%0期刊文章%@ 2291-5222 %I JMIR出版公司%V 3%卡塔尔世界杯8强波胆分析 N 3% P e77% T低质量的免费教练应用程序与美国运动医学学院指南:回顾当前移动应用% Modave,弗朗索瓦·%一扁,江%莱维特,特雷弗% Bromwell,詹妮弗%哈里斯三世,查尔斯%文森特,希瑟% +佛罗里达大学,健康状况和政策,CTRB 2243邮政信箱100177、2004 Mowry路,盖恩斯维尔,佛罗里达州,32610年,美国,1 352 294 5984,modavefp@ufl.edu % K程序% K健身% K mHealth % K移动教练% K肥胖% K质量% K减肥% D 2015% 7 24.07.2015 % 9审查% J JMIR mHealth uHealth % G英语% X背景:低体力活动水平是慢性疾病、体重失调和死亡率的重要因素。近70%的美国人超重，35%的人肥胖。据估计，肥胖每年造成1470亿美元的医疗保健费用，以及高达9500万年的生命费用。虽然不良的营养习惯仍然是罪魁祸首，但缺乏体育活动是肥胖流行和相关生活方式疾病的重要原因。在过去的10年里，移动设备已经无处不在，有越来越多的移动应用程序正在开发，以促进身体活动，特别是为活跃的人。然而，还没有对它们的质量进行系统评估，以遵循健全的健身原则和科学证据的参数，或适合各种健身水平。本文旨在填补这一空白，并评估iOS移动设备上的移动教练应用程序的质量。方法:在一台iPhone设备上确定并审查了30个流行的与体育活动编程有关的移动应用程序。 These apps met the inclusion criteria and provided specific prescriptive fitness and exercise programming content. The content of these apps was compared against the current guidelines and fitness principles established by the American College of Sports Medicine (ACSM). A weighted scoring method based on the recommendations of the ACSM was developed to generate subscores for quality of programming content for aerobic (0-6 scale), resistance (0-6 scale), and flexibility (0-2 scale) components using the frequency, intensity, time, and type (FITT) principle. An overall score (0-14 scale) was generated from the subscores to represent the overall quality of a fitness coaching app. Results: Only 3 apps scored above 50% on the aerobic component (mean 0.7514, SD 1.2150, maximum 4.1636), 4 scored above 50% on the resistance/strength component (mean 1.4525, SD 1.2101, maximum 4.1094), and no app scored above 50% on the flexibility component (mean 0.1118, SD 0.2679, maximum 0.9816). Finally, only 1 app had an overall score (64.3%) above 50% (mean 2.3158, SD 1.911, maximum 9.0072). Conclusions: There are over 100,000 health-related apps. When looking at popular free apps related to physical activity, we observe that very few of them are evidence based, and respect the guidelines for aerobic activity, strength/resistance training, and flexibility, set forth by the ACSM. Users should exercise caution when adopting a new app for physical activity purposes. This study also clearly identifies a gap in evidence-based apps that can be used safely and effectively to start a physical routine program, develop fitness, and lose weight. App developers have an exciting opportunity to improve mobile coaching app quality by addressing these gaps. %M 26209109 %R 10.2196/mhealth.4669 %U http://mhealth.www.mybigtv.com/2015/3/e77/ %U https://doi.org/10.2196/mhealth.4669 %U http://www.ncbi.nlm.nih.gov/pubmed/26209109