Published on in Vol 15, No 4 (2013): April

Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial

Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial

Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial

Journals

  1. Dalcin A, Jerome G, Fitzpatrick S, Louis T, Wang N, Bennett W, Durkin N, Clark J, Daumit G, Appel L, Coughlin J. Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER Trial. Obesity Science & Practice 2015;1(1):23 View
  2. Zia A, Brassart A, Thomas S, Ye F, Stephenson J, Mullins C, Jones C. Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherence. Journal of Health Economics and Outcomes Research 2020;7(2) View
  3. Griffiths C, Harnack L, Pereira M. Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications. Public Health Nutrition 2018;21(8):1495 View
  4. Granado-Font E, Flores-Mateo G, Sorlí-Aguilar M, Montaña-Carreras X, Ferre-Grau C, Barrera-Uriarte M, Oriol-Colominas E, Rey-Reñones C, Caules I, Satué-Gracia E. Effectiveness of a Smartphone application and wearable device for weight loss in overweight or obese primary care patients: protocol for a randomised controlled trial. BMC Public Health 2015;15(1) View
  5. Hutchesson M, Rollo M, Callister R, Collins C. Self-Monitoring of Dietary Intake by Young Women: Online Food Records Completed on Computer or Smartphone Are as Accurate as Paper-Based Food Records but More Acceptable. Journal of the Academy of Nutrition and Dietetics 2015;115(1):87 View
  6. Biel J, Martin N, Labbe D, Gatica-Perez D. Bites‘n’Bits. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;1(4):1 View
  7. Bert F, Giacometti M, Gualano M, Siliquini R. Smartphones and Health Promotion: A Review of the Evidence. Journal of Medical Systems 2014;38(1) View
  8. Egger G. Defining a Structure and Methodology for the Practice of Lifestyle Medicine. American Journal of Lifestyle Medicine 2018;12(5):396 View
  9. Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171 View
  10. Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research 2013;15(11):e247 View
  11. Burke L, Ma J, Azar K, Bennett G, Peterson E, Zheng Y, Riley W, Stephens J, Shah S, Suffoletto B, Turan T, Spring B, Steinberger J, Quinn C. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157 View
  12. Veríssimo J. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research 2018;89:442 View
  13. Choi J, Park D, Noh G. The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory. Journal of Digital Convergence 2015;13(6):327 View
  14. Stevens J, Berlan E. Applying Principles from Behavioral Economics To Promote Long-Acting Reversible Contraceptive (LARC) Methods. Perspectives on Sexual and Reproductive Health 2014;46(3):165 View
  15. Han M, Cho B, Kwon H, Son K, Lee H, Lee J, Park J. A Mobile-Based Comprehensive Weight Reduction Program for the Workplace (Health-On): Development and Pilot Study. JMIR mHealth and uHealth 2019;7(11):e11158 View
  16. Yu Z, Sealey-Potts C, Rodriguez J. Dietary Self-Monitoring in Weight Management: Current Evidence on Efficacy and Adherence. Journal of the Academy of Nutrition and Dietetics 2015;115(12):1931 View
  17. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231 View
  18. Hu R, van Velthoven M, Meinert E. Perspectives of People Who Are Overweight and Obese on Using Wearable Technology for Weight Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e12651 View
  19. Kim Y, Oh B, Shin H. Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e13273 View
  20. Lee H, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445 View
  21. Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105 View
  22. Cangelosi J, Kim D, Ranelli E, Griffin K. A needs assessment study of what health care consumers seek from social media and social networking. Health Marketing Quarterly 2018;35(4):266 View
  23. Turner-McGrievy G, Helander E, Kaipainen K, Perez-Macias J, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2015;22(e1):e112 View
  24. Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1 View
  25. Darcy A, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217 View
  26. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  27. Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P. Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment. JMIR mHealth and uHealth 2018;6(7):e157 View
  28. Anastasiadou D, Folkvord F, Lupiañez-Villanueva F. A systematic review of mHealth interventions for the support of eating disorders. European Eating Disorders Review 2018;26(5):394 View
  29. Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1 View
  30. Jebb S. Interventions to accelerate change towards a healthier diet. Proceedings of the Nutrition Society 2018;77(2):106 View
  31. Mangieri C, Johnson R, Sweeney L, Choi Y, Wood J. Mobile health applications enhance weight loss efficacy following bariatric surgery. Obesity Research & Clinical Practice 2019;13(2):176 View
  32. Zhang H, Jiang Y, Nguyen H, Poo D, Wang W. The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: a pilot randomised controlled trial. Health and Quality of Life Outcomes 2017;15(1) View
  33. Bobian M, Kandinov A, El-Kashlan N, Svider P, Folbe A, Mayerhoff R, Eloy J, Raza S. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2017;127(8):1775 View
  34. Brown T, Banks M, Hughes B, Lin C, Kenny L, Bauer J. Tube feeding during treatment for head and neck cancer – Adherence and patient reported barriers. Oral Oncology 2017;72:140 View
  35. . Strategies to Improve Adherence to Dietary Weight Loss Interventions in Research and Real-World Settings. Behavioral Sciences 2017;7(4):44 View
  36. Pentikäinen S, Tanner H, Karhunen L, Kolehmainen M, Poutanen K, Pennanen K. Mobile Phone App for Self-Monitoring of Eating Rhythm: Field Experiment. JMIR mHealth and uHealth 2019;7(3):e11490 View
  37. Pope Z, Lee J, Zeng N, Lee H, Gao Z. Feasibility of smartphone application and social media intervention on breast cancer survivors’ health outcomes. Translational Behavioral Medicine 2019;9(1):11 View
  38. Fakih El Khoury C, Karavetian M, Halfens R, Crutzen R, Khoja L, Schols J. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626 View
