School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).
JMIR Mhealth Uhealth. 2024 Sep 3;12:e60052. doi: 10.2196/60052.
The relationships between alcohol marketing exposure, alcohol use, and purchase have been widely studied. However, prospective studies examining the causal relationships in real-world settings using mobile health tools are limited.
We used ecological momentary assessment (EMA) to examine both the within-person- and between-person-level effects of alcohol marketing exposure on any alcohol use, amount of alcohol use, any alcohol purchase, and frequency of alcohol purchase among university students.
From January to June 2020, we conducted a prospective cohort study via EMA among university students in Hong Kong who reported current drinking. Over 14 consecutive days, each participant completed 5 fixed-interval, signal-contingent EMAs daily via a smartphone app. Each EMA asked about the number and types of alcohol marketing exposures, the amount and types of alcohol used, and whether any alcohol was purchased, all within the past 3 hours. We used 2-part models, including multilevel logistic regressions and multilevel gamma regressions, to examine if the number of alcohol marketing exposure was associated with subsequent alcohol use and alcohol purchase.
A total of 49 students participated, with 33% (16/49) being male. The mean age was 22.6 (SD 2.6) years. They completed 2360 EMAs (completion rate: 2360/3430, 68.8%). Participants reported exposure to alcohol marketing in 5.9% (140/2360), alcohol use in 6.1% (145/2360), and alcohol purchase in 2.4% (56/2360) of all the EMAs. At the between-person level, exposure to more alcohol marketing predicted a higher likelihood of alcohol use (adjusted odd ratio [AOR]=3.51, 95% CI 1.29-9.54) and a higher likelihood of alcohol purchase (AOR=4.59, 95% CI 1.46-14.49) the following day. Exposure to more alcohol marketing did not increase the amount of alcohol use or frequency of alcohol purchases the following day in participants who used or purchased alcohol. At the within-person level, exposure to more alcohol marketing was not associated with a higher likelihood of alcohol use, amount of alcohol use, higher likelihood of alcohol purchase, or frequency of alcohol purchases the following day (all P>.05). Each additional exposure to alcohol marketing within 1 week predicted an increase of 0.85 alcoholic drinks consumed in the following week (adjusted B=0.85, 95% CI 0.09-1.61). On days of reporting alcohol use, the 3 measures for alcohol marketing receptivity were not associated with more alcohol use or purchase (all P>.05).
By using EMA, we provided the first evidence for the effect of alcohol marketing exposure on initiating alcohol use and purchase in current-drinking university students. Our findings provide evidence of the regulation of alcohol marketing for the reduction of alcohol use and purchase among young adults.
酒精营销曝光、酒精使用和购买之间的关系已被广泛研究。然而,使用移动健康工具在真实环境中进行前瞻性研究,以检验因果关系的研究还很有限。
我们使用生态瞬时评估(EMA)来检验大学生中酒精营销暴露对任何酒精使用、酒精使用量、任何酒精购买以及酒精购买频率的个体内和个体间影响。
2020 年 1 月至 6 月,我们通过香港大学生的 EMA 进行了一项前瞻性队列研究,这些大学生报告了当前饮酒情况。在 14 天的连续时间里,每个参与者每天通过智能手机应用程序完成 5 次固定间隔、信号触发的 EMA。每个 EMA 在过去 3 小时内询问了酒精营销曝光的数量和类型、饮酒的数量和类型,以及是否购买了任何酒精。我们使用两部分模型,包括多水平逻辑回归和多水平伽马回归,来检验酒精营销曝光数量与随后的酒精使用和购买是否存在关联。
共有 49 名学生参与了研究,其中 33%(16/49)为男性。平均年龄为 22.6(SD 2.6)岁。他们完成了 2360 次 EMA(完成率:2360/3430,68.8%)。参与者在 5.9%(140/2360)的 EMA 中报告了酒精营销暴露,6.1%(145/2360)的 EMA 中报告了酒精使用,2.4%(56/2360)的 EMA 中报告了酒精购买。在个体间水平上,更多的酒精营销暴露预示着第二天更有可能发生酒精使用(调整后的优势比[AOR]=3.51,95%CI 1.29-9.54)和酒精购买(AOR=4.59,95%CI 1.46-14.49)。在使用或购买酒精的参与者中,更多的酒精营销暴露并不会增加第二天的酒精使用量或饮酒频率。在个体内水平上,更多的酒精营销暴露与第二天更高的酒精使用可能性、酒精使用量、更高的酒精购买可能性或饮酒频率增加无关(均 P>.05)。在接下来的一周内,每多接触一次酒精营销,预计接下来一周内将多摄入 0.85 份含酒精饮料(调整后的 B=0.85,95%CI 0.09-1.61)。在报告饮酒的日子里,酒精营销接受度的 3 个衡量指标与更多的饮酒或购买无关(均 P>.05)。
通过使用 EMA,我们首次提供了酒精营销暴露对当前饮酒大学生开始饮酒和购买的影响的证据。我们的研究结果为在年轻人中减少酒精使用和购买而对酒精营销进行监管提供了证据。