%0期刊文章@ 1438- 8871% I JMIR Publicat卡塔尔世界杯8强波胆分析ions Inc. V 16% N 10% P e201% T了解体重管理混合网站和智能手机应用程序的使用:混合方法研究%A莫里森，Leanne G . Hargood,Charlie Lin,Sharon Xiaowen Dennison,Laura Joseph,Judith Hughes,Stephanie Michaelides,Danius T . A Johnston,Derek Johnston,Marie Michie,Susan Little,Paul Smith,Peter WF . A Weal,Mark J . A Yardley,Lucy +健康心理学应用中心，南安普顿大学海菲尔德校区，SO17 1BJ，英国，44 2380597222 ext 7222，l.morrison@soton.ac.uk %K定性研究%K减肥%K行为研究%K移动应用程序%K互联网%K健康%K计划可接受性%K行为%K混合方法%D 2014 %7 22.10.2014 %9原始论文%J J医学互联网Res %G英语%X背景:移动电话技术的进步为加强健康行为改变干预的及时交付提供了巨大的潜力。基于智能手机的健康干预(应用程序)的开发是一个快速发展的研究领域，但很少有纵向研究人们如何在日常生活中体验和使用这些应用程序，特别是在基于Web和基于应用程序的混合干预的背景下。目的:本研究采用深入的混合方法设计，以检查(1)在与基于web的体重管理干预(POWeR)同时提供时，访问体重管理应用(POWeR Tracker)对自我报告的目标投入(即动机、自我效能、意识、努力、成就)的影响;(2)使用和查看POWeR Tracker。方法:为13名成年人提供POWeR，并对其进行为期4周的监测。每隔两周(即第1周和第3周或第2周和第4周)提供一次POWeR Tracker。参与者每天通过自我报告来衡量目标投入程度。研究人员使用混合效应模型来检查在POWeR Tracker可用和不可用的几周内，目标投入的变化，以及个体参与者之间目标投入的变化程度是否不同。POWeR和POWeR Tracker的使用情况会被自动记录下来。通过电话访谈和归纳主题分析，进一步探讨参与者使用POWeR和POWeR Tracker的体验。 Results: Access to POWeR Tracker was associated with a significant increase in participants’ awareness of their eating (β1=0.31, P=.04) and physical activity goals (β1=0.28, P=.03). The level of increase varied between individual participants. Usage data showed that participants used the POWeR website for similar amounts of time during the weeks when POWeR Tracker was (mean 29 minutes, SD 31 minutes) and was not available (mean 27 minutes, SD 33 minutes). POWeR Tracker was mostly accessed in short bursts (mean 3 minutes, SD 2 minutes) during convenient moments or moments when participants deemed the intervention content most relevant. The qualitative data indicated that nearly all participants agreed that it was more convenient to access information on-the-go via their mobiles compared to a computer. However, participants varied in their views and usage of the Web- versus app-based components and the informational versus tracking tools provided by POWeR Tracker. Conclusions: This study provides evidence that smartphones have the potential to improve individuals’ engagement with their health-related goals when used as a supplement to an existing online intervention. The perceived convenience of mobile access to information does not appear to deter use of Web-based interventions or strengthen the impact of app access on goal engagement. A mixed-methods design enabled exploration of individual variation in daily usage of the app-based tools. %M 25355131 %R 10.2196/jmir.3579 %U //www.mybigtv.com/2014/10/e201/ %U https://doi.org/10.2196/jmir.3579 %U http://www.ncbi.nlm.nih.gov/pubmed/25355131