The association between self-reported sleep quality and metabolic syndrome

• Published in: PloS one 2013-01, Vol.8 (1), p.e54304-e54304
• Main Authors: Hung, Hao-Chang, Yang, Yi-Ching, Ou, Horng-Yih, Wu, Jin-Shang, Lu, Feng-Hwa, Chang, Chih-Jen
• Format: Article
• Language: English
• Subjects: Adult; Alcohol; Alcohol use; Alcohols; Analysis; Biology; Blood pressure; Body mass index; Cardiovascular disease; Cholesterol; Cross-Sectional Studies; Diabetes; Drinking behavior; Endocrinology; Family medical history; Fasting; Female; Heart; High density lipoprotein; Hospitals; Humans; Hyperglycemia; Hypertension; Insomnia; Internal medicine; Lungs; Male; Medical research; Medicine; Metabolic syndrome; Metabolic Syndrome - physiopathology; Middle Aged; Mortality; Multivariate Analysis; Obesity; Quality; Quality assessment; Questionnaires; Regression analysis; Sleep; Sleep - physiology; Sleep deprivation; Thyroid gland
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0054304

Short and long sleep duration are associated with metabolic syndrome. However, there is limited research on the association between sleep quality and metabolic syndrome, and thus the aim of this study is to investigate this relationship. The cross-sectional baseline data were collected from the decoded database of the Prevention Health Center of National Cheng Kung University Hospital from 2002 to 2006. The diagnosis of metabolic syndrome was according to the statement of the American Heart Association/National Heart, Lung, and Blood Institute. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). A higher global PSQI score indicates poorer sleep quality, and a global PSQI score greater than five differentiates poor from good sleepers. Of the 3,435 subjects recruited, 899 (26.2%) had metabolic syndrome. Subjects with metabolic syndrome had higher PSQI and prevalence of poor sleepers than those without metabolic syndrome. The multivariate lineal regression analysis showed that female gender, metabolic syndrome, sleep duration, snoring, alcohol drinking, and habitual exercise were independent predictors of PSQI. When substituting metabolic syndrome with the five components, hyperglycemia and low high-density lipoprotein cholesterol (HDL-C) were positively associated with PSQI. The multivariate logistic regression analyses showed that female gender, metabolic syndrome, sleep duration, and snoring were independently associated with being poor sleepers. Of the five components, only low HDL-C was an independent predictor of being poor sleepers. Subjects with metabolic syndrome have higher global PSQI scores and a higher risk of being poor sleepers. Of the five components of metabolic syndrome, hyperglycemia and low HDL-C are independently associated with the global PSQI scores, while low HDL-C is an independent predictor of being poor sleepers.