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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Online intervention engagement predicts smoking cessation
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Online intervention engagement predicts smoking cessation

机译:在线干预参与可以预测戒烟

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Objective. Instead of focusing on individual differences as predictors of quitting ("who they are"), this study focuses on actions ("what they do"). The purpose is to predict smoking abstinence in internet users who may become involved in social activities within the virtual community.Methods. From March, 2009, to July, 2011, users of a web-based smoking cessation program in Germany made data available for a post-hoc evaluation study (n=13,174), including abstinence rates and online activities such as a) posting on a bulletin board after a smoke-free day, b) offering a donation, and c) posting messages throughout their course.Results. Survival analyses for 70days of self-reported non-smoking documented higher success rates for those who made use of one or more of the virtual community activities. Moreover, the effect of making an initial bulletin board entry on 10-week abstinence was mediated by offering a donation and posting messages throughout the course (R 2=0.125). The indirect effect via donation was 0.10 (95% CI 0.06-0.14), and the indirect effect via message posting was 0.31 (95% CI 0.25-0.38).Conclusions. Virtual community activities predict smoking cessation. Shifting the focus from personality characteristics toward behavioral process variables such as intervention engagement might add more substance to smoking cessation studies.
机译:目的。这项研究没有将个人差异作为戒烟的指标(“他们是谁”),而是将重点放在了行动(“他们做什么”)上。目的是预测可能参与虚拟社区内社交活动的互联网用户的戒烟情况。从2009年3月到2011年7月,德国一个基于网络的戒烟计划的用户为事后评估研究(n = 13,174)提供了数据,包括戒酒率和在线活动,例如无烟日后的公告栏,b)提供捐赠,c)在整个课程中张贴消息。结果。自我报告的非吸烟70天生存分析表明,使用一种或多种虚拟社区活动的人成功率更高。此外,通过在整个过程中提供捐赠和张贴消息来介导最初的公告栏条目对10周禁欲的影响(R 2 = 0.125)。通过捐赠的间接影响为0.10(95%CI 0.06-0.14),通过消息发布的间接影响为0.31(95%CI 0.25-0.38)。虚拟社区活动可以预测戒烟情况。将重点从人格特征转向行为过程变量(例如干预参与)可能为戒烟研究增加更多实质。

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