Published on in Vol 4, No 3 (2016): Jul-Sept

Mobile Apps for Weight Management: A Scoping Review

Mobile Apps for Weight Management: A Scoping Review

Mobile Apps for Weight Management: A Scoping Review

Journals

  1. Taçyıldız Ö, Çelik Ertuğrul D. A decision support system on the obesity management and consultation during childhood and adolescence using ontology and semantic rules. Journal of Biomedical Informatics 2020;110:103554 View
  2. Chung A, Griffin A, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174 View
  3. Guisado-Fernández E, Giunti G, Mackey L, Blake C, Caulfield B. Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework. JMIR Aging 2019;2(1):e12192 View
  4. Dahl A, Dunn C, Boutté A, Crimarco A, Turner-McGrievy G. Mobilizing mHealth for Moms: a Review of Mobile Apps for Tracking Gestational Weight Gain. Journal of Technology in Behavioral Science 2018;3(1):32 View
  5. Pagoto S, Tulu B, Agu E, Waring M, Oleski J, Jake-Schoffman D. Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(6):e145 View
  6. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40 View
  7. Jamaladin H, van de Belt T, Luijpers L, de Graaff F, Bredie S, Roeleveld N, van Gelder M. Mobile Apps for Blood Pressure Monitoring: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2018;6(11):e187 View
  8. Thompson D, Baranowski T. Chatbots as extenders of pediatric obesity intervention: an invited commentary on “Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot”. Translational Behavioral Medicine 2019;9(3):448 View
  9. Romiti S, Vinciguerra M, Saade W, Anso Cortajarena I, Greco E. Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance. Cardiology Research and Practice 2020;2020:1 View
  10. Kao C, Liebovitz D. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9(5S) View
  11. Pedersen P, Nysveen H. A Brief Systematic Review of Mobile App Markets Research: User, Developer and Platform Perspectives. SSRN Electronic Journal 2018 View
  12. Slater H, Briggs A, Stinson J, Campbell J. End user and implementer experiences of mHealth technologies for noncommunicable chronic disease management in young adults: a qualitative systematic review protocol. JBI Database of Systematic Reviews and Implementation Reports 2017;15(8):2047 View
  13. Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7 View
  14. Lim S, Johal J, Ong K, Han C, Chan Y, Lee Y, Loo W. Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14802 View
  15. Gómez-de-Regil L, Avila-Nava A, Gutierrez-Solis A, Lugo R. Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review. Journal of Healthcare Engineering 2020;2020:1 View
  16. Kessel K, Vogel M, Schmidt-Graf F, Combs S. Mobile Apps in Oncology: A Survey on Health Care Professionals’ Attitude Toward Telemedicine, mHealth, and Oncological Apps. Journal of Medical Internet Research 2016;18(11):e312 View
  17. Bussiek P, De Poli C, Bevan G. A scoping review protocol to map the evidence on interventions to prevent overweight and obesity in children. BMJ Open 2018;8(2):e019311 View
  18. Kim K, Lee C, Hornik R. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283 View
  19. McPherson A, Oake M, Stinson J. “Don’t sweat it buddy, it’s OK”: an exploration of the needs of adolescents with disabilities when designing a mobile application for weight management and healthy lifestyles. Disability and Rehabilitation 2020;42(11):1569 View
  20. Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
  21. Arigo D, Brown M, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642 View
  22. Goldstein C, Thomas J, Wing R, Bond D. Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health. Obesity Science & Practice 2017;3(2):117 View
  23. Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029 View
  24. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97 View
  25. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  26. Alessa T, Hawley M, Hock E, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645 View
  27. Hoffmann A, Faust-Christmann C, Zolynski G, Bleser G. Toward Gamified Pain Management Apps: Mobile Application Rating Scale–Based Quality Assessment of Pain-Mentor’s First Prototype Through an Expert Study. JMIR Formative Research 2020;4(5):e13170 View
  28. Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203 View
  29. Stiles-Shields C, Anderson L, Driscoll C, Ohanian D, Starnes M, Stern A, Yunez J, Holmbeck G, Brei T, Castillo H, Castillo J. Technology usage and barriers to the use of behavioral intervention technologies in adolescents and young adults with spina bifida. Journal of Pediatric Rehabilitation Medicine 2020;13(4):675 View
