Elavsky Steriani, Smahel David, Machackova Hana
Institute for Research on Children, Youth, and Family, Faculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Transl Behav Med. 2017 Dec;7(4):891-901. doi: 10.1007/s13142-017-0525-x.
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 < .01). Among app users, we found differences in types of apps used by gender, age, and weight status. Controlling for sociodemographics and web and phone use, drive for thinness predicted the frequency of use of apps for healthy eating (β = 0.14, p < .05), keeping a diet (β = 0.27, p < .001), and losing weight (β = 0.33, p < .001), whereas excessive exercise predicted the use of apps for keeping a diet (β = 0.18, p < .01), losing weight (β = 0.12, p < .05), and managing sport/exercise (β = 0.28, p < .001). Sensation seeking was negatively associated with the frequency of use of apps for maintaining weight (β = - 0.13, p < .05). These data unveil the user characteristics of mHealth app users from nutrition, weight management, and fitness websites, helping inform subsequent design of mHealth apps and mobile intervention strategies.
随着用于管理饮食和运动等健康行为的移动应用程序的使用,利用在线社区和网站获取健康信息的情况也日益普遍。迄今为止,为数不多的证据表明,这些网站和应用程序的用户在很多重要方面与非用户存在差异,但大多数数据来自美国和英国人群。在本研究中,我们招募了捷克共和国营养、体重管理和健身相关网站的用户,以更好地了解哪些人使用移动应用程序,哪些人不使用,包括用户的社会人口统计学和心理特征。年龄在13至39岁之间的受访者通过在线调查提供了应用程序使用情况的信息(n = 669;年龄均值 = 24.06,标准差 = 5.23;84%为女性)。在对健康话题感兴趣的用户中,使用应用程序管理营养、体重和健身的受访者(n = 403,占60%)女性比例更高,报告称智能手机使用频率更高,且手机技能更熟练。在逻辑回归模型中,在控制了社会人口统计学、网络和手机活动因素后,过度运动水平可预测移动健康应用程序的使用情况(比值比1.346,95%置信区间1.061 - 1.707,p < .01)。在应用程序用户中,我们发现不同性别、年龄和体重状况的用户使用的应用程序类型存在差异。在控制了社会人口统计学以及网络和手机使用情况后,追求瘦身的心理可预测健康饮食应用程序的使用频率(β = 0.14,p < .05)、坚持节食应用程序的使用频率(β = 0.27,p < .001)以及减肥应用程序的使用频率(β = 0.33,p < .001),而过度运动可预测坚持节食应用程序的使用情况(β = 0.18,p < .01)、减肥应用程序的使用情况(β = 0.12,p < .05)以及运动/锻炼管理应用程序的使用情况(β = 0.28,p < .001)。寻求刺激与维持体重应用程序的使用频率呈负相关(β = - 0.13,p < .05)。这些数据揭示了营养、体重管理和健身网站的移动健康应用程序用户的特征,有助于为后续移动健康应用程序的设计和移动干预策略提供参考。