首页> 外文期刊>International journal of medical informatics >Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions
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Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions

机译:我们确定移动健康真的可以移动吗?在两次远程减肥手术中对移动设备使用情况的检查

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Background: The "m" in mHealth is often thought of as the ability to receive health information and monitor behaviors on the go. Little is known about how people actually use mobile vs. traditional access methods and if access method affects engagement and health outcomes. Methods: This study examines the 3-month outcomes of two mobile weight loss interventions (Pounds Off Digitally (POD) and mobile POD (mPOD)) where participants were required to own a mobile device for study entry and received weight loss information via podcast. Only participants in both studies who were randomized to receive the same theory-based podcast (TBP) were used in this analysis. In POD, 41 participants were randomized to the TBP condition (37 to a control not included in this analyses). In mPOD, 49 participants were randomized to the TBP (n=49) and 47 to the TBP + mobile group (a self-monitoring app and Twitter app for social support). The goal of this study is to examine how participants accessed study components and to examine how type of device impacts engagement and weight loss. Results: Examining data from both studies in aggregate, despite a mobile delivery method, 58% of participants reported using a non-mobile device to access the majority of the podcasts (desktop computers), 76% accessed the podcasts mostly at their home or work, and 62% were mainly non-mobile (e.g., sitting at work) when listening. Examining objective download data for mPOD, 49% of downloads (2889/5944) originated from non-mobile delivery methods vs. mobile platforms (3055/5944). At 3 months, 55% of Twitter posts originated from the website (n = 665 posts) vs. a mobile app (n = 540; 45%). There was no difference in the number of podcasts participants reported listening to by device. There were more Twitter posts by mobile app users (51±11) than Twitter website users (23±6, p<0.05). There was a trend (p = 0.055) in greater weight loss among mobile users for podcasts (-3.5 ± 0.5%) as compared to non-mobile users (-2.5 ±0.5%). Weight loss was significantly greater in Twitter mobile app users (-5.6 ±0.9%) than website users (-2.2±0.5%, p <0.01). Conclusion: Type of device used for podcast listening did not affect engagement but there was a trend toward greater weight loss among mobile users. Method of Twitter posting was associated with engagement and weight loss with mobile app users posting more to Twitter and losing more weight.
机译:背景:mHealth中的“ m”通常被认为是在旅途中接收健康信息和监视行为的能力。人们对人们如何实际使用移动访问方式与传统访问方式知之甚少,并且访问方式是否会影响参与度和健康结果。方法:本研究检查了两种移动减肥干预(数字磅(POD)和移动POD(mPOD))的三个月结果,参与者需要参与者拥有移动设备才能进行研究并通过播客接收减肥信息。在这项研究中,只有两项研究的参与者被随机分配接受相同的基于理论的播客(TBP)。在POD中,将41名参与者随机分为TBP病情(此分析中未包括37名对照)。在mPOD中,将49位参与者随机分配到TBP(n = 49),将47位参与者随机分配到TBP +移动组(一个用于社会支持的自我监控应用程序和Twitter应用程序)。这项研究的目的是检查参与者如何使用研究组件,以及检查设备类型如何影响参与度和减肥。结果:尽管采用了移动传送方式,但从两项研究中汇总了数据,有58%的参与者表示使用非移动设备访问了大多数播客(台式计算机),有76%的参与者大部分是在家中或工作场所访问了播客,而62%的人在聆听时主要是不能移动的(例如,坐在工作中)。在检查mPOD的客观下载数据时,有49%(2889/5944)的下载源自非移动交付方式与移动平台(3055/5944)的对比。在3个月的时间里,有55%的Twitter帖子来自网站(n = 665个帖子),而移动应用程序(n = 540; 45%)。参与者报告通过设备收听的播客数量没有差异。移动应用程序用户(51±11)的Twitter帖子数量多于Twitter网站用户(23±6,p <0.05)。与非移动用户(-2.5±0.5%)相比,播客的移动用户(-3.5±0.5%)体重减轻有趋势(p = 0.055)。 Twitter移动应用程序用户的减肥(-5.6±0.9%)显着大于网站用户(-2.2±0.5%,p <0.01)。结论:用于播客收听的设备类型不会影响参与度,但存在移动用户体重减轻的趋势。 Twitter发布的方法与参与度和体重减轻相关,移动应用程序用户在Twitter上发布更多信息并减轻体重。

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