@Article{信息:doi 10.2196 / / jmir。7928，作者=“Paz Castro, Raquel and Haug, Severin and Filler, Andreas and Kowatsch, Tobias and Schaub, Michael P”，标题=“基于手机的青少年戒烟干预及其与参与者特征和结果的关系”，期刊=“J Med Internet Res”，年=“2017”，月=“11”，日=“01”，卷=“19”，数=“11”，页=“e356”，关键词=“烟草;饮酒;青少年;移动电话;背景:虽然手机戒烟计划是促进青少年戒烟的一种很有前途的方式，但很少有人知道青少年实际会如何使用它们。目的:本研究的目的是确定青少年参与手机戒烟计划的轨迹，以及这些轨迹与基线特征和治疗结果的关系。方法:我们对一项研究的数据集进行了二次数据分析，该研究比较了职业和高中班级招募的青少年(N=1418)的手机戒烟和酒精综合干预与仅戒烟干预。在为期3个月的干预期间，两个干预组的参与者每周都会收到一条短信提示，要么评估与吸烟相关的目标行为，要么鼓励他们参加测试或信息竞赛。进行序列分析以确定接合轨迹。 Analyses were conducted to identify predictors of engagement trajectory and associations between engagement trajectories and treatment outcomes. Results: Three engagement trajectories emerged: (1) stable engagement (646/1418, 45.56{\%}), (2) decreasing engagement (501/1418, 35.33{\%}), and (3) stable nonengagement (271/1418, 19.11{\%}). Adolescents who were younger, had no immigrant background, perceived more benefits of quitting smoking, and reported binge drinking preceding the baseline assessment were more likely to exhibit stable engagement. Due to different reach of more engaged and less engaged participants at follow-up, three statistical models (complete-cases, last-observation-carried-forward, and multiple imputation) for the associations of engagement trajectory and smoking outcome were tested. For 7-point smoking abstinence, no association was revealed to be statistically significant over all three models. However, decreasing engagement with the program was associated over all three models, with greater reductions in daily tobacco use than nonengagement. Conclusions: The majority of tobacco-smoking adolescents engaged extensively with a mobile phone--based smoking cessation program. However, not only stable engagement but also decreasing engagement with a program might be an indicator of behavioral change. Measures to avoid nonengagement among adolescents appear especially necessary for older smokers with an immigrant background who do not drink excessively. In addition, future studies should not only examine the use of specific program components but also users' engagement trajectories to better understand the mechanisms behind behavioral change. ", issn="1438-8871", doi="10.2196/jmir.7928", url="//www.mybigtv.com/2017/11/e356/", url="https://doi.org/10.2196/jmir.7928", url="http://www.ncbi.nlm.nih.gov/pubmed/29092811" }