This paper is in the following e-collection/theme issue:

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Web-based and Mobile Health Interventions (3092) Mobile Health (mhealth) (2748) mHealth for Wellness, Behavior Change and Prevention (2728)

Published on in Vol 3, No 4 (2015): Oct-Dec

The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment

The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment

The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment

Authors of this article:

Juliana Chen1 Author Orcid Image ;   Janet E Cade2 Author Orcid Image ;   Margaret Allman-Farinelli1 Author Orcid Image
Article Authors Cited by (169) Tweetations (36) Metrics

Journals

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  121. Abdul Basir S, Abdul Manaf Z, Mohd. Noor N, Mat Ludin A, Shahar S, Abdul Manaf M. The Challenges and Strategies towards Healthy Eating during COVID-19 Home Confinement Period among Working Adults with BMI ≥ 25 kg/m2 Enrolled in a Weight Loss Program: Qualitative Findings. International Journal of Environmental Research and Public Health 2022;19(11):6656 View
  122. Gadde N, Yap K. Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation. JMIR Perioperative Medicine 2021;4(2):e27037 View
  123. Shoneye C, Kwasnicka D, Mullan B, Pollard C, Boushey C, Kerr D. Dietary assessment methods used in adult digital weight loss interventions: A systematic literature review. Journal of Human Nutrition and Dietetics 2023;36(3):997 View
  124. Miller K, Jerome G. Self-Monitoring Physical Activity, Diet, and Weight Among Adults Who Are Legally Blind: Exploratory Investigation. JMIR Rehabilitation and Assistive Technologies 2022;9(4):e42923 View
  125. Khazaal Y, Potvin S, Pennou A, Djomo W, Borgeat F, Lecomte T. Des repères pour la conception des apps ?. Santé mentale au Québec 2021;46(1):119 View
  126. Lin A, Morgan N, Ward D, Tangney C, Alshurafa N, Van Horn L, Spring B. Comparative Validity of Mostly Unprocessed and Minimally Processed Food Items Differs Among Popular Commercial Nutrition Apps Compared with a Research Food Database. Journal of the Academy of Nutrition and Dietetics 2022;122(4):825 View
  127. Ang S, Chen J, Liew J, Johal J, Dan Y, Allman-Farinelli M, Lim S. Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(11):e28185 View
  128. Samad S, Ahmed F, Naher S, Kabir M, Das A, Amin S, Islam S. Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intelligent Systems with Applications 2022;15:200103 View
  129. Corrêa C, Costa B, Dezanetti T, Filipini R, Nunes E. Changes in eating habits, sleep, and physical activity during coronavirus disease (COVID-19) pandemic: A longitudinal study in young Brazilian adult males. Nutrition and Health 2022;28(4):701 View
  130. Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, Belle F, Chatelan A, Paclet Lafaille M, Bochud M, Gonseth Nusslé S. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients 2022;14(3):635 View
  131. Mistura L, Comendador Azcarraga F, D’Addezio L, Martone D, Turrini A. An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps. Nutrients 2021;13(9):3073 View
  132. Stancu V, Frank D, Lähteenmäki L, Grunert K. Motivating consumers for health and fitness: The role of app features. Journal of Consumer Behaviour 2022;21(6):1506 View
  133. Jung J, Wellard-Cole L, Cai C, Koprinska I, Yacef K, Allman-Farinelli M, Kay J. Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale Nutrition Study. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(2):1 View
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  135. Castro Sweet C, Kaye L, Alabduljabbar M, Myers V. Training the next generation of behavioral medicine scientists to accelerate digital health. Translational Behavioral Medicine 2022;12(8):834 View
  136. McNitt K, Hohman E, Rivera D, Guo P, Pauley A, Gernand A, Symons Downs D, Savage J. Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity. Nutrients 2022;14(11):2326 View
  137. Siddiqui N, Hodges S, Sharif M. Orthodontic apps: an assessment of quality (using the Mobile App Rating Scale (MARS)) and behaviour change techniques (BCTs). Progress in Orthodontics 2021;22(1) View
  138. Festic N, Latzer M, Smirnova S. Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies. Media and Communication 2021;9(4):145 View
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  140. van der Linden M, Nahar van Venrooij L, Verdaasdonk E. Personal Devices to Monitor Physical Activity and Nutritional Intake After Colorectal Cancer Surgery: Feasibility Study. JMIR Perioperative Medicine 2022;5(1):e40352 View
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  142. Rahmani Z, Houge Mackenzie S, Carr A. How virtual wellness retreat experiences may influence psychological well-being. Journal of Hospitality and Tourism Management 2024;58:516 View
  143. Shreya Kharche , Neha Saraf , Omsing Bhonde . A System for Fitness and Health Care. International Journal of Advanced Research in Science, Communication and Technology 2023:294 View
  144. Martin-Vicario L, Bustos Díaz J, Nicolas-Sans R, Yan Z. Weight Loss App Descriptors in App Stores: A Qualitative Analysis of the Spanish Market. Human Behavior and Emerging Technologies 2023;2023:1 View
  145. Sithole B, Pappas Y, Randhawa G. eHealth in obesity care. Clinical Medicine 2023;23(4):347 View
  146. Gioia S, Vlasac I, Babazadeh D, Fryou N, Do E, Love J, Robbins R, Dashti H, Lane J. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858 View
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Books/Policy Documents

  1. Valentim Pereira G, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Flórez-Revuelta F, Spinsante S. Internet of Things and Big Data Applications. View
  2. Galhotra R. Nutrients in Dairy and their Implications on Health and Disease. View
  3. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  4. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. View
  5. Dufort A, Gregory E, Woo T. Humanism and Resilience in Residency Training. View
  6. Lyzwinski L. Obesity and Diabetes. View
  7. Weech M, Fallaize R, Kelly E, Hwang F, Franco R, Lovegrove J. Smartphone Apps for Health and Wellness. View
  8. Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. View