  30. Sucala M, Cole-Lewis H, Arigo D, Oser M, Goldstein S, Hekler E, Diefenbach M. Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges. Translational Behavioral Medicine 2021;11(2):495 View
  31. Jahnel T, Schüz B. Partizipative Entwicklung von Digital-Public-Health-Anwendungen: Spannungsfeld zwischen Nutzer*innenperspektive und Evidenzbasierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):153 View
  32. Mao A, Chen C, Magana C, Caballero Barajas K, Olayiwola J. A Mobile Phone-Based Health Coaching Intervention for Weight Loss and Blood Pressure Reduction in a National Payer Population: A Retrospective Study. JMIR mHealth and uHealth 2017;5(6):e80 View
  33. Tully L, Burls A, Sorensen J, El-Moslemany R, O'Malley G. Mobile Health for Pediatric Weight Management: Systematic Scoping Review. JMIR mHealth and uHealth 2020;8(6):e16214 View
  34. Sucala M, Cuijpers P, Muench F, Cardoș R, Soflau R, Dobrean A, Achimas-Cadariu P, David D. Anxiety: There is an app for that. A systematic review of anxiety apps. Depression and Anxiety 2017;34(6):518 View
  35. Giorgi Rossi P, Ferrari F, Amarri S, Bassi A, Bonvicini L, Dall'Aglio L, Della Giustina C, Fabbri A, Ferrari A, Ferrari E, Fontana M, Foracchia M, Gallelli T, Ganugi G, Ilari B, Lo Scocco S, Maestri G, Moretti V, Panza C, Pinotti M, Prandini R, Storani S, Street M, Tamelli M, Trowbridge H, Venturelli F, Volta A, Davoli A. Describing the Process and Tools Adopted to Cocreate a Smartphone App for Obesity Prevention in Childhood: Mixed Method Study. JMIR mHealth and uHealth 2020;8(6):e16165 View
  36. Arigo D, Jake-Schoffman D, Wolin K, Beckjord E, Hekler E, Pagoto S. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67 View
  37. Smethers A, Rolls B. Dietary Management of Obesity. Medical Clinics of North America 2018;102(1):107 View
  38. Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204 View
  39. Price M, Higgs S, Wilkinson L, Lee M, Embling R, Kuberka P, Hamill A, Collier J, Keable-Steer S, Reitmaier T, Mukhopadhyay S, Lindsay S. Construal beliefs moderate the usability and effectiveness of a novel healthy eating mobile app. Physiology & Behavior 2020;222:112941 View
  40. Sittig S, Hauff C, Graves R, Williams S, McDermott R, Fruh S, Hall H, Campbell M, Swanzy D, Wright T, Hudson G. Characteristics of and Factors Influencing College Nursing Students' Willingness to Utilize mHealth for Health Promotion. CIN: Computers, Informatics, Nursing 2020;38(5):246 View
  41. Al-Lami N, Sear K, Dai W, Chen J. Obesity Applications in Smartphones: Development and Use of an Evaluation Tool. Journal of Pediatric Health Care 2020;34(4):377 View
  42. Besson M, Gurviez P, Carins J. Using digital devices to help people lose weight: a systematic review. Journal of Social Marketing 2020;10(3):289 View
  43. Wattanapisit A, Teo C, Wattanapisit S, Teoh E, Woo W, Ng C. Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks. BMC Medical Informatics and Decision Making 2020;20(1) View
  44. Giunti G, Guisado Fernández E, Dorronzoro Zubiete E, Rivera Romero O. Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e10512 View
  45. Koebnick C, Tartof S, Sidell M, Rozema E, Chung J, Chiu V, Taylor Z, Xiang A, Getahun D. Effect of In-Utero Antibiotic Exposure on Childhood Outcomes: Methods and Baseline Data of the Fetal Antibiotic EXposure (FAX) Cohort Study. JMIR Research Protocols 2019;8(7):e12065 View
  46. Alencar M, Johnson K, Mullur R, Gray V, Gutierrez E, Korosteleva O. The efficacy of a telemedicine-based weight loss program with video conference health coaching support. Journal of Telemedicine and Telecare 2019;25(3):151 View
  47. Partridge S, Redfern J. Strategies to Engage Adolescents in Digital Health Interventions for Obesity Prevention and Management. Healthcare 2018;6(3):70 View
  48. Smahel D, Elavsky S, Machackova H. Functions of mHealth applications: A user’s perspective. Health Informatics Journal 2019;25(3):1065 View
  49. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750 View
  50. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and Mobile Health Technology in Rehabilitation. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):485 View
  51. Wellbeloved-Stone C, Weppner J, Valdez R. A Systematic Review of Telerehabilitation and mHealth Interventions for Spinal Cord Injury. Current Physical Medicine and Rehabilitation Reports 2016;4(4):295 View