  39. Feigin V, Krishnamurthi R, Bhattacharjee R, Parmar P, Theadom A, Hussein T, Purohit M, Hume P, Abbott M, Rush E, Kasabov N, Crezee I, Frielick S, Barker-Collo S, Barber P, Arroll B, Poulton R, Ratnasabathy Y, Tobias M, Cabral N, Martins S, Furtado L, Lindsay P, Saposnik G, Giroud M, Béjot Y, Hacke W, Mehndiratta M, Pandian J, Gupta S, Padma V, Mandal D, Kokubo Y, Ibrahim N, Sahathevan R, Fu H, Wang W, Liu L, Hou Z, Goncalves A, Correia M, Varakin Y, Kravchenko M, Piradov M, Saadah M, Thrift A, Cadilhac D, Davis S, Donnan G, Lopez A, Hankey G, Maujean A, Kendall E, Brainin M, Abd-Allah F, Bornstein N, Caso V, Marquez-Romero J, Akinyemi R, Bin Dhim N, Norrving B, Sindi S, Kivipelto M, Mendis S, Ikram M, Hofman A, Mirza S, Rothwell P, Sandercock P, Shakir R, Sacco R, Culebras A, Roth G, Moradi-Lakeh M, Murray C, Narayan K, Mensah G, Wiebers D, Moran A. New Strategy to Reduce the Global Burden of Stroke. Stroke 2015;46(6):1740 View
  40. Rodriguez Hermosa J, Fuster Gomila A, Puente Maestu L, Amado Diago C, Callejas González F, Malo De Molina Ruiz R, Fuentes Ferrer M, Álvarez Sala-Walther J, Calle Rubio M. Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study. JMIR mHealth and uHealth 2020;8(3):e15699 View
  41. Tanenbaum M, Ross K, Wing R. Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self-weighing. Obesity 2016;24(11):2341 View
  42. Braz V, Lopes M. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018:1 View
  43. Butryn M, Godfrey K, Martinelli M, Roberts S, Forman E, Zhang F. Digital self‐monitoring: Does adherence or association with outcomes differ by self‐monitoring target?. Obesity Science & Practice 2020;6(2):126 View
  44. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655 View
  45. Alnuaimi A, Rawaf S, Hassounah S, Chehab M. Use of mobile applications in the management of overweight and obesity in primary and secondary care. JRSM Open 2019;10(3):205427041984382 View
  46. Feigin V, Norrving B, Mensah G. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Global Health 2017;2(2):e000306 View
  47. Alqahtani A, BinDhim N, Tashani M, Willaby H, Wiley K, Heywood A, Booy R, Rashid H. Pilot use of a novel smartphone application to track traveller health behaviour and collect infectious disease data during a mass gathering: Hajj pilgrimage 2014. Journal of Epidemiology and Global Health 2015;6(3):147 View
  48. Anastasiadou D, Folkvord F, Serrano-Troncoso E, Lupiañez-Villanueva F. Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder. JMIR mHealth and uHealth 2019;7(6):e12920 View
  49. Ahn J, Lee H, Kim J, Park H, Kim D, Lee J. Use of a Smartphone App for Weight Loss Versus a Paper-Based Dietary Diary in Overweight Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e14013 View
  50. Ehlers D, Fanning J, Awick E, Kramer A, McAuley E, Buchowski M. Contamination by an Active Control Condition in a Randomized Exercise Trial. PLOS ONE 2016;11(10):e0164246 View
  51. Gregory-Smith D, Manika D. Consumers’ identities and compartmentalisation tendencies in alcohol consumption. Journal of Marketing Management 2017;33(11-12):942 View
  52. Poppe L, Van der Mispel C, Crombez G, De Bourdeaudhuij I, Schroé H, Verloigne M. How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study. Journal of Medical Internet Research 2018;20(10):e10412 View
  53. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348 View
  54. Burke L, Zheng Y, Ma Q, Mancino J, Loar I, Music E, Styn M, Ewing L, French B, Sieworek D, Smailagic A, Sereika S. The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring. Preventive Medicine Reports 2017;6:278 View
  55. Hartman D. Mobile Technology for the Practice of Pathology. Advances in Anatomic Pathology 2016;23(2):118 View
  56. Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929 View
  57. Serrano K, Yu M, Coa K, Collins L, Atienza A. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. Journal of Medical Internet Research 2016;18(6):e154 View
  58. Lyzwinski L. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311 View
  59. Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis. Nutrients 2020;12(7):1977 View
  60. Lee J, Park H, Min Y. Transtheoretical Model-based Nursing Intervention on Lifestyle Change: A Review Focused on Intervention Delivery Methods. Asian Nursing Research 2015;9(2):158 View
  61. Wagner N. Doing Away with the Agential Bias: Agency and Patiency in Health Monitoring Applications. Philosophy & Technology 2019;32(1):135 View
  62. Dute D, Bemelmans W, Breda J. Using Mobile Apps to Promote a Healthy Lifestyle Among Adolescents and Students: A Review of the Theoretical Basis and Lessons Learned. JMIR mHealth and uHealth 2016;4(2):e39 View
  63. Schippers M, Adam P, Smolenski D, Wong H, de Wit J. A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450 View
  64. Lancaster R, Radd‐Vagenas S, Fiatarone Singh M, Noble Y, Daniel K, Mavros Y, Sachdev P, Lautenschlager N, Cox K, Brodaty H, O'Leary F, Flood V. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information. Nutrition & Dietetics 2021;78(2):145 View
  65. Verwey R, van der Weegen S, Spreeuwenberg M, Tange H, van der Weijden T, de Witte L. Process evaluation of physical activity counselling with and without the use of mobile technology: A mixed methods study. International Journal of Nursing Studies 2016;53:3 View
  66. McCarroll R, Eyles H, Ni Mhurchu C. Effectiveness of mobile health (mHealth) interventions for promoting healthy eating in adults: A systematic review. Preventive Medicine 2017;105:156 View
  67. Ashrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metabolism 2019;29(3):564 View
  68. Dutton G, Laitner M, Perri M. Lifestyle Interventions for Cardiovascular Disease Risk Reduction: A Systematic Review of the Effects of Diet Composition, Food Provision, and Treatment Modality on Weight Loss. Current Atherosclerosis Reports 2014;16(10) View
  69. McCarroll M, Armbruster S, Pohle-Krauza R, Lyzen A, Min S, Nash D, Roulette G, Andrews S, von Gruenigen V. Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application. Gynecologic Oncology 2015;137(3):508 View
