Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Addict Behav. 2021 Jan;112:106646. doi: 10.1016/j.addbeh.2020.106646. Epub 2020 Sep 6.
Few studies have assessed the association between e-cigarette use and sleep deprivation. This is an important question given the rapid increase in e-cigarette use among young adults in recent years.
To determine whether e-cigarette use is associated with sleep deprivation in a sample of young (18-24 years-old) American adults.
We used pooled cross-sectional data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS), selecting respondents aged 18 to 24 from forty-one states and U.S. territories that included the e-cigarette and sleep modules in the interview (N = 19,701). Poisson regression models tested the relationship between e-cigarette use and sleep deprivation. We adjusted for sociodemographic variables, physical activity, mental health, BMI, smokeless tobacco products use, alcohol drinking, and smoking.
In the pooled dataset, the weighted prevalence of current or former e-cigarette use was 47% and 35% of participants self-reported sleep deprivation. After adjusting for confounders, former e-cigarette users were 1.17 times more likely to report sleep deprivation, compared to never users (95%CI: 1.06, 1.29). The prevalence ratio for self-reported sleep deprivation increased to 1.42 (95%CI: 1.23, 1.65) for everyday users, compared to never e-cigarette users.
These findings suggest that e-cigarette use might be related to sleep deprivation in young adults. Future longitudinal studies should assess the causal and dose-response nature of this relationship.
很少有研究评估电子烟使用与睡眠剥夺之间的关联。鉴于近年来年轻人电子烟使用的快速增加，这是一个重要的问题。
确定电子烟使用是否与年轻（18-24 岁）美国成年人的睡眠剥夺有关。
我们使用 2017 年和 2018 年行为风险因素监测系统（BRFSS）的汇总横断面数据，从包括访谈中电子烟和睡眠模块的 41 个州和美国领土中选择 18 至 24 岁的受访者（N=19701）。泊松回归模型测试了电子烟使用与睡眠剥夺之间的关系。我们调整了社会人口统计学变量、身体活动、心理健康、BMI、无烟烟草制品使用、饮酒和吸烟。
在汇总数据集中，当前或以前使用电子烟的加权患病率为 47%，35%的参与者报告睡眠剥夺。在调整混杂因素后，与从未使用者相比，前电子烟使用者报告睡眠剥夺的可能性高 1.17 倍（95%CI：1.06，1.29）。与从未使用电子烟者相比，自我报告睡眠剥夺的流行率比增加到 1.42（95%CI：1.23，1.65），对于日常使用者。
这些发现表明，电子烟使用可能与年轻人的睡眠剥夺有关。未来的纵向研究应评估这种关系的因果关系和剂量反应性质。
