Fagan Matthew J, Di Sebastiano Katie M, Qian Wei, Leatherdale Scott T, Faulkner Guy
Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Int J Environ Res Public Health. 2021 Apr 7;18(8):3864. doi: 10.3390/ijerph18083864.
This study examined the longitudinal association between changes in sugar-sweetened and/or caffeinated beverage consumption and smoking/vaping behaviour among Canadian adolescents. Using longitudinal data from the COMPASS study (2015/16 to 2017/18), four models were developed to investigate whether beverage consumption explained variability in smoking and vaping behaviour in adolescence: (1) smoking initiation, (2) vaping initiation, (3) current smoking status, and (4) current vaping status. Models were adjusted for demographic factors. Multinomial logit models were used for model 1, 2, and 3. A binary logistic regression model was used for model 4. An association between change in frequency of beverage consumption and smoking/vaping behaviour was identified in all models. A one-day increase in beverage consumption was associated with smoking initiation (OR = 1.38, 95% CI: 1.25, 1.51), vaping initiation (OR = 1.23, 95% CI: 1.14, 1.32), identifying as a current smoker (OR = 1.17, 95% CI: 1.01, 1.35), and currently vaping (OR = 1.08, 95% CI: 1.04, 1.11). Change in high-energy drink consumption was the best predictor of smoking behaviours and vaping initiation but not current vaping status. Given the health consequences of smoking and vaping and their association with high-energy drink and coffee consumption, policy initiatives to prevent smoking/vaping initiation, and to limit youth access to these beverages, warrant consideration.
本研究调查了加拿大青少年中含糖和/或含咖啡因饮料消费变化与吸烟/吸电子烟行为之间的纵向关联。利用COMPASS研究(2015/16至2017/18)的纵向数据,建立了四个模型来研究饮料消费是否能解释青少年吸烟和吸电子烟行为的变异性:(1)开始吸烟,(2)开始吸电子烟,(3)当前吸烟状况,以及(4)当前吸电子烟状况。模型对人口统计学因素进行了调整。模型1、2和3使用多项logit模型。模型4使用二元逻辑回归模型。在所有模型中均发现饮料消费频率变化与吸烟/吸电子烟行为之间存在关联。饮料消费增加一天与开始吸烟(比值比=1.38,95%置信区间:1.25,1.51)、开始吸电子烟(比值比=1.23,95%置信区间:1.14,1.32)、被认定为当前吸烟者(比值比=1.17,95%置信区间:1.01,1.35)以及当前吸电子烟(比值比=1.08,95%置信区间:1.04,1.11)相关。高能量饮料消费的变化是吸烟行为和开始吸电子烟的最佳预测因素,但不是当前吸电子烟状况的预测因素。鉴于吸烟和吸电子烟对健康的影响及其与高能量饮料和咖啡消费的关联,预防吸烟/吸电子烟开始以及限制青少年获取这些饮料的政策举措值得考虑。