Diabetes, Metabolic Syndrome and Obesity (Nov 2022)
Sleep Quality and Its Determinants Among Type 2 Diabetes Patients with Comorbid Metabolic Syndrome
Abstract
Yanni Li,1 Nicholas Buys,2 Li Li,3 Jing Sun1,2 1School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Q422, Australia; 2Institute for Integrated Intelligence and Systems, Griffith University, Gold Coast, Queensland, Q4215, Australia; 3Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, 315010, People’s Republic of ChinaCorrespondence: Li Li, Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, 315010, People’s Republic of China, Tel +86 13757426626, Email [email protected] Jing Sun, School of Medicine and Dentistry, Griffith University, G40 8.23, Gold Coast, Queensland, Q4222, Australia, Tel +61 7 567 80924, Email [email protected]: The prevalence of poor sleep quality in patients with diabetes was higher than the general population. This study aimed to explore risk factors for not only poor sleep quality, but also long sleep latency, short sleep duration and low sleep efficiency, in type 2 diabetes patients (T2DM) with comorbid metabolic syndrome (MS).Patients and Methods: A total of 281 patients aged 18– 75 years were enrolled from Ningbo First Hospital during October 2021 to March 2022. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Sleep latency, sleep duration and sleep efficiency were obtained by a response to the questionnaire. Descriptive, independent two-sample t-test, Chi-square test and multiple logistic regression were conducted using SPSS Version 28.Results: The prevalence of poor sleep quality in T2DM with comorbid MS patients was 59.10%. The factors significantly associated with poor sleep quality were depression symptoms (OR = 3.10, 95% CI: 1.38 to 6.96, P = 0.006), poor quality of life (OR = 2.49, 95% CI: 1.24 to 4.99, P = 0.010), and age (OR = 1.07, 95% CI: 1.04 to 1.10, P < 0.001). The factor significantly associated with long sleep latency was depression symptoms (OR = 2.19, 95% CI: 1.15 to 4.16, P = 0.017). The factors significantly related to short sleep duration were depression symptoms (OR = 2.56, 95% CI: 1.31 to 5.00, P = 0.006) and age (OR = 1.05, 95% CI: 1.02 to 1.08, P = 0.002). The factor significantly related to short sleep efficiency was age (OR = 1.03, 95% CI: 1.01 to 1.06, P = 0.019).Conclusion: This study found that depression symptoms, together with poor quality of life, and increasing age were associated with poor sleep quality. Symptoms of depression were related to long sleep latency and short sleep duration. The increasing age was associated with short sleep duration and low sleep efficiency.Keywords: type 2 diabetes, sleep quality, sleep latency, sleep duration, sleep efficiency, influence factor
