Abstract
OBJECTIVES: To determine the correlation between excessive daytime sleepiness and body mass index, waist circumference, and lipid profile of shift workers at Dr. Moewardi General Hospital, Surakarta. METHODS: This cross-sectional study was carried out at the Dr. Moewardi Hospital, Surakarta, Indonesia between October 2018 and July 2019. The participants were recruited using purposive sampling. Multiple linear regression with backward elimination was performed to identify the odds ratios between Epworth Sleepiness Scale scores, anthropometric measurements, and lipid profiles. A p-value of <0.05 indicated statistically significant correlations. RESULTS: Of the 150 included participants, 127 (84.67%) were women. Statistical analyses revealed odds ratios of 2.38 (95% confidence interval [CI] 1.14-4.89, p=0.000) for daytime sleepiness severity and total cholesterol levels, and 2.45 (95% CI 1.36-4.98, p=0.020) for daytime sleepiness severity and high-density lipoprotein levels. CONCLUSION: Increased total cholesterol and decreased high-density lipoprotein levels increase the risk of excessive daytime sleepiness in shift workers.