Daytime sleepiness: associations with alcohol use and sleep duration in americans.
Daytime sleepiness: associations with alcohol use and sleep duration in americans.
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DOI：
10.1155/2014/959152
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Grandner MA
中科院分区：
文献类型：
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作者：
Chakravorty S;Jackson N;Chaudhary N;Kozak PJ;Perlis ML;Shue HR;Grandner MA
目前分析的目的是调查白天嗜睡与饮酒和睡眠时间的关系，使用成年美国人的人口样本。数据来自2007-2008年国家健康和营养检查调查（NHANES）的成年受访者（N = 2919），使用自我报告的嗜睡，睡眠时间和饮酒量（饮酒量和频率）变量进行分析。重度饮酒事件定义为每天饮用≥5种标准酒精饮料。Logistic回归模型调整了社会人口变量和失眠协变量，用于评估白天嗜睡和饮酒变量与睡眠时间的相互作用之间的关系。结果表明，15.07%的受试者报告白天嗜睡。在调整协变量的单变量分析中，每日饮酒对数减少[OR = 0.74（95%CI，0.58-0.95）]、饮酒频率对数减少[0.90（95%CI，0.83-0.98）]和睡眠持续时间较短[OR = 0.75（95%CI，0.67-0.84）]可预测日间嗜睡概率增加。睡眠持续时间减少和大量饮酒频率增加之间的相互作用预测白天嗜睡增加（P = 0.004）。因此，在评估白天嗜睡和大量饮酒之间的关系时，应考虑睡眠时间的影响。
The aim of the current analysis was to investigate the relationship of daytime sleepiness with alcohol consumption and sleep duration using a population sample of adult Americans. Data was analyzed from adult respondents of the National Health and Nutritional Examination Survey (NHANES) 2007-2008 (N = 2919) using self-reported variables for sleepiness, sleep duration, and alcohol consumption (quantity and frequency of alcohol use). A heavy drinking episode was defined as the consumption of ≥5 standard alcoholic beverages in a day. Logistic regression models adjusted for sociodemographic variables and insomnia covariates were used to evaluate the relationship between daytime sleepiness and an interaction of alcohol consumption variables with sleep duration. The results showed that daytime sleepiness was reported by 15.07% of the subjects. In univariate analyses adjusted for covariates, an increased probability of daytime sleepiness was predicted by decreased log drinks per day [OR = 0.74 (95% CI, 0.58–0.95)], a decreased log drinking frequency [0.90 (95% CI, 0.83–0.98)], and lower sleep duration [OR = 0.75 (95% CI, 0.67–0.84)]. An interaction between decreased sleep duration and an increased log heavy drinking frequency predicted increased daytime sleepiness (P = 0.004). Thus, the effect of sleep duration should be considered when evaluating the relationship between daytime sleepiness and heavy drinking.