PDF(Pubmed)
Abstract：
Energy drinks are consumed for a variety of reasons, including to boost mental alertness and energy. We assessed associations between demographic factors and various high-risky behaviours with energy drink consumption as they may be linked to adverse health events.
We conducted cross-sectional analysis including basic descriptive and multivariable-adjusted logistic regression analyses to characterise demographic and behavioural factors (including diet quality, binge drinking and illicit drug use, among others obtained via questionnaires) in relation to energy drink consumption.
We used data from two large US-based cohorts.
46 390 participants from Nurses\' Health Study 3 (NHS3, n 37 302; ages 16-31) and Growing Up Today Study (GUTS, n 9088, ages 20-55).
Of the 46 390 participants, 13·2 % reported consuming ≥ 1 energy drink every month. Several risky behaviours were associated with energy drink use, including illegal drug use (pooled OR, pOR: 1·45, 95 % CI: 1·16, 1·81), marijuana use (pOR: 1·49, 95 % CI: 1·28, 1·73), smoking (pOR: 1·88. 95 % CI: 1·55, 2·29), tanning bed use (pOR: 2·31, 95 % CI: 1·96, 2·72) and binge drinking (pOR: 2·53, 95 % CI: 2·09, 3·07). Other factors, such as high BMI, e-cigarette use and poor diet quality were found to be significantly associated with higher energy drink consumption (P values < 0·001).
Our findings show that energy drink consumption and high-risk behaviours may be related, which could potentially serve as not only as a talking point for providers to address in outreach and communications with patients, but also a warning sign for medical and other health practitioners.
We conducted cross-sectional analysis including basic descriptive and multivariable-adjusted logistic regression analyses to characterise demographic and behavioural factors (including diet quality, binge drinking and illicit drug use, among others obtained via questionnaires) in relation to energy drink consumption.
We used data from two large US-based cohorts.
46 390 participants from Nurses\' Health Study 3 (NHS3, n 37 302; ages 16-31) and Growing Up Today Study (GUTS, n 9088, ages 20-55).
Of the 46 390 participants, 13·2 % reported consuming ≥ 1 energy drink every month. Several risky behaviours were associated with energy drink use, including illegal drug use (pooled OR, pOR: 1·45, 95 % CI: 1·16, 1·81), marijuana use (pOR: 1·49, 95 % CI: 1·28, 1·73), smoking (pOR: 1·88. 95 % CI: 1·55, 2·29), tanning bed use (pOR: 2·31, 95 % CI: 1·96, 2·72) and binge drinking (pOR: 2·53, 95 % CI: 2·09, 3·07). Other factors, such as high BMI, e-cigarette use and poor diet quality were found to be significantly associated with higher energy drink consumption (P values < 0·001).
Our findings show that energy drink consumption and high-risk behaviours may be related, which could potentially serve as not only as a talking point for providers to address in outreach and communications with patients, but also a warning sign for medical and other health practitioners.
摘要：
目的：能量饮料的消费有多种原因，包括提高精神警觉性和能量。我们评估了人口统计学因素和各种高风险行为与能量饮料消费之间的关联，因为它们可能与不良健康事件有关。
方法：我们进行了横断面分析，包括基本的描述性和多变量调整逻辑回归分析，以表征人口统计学和行为因素（包括饮食质量，暴饮暴食,以及非法药物的使用,通过问卷调查获得的其他内容)与能量饮料消费有关。
方法：我们使用了来自两个大型美国队列的数据。
方法：46,390名来自护士健康研究3（NHS3，n=37,302；年龄16-31）和今天成长研究（GUTS，n=9088，年龄20-55岁）。
结果：在46,390名参与者中，13.2%的人报告每月饮用≥1杯能量饮料。一些危险行为与能量饮料的使用有关，包括非法药物使用(pOR：1.45，95%CI：1.16，1.81)，大麻使用(POR：1.49，95%CI：1.28，1.73)，吸烟（POR：1.88。95%CI：1.55，2.29），日光浴床使用(POR：2.31，95%CI：1.96，2.72)，和暴饮暴食（pOR：2.53，95%CI：2.09，3.07）。其他因素,例如高体重指数（BMI），电子烟的使用，发现不良的饮食质量与较高的能量饮料消耗显着相关（P值<0.001）。
结论：我们的研究结果表明，能量饮料消费和高风险行为可能有关，这可能不仅是提供者在与患者的外展和沟通中解决的话题，也是医疗和其他健康从业者的警告标志。
方法：我们进行了横断面分析，包括基本的描述性和多变量调整逻辑回归分析，以表征人口统计学和行为因素（包括饮食质量，暴饮暴食,以及非法药物的使用,通过问卷调查获得的其他内容)与能量饮料消费有关。
方法：我们使用了来自两个大型美国队列的数据。
方法：46,390名来自护士健康研究3（NHS3，n=37,302；年龄16-31）和今天成长研究（GUTS，n=9088，年龄20-55岁）。
结果：在46,390名参与者中，13.2%的人报告每月饮用≥1杯能量饮料。一些危险行为与能量饮料的使用有关，包括非法药物使用(pOR：1.45，95%CI：1.16，1.81)，大麻使用(POR：1.49，95%CI：1.28，1.73)，吸烟（POR：1.88。95%CI：1.55，2.29），日光浴床使用(POR：2.31，95%CI：1.96，2.72)，和暴饮暴食（pOR：2.53，95%CI：2.09，3.07）。其他因素,例如高体重指数（BMI），电子烟的使用，发现不良的饮食质量与较高的能量饮料消耗显着相关（P值<0.001）。
结论：我们的研究结果表明，能量饮料消费和高风险行为可能有关，这可能不仅是提供者在与患者的外展和沟通中解决的话题，也是医疗和其他健康从业者的警告标志。