  70. 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
  71. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253 View
  72. Partridge S, Allman-Farinelli M, McGeechan K, Balestracci K, Wong A, Hebden L, Harris M, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  73. Gilliland J, Sadler R, Clark A, O’Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. BioMed Research International 2015;2015:1 View
  74. Waki K, Aizawa K, Kato S, Fujita H, Lee H, Kobayashi H, Ogawa M, Mouri K, Kadowaki T, Ohe K. DialBetics With a Multimedia Food Recording Tool, FoodLog. Journal of Diabetes Science and Technology 2015;9(3):534 View
  75. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  76. Darby A, Strum M, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200 View
  77. Eikey E, Reddy M, Booth K, Kvasny L, Blair J, Li V, Poole E. Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors. JMIR mHealth and uHealth 2017;5(10):e150 View
  78. Lim S, O'Reilly S, Behrens H, Skinner T, Ellis I, Dunbar J. Effective strategies for weight loss in post-partum women: a systematic review and meta-analysis. Obesity Reviews 2015;16(11):972 View
  79. Peng W, Kanthawala S, Yuan S, Hussain S. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1) View
  80. Gordon G, Rhoads A. Field-deployable measurements of free-living individuals to determine energy balance: fuel substrate usage through δ13C in breath CO2 and diet through hair δ13C and δ15N values. Isotopes in Environmental and Health Studies 2019;55(1):70 View
  81. Mata J, Pecorelli N, Kaneva P, Moldoveanu D, Gosselin-Tardiff A, Alhashemi M, Robitaille S, Balvardi S, Lee L, Stein B, Liberman S, Charlebois P, Fiore J, Feldman L. A mobile device application (app) to improve adherence to an enhanced recovery program for colorectal surgery: a randomized controlled trial. Surgical Endoscopy 2020;34(2):742 View
  82. Hamdy O, Ashrafzadeh S, Mottalib A. Weight Management in Patients with Type 2 Diabetes: a Multidisciplinary Real-world Approach. Current Diabetes Reports 2018;18(9) View
  83. Lyzwinski L, Caffery L, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290 View
  84. 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
  85. Quante M, Kaplan E, Rueschman M, Cailler M, Buxton O, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health 2015;1(4):275 View
  86. Sharp D, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257 View
  87. Mason A, Jhaveri K, Cohn M, Brewer J. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160 View
  88. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
  89. Tort E, Aguilar-Martínez A, Medina F, Saigí-Rubió F. Visión de los profesionales sobre las posibilidades de uso y las funcionalidades de las aplicaciones móviles para el tratamiento de la obesidad y el sobrepeso. Atención Primaria 2016;48(2):138 View
  90. Park E, Lee H. Environment Factors Affecting Childhood Obesity: Voices from Students, Parents, and Teachers with Photograph. Journal of Korean Academy of Nursing 2019;49(3):254 View
  91. Olson C. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647 View
  92. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  93. Wills A, Garry J, Hubbard J, Mezoian T, Breen C, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry J, Cudkowicz M, Paganoni S, Chan J, Macklin E. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1) View
  94. Nierenberg A, Hearing C, Sande Mathias I, Young L, Sylvia L. Getting to wellness: The potential of the athletic model of marginal gains for the treatment of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2015;49(12):1207 View
  95. Wilson T, Garcia-Perez I, Posma J, Lloyd A, Chambers E, Tailliart K, Zubair H, Beckmann M, Mathers J, Holmes E, Frost G, Draper J. Spot and Cumulative Urine Samples Are Suitable Replacements for 24-Hour Urine Collections for Objective Measures of Dietary Exposure in Adults Using Metabolite Biomarkers. The Journal of Nutrition 2019;149(10):1692 View
  96. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
  97. Raaijmakers L, Pouwels S, Berghuis K, Nienhuijs S. Technology-based interventions in the treatment of overweight and obesity: A systematic review. Appetite 2015;95:138 View
  98. Pourzanjani A, Quisel T, Foschini L, Earnest C. Adherent Use of Digital Health Trackers Is Associated with Weight Loss. PLOS ONE 2016;11(4):e0152504 View
  99. Lieffers J, Vance V, Hanning R. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41 View
  100. Ho T, Lee C, Wong S, Lau Y. Internet-based self-monitoring interventions for overweight and obese adolescents: A systematic review and meta-analysis. International Journal of Medical Informatics 2018;120:20 View
  101. Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
  102. Adamo K, Shen G, Mottola M, Nascimento S, Jean-Philippe S, Ferraro Z, Nerenberg K, Smith G, Ohari R, Gaudet L, Piccinini-Vallis H, McDonald S, Atkinson S, Godbout A, Robitaille J, Davidge S, Gruslin A, Prud'homme D, Stacey D, Rossiter M, Goldfield G, Dodd J. Obesity Prevention from Conception: A Workshop to Guide the Development of a Pan-Canadian Trial Targeting the Gestational Period. Nutrition and Metabolic Insights 2014;7:NMI.S14146 View
  103. Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
  104. Vangeepuram N, Williams N, Constable J, Waldman L, Lopez-Belin P, Phelps-Waldropt L, Horowitz C. TEEN HEED: Design of a clinical-community youth diabetes prevention intervention. Contemporary Clinical Trials 2017;57:23 View
  105. Carter M, Burley V, Cade J. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults. Current Obesity Reports 2014;3(3):307 View
  106. Kim J, Wineinger N, Steinhubl S. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116 View
  107. Paldan K, Sauer H, Wagner N. Promoting inequality? Self-monitoring applications and the problem of social justice. AI & SOCIETY 2018 View
  108. Lewis T, Wyatt J. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210 View
  109. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
