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Prevalence, correlates, and impact of sleep disturbance in Chinese patients with primary Sjögren’s syndrome
Author(s) -
Cui Yafei,
Li Jing,
Li Lin,
Zhao Qian,
Chen Shengnan,
Xia Ling,
Fu Ting,
Ji Juan,
Gu Zhifeng
Publication year - 2020
Publication title -
international journal of rheumatic diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.795
H-Index - 41
eISSN - 1756-185X
pISSN - 1756-1841
DOI - 10.1111/1756-185x.13678
Subject(s) - medicine , pittsburgh sleep quality index , sleep disorder , depression (economics) , logistic regression , anxiety , rheumatism , physical therapy , disease , quality of life (healthcare) , mood , sleep (system call) , insomnia , psychiatry , sleep quality , nursing , computer science , economics , macroeconomics , operating system
Aim Sleep disturbances are common in primary Sjögren's syndrome (pSS) patients and may lead to disease aggravation and decreased health‐related quality of life (HRQoL). There are currently no known reported studies related to the prevalence, correlates, and impact of sleep disturbance in pSS patients from China. Therefore, this study aims to assess the sleep quality in Chinese pSS patients and evaluate its relationship with the disease activity, quality of life and mood disorders. Methods A self‐report survey was administered to 221 pSS patients and 198 healthy individuals using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. Disease activity and damage were evaluated with the European League Against Rheumatism Sjögren's syndrome disease activity index (ESSDAI). Independent samples t tests, Chi‐square analysis, logistic regression were used to analyze these data. Results Our results found that the prevalence of poor sleep (PSQI ≥ 6) was 57.5% and the mean global score of PSQI was 6.57 (SD 3.19) in patients, which were significantly higher than the controls (32.3% and 4.93 [SD 2.86], respectively). When trying to fall asleep, patients with pSS had some sleep disturbances, reduced sleep efficiency, increased number of awakenings than controls. There were significant correlations among dryness, ocular surface disease, HRQoL, pain, disease activity, anxiety/depression and sleep quality in pSS patients. Meanwhile, logistic regression models identified depression and Short Form‐36 mental composite score as predictors of poor sleep quality. Conclusions Sleep disturbances are commonly reported in pSS patients and sleep quality is lower in pSS patients than in healthy controls. The data suggested the need for holistic assessment and management of pSS patients.