Daytime Sleepiness, Circadian Preference, Caffeine Consumption and Use of Other Stimulants among Thai College Students.

Jason Tran, Somrat Lertmaharit, Vitool Lohsoonthorn, Wipawan C Pensuksan, Thanapoom Rattananupong, Mahlet G Tadesse, Bizu Gelaye, Michelle A Williams
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引用次数: 32

Abstract

We conducted this study to evaluate the prevalence of daytime sleepiness and evening chronotype, and to assess the extent to which both are associated with the use of caffeinated stimulants among 3,000 Thai college students. Demographic and behavioral characteristics were collected using a self-administered questionnaire. The Epworth Sleepiness Scale and the Horne and Ostberg Morningness-Eveningness Questionnaire were used to evaluate prevalence of daytime sleepiness and circadian preference. Multivariable logistic regression models were used to evaluate the association between sleep disorders and consumption of caffeinated beverages. Overall, the prevalence of daytime sleepiness was 27.9 % (95% CI: 26.2-29.5%) while the prevalence of evening chronotype was 13% (95% CI: 11.8-14.2%). Students who use energy drinks were more likely to be evening types. For instance, the use of M100/M150 energy drinks was associated with a more than 3-fold increased odds of evening chronotype (OR 3.50; 95% CI 1.90-6.44), while Red Bull users were more than twice as likely to have evening chronotype (OR 2.39; 95% CI 1.02-5.58). Additionally, those who consumed any energy drinks were more likely to be daytime sleepers. For example, Red Bull (OR 1.72; 95% CI 1.08-2.75) or M100/M150 (OR 1.52; 95% CI 1.10-2.11) consumption was associated with increased odds of daytime sleepiness. Our findings emphasize the importance of implementing educational and prevention programs targeted toward improving sleep hygiene and reducing the consumption of energy drinks among young adults.

Abstract Image

泰国大学生日间嗜睡、昼夜偏好、咖啡因消耗和其他兴奋剂的使用。
我们在3000名泰国大学生中进行了这项研究,以评估白天嗜睡和晚上睡眠类型的流行程度,并评估两者与使用含咖啡因兴奋剂的程度。人口统计和行为特征收集使用自我管理的问卷。使用Epworth嗜睡量表和Horne and Ostberg早晚性问卷来评估白天嗜睡的患病率和昼夜节律偏好。多变量逻辑回归模型被用来评估睡眠障碍和含咖啡因饮料消费之间的关系。总体而言,白天嗜睡的患病率为27.9% (95% CI: 26.2-29.5%),而晚上睡眠类型的患病率为13% (95% CI: 11.8-14.2%)。饮用能量饮料的学生更有可能是夜猫子。例如,饮用M100/M150能量饮料与夜间睡眠类型的几率增加3倍以上相关(OR 3.50;95% CI 1.90-6.44),而红牛的使用者有晚睡型的可能性是前者的两倍多(OR 2.39;95% ci 1.02-5.58)。此外,那些饮用任何能量饮料的人更有可能是白天睡觉的人。例如,红牛(OR 1.72;95% CI 1.08-2.75)或M100/M150 (or 1.52;(95%可信区间1.10-2.11)摄入与白天嗜睡的几率增加有关。我们的研究结果强调了实施教育和预防计划的重要性,这些计划旨在改善年轻人的睡眠卫生,减少能量饮料的消费。
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