Demographic and behavioural correlates of energy drink consumption.

Demographic and behavioural correlates of energy drink consumption.
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DOI:
10.1017/s1368980022001902
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发表时间:
2023-07
影响因子:
3.2
通讯作者:
Wolpert, Beverly J.
Wolpert, Beverly J.
中科院分区:
医学3区
文献类型:
--
作者:
Markon, Andre O.;Ding, Ming;Chavarro, Jorge E.;Wolpert, Beverly J.

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人们饮用能量饮料的原因多种多样,包括提高精神警觉性和精力。我们评估了人口统计因素和各种高危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。我们进行了横断面分析,包括基本描述性和多变量调整的Logistic回归分析,以表征与能量饮料消费有关的人口和行为因素(包括饮食质量、酗酒和非法药物使用等)。我们使用了来自美国两个大型队列的数据。来自护士健康研究3(NHS3,n 37 302;年龄16-31岁)和今日成长研究(Guts,n 9088,20-55岁)的46 390名参与者。在46390名参与者中,13.2%的人报告每月消费≥1功能饮料。一些危险行为与能量饮料的使用有关,包括非法吸毒(合并OR:1.45,95%CI:1.16,1.81)、吸食大麻(POR:1.49,95%CI:1.28,1.73)、吸烟(POR:1.88)。95%CI:1·55,2·29)、晒黑床(POR:2·31,95%CI:1·96,2·72)、酗酒(POR:2·53,95%CI:2·09,3·07)。其他因素,如高BMI、电子烟的使用和糟糕的饮食质量被发现与更高的能量饮料消耗量显著相关(P值为0.001)。我们的发现表明,能量饮料的消费与高危行为可能是相关的,这不仅可能成为提供者在外联和与患者沟通时需要解决的一个话题,也是对医生和其他健康从业者的一个警告信号。
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.