  110. Forgács A, Bóna E, Csíkos T, Metercsik H. Media messages and eating disorders: Taste and price of a message. Society and Economy 2018;40(3):401 View
  111. Gill S, Panda S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metabolism 2015;22(5):789 View
  112. Rodriguez-Paras C, Sasangohar F. Usability Assessment of a Post-Traumatic Stress Disorder (PTSD) mHealth App. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):1824 View
  113. Bissell K, Conlin Maxwell L, Zhang X, Bie B, McLemore D. Let Go of My iPad: Testing the Effectiveness of New Media Technologies to Measure Children’s Food Intake and Health Behaviors. Mass Communication and Society 2017;20(4):550 View
  114. Patel M, Hopkins C, Brooks T, Bennett G. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209 View
  115. Frie K, Hartmann-Boyce J, Jebb S, Aveyard P. Testing the effectiveness of a weight loss intervention to enhance self-regulation in adults who are obese: protocol for a randomised controlled trial. BMJ Open 2019;9(12):e031572 View
  116. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75 View
  117. Thompson-Felty C, Johnston C. Adherence to Diet Applications Using a Smartphone Was Associated With Weight Loss in Healthy Overweight Adults Irrespective of the Application. Journal of Diabetes Science and Technology 2017;11(1):184 View
  118. Du H, Venkatakrishnan A, Youngblood G, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4 View
  119. Ong A, Gillespie M. Overview of smartphone applications for sleep analysis. World Journal of Otorhinolaryngology-Head and Neck Surgery 2016;2(1):45 View
  120. 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
  121. Wang Q, Egelandsdal B, Amdam G, Almli V, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33 View
  122. Arens-Volland A, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997 View
  123. Fuller N, Fong M, Gerofi J, Ferkh F, Leung C, Leung L, Zhang S, Skilton M, Caterson I. Comparison of an electronic versus traditional food diary for assessing dietary intake—A validation study. Obesity Research & Clinical Practice 2017;11(6):647 View
  124. Szmeja M, Cramp C, Grivell R, Deussen A, Yelland L, Dodd J. Use of a DVD to provide dietary and lifestyle information to pregnant women who are overweight or obese: a nested randomised trial. BMC Pregnancy and Childbirth 2014;14(1) View
  125. Maramis C, Moulos I, Ioakimidis I, Papapanagiotou V, Langlet B, Lekka I, Bergh C, Maglaveras N. A smartphone application for semi-controlled collection of objective eating behavior data from multiple subjects. Computer Methods and Programs in Biomedicine 2020;194:105485 View
  126. 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
  127. Kim J, Wineinger N, Taitel M, Radin J, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292 View
  128. Yasutake K, Umeki Y, Horita N, Morita R, Murata Y, Ohe K, Tsuchihashi T, Enjoji M. A self‐monitoring urinary salt excretion level measurement device for educating young women about salt reduction: A parallel randomized trial involving two groups. The Journal of Clinical Hypertension 2019;21(6):730 View
  129. Cho J, Lee H, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437 View
  130. Tilston T, Brown R, Wateridge M, Arms-Williams B, Walker J, Sun Y, Wells T. A Novel Automated System Yields Reproducible Temporal Feeding Patterns in Laboratory Rodents. The Journal of Nutrition 2019;149(9):1674 View
  131. Rodgers R, Pernal W, Matsumoto A, Shiyko M, Intille S, Franko D. Capitalizing on mobile technology to support healthy eating in ethnic minority college students. Journal of American College Health 2016;64(2):125 View
  132. Cho J, Kim S. Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services 2015;16(1):101 View
  133. Ni Mhurchu C, Whittaker R, McRobbie H, Ball K, Crawford D, Michie J, Jiang Y, Maddison R, Waterlander W, Myers K. Feasibility, acceptability and potential effectiveness of a mobile health (mHealth) weight management programme for New Zealand adults. BMC Obesity 2014;1(1) View
  134. Santoro E. La comunicazione della salute attraverso i social media e le applicazioni. SOCIOLOGIA DELLA COMUNICAZIONE 2014;(48):39 View
  135. Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, de Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55 View
  136. Aguilar-Martínez A, Tort E, Medina F, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419 View
  137. Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Self-Monitoring of Health-Related Goals in Older Adults with Use of a Smartphone Application. Activities, Adaptation & Aging 2016;40(2):81 View
  138. Jimoh F, Lund E, Harvey L, Frost C, Lay W, Roe M, Berry R, Finglas P. Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study. JMIR mHealth and uHealth 2018;6(1):e17 View
  139. Chin S, Keum C, Woo J, Park J, Choi H, Woo J, Rhee S. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Scientific Reports 2016;6(1) View
  140. Palacios C, Torres M, López D, Trak-Fellermeier M, Coccia C, Pérez C. Effectiveness of the Nutritional App “MyNutriCart” on Food Choices Related to Purchase and Dietary Behavior: A Pilot Randomized Controlled Trial. Nutrients 2018;10(12):1967 View
  141. Gomis-Pastor M, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuy�s F, Salazar A, Roig E, Mangues M. Strategies for the follow-up of patients with chronic diseases and polypharmacy: development and implementation of a new health care approach based on mobile technology (DIPP-mHeart Study). (Preprint). JMIR Formative Research 2018 View
  142. Cade J. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276 View
  143. Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838 View
  144. Miller T, Chandler L, Mouttapa M. A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students. American Journal of Health Education 2015;46(4):207 View
  145. Isetta V, Torres M, González K, Ruiz C, Dalmases M, Embid C, Navajas D, Farré R, Montserrat J. A New mHealth application to support treatment of sleep apnoea patients. Journal of Telemedicine and Telecare 2017;23(1):14 View
