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Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics

机译:谁是来自健康生活方式网站的移动应用程序用户? 分析应用程序使用模式和用户特征

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摘要

Abstract The use of online communities and websites for health information has proliferated along with the use of mobile apps for managing health behaviors such as diet and exercise. The scarce evidence available to date suggests that users of these websites and apps differ in significant ways from non-users but most data come from US- and UK-based populations. In this study, we recruited users of nutrition, weight management, and fitness-oriented websites in the Czech Republic to better understand who uses mobile apps and who does not, including user sociodemographic and psychological profiles. Respondents aged 13–39 provided information on app use through an online survey (n = 669; M age = 24.06, SD = 5.23; 84% female). Among users interested in health topics, respondents using apps for managing nutrition, weight, and fitness (n = 403, 60%) were more often female, reported more frequent smartphone use, and more expert phone skills. In logistic regression models, controlling for sociodemographics, web, and phone activity, mHealth app use was predicted by levels of excessive exercise (OR 1.346, 95% CI 1.061–1.707, p
机译:摘要在线社区和卫生信息的使用以及使用移动应用程序来管理饮食和锻炼等健康行为的使用。可用迄今为止可用的稀缺证据表明,这些网站和应用程序的用户从非用户的重要方面不同,但大多数数据来自我们和英国的人口。在这项研究中,我们招募了捷克共和国的营养,体重管理和健身导向的网站的用户,以更好地了解谁使用移动应用程序,并且谁没有,包括用户社会阶乘和心理概况。 13-39岁的受访者通过在线调查提供了有关应用程序使用的信息(n = 669; m年龄= 24.06,sd = 5.23; 84%的女性)。在对健康主题感兴趣的用户中,使用应用程序管理营养,重量和健身(n = 403,60%)的受访者更频繁地,据报道更频繁的智能手机使用,以及更多的专家手机技能。在Logistic回归模型中,通过过度运动的水平预测MHEALTH应用程序的控制,网络和电话活动,预测MHECHEATH应用程序(或1.346,95%CI 1.061-1.707,P

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