• Saudi Med J · Nov 2022

    Correlating excessive daytime sleepiness with body mass index, waist circumference, and lipid profile in shift workers.

    • Diah Kurnia Mirawati, Naomi Ditya Sari, Ervina Arta Jayanti Hutabarat, Yetty Hambarsari, Hanindia Riani Prabaningtyas, Pepi Budianto, Muhammad Hafizhan, and Stefanus Erdana Putra.
    • From the Department of Neurology, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.
    • Saudi Med J. 2022 Nov 1; 43 (11): 123412391234-1239.

    ObjectivesTo 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.MethodsThis 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.ResultsOf 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.ConclusionIncreased total cholesterol and decreased high-density lipoprotein levels increase the risk of excessive daytime sleepiness in shift workers.Copyright: © Saudi Medical Journal.

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