Wilson Sayre E, Lavoie Hannah A, Berey Benjamin L, Frohe Tessa, Rowland Bonnie H P, Hone Liana S E, Leeman Robert F
Department of Public Health and Health Sciences, Bouvé College, Northeastern University, Boston, Massachusetts, USA.
Department of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida, USA.
Alcohol Clin Exp Res (Hoboken). 2024 Nov;48(11):2188-2199. doi: 10.1111/acer.15455. Epub 2024 Sep 30.
Mobile health (mHealth) technology use may reduce alcohol use and related negative consequences; however, little is known about its efficacy without prompting from researchers or pay-per-use. This exploratory analysis assessed relationships between mHealth technology use frequency and alcohol-use outcomes.
Young adults who drink heavily (N = 97, M = 23, 51% male, 64% non-Hispanic White, M = 21) had the option to use three mHealth technologies (breathalyzer device/app, blood alcohol content estimator app, drink counting via text message) while drinking for 2 weeks. Relationships between alcohol-related outcomes and any, multiple, and specific mHealth technology use across study days and drinking days were evaluated via bivariate correlations and multiple regressions.
Participants used one or more mHealth technologies on approximately 68% of drinking days (33% of field days), with multiple technologies used on 34% of drinking days. Bivariate correlations revealed that a higher percentage of study days with any mHealth technology use was related to higher mean weekly drinks. However, a higher percentage of drinking days with any mHealth technology use was related to lower mean weekly drinks, percent of heavy and high-intensity drinking days, and negative consequences. There were several significant, inverse correlations between alcohol variables and using the mHealth technologies that provided personalized feedback. Multiple regression analyses (holding sex and baseline alcohol variables constant) indicated that a higher percentage of drinking days with any mHealth technology use was related to lower mean weekly drinks and lower percentage of heavy drinking days.
Using mHealth technologies to moderate drinking without direct prompting from the research team or per-use incentives was related to less overall alcohol use and heavy drinking. This indicates potential real-world engagement with mHealth apps to assist with in-the-moment drinking. Normalizing mHealth technology use during drinking could help curb the public health crisis around harmful alcohol use in young adult populations.
移动健康(mHealth)技术的使用可能会减少酒精使用及其相关的负面后果;然而,在没有研究人员提示或按使用付费的情况下,其功效鲜为人知。这项探索性分析评估了移动健康技术使用频率与酒精使用结果之间的关系。
大量饮酒的年轻人(N = 97,平均年龄 = 23岁,51%为男性,64%为非西班牙裔白人,平均年龄 = 21岁)在饮酒两周期间可以选择使用三种移动健康技术(呼气酒精含量测定仪设备/应用程序、血液酒精含量估算应用程序、通过短信计数饮酒量)。通过双变量相关性分析和多元回归分析,评估了在研究日和饮酒日与酒精相关结果以及任何、多种和特定移动健康技术使用之间的关系。
参与者在大约68%的饮酒日(33%的实地考察日)使用了一种或多种移动健康技术,34%的饮酒日使用了多种技术。双变量相关性分析显示,使用任何移动健康技术的研究日比例越高,与每周平均饮酒量越高有关。然而,使用任何移动健康技术的饮酒日比例越高,与每周平均饮酒量越低、重度和高强度饮酒日的百分比越低以及负面后果越少有关。酒精变量与提供个性化反馈的移动健康技术使用之间存在若干显著的负相关。多元回归分析(保持性别和基线酒精变量不变)表明,使用任何移动健康技术的饮酒日比例越高,与每周平均饮酒量越低和重度饮酒日百分比越低有关。
在没有研究团队直接提示或使用激励措施的情况下,使用移动健康技术来适度饮酒与总体酒精使用和重度饮酒减少有关。这表明在现实世界中,人们有可能使用移动健康应用程序来辅助即时饮酒控制。在饮酒期间使移动健康技术的使用常态化,有助于遏制年轻成年人群体中有害酒精使用所引发的公共卫生危机。