首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >The Energy to Smoke: Examining the Longitudinal Association between Beverage Consumption and Smoking and Vaping Behaviours among Youth in the COMPASS Study
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The Energy to Smoke: Examining the Longitudinal Association between Beverage Consumption and Smoking and Vaping Behaviours among Youth in the COMPASS Study

机译:吸烟的能量:在指南针研究中检查饮料消费和吸烟和禁毒行为之间的纵向关联

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摘要

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.
机译:该研究检测了加拿大青少年中糖加甜和/或含咖啡因饮料消费和吸烟/蒸汽行为之间的纵向关联。使用来自指南针研究的纵向数据(2015/16至2017/18),开发了四种模型,以研究饮料消耗是否在青春期的吸烟和吐温行为中解释了可变性:(1)吸烟起始,(2)吐温引发,(3 )当前的吸烟状态,和(4)电流Vaping状态。调整模型的人口因子。多项式Lo​​git模型用于1,2和3.二进制逻辑回归模型用于模型4.在所有模型中识别出饮料消耗和吸烟/蒸气行为的频率变化之间的关联。饮料消费的一天增加与吸烟起始(或= 1.38,95%CI:1.25,1.51),Vaping发起(或= 1.23,95%Ci:1.14,1.32),鉴定为当前吸烟者(或= 1.17,95%CI:1.01,1.35),目前蒸煮(或= 1.08,95%CI:1.04,111)。高能量饮料消费的变化是吸烟行为的最佳预测因子和呕吐启动,而不是目前的探测状态。鉴于吸烟和呕吐的健康后果及其与高能量饮料和咖啡消费的关联,防止吸烟/呕吐启动的政策举措,并限制青年访问这些饮料,请求考虑。

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