减少职业学校学生药物使用、赌博和数字媒体使用的手机应用干预:随机对照试验干预组的探索性分析。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kristin Grahlher, Matthis Morgenstern, Benjamin Pietsch, Elena Gomes de Matos, Monika Rossa, Kirsten Lochbühler, Anne Daubmann, Rainer Thomasius, Nicolas Arnaud
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引用次数: 0

摘要

背景介绍青少年时期通常是使用药物和接触数字媒体的高峰期,并可能成为主要的健康风险。预防活动主要是在正规学校环境中开展的,没有接触到这一系统之外的青少年。我们专门为职业学校学生开发了一款手机应用程序("Meine Zeit ohne"),鼓励参与者在两周内自愿减少或戒除自我选择的成瘾行为,包括使用药物、赌博或与媒体相关的习惯,如游戏或社交媒体使用。一项随机研究的结果表明,使用该应用程序后,对促进健康的行为改变有显著影响。本探索性研究的重点是该研究的干预部分,关注接受度和不同效果:本研究的目的是:(1) 检查使用该应用的参与者的特征;(2) 根据应用的使用方式和参与者的特征,探讨移动干预的有效性;(3) 研究应用使用的变化与参与者基线特征的关系:对干预组研究参与者的日志数据进行了分析,包括应用程序的使用频率(以天为单位)、特定挑战的选择以及挑战选择的个人相关性(即用户超过了某种成瘾行为的预定风险分值)("一致使用":例如,吸烟者选择了与减少或戒烟相关的挑战)。二分结果(有变化与无变化)指的是上个月的药物使用、赌博和媒体相关行为。这些变量之间的关系采用二元、多层次、混合效应逻辑回归模型进行分析:干预组由 2367 名职业学生组成,其中 1458 人(61.6%;平均年龄 19.0 岁,标准差 3.5 岁;830/1458,56.9% 为男性)提供了完整的数据。在这 1458 名学生中,有 894 人(61.3%)开始接受挑战,可以纳入分析(平均年龄为 18.7 岁,标准差为 3.5 岁;363/894,40.6% 为女性)。在这 894 名学生中,有 466 人(52.1%)被认为是应用程序的频繁用户,在两周时间内活跃使用超过 4 天。分析样本中最常选择的挑战领域与社交媒体的使用有关(332/894,37.1%)。在 894 名学生中,共有 407 人(45.5%)选择了与个人相关的行为领域的挑战。当个人选择的挑战领域与行为改变领域相同、选择的挑战与个人相关行为有关以及个人参与不同成瘾行为的风险较高时,应用程序的使用对结果的影响更大:结论:该计划在特定领域的有效性得到了证实,行为领域之间没有溢出效应。有效性似乎取决于应用程序的使用和用户的特征:德国临床试验注册中心 DRKS00023788;https://tinyurl.com/4pzpjkmj.International 注册报告标识符(irrid):RR2-10.1186/s13063-022-06231-x.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile App Intervention to Reduce Substance Use, Gambling, and Digital Media Use in Vocational School Students: Exploratory Analysis of the Intervention Arm of a Randomized Controlled Trial.

Background: During adolescence, substance use and digital media exposure usually peak and can become major health risks. Prevention activities are mainly implemented in the regular school setting, and youth outside this system are not reached. A mobile app ("Meine Zeit ohne") has been developed specifically for vocational students and encourages participants to voluntarily reduce or abstain from a self-chosen addictive behavior including the use of a substance, gambling, or a media-related habit such as gaming or social media use for 2 weeks. Results from a randomized study indicate a significant impact on health-promoting behavior change after using the app. This exploratory study focuses on the intervention arm of this study, focusing on acceptance and differential effectiveness.

Objective: The aims of this study were (1) to examine the characteristics of participants who used the app, (2) to explore the effectiveness of the mobile intervention depending on how the app was used and depending on participants' characteristics, and (3) to study how variations in app use were related to participants' baseline characteristics.

Methods: Log data from study participants in the intervention group were analyzed including the frequency of app use (in days), selection of a specific challenge, and personal relevance (ie, the user was above a predefined risk score for a certain addictive behavior) of challenge selection ("congruent use": eg, a smoker selected a challenge related to reducing or quitting smoking). Dichotomous outcomes (change vs no change) referred to past-month substance use, gambling, and media-related behaviors. The relationship between these variables was analyzed using binary, multilevel, mixed-effects logistic regression models.

Results: The intervention group consisted of 2367 vocational students, and 1458 (61.6%; mean age 19.0, SD 3.5 years; 830/1458, 56.9% male) of them provided full data. Of these 1458 students, 894 (61.3%) started a challenge and could be included in the analysis (mean 18.7, SD 3.5 years; 363/894, 40.6% female). Of these 894 students, 466 (52.1%) were considered frequent app users with more than 4 days of active use over the 2-week period. The challenge area most often chosen in the analyzed sample was related to social media use (332/894, 37.1%). A total of 407 (45.5%) of the 894 students selected a challenge in a behavioral domain of personal relevance. The effects of app use on outcomes were higher when the area of individual challenge choice was equal to the area of behavior change, challenge choice was related to a behavior of personal relevance, and the individual risk of engaging in different addictive behaviors was high.

Conclusions: The domain-specific effectiveness of the program was confirmed with no spillover between behavioral domains. Effectiveness appeared to be dependent on app use and users' characteristics.

Trial registration: German Clinical Trials Register DRKS00023788; https://tinyurl.com/4pzpjkmj.

International registered report identifier (irrid): RR2-10.1186/s13063-022-06231-x.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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