  146. Fazzino T, Sporn N, Befort C. A qualitative evaluation of a group phone-based weight loss intervention for rural breast cancer survivors: Themes and mechanisms of success. Supportive Care in Cancer 2016;24(7):3165 View
  147. Nieroda M, Keeling K, Keeling D. Healthcare Self-Management Tools: Promotion or Prevention Regulatory Focus? A Scale (PR-PV) Development and Validation. Journal of Marketing Theory and Practice 2015;23(1):57 View
  148. Han M, Lee E. Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials. Healthcare Informatics Research 2018;24(3):207 View
  149. Walawender L, Patterson J, Strouse R, Ketz J, Saxena V, Alexy E, Schwaderer A. Mobile Technology Application for Improved Urine Concentration Measurement Pilot Study. Frontiers in Pediatrics 2018;6 View
  150. Zhang X, Xu X. Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences 2020;7:S80 View
  151. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185 View
  152. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28 View
  153. Payne J, Turk M, Kalarchian M, Pellegrini C. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094 View
  154. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer J. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156 View
  155. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
  156. Akdur G, Aydin M, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911 View
  157. Serdarevic M, Fazzino T, MacLean C, Rose G, Helzer J. Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones. Population Health Management 2016;19(3):212 View
  158. Sieverink F, Kelders S, van Gemert-Pijnen J. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402 View
  159. Triantafyllidis A, Velardo C, Salvi D, Shah S, Koutkias V, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218 View
  160. Azar K, Lesser L, Laing B, Stephens J, Aurora M, Burke L, Palaniappan L. Mobile Applications for Weight Management. American Journal of Preventive Medicine 2013;45(5):583 View
  161. Jiang Y, Sereika S, DeVito Dabbs A, Handler S, Schlenk E. Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation. Applied Clinical Informatics 2016;07(02):430 View
  162. Claudel S, Bertoni A. Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes). JMIR Diabetes 2018;3(1):e5 View
  163. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109 View
  164. Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6 View
  165. Frie K, Hartmann-Boyce J, Pilbeam C, Jebb S, Aveyard P. Analysing self-regulatory behaviours in response to daily weighing: a think-aloud study with follow-up interviews. Psychology & Health 2020;35(1):16 View
  166. Lev-On A, Lowenstein-Barkai H. Viewing diaries in an age of new media: An exploratory analysis of mobile phone app diaries versus paper diaries. Methodological Innovations 2019;12(1):205979911984444 View
  167. Chen L, Wang W, Du X, Rao X, van Velthoven M, Yang R, Zhang L, Koepsell J, Li Y, Wu Q, Zhang Y. Effectiveness of a smart phone app on improving immunization of children in rural Sichuan Province, China: study protocol for a paired cluster randomized controlled trial. BMC Public Health 2014;14(1) View
  168. Knight E, Petrella R. Prescribing Physical Activity for Healthy Aging: Longitudinal Follow-Up and Mixed Method Analysis of a Primary Care Intervention. The Physician and Sportsmedicine 2014;42(4):30 View
  169. Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi H. Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14817 View
  170. Chu I, Lim A, Ng C. Effects of meaningful weight loss beyond symptomatic relief in adults with knee osteoarthritis and obesity: a systematic review and meta-analysis. Obesity Reviews 2018;19(11):1597 View
  171. Kliemann N, Croker H, Johnson F, Beeken R. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326 View
  172. DiFilippo K, Huang W, Andrade J, Chapman-Novakofski K. The use of mobile apps to improve nutrition outcomes: A systematic literature review. Journal of Telemedicine and Telecare 2015;21(5):243 View
  173. Choo S, Kim J, Jung S, Kim S, Kim J, Han J, Kim S, Kim J, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24 View
  174. Cho J, Park D, Lee H. Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy. Journal of Medical Internet Research 2014;16(5):e125 View
  175. Alnasser A, Kyle J, Aloumi N, Al-Khalifa A, Marais D. The Twazon Arabic Weight Loss App: App-Based Intervention for Saudi Women With Obesity. JMIR mHealth and uHealth 2019;7(5):e10923 View
  176. Arean P, Hallgren K, Jordan J, Gazzaley A, Atkins D, Heagerty P, Anguera J. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research 2016;18(12):e330 View
  177. van Beurden S, Simmons S, Tang J, Mewse A, Abraham C, Greaves C. Informing the development of online weight management interventions: a qualitative investigation of primary care patient perceptions. BMC Obesity 2018;5(1) View
  178. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287 View
  179. Carter M, Hancock N, Albar S, Brown H, Greenwood D, Hardie L, Frost G, Wark P, Cade J. Development of a New Branded UK Food Composition Database for an Online Dietary Assessment Tool. Nutrients 2016;8(8):480 View
  180. Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790 View
  181. Oh B, Cho B, Han M, Choi H, Lee M, Kang H, Lee C, Yun H, Kim Y. The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(3):e83 View
  182. Lee J, Song S, Ahn J, Kim Y, Lee J. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients 2017;9(7):748 View
  183. Macridis S, Johnston N, Johnson S, Vallance J, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298 View
  184. Azevedo A, de Sousa H, Monteiro J, Lima A. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419 View
  185. Melton B, Bigham L, Wilson C, Buman M. Feasibility and Acceptability of Smartphones and Wearable Devices as an Intervention Tool for College-Aged African American Females in an Experimental Physical Activity Study. International Journal of Kinesiology in Higher Education 2017;1(2):63 View
  186. James Cobb W. Research Methods in Medicine and Health Sciences. MOJ Anatomy & Physiology 2016;2(4) View
