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.
read more
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]
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management
TL;DR: Popular apps assessed have overall moderate quality and include behavioural tracking features and a range of change techniques associated with behaviour change, although more attention to information quality and evidence-based content is warranted to improve their quality.
Prescribable mHealth apps identified from an overview of systematic reviews
Oyungerel Byambasuren,Sharon Sanders,Elaine Beller,Paul Glasziou +3 more
- 09 May 2018
TL;DR: MHealth apps need to be evaluated by more robust RCTs that report between-group differences before becoming prescribable, and should incorporate sensitivity analysis of trials with high risk of bias to better summarize the evidence.
The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.
TL;DR: A beneficial effect of app‐based mobile interventions was identified for improving nutrition behaviours and nutrition‐related health outcomes, including obesity indices and clinical parameters, and the inclusion of additional treatment components besides the app or the number or type of BCTs implemented did not moderate the observed effectiveness.
244
The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review
TL;DR: Social media has the ability to facilitate disease surveillance, mass communication, health education, knowledge translation, and collaboration amongst health providers in low- and middle-income countries.
170
Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis
Andre Matthias Müller,Carol Maher,Corneel Vandelanotte,Melanie Hingle,Anouk Middelweerd,Michael A. Lopez,Ann DeSmet,Camille E. Short,Nicole Nathan,Melinda J. Hutchesson,Louise Poppe,Louise Poppe,Catherine Woods,Susan L. Williams,Petra A. Wark +14 more
TL;DR: Overall and throughout the years, eHealth and mHealth papers related to physical activity, sedentary behavior, and diet received more citations than expected compared with papers in the same WoS subject categories.
References
Can the effects of implementation intentions on exercise be enhanced using text messages
TL;DR: Encouraging people to receive text message reminders of their implementation intentions should enhance their strength and it was predicted that this combined approach would be particularly effective in increasing exercise.
Bringing the laboratory and clinic to the community: mobile technologies for health promotion and disease prevention.
Robert M. Kaplan,Arthur A. Stone +1 more
TL;DR: The role of mobile technologies in the assessment of health-related behaviors, physiological responses, and self-reports is reviewed and ecological momentary assessment offers a wide range of new opportunities for ambulatory assessment and evaluation.
Self-monitoring as a mediator of weight loss in the SMART randomized clinical trial.
Melanie Warziski Turk,Okan U. Elci,Jing Wang,Susan M. Sereika,Linda J. Ewing,Sushama D. Acharya,Karen Glanz,Lora E. Burke +7 more
TL;DR: Receiving daily feedback messages significantly increased participants' self-monitoring adherence and mediated the effect of feedback frequency on weight loss, a critical component of behavioral weight-loss treatment.
A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions
Romain Guidoux,Martine Duclos,Gérard Fleury,Philippe Lacomme,Nicolas Lamaudière,Pierre-Henri Manenq,Ludivine Paris,Libo Ren,Sylvie Rousset +8 more
TL;DR: The TEE estimation function quality was evaluated using data from intensive numerical experiments based on 12 volunteers equipped with a smartphone and two research sensors (Armband and Actiheart) in controlled conditions (CC) and on 30 other volunteers in free-living conditions (FLC), finding the TEE mean gap between the function and the three references was 7.0%.
Interventions designed to reduce sedentary behaviours in young people: a review of reviews
TL;DR: Interventions to reduce children's sedentary behaviour have a small but significant effect, and effective strategies include the involvement of family, behavioural interventions and electronic TV monitoring devices.