@文章{信息:doi/10.2196/35896，作者=“Torres, Luisa和Lee, Joy L和Park, Seho和Di Lorenzo, R Christian和Branam, Jonathan P和Fraser, Shelagh A和Salisbury, Benjamin A”，标题=“保留，禁食模式和减肥与间歇性禁食应用程序:大规模，52周观察研究”，期刊=“JMIR Mhealth Uhealth”，年=“2022”，月=“10”，日=“4”，卷=“10”，数=“10”，页=“e35896”，关键词=“间歇性禁食;time-restricted吃;减肥;肥胖;移动应用;饮食追踪;背景:间歇性禁食(IF)是一种日益流行的饮食控制方法，它关注的是进食的时间而不是摄入的热量的数量和含量。如果从业者通常寻求改善他们的体重和其他健康因素。数以百万计的从业者已经转向专门开发的移动应用程序来帮助他们跟踪和坚持他们的禁食，并监测他们的体重和其他生物特征的变化。目的:本研究旨在量化两款IF手机应用的用户留存率、禁食模式和减肥情况。 We also sought to describe and model starting BMI, amount of fasting, frequency of weight tracking, and other demographics as correlates of retention and weight change. Methods: We assembled height, weight, fasting, and demographic data of adult users (ages 18-100 years) of the LIFE Fasting Tracker and LIFE Extend apps from 2018 to 2020. Retention for up to 52 weeks was quantified based on recorded fasts and correlated with user demographics. Users who provided height and at least 2 readings of weight and whose first fast and weight records were contemporaneous were included in the weight loss analysis. Fasting was quantified as extended fasting hours (EFH; hours beyond 12 in a fast) averaged per day (EFH per day). Retention was modeled using a Cox proportional hazards regression. Weight loss was analyzed using linear regression. Results: A total of 792,692 users were followed for retention based on 26 million recorded fasts. Of these, 132,775 (16.7{\%}) users were retained at 13 weeks, 54,881 (6.9{\%}) at 26 weeks, and 16,478 (2.1{\%}) at 52 weeks, allowing 4 consecutive weeks of inactivity. The survival analysis using Cox regression indicated that retention was positively associated with age and exercise and negatively associated with stress and smoking. Weight loss in the qualifying cohort (n=161,346) was strongly correlated with starting BMI and EFH per day, which displayed a positive interaction. Users with a BMI ≥40 kg/m2 lost 13.9{\%} of their starting weight by 52 weeks versus a slight weight gain on average for users with starting BMI <23 kg/m2. EFH per day was an approximately linear predictor of weight loss. By week 26, users lost over 1{\%} of their starting weight per EFH per day on average. The regression analysis using all variables was highly predictive of weight change at 26 weeks (R2=0.334) with starting BMI and EFH per day as the most significant predictors. Conclusions: IF with LIFE mobile apps appears to be a sustainable approach to weight reduction in the overweight and obese population. Healthy weight and underweight individuals do not lose much weight on average, even with extensive fasting. Users who are obese lose substantial weight over time, with more weight loss in those who fast more. ", issn="2291-5222", doi="10.2196/35896", url="https://mhealth.www.mybigtv.com/2022/10/e35896", url="https://doi.org/10.2196/35896", url="http://www.ncbi.nlm.nih.gov/pubmed/36194463" }