Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review.
TL;DR: An up-to-date, comprehensive map of the literature discussing the use of mobile phone and Web 2.0 apps for influencing behaviors related to weight management is provided to understand which technological components and features are likely to result in effective interventions.
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Abstract: Background: Widespread diffusion of mobile phone and Web 2.0 technologies make them potentially useful tools for promoting health and tackling public health issues, such as the increasing prevalence of overweight and obesity. Research in this domain is growing rapidly but, to date, no review has comprehensively and systematically documented how mobile and Web 2.0 technologies are being deployed and evaluated in relation to weight management. Objective: To provide an up-to-date, comprehensive map of the literature discussing the use of mobile phone and Web 2.0 apps for influencing behaviors related to weight management (ie, diet, physical activity [PA], weight control, etc). Methods: A systematic scoping review of the literature was conducted based on a published protocol (registered at PROSPERO: CRD42014010323). Using a comprehensive search strategy, we searched 16 multidisciplinary electronic databases for original research documents published in English between 2004 and 2014. We used duplicate study selection and data extraction. Using an inductively developed charting tool, selected articles were thematically categorized. Results: We identified 457 articles, mostly published between 2013 and 2014 in 157 different journals and 89 conference proceedings. Articles were categorized around two overarching themes, which described the use of technologies for either (1) promoting behavior change (309/457, 67.6%) or (2) measuring behavior (103/457, 22.5%). The remaining articles were overviews of apps and social media content (33/457, 7.2%) or covered a combination of these three themes (12/457, 2.6%). Within the two main overarching themes, we categorized articles as representing three phases of research development: (1) design and development, (2) feasibility studies, and (3) evaluations. Overall, articles mostly reported on evaluations of technologies for behavior change (211/457, 46.2%). Conclusions: There is an extensive body of research on mobile phone and Web 2.0 technologies for weight management. Research has reported on (1) the development, feasibility, and efficacy of persuasive mobile technologies used in interventions for behavior change (PA and diet) and (2) the design, feasibility, and accuracy of mobile phone apps for behavioral assessment. Further research has focused exclusively on analyses of the content and quality of available apps. Limited evidence exists on the use of social media for behavior change, but a segment of studies deal with content analyses of social media. Future research should analyze mobile phone and Web 2.0 technologies together by combining the evaluation of content and design aspects with usability, feasibility, and efficacy/effectiveness for behavior change, or accuracy/validity for behavior assessment, in order to understand which technological components and features are likely to result in effective interventions. [J Med Internet Res 2015;17(11):e259]
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References
Health promotion through primary care: enhancing self-management with activity prescription and mHealth
TL;DR: Findings demonstrate the utility of pairing mHealth technologies with activity prescription for prevention of lifestyle-related chronic diseases among an at-risk group of older men and women.
60
Social support for physical activity—role of Facebook with and without structured intervention
David N. Cavallo,David N. Cavallo,Deborah F. Tate,Dianne S. Ward,Robert F. DeVellis,Linden M. Thayer,Alice S. Ammerman +6 more
TL;DR: Examining Facebook engagement among participants in the online social networking arm of a randomized controlled physical activity promotion trial finds changes in perceived social support and physical activity were more strongly associated with participants’ individual Facebook use than use of the Facebook intervention group.
Short message service reduces dropout in childhood obesity treatment: a randomized controlled trial.
Judith de Niet,Reinier Timman,Stephanie Bauer,Erica L T van den Akker,Cora de Klerk,Hans Kordy,Jan Passchier +6 more
TL;DR: Results indicate that SMSMT is effective in reducing dropout rates from a pediatric lifestyle intervention, and future research should examine the effectiveness of SMSMT on weight management and related psychosocial variables.
58
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Hafizur Rahman,Qiang Li,Mark R. Pickering,Michael R. Frater,Deborah A. Kerr,Carol Bouchey,Edward J. Delp +6 more
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TL;DR: A food volume estimation approach which requires only a pair of stereo images to be captured and can provide an accurate estimate of the volume of typical food items in a passive manner without the need for manual fitting of 3D models to the food items.
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