methods: Eighty-six patients with FMS were included in the study. Pittsburgh Sleep Quality Index (PSQI) and Revised Fibromyalgia Impact Questionnaire (FIQR) were used to evaluate the sleep profile and fibromyalgia variables. Spearman's rank correlation, t-test, and one-way analysis of variance were used for the analyses. Results: Ninety-one percent of patients with FMS were identified as poor sleepers (PSQI >5). The mean PSQI global score of the included patients was 12.04 +/- 3.5. The global sleep score varied with sex (p = 0.003) and fibro-myalgia severity (p = 0.001). A significant correlation was found between PSQI global score and FIQR total score (r = 0.4, p < 0.001), FIQR subdomains (r = 0.2-0.4,p < 0.05), and FMS duration (r = 0.26, p < 0.05). The PSQI global score was also correlated with pain, depression, memory, anxiety, balance, and sensitivity (r = 0.2-0.3, p < 0.05).Conclusion: Sleep disturbance is highly prevalent in patients with FMS residing in urban Bangalore. Sleep quality tends to worsen in females with increasing FMS severity and duration but does not differ across other demographic variables. Sleep quality is significantly correlated with somatic as well as psychological variables. Future studies evaluating the predictors of poor sleep are needed to further corroborate these findings.

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