Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes.
- Author:
Amarabalan RAJENDRAN
1
;
Shruthi PARTHSARATHY
;
Bubblu TAMILSELVAN
;
Krishna G SESHADRI
;
Mohamed SHUAIB
Author Information
- Publication Type:Original Article
- Keywords: Diabetes mellitus, type 2; Pittsburgh sleep quality index; Sleep initiation and maintenance disorders
- MeSH: Asian Continental Ancestry Group; Blood Glucose; Body Mass Index; Diabetes Mellitus, Type 2; Endocrinology; Fasting; Hemoglobin A, Glycosylated; Humans; Incidence; Leg; Prevalence; Sleep Initiation and Maintenance Disorders; Surveys and Questionnaires
- From:Diabetes & Metabolism Journal 2012;36(1):70-76
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND: Sleep disturbances are common in individuals with diabetes. Patients with diabetes have higher rates of insomnia, excessive daytime sleepiness and increased incidence of restless leg syndrome. The purpose of our study was to investigate the prevalence and determine the predictors of sleep dysfunction in patients with type 2 diabetes in a southeast Asian Indian population. METHODS: We enrolled 120 patients with type 2 diabetes who attended an endocrinology clinic in a tertiary-care hospital. After we collected their demographic data, we recorded their anthropometric measurements. Fasting, postprandial blood glucose values and glycosylated hemoglobin (HbA1c) values were then obtained. Quality of sleep was evaluated in all the patients through the Pittsburgh Sleep Quality Index (PSQI), which is a questionnaire that assesses sleep quality and disturbances over a monthlong period. A Global Sleep Quality score > or =5 discriminates between good and poor sleepers. RESULTS: The mean global PSQI score was 7.08 (standard deviation, 3.89), which suggested poor sleep quality in this population. Sixty-nine percent of patients had a global PSQI score > or =5, indicating that they were "poor sleepers." The global PSQI score positively correlated with the duration of diabetes and was also independent of other variables such as age, gender, body mass index, HbA1c, or medications. CONCLUSION: We found a high prevalence of sleep dysfunction in patients with type 2 diabetes. We also found a significant correlation between duration of diabetes and quality of sleep, independent of other variables. It is important for physicians to address the quality and duration of sleep in patients with type 2 diabetes.