  187. Subhi M, Ali S, Mohammed M. Vision-Based Approaches for Automatic Food Recognition and Dietary Assessment: A Survey. IEEE Access 2019;7:35370 View
  188. Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206 View
  189. Barkley J, Lepp A, Santo A, Glickman E, Dowdell B. The relationship between fitness app use and physical activity behavior is mediated by exercise identity. Computers in Human Behavior 2020;108:106313 View
  190. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772 View
  191. Salgado García F, Derefinko K, Bursac Z, Klesges R, Ebbert J, Womack C, Krukowski R. Fit & quit: An efficacy trial of two behavioral post-cessation weight gain interventions. Contemporary Clinical Trials 2019;76:31 View
  192. Asbjørnsen R, Smedsrød M, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen J. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. Journal of Medical Internet Research 2019;21(6):e14265 View
  193. Rodgers R, Franko D, Shiyko M, Intille S, Wilson K, O’Carroll D, Lovering M, Matsumoto A, Iannuccilli A, Luk S, Shoemaker H. Exploring healthy eating among ethnic minority students using mobile technology: Feasibility and adherence. Health Informatics Journal 2016;22(3):440 View
  194. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  195. Ziesemer K, König L, Boushey C, Villinger K, Wahl D, Butscher S, Müller J, Reiterer H, Schupp H, Renner B. Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies. JMIR mHealth and uHealth 2020;8(10):e15430 View
  196. Lupton D. ‘I Just Want It to Be Done, Done, Done!’ Food Tracking Apps, Affects, and Agential Capacities. Multimodal Technologies and Interaction 2018;2(2):29 View
  197. Smith K, Kerr D, Fenner A, Straker L. Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention. Journal of Medical Internet Research 2014;16(4):e103 View
  198. Jung J, Jeon S, Bae H, Cho Y, Hur Y, Sung E, Kang J. Development of a Smartphone Application for 4th-6th Grade Elementary Students Aimed to Prevent Childhood Obesity. The Korean Journal of Obesity 2016;25(2):99 View
  199. Elaheebocus S, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20 View
  200. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1) View
  201. Luo D, Wang P, Lu F, Elias J, Sparks J, Lee Y. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133 View
  202. López D, Torres M, Vélez J, Grullon J, Negrón E, Pérez C, Palacios C. Development and Evaluation of a Nutritional Smartphone Application for Making Smart and Healthy Choices in Grocery Shopping. Healthcare Informatics Research 2017;23(1):16 View
  203. Nguyen H, Silva J. Use of smartphone technology in cardiology. Trends in Cardiovascular Medicine 2016;26(4):376 View
  204. Jacobs D, Petersen K, Svendsen K, Ros E, Sloan C, Steffen L, Tapsell L, Kris-Etherton P. Considerations to facilitate a US study that replicates PREDIMED. Metabolism 2018;85:361 View
  205. Simpson S, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the HelpMeDoIt! feasibility RCT. Public Health Research 2020;8(3):1 View
  206. Nikniaz Z, Shirmohammadi M, Akbari Namvar Z. Development and effectiveness assessment of a Persian-language smartphone application for celiac patients: A randomized controlled clinical trial. Patient Education and Counseling 2021;104(2):337 View
  207. Okorodudu D, Bosworth H, Corsino L. Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature. Annals of Medicine 2015;47(3):179 View
  208. Menon U, Ashing K, Chang M, Christy S, Friberg-Felsted K, Rivas V, Gwede C, Lu Q, Meade C, Sly J, Wang M, Yanez B, Yeary K, Yi J, Alcaraz K. Application of the ConNECT Framework to Precision Health and Health Disparities. Nursing Research 2019;68(2):99 View
  209. Banerjee P, Mendu V, Korrapati D, Gavaravarapu S. Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal 2020;26(2):816 View
  210. Darcy A, Lock J. Using Technology to Improve Treatment Outcomes for Children and Adolescents with Eating Disorders. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):33 View
  211. Lee H, Uhm K, Cheong I, Yoo J, Chung S, Park Y, Lee J, Hwang J. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12) View
  212. Guertler D, Vandelanotte C, Kirwan M, Duncan M. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176 View
  213. Feigin V, Norrving B, George M, Foltz J, Roth G, Mensah G. Prevention of stroke: a strategic global imperative. Nature Reviews Neurology 2016;12(9):501 View
  214. Painter S, Ahmed R, Hill J, Kushner R, Lindquist R, Brunning S, Margulies A. What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring. Journal of Medical Internet Research 2017;19(5):e160 View
  215. Piwek L, Ellis D, Andrews S, Joinson A. The Rise of Consumer Health Wearables: Promises and Barriers. PLOS Medicine 2016;13(2):e1001953 View
  216. Rangan A, O'Connor S, Giannelli V, Yap M, Tang L, Roy R, Louie J, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98 View
  217. Maringer M, van’t Veer P, Klepacz N, Verain M, Normann A, Ekman S, Timotijevic L, Raats M, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1) View
  218. Direito A, Rawstorn J, Mair J, Daryabeygi-Khotbehsara R, Maddison R, Tai E. Multifactorial e- and mHealth interventions for cardiovascular disease primary prevention: Protocol for a systematic review and meta-analysis of randomised controlled trials. DIGITAL HEALTH 2019;5:205520761989048 View
  219. Ahmed A, Roumani A, Szucs K, Zhang L, King D. The Effect of Interactive Web-Based Monitoring on Breastfeeding Exclusivity, Intensity, and Duration in Healthy, Term Infants After Hospital Discharge. Journal of Obstetric, Gynecologic & Neonatal Nursing 2016;45(2):143 View
  220. Bhattarai P, Newton-John T, Phillips J. Quality and Usability of Arthritic Pain Self-Management Apps for Older Adults: A Systematic Review. Pain Medicine 2018;19(3):471 View
  221. Higgins J. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11 View
  222. Turner-McGrievy G, Wilcox S, Kaczynski A, Spruijt-Metz D, Hutto B, Muth E, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. DIGITAL HEALTH 2016;2:205520761665721 View
  223. Pah A, Rasmussen-Torvik L, Goel S, Greenland P, Kho A. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1) View
