[0杂志文章%@ 1438-8871 %I Gunther Eysenbach %V 12% N 4 %P e69 %T Dropout，非使用损耗和预处理预测因素在商业网络减肥计划中% a Neve,Melinda J % a Collins,Clare E % a Morgan,Philip J %+健康科学学院，纽卡斯尔大学，Hunter Building (HA12)， University Drive, Callaghan, 2308, Australia, 61 2 49217374，melinda.neve@newcastle.edu.au减肥互联网商业部门减肥保留率背景:了解预测保留率和网站使用的因素对于开发有效的基于网络的减肥干预措施至关重要。然而，低留存率(退出流失)和网站利用率(不使用流失)是影响网络项目有效性的主要因素。目的:该研究旨在(1)描述辍学和非使用损耗的患病率，(2)在基于web的商业减肥计划参与者队列中检查非使用损耗的预处理预测因子。方法:参与者在2007年8月15日至2008年5月31日期间参加了澳大利亚最大减肥者俱乐部的在线项目。只有那些订阅了12周或52周的人被纳入这项研究。所有数据均由项目所有者SP Health Co Pty Ltd (Sydney, Australia)收集，并以“未识别”的形式提供。收集的数据包括对预处理调查(社会人口统计和行为特征)、订阅历史(注册日期和订阅结束)和网站使用(登录、饮食和锻炼日记条目、称重和论坛帖子)的回应。如果参与者在12周或52周时持有积极的订阅计划，他们将被归类为该计划的成员。如果参与者在12周或52周后停止使用网站的所有功能，并且没有返回，他们就被归类为非用户。 Predictors of nonusage attrition were explored using Cox proportional hazards regression analysis. Results: Of the 9599 eligible participants, 6943 (72%) subscribed to the program for 12 weeks, and 2656 (28%) subscribed for 52 weeks. Of all participants, 31% (2975/9599) were classified as overweight, 61% (5866/9599) were classified as obese, 86% (8279/9599) were female, and participants’ mean (SD) age was 35.7 (9.5) years. The 12 week and 52 week subscribers’ retention rates were 97% and 77% respectively. Of 12 week subscribers, 35% were classified as program “users” after 12 weeks, and 30% of 52 week subscribers were classified as “users” after 52 weeks. Significant predictors of nonusage attrition among 12 week subscribers included age (hazard ratio for 45 to 55 years of age = 0.83, 95% confidence interval [CI] 0.73 - 0.93, P = .001; hazard ratio for 55 to 65 years of age = 0.80, 95% CI 0.66 - 0.99, P = .04), exercise level (hazard ratio = 0.76, 95% CI 0.72 - 0.81, P < .001), emotional eating (hazard ratio = 1.11, 95% CI 1.04 - 1.18, P = .001), eating breakfast (hazard ratio = 0.88, 95% CI 0.82 - 0.95, P = .001), and skipping meals (hazard ratio = 1.12, 95% CI 1.04 -1.19, P = .001). For 52 week subscribers, eating breakfast (hazard ratio = 0.88, 95% CI 0.79 - 0.99, P = .04) and not drinking tea or coffee with sugar (hazard ratio = 1.23, 95% CI 1.11 - 1.37, P < .001) were the pretreatment characteristics that significantly decreased risk of nonusage attrition. Conclusions: The findings demonstrate a high prevalence of nonusage attrition among a cohort of commercial Web-based weight loss program participants. Several sociodemographic and behavioral factors were shown to independently predict nonusage attrition. %M 21156470 %R 10.2196/jmir.1640 %U //www.mybigtv.com/2010/4/e69/ %U https://doi.org/10.2196/jmir.1640 %U http://www.ncbi.nlm.nih.gov/pubmed/21156470