Association between sleep quality, migraine and migraine burden

Shaojie Duan; Zhiying Ren; Hui Xia; Ziyao Wang; Tao Zheng; Zunjing Liu

doi:10.3389/fneur.2022.955298

Association between sleep quality, migraine and migraine burden

Front Neurol. 2022 Aug 26:13:955298. doi: 10.3389/fneur.2022.955298. eCollection 2022.

Authors

Shaojie Duan^{1

2}, Zhiying Ren^{1

2}, Hui Xia^{1

2}, Ziyao Wang^{1

2}, Tao Zheng^{1

2}, Zunjing Liu^{3

2}

Affiliations

¹ Graduate School of Beijing University of Chinese Medicine, Beijing, China.
² Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
³ Department of Neurology, Peking University People's Hospital, Beijing, China.

Abstract

Background: The relationship between sleep and migraine is well known to be bidirectional. However, few studies have systematically assessed the association between sleep quality and the risk of developing migraine, and its gender and age differences are unclear. And there is currently limited evidence on the associations between sleep quality and migraine-related burdens.

Objective: The objectives of this study were to: (1) explore the association between sleep quality and the risk of developing migraine, and its gender and age differences; (2) investigate the associations between sleep quality and the total pain burden, severity, disability, headache impact, quality of life, anxiety, and depression of migraine patients.

Methods: This study consecutively enrolled 134 migraine patients and 70 sex- and age-matched healthy control subjects. Sleep quality was assessed through the Pittsburgh Sleep Quality Index (PSQI). Logistic regression and linear regression analyses were used to explore the associations between sleep quality with the risk of developing migraine and the migraine-related burdens.

Results: The prevalence of poor sleep quality in migraine patients was significantly higher than that in subjects without migraine (P < 0.001). After adjusting for various confounding factors, the risk of migraine with poor sleep quality remained 3.981 times that of those with good sleep quality. The subgroup analysis showed that there were significant additive interactions between poor sleep quality and the risk of migraine in gender, age, and education level (P for interaction < 0.05), and the stronger correlations were found in females, populations with ages more than 35 years old, and with lower education levels. In addition, multivariate linear regression analysis showed that poor sleep quality was significantly and independently associated with the total pain burden, severity, headache impact, quality of life, anxiety, and depression in migraine patients (P trend < 0.05).

Conclusion: Poor sleep quality was significantly independently associated with an increased risk of developing migraine and the migraine-related burdens. Strengthening PSQI assessment is valuable for the early prevention and treatment of migraine patients.

Keywords: Pittsburgh Sleep Quality Index; association; migraine; migraine burden; sleep quality.