  224. Tárraga Marcos M, Panisello Royo J, Carbayo Herencia J, Rosich Domenech N, Alins Presas J, Castell Panisello E, Tárraga López P. Análisis de relevancia clínica aplicado a 3 métodos de reducción de peso en pacientes con sobrepeso u obesidad seguidos durante un año. Hipertensión y Riesgo Vascular 2018;35(1):5 View
  225. Singh K, Diamantidis C, Ramani S, Bhavsar N, Mara P, Warner J, Rodriguez J, Wang T, Wright-Nunes J. Patients’ and Nephrologists’ Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical Journal of the American Society of Nephrology 2019;14(4):523 View
  226. Bonilla C, Brauer P, Royall D, Keller H, Hanning R, DiCenso A. Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective. BMC Medical Informatics and Decision Making 2015;15(1) View
  227. Barrett M, Humblet O, Hiatt R, Adler N. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168 View
  228. Prins-van Ginkel A, de Hoog M, Uiterwaal C, Smit H, Bruijning-Verhagen P. Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study. JMIR mHealth and uHealth 2017;5(11):e181 View
  229. Dharma K, Parellangi . Use of mobile-stroke risk scale and lifestyle guidance promote healthy lifestyles and decrease stroke risk factors. International Journal of Nursing Sciences 2020;7(4):401 View
  230. Dumitrescu Ş. Dr. Google, The Specialist in Diabetes and Metabolic Diseases. Romanian Journal of Diabetes Nutrition and Metabolic Diseases 2014;21(3):221 View
  231. Sarcona A, Kovacs L, Wright J, Williams C. Differences in Eating Behavior, Physical Activity, and Health-related Lifestyle Choices between Users and Nonusers of Mobile Health Apps. American Journal of Health Education 2017;48(5):298 View
  232. Mao L, Bai W, Huo Y, Zhou Y, Yao C, Xi S, Chen X, Sun Y. Cross-sectional study of contraceptive use among Chinese women of reproductive age: results based on a mobile application (APP)-derived data. Archives of Gynecology and Obstetrics 2018;297(5):1193 View
  233. Shen C, Wang M, Chu J, Wan A, Viswanath K, Chan S, Lam T. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77 View
  234. Rijsbergen M, Niemeyer‐van der Kolk T, Rijneveld R, Pinckaers J, Meshcheriakov I, Bouwes Bavinck J, van Doorn M, Hogendoorn G, Feiss G, Cohen A, Burggraaf J, van Poelgeest M, Rissmann R. Mobile e‐diary application facilitates the monitoring of patient‐reported outcomes and a high treatment adherence for clinical trials in dermatology. Journal of the European Academy of Dermatology and Venereology 2020;34(3):633 View
  235. Bell K, Warnick E, Nicholson K, Ulcoq S, Kim S, Schroeder G, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649 View
  236. Chen J, Berkman W, Bardouh M, Ng C, Allman-Farinelli M. The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges. Nutrition 2019;57:208 View
  237. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  238. Kozak A, Buscemi J, Hawkins M, Wang M, Breland J, Ross K, Kommu A. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. Journal of Behavioral Medicine 2017;40(1):99 View
  239. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  240. Manika D, Gregory-Smith D, Antonetti P. Pride in Technology-Based Health Interventions: A Double-Edged Sword. Psychology & Marketing 2017;34(4):410 View
  241. BinDhim N, McGeechan K, Trevena L. Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol. BMJ Open 2014;4(7):e005371 View
  242. Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Nutzungsverhalten einer Gesundheitsapplikation zum Selbstmonitoring von Senioren. Prävention und Gesundheitsförderung 2015;10(4):281 View
  243. Safran Naimark J, Madar Z, R Shahar D. The Impact of a Web-Based App (eBalance) in Promoting Healthy Lifestyles: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e56 View
  244. Kinderman P, Hagan P, King S, Bowman J, Chahal J, Gan L, McKnight R, Waldon C, Smith M, Gilbertson J, Tai S. The feasibility and effectiveness of Catch It, an innovative CBT smartphone app. BJPsych Open 2016;2(3):204 View
  245. Palmer M, Sutherland J, Barnard S, Wynne A, Rezel E, Doel A, Grigsby-Duffy L, Edwards S, Russell S, Hotopf E, Perel P, Free C, Niaura R. The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials. PLOS ONE 2018;13(1):e0189801 View
  246. Kwon M, Mun K, Lee J, McLeod D, D’Angelo J. Is mobile health all peer pressure? The influence of mass media exposure on the motivation to use mobile health apps. Convergence: The International Journal of Research into New Media Technologies 2017;23(6):565 View
  247. Lieffers J, Arocha J, Grindrod K, Hanning R. Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. Journal of the Academy of Nutrition and Dietetics 2018;118(2):229 View
  248. Ledford C, Womack J, Rider H, Seehusen A, Conner S, Lauters R, Hodge J. Unexpected Effects of a System-Distributed Mobile Application in Maternity Care: A Randomized Controlled Trial. Health Education & Behavior 2018;45(3):323 View
  249. Fino E, Mazzetti M. Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence. Sleep and Breathing 2019;23(1):13 View
  250. Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101 View
  251. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  252. Nadal C, Sas C, Doherty G. Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement. Journal of Medical Internet Research 2020;22(7):e17256 View
  253. Riaz S, Sykes C. Are smartphone health applications effective in modifying obesity and smoking behaviours? A systematic review. Health and Technology 2015;5(2):73 View
  254. Wyatt J, Thimbleby H, Rastall P, Hoogewerf J, Wooldridge D, Williams J. What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist. Clinical Medicine 2015;15(6):519 View
  255. Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539 View
  256. Ivanova E, Lindner P, Ly K, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27 View
  257. Marcano Belisario J, Jamsek J, Huckvale K, O'Donoghue J, Morrison C, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015 View
  258. Senecal C, Widmer R, Larrabee B, de Andrade M, Lerman L, Lerman A, Lopez-Jimenez F. A Digital Health Weight Loss Program in 250,000 Individuals. Journal of Obesity 2020;2020:1 View