  52. Ogden J, Maxwell H, Wong A. Development and feasibility study of an app (Ladle) for weight loss and behaviour change. PeerJ 2019;7:e6907 View
  53. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619 View
  54. Alshathri D, Alhumaimeedy A, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban G. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844 View
  55. Arigo D, Brown M, Pasko K, Ainsworth M, Travers L, Gupta A, Downs D, Smyth J. Rationale and Design of the Women’s Health And Daily Experiences Project: Protocol for an Ecological Momentary Assessment Study to Identify Real-Time Predictors of Midlife Women’s Physical Activity. JMIR Research Protocols 2020;9(10):e19044 View
  56. Olson K, Goldstein S, Lillis J, Panza E. Weight stigma is overlooked in commercial‐grade mobile applications for weight loss and weight‐related behaviors. Obesity Science & Practice 2021;7(2):244 View
  57. Valle C, Nezami B, Tate D. Designing in-app messages to nudge behavior change: Lessons learned from a weight management app for young adults. Organizational Behavior and Human Decision Processes 2020;161:95 View
  58. Musgrave L, Kizirian N, Homer C, Gordon A. Mobile Phone Apps in Australia for Improving Pregnancy Outcomes: Systematic Search on App Stores. JMIR mHealth and uHealth 2020;8(11):e22340 View
  59. Turner-McGrievy G, Crimarco A, Wilcox S, Boutté A, Hutto B, Muth E, Hoover A. The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention. DIGITAL HEALTH 2020;6:205520762097675 View
  60. Kabir M, Rahman S, Islam M, Ahmed S, Laird C. Mobile Apps for Foot Measurement in Pedorthic Practice: Scoping Review. JMIR mHealth and uHealth 2021;9(3):e24202 View
  61. Huntriss R, Haines M, Jones L, Mulligan D. A service evaluation exploring the effectiveness of a locally commissioned tier 3 weight management programme offering face‐to‐face, telephone and digital dietetic support. Clinical Obesity 2021;11(3) View
  62. San Giovanni C, Dawley E, Pope C, Steffen M, Roberts J. The Doctor Will “Friend” You Now: A Qualitative Study on Adolescents’ Preferences for Weight Management App Features. Southern Medical Journal 2021;114(7):373 View
  63. Ragelienė T, Aschemann-Witzel J, Grønhøj A. Efficacy of a smartphone application-based intervention for encouraging children’s healthy eating in Denmark. Health Promotion International 2022;37(1) View
  64. Bohanec M, Tartarisco G, Marino F, Pioggia G, Puddu P, Schiariti M, Baert A, Pardaens S, Clays E, Vodopija A, Luštrek M. HeartMan DSS: A decision support system for self-management of congestive heart failure. Expert Systems with Applications 2021;186:115688 View
  65. Park J, Tracy C, Gray C. Mobile phone apps for family caregivers: A scoping review and qualitative content analysis. DIGITAL HEALTH 2022;8:205520762210766 View
  66. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497 View
  67. Siddiqua A, Kabir M, Ferdous T, Ali I, Weston L. Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. Agronomy 2022;12(8):1869 View
  68. Selvaraj S, Sriram A. The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis. JMIR mHealth and uHealth 2022;10(5):e15719 View
  69. Wiechert M, Holzapfel C. Nutrition Concepts for the Treatment of Obesity in Adults. Nutrients 2021;14(1):169 View
  70. Brown J, Franco-Arellano B, Froome H, Siddiqi A, Mahmood A, Arcand J. The Content, Quality, and Behavior Change Techniques in Nutrition-Themed Mobile Apps for Children in Canada: App Review and Evaluation Study. JMIR mHealth and uHealth 2022;10(2):e31537 View
  71. 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
  72. Bube B, Zanón B, Lara Palma A, Klocke H. Wearable Devices in Diving: Scoping Review. JMIR mHealth and uHealth 2022;10(9):e35727 View
  73. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144 View
  74. Bonvicini L, Pingani I, Venturelli F, Patrignani N, Bassi M, Broccoli S, Ferrari F, Gallelli T, Panza C, Vicentini M, Giorgi Rossi P. Effectiveness of mobile health interventions targeting parents to prevent and treat childhood Obesity: Systematic review. Preventive Medicine Reports 2022;29:101940 View
  75. Sysko R, Bibeau J, Boyar A, Costello K, Michaelides A, Mitchell E, Susanin A, Hildebrandt T. A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(8):e37541 View
  76. Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479 View
