Smartphone-Based Intervention Targeting Norms and Risk Perception Among University Students with Unhealthy Alcohol Use: Secondary Mediation Analysis of a Randomized Controlled Trial.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-02-06 DOI:10.2196/55541
Joseph Studer, John A Cunningham, Elodie Schmutz, Jacques Gaume, Angéline Adam, Jean-Bernard Daeppen, Nicolas Bertholet
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Abstract

Background: Many digital interventions for unhealthy alcohol use are based on personalized normative feedback (PNF) and personalized feedback on risks for health (PFR). The hypothesis is that PNF and PFR affect drinkers' perceptions of drinking norms and risks, resulting in changes in drinking behaviors. This study is a follow-up mediation analysis of the primary and secondary outcomes of a randomized controlled trial testing the effect of a smartphone-based intervention to reduce alcohol use.

Objective: This study aimed to investigate whether perceptions of drinking norms and risks mediated the effects of a smartphone-based intervention to reduce alcohol use.

Methods: A total of 1770 students from 4 higher education institutions in Switzerland (mean age 22.35, SD 3.07 years) who screened positive for unhealthy alcohol use were randomized to receive access to a smartphone app or to the no-intervention control condition. The smartphone app provided PNF and PFR. Outcomes were drinking volume (DV) in standard drinks per week and the number of heavy drinking days (HDDs) assessed at baseline and 6 months. Mediators were perceived drinking norms and perceived risks for health measured at baseline and 3 months. Parallel mediation analyses and moderated mediation analyses were conducted to test whether (1) the intervention effect was indirectly related to lower DV and HDDs at 6 months (adjusting for baseline values) through perceived drinking norms and perceived risks for health at 3 months (adjusting for baseline values) and (2) the indirect effects through perceived drinking norms differed between participants who overestimated or who did not overestimate other people's drinking at baseline.

Results: The intervention's total effects were significant (DV: b=-0.85, 95% bootstrap CI -1.49 to -0.25; HDD: b=-0.44, 95% bootstrap CI -0.72 to -0.16), indicating less drinking at 6 months in the intervention group than in the control group. The direct effects (ie, controlling for mediators) were significant though smaller (DV: b=-0.73, 95% bootstrap CI -1.33 to -0.16; HDD: b=-0.39, 95% bootstrap CI -0.66 to -0.12). For DV, the indirect effect was significant through perceived drinking norms (b=-0.12, 95% bootstrap CI -0.25 to -0.03). The indirect effects through perceived risk (for DV and HDD) and perceived drinking norms (for HDD) were not significant. Results of moderated mediation analyses showed that the indirect effects through perceived drinking norms were significant among participants overestimating other people's drinking (DV: b=-0.17, 95% bootstrap CI -0.32 to -0.05; HDD: b=-0.08, 95% bootstrap CI -0.15 to -0.01) but not significant among those not overestimating.

Conclusions: Perceived drinking norms, but not perceived risks, partially mediated the intervention's effect on alcohol use, confirming one of its hypothesized mechanisms of action. These findings lend support to using normative feedback interventions to discourage unhealthy alcohol use.

Trial registration: ISRCTN Registry 10007691; https://doi.org/10.1186/ISRCTN10007691.

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基于智能手机的干预目标规范与大学生不健康饮酒风险认知:随机对照试验的二次中介分析
背景:许多针对不健康酒精使用的数字干预措施都是基于个性化规范反馈(PNF)和健康风险个性化反馈(PFR)。假设PNF和PFR会影响饮酒者对饮酒规范和风险的认知,从而导致饮酒行为的改变。本研究是一项随机对照试验的主要和次要结果的后续中介分析,该试验测试了基于智能手机的干预减少酒精使用的效果。目的:本研究旨在调查饮酒规范和风险的认知是否介导了基于智能手机的干预减少酒精使用的效果。方法:来自瑞士4所高等教育机构的1770名筛查为不健康酒精使用阳性的学生(平均年龄22.35岁,SD 3.07岁)被随机分为使用智能手机应用程序组和无干预对照组。智能手机应用程序提供了PNF和PFR。结果是在基线和6个月时评估每周标准饮酒量(DV)和重度饮酒天数(hdd)。调节者在基线和3个月时测量感知饮酒规范和感知健康风险。通过平行中介分析和调节中介分析来检验(1)干预效果是否通过感知饮酒规范与6个月时较低的DV和hdd(基线值调整)和3个月时的感知健康风险(基线值调整)间接相关;(2)通过感知饮酒规范的间接影响在高估和不高估他人基线饮酒量的参与者之间存在差异。结果:干预总效果显著(DV: b=-0.85, 95%自举CI -1.49 ~ -0.25;HDD: b=-0.44, 95%自举CI -0.72至-0.16),表明干预组6个月时饮酒量少于对照组。直接效应(即控制介质)虽然较小,但显著(DV: b=-0.73, 95%自举CI -1.33至-0.16;HDD: b=-0.39, 95%引导CI -0.66至-0.12)。对于DV,间接影响通过感知饮酒规范显着(b=-0.12, 95%自举CI -0.25至-0.03)。通过感知风险(对于DV和HDD)和感知饮酒规范(对于HDD)的间接影响不显著。有调节的中介分析结果显示,在高估他人饮酒量的参与者中,通过感知饮酒规范产生的间接影响显著(DV: b=-0.17, 95%自举CI -0.32 ~ -0.05;HDD: b=-0.08, 95% bootstrap CI -0.15至-0.01),但在未高估的组中不显著。结论:感知到的饮酒规范,而不是感知到的风险,部分介导了干预对酒精使用的影响,证实了其假设的作用机制之一。这些发现支持使用规范性反馈干预措施来阻止不健康的酒精使用。试验注册:ISRCTN注册中心10007691;https://doi.org/10.1186/ISRCTN10007691。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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