  259. Islam M, Poly T, Walther B, (Jack) Li Y. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR mHealth and uHealth 2020;8(7):e17039 View
  260. Richter J, Ha J, Marx M, Campbell E, Pandolfi M. A Digital Preprocedure Instruction Program for Outpatient Colonoscopy. Telemedicine and e-Health 2020;26(4):468 View
  261. Abdul Manaf Z, Hadi Ruslan A, Mat Ludin A, Abdul Basir S. Motivations, barriers and preferences to exercise among overweight and obese desk-based employees. International Journal of Sport and Exercise Psychology 2020:1 View
  262. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  263. Dowd A, Warbeck C, Tang K, Fung T, Culos-Reed S. MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance. DIGITAL HEALTH 2020;6:205520762090362 View
  264. Naslund J, Aschbrenner K, Barre L, Bartels S. Feasibility of Popular m-Health Technologies for Activity Tracking Among Individuals with Serious Mental Illness. Telemedicine and e-Health 2015;21(3):213 View
  265. Khokhar B, Jones J, Ronksley P, Armstrong M, Caird J, Rabi D. Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis. BMC Obesity 2014;1(1) View
  266. Rohde A, Duensing A, Dawczynski C, Godemann J, Lorkowski S, Brombach C. An App to Improve Eating Habits of Adolescents and Young Adults (Challenge to Go): Systematic Development of a Theory-Based and Target Group–Adapted Mobile App Intervention. JMIR mHealth and uHealth 2019;7(8):e11575 View
  267. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  268. West J, Belvedere L, Andreasen R, Frandsen C, Hall P, Crookston B. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95 View
  269. Kim H, Faw M, Michaelides A. Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention. Journal of Health Communication 2017;22(5):395 View
  270. Haggerty A, Huepenbecker S, Sarwer D, Spitzer J, Raggio G, Chu C, Ko E, Allison K. The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecologic Oncology 2016;140(2):239 View
  271. Koch M, Lermann J, van de Roemer N, Renner S, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt P, Hildebrandt T, Hack C, Pöhls U, Renner S, Thiel F. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1) View
  272. Nwolise C, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641 View
  273. Carter M, Burley V, Cade J. Frequency of electronic dietary self monitoring using a smartphone app and weight loss. Proceedings of the Nutrition Society 2015;74(OCE4) View
  274. Jun M, Ha J. Effect of Smartphone Apps Applying BodyThink Program on Obesity in Adolescent Girls. Journal of Korean Academy of Nursing 2016;46(3):390 View
  275. Hartmann-Boyce J, Jebb S, Fletcher B, Aveyard P. Self-Help for Weight Loss in Overweight and Obese Adults: Systematic Review and Meta-Analysis. American Journal of Public Health 2015;105(3):e43 View
  276. Lemacks J, Adams K, Lovetere A. Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods. Nutrients 2019;11(1):199 View
  277. Shemesh T, Barnoy S. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population. Telemedicine and e-Health 2020;26(9):1141 View
  278. Brindal E, Hendrie G, Freyne J, Noakes M. Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(4):e41 View
  279. Quee F, de Hoog M, Schuurman R, Bruijning-Verhagen P. Community burden and transmission of acute gastroenteritis caused by norovirus and rotavirus in the Netherlands (RotaFam): a prospective household-based cohort study. The Lancet Infectious Diseases 2020;20(5):598 View
  280. Apovian C, Garvey W, Ryan D. Challenging obesity: Patient, provider, and expert perspectives on the roles of available and emerging nonsurgical therapies. Obesity 2015;23:S1 View
  281. Ben Neriah D, Geliebter A. Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(6):e11917 View
  282. Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
  283. Gibson A, Hsu M, Rangan A, Seimon R, Lee C, Das A, Finch C, Sainsbury A. Accuracy of hands v. household measures as portion size estimation aids. Journal of Nutritional Science 2016;5 View
  284. Carter M, Burley V, Cade J. Weight Loss Associated With Different Patterns of Self-Monitoring Using the Mobile Phone App My Meal Mate. JMIR mHealth and uHealth 2017;5(2):e8 View
  285. Huang C, Yang M. Empirical Investigation of Factors Influencing Consumer Intention to Use an Artificial Intelligence-Powered Mobile Application for Weight Loss and Health Management. Telemedicine and e-Health 2020;26(10):1240 View
  286. Hackshaw-McGeagh L, Sutton E, Persad R, Aning J, Bahl A, Koupparis A, Millett C, Martin R, Lane J. Acceptability of dietary and physical activity lifestyle modification for men following radiotherapy or radical prostatectomy for localised prostate cancer: a qualitative investigation. BMC Urology 2017;17(1) View
  287. Vashist S, Schneider E, Luong J. Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management. Diagnostics 2014;4(3):104 View
  288. Ipjian M, Johnston C. Smartphone technology facilitates dietary change in healthy adults. Nutrition 2017;33:343 View
  289. 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
  290. Hezarjaribi N, Mazrouee S, Hemati S, Chaytor N, Perrigue M, Ghasemzadeh H. Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Transactions on Interactive Intelligent Systems 2019;9(4):1 View
  291. Hundert A, Huguet A, McGrath P, Stinson J, Wheaton M. Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review. JMIR mHealth and uHealth 2014;2(3):e36 View
  292. Fukuoka Y, Gay C, Joiner K, Vittinghoff E. A Novel Diabetes Prevention Intervention Using a Mobile App. American Journal of Preventive Medicine 2015;49(2):223 View
  293. Sherifali D, Nerenberg K, Wilson S, Semeniuk K, Ali M, Redman L, Adamo K. The Effectiveness of eHealth Technologies on Weight Management in Pregnant and Postpartum Women: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2017;19(10):e337 View
  294. McCullough M, Guilkey H, Stark L. Cookie or fruit? Relative reinforcing value of snack foods among preschoolers with overweight/obesity compared to healthy weight. Appetite 2017;