  77. Vidmar A, Salvy S, Wee C, Pretlow R, Fox D, Yee J, Garell C, Glasner S, Mittelman S. An addiction‐based digital weight loss intervention: A multi‐centre randomized controlled trial. Pediatric Obesity 2023;18(3) View
  78. Kalgotra P, Raja U, Sharda R. Growth in the development of health and fitness mobile apps amid COVID-19 pandemic. DIGITAL HEALTH 2022;8:205520762211290 View
  79. Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis L. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9 View
  80. Candelaria Martínez M, Franco‐Paredes K, Díaz‐Reséndiz F, Camacho‐Ruiz E. Content validity of a psychological e‐health program of self‐control and motivation for adults with excess weight. Clinical Obesity 2022;12(5) View
  81. Laad M, Kotecha K, Patil K, Pise R. Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care. Applied Artificial Intelligence 2022;36(1) View
  82. Dadaeva V, Stolyar V, Drapkina O. Perspectives of telemedicine technologies in the treatment of overweight and obesity. Profilakticheskaya meditsina 2023;26(2):7 View
  83. Hales S, Smith C, Turner T, Sword D, DuBose-Morris R, Blackburn D, Malcolm R, O’Neil P. Development and Pilot Testing of a Telehealth Weight Loss Program. Translational Journal of the American College of Sports Medicine 2023;8(2) View
  84. Sumra M, Asghar S, Khan K, Fernández-Luna J, Huete J, Bueno-Cavanillas A. Smartphone Apps for Domestic Violence Prevention: A Systematic Review. International Journal of Environmental Research and Public Health 2023;20(7):5246 View
  85. Noh E, Won J, Jo S, Hahm D, Lee H. Conversational Agents for Body Weight Management: Systematic Review. Journal of Medical Internet Research 2023;25:e42238 View
  86. Ardesch F, van der Vegt D, Kiefte-de Jong J. Problematic social media use and lifestyle behaviours in adolescents (Preprint). JMIR Pediatrics and Parenting 2023 View
  87. Alnooh G, Alessa T, Noorwali E, Albar S, Williams E, de Witte L, Hawley M. Identification of the Most Suitable Mobile Apps to Support Dietary Approaches to Stop Hypertension (DASH) Diet Self-Management: Systematic Search of App Stores and Content Analysis. Nutrients 2023;15(15):3476 View
  88. Stifani B, Peters M, French K, Gill R, Ayatollahi H. There’s an App for it: A systematic review of mobile apps providing information about abortion using a revised MARS scale. PLOS Digital Health 2023;2(7):e0000277 View
  89. SHIBAYAMA K, SAKAMOTO T, FURUSHIMA C. Mobile App-based Interventions for Patients with Noncommunicable Diseases in Japan: A Scoping Review. Asian Journal of Human Services 2023;25(0):177 View
  90. Martin-Vicario L, Bustos Díaz J, Martínez-Sánchez M, Nicolas-Sans R. Mobile applications for weight-loss in the Spanish-speaking market: Usability and engagement. Obesity Medicine 2023;41:100499 View
  91. Abdul Khalil N, Mohd Mydin F, Moy F, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390 View
  92. Thompson A, Dawson D, Legasto-Mulvale J, Chandran N, Tanchip C, Niemczyk V, Rashkovan J, Jeyakumar S, Wang R, Cameron J, Nalder E. Mobile Technology–Based Interventions for Stroke Self-Management Support: Scoping Review. JMIR mHealth and uHealth 2023;11:e46558 View
  93. Braddock A, Bosworth K, Ghosh P, Proffitt R, Flowers L, Montgomery E, Wilson G, Tosh A, Koopman R. Clinician Needs for Electronic Health Record Pediatric and Adolescent Weight Management Tools: A Mixed-Methods Study. Applied Clinical Informatics 2024;15(02):368 View
  94. Koutoukidis D, Beeken R, Manchanda R, Michalopoulou M, Burnell M, Knobf M, Lanceley A. Recruitment, adherence, and retention of endometrial cancer survivors in a behavioural lifestyle programme: the Diet and Exercise in Uterine Cancer Survivors (DEUS) parallel randomised pilot trial. BMJ Open 2017;7(10):e018015 View
  95. Shen S, Salehi E, White C, Chen Y, Iyengar N. Evaluation of a mobile behavior change program for weight loss in breast cancer survivors. npj Breast Cancer 2024;10(1) View

Books/Policy Documents

  1. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  2. Ryan D, Anton S. Present Knowledge in Nutrition. View
  3. Oyebode O, Ndulue C, Alhasani M, Orji R. Persuasive Technology. Designing for Future Change. View
  4. Singla S. Internet of Things Use Cases for the Healthcare Industry. View
  5. Wouters E, van der Zijpp T, Nieboer M. (B)eHealth. View
  6. Laad M, Sajna M, Sadasivuni K, Waseem S. Predicting Heart Failure. View
  7. Degerli M. mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being. View
  8. Gross A, Nurmi E. Managing Pediatric Obesity Using Advanced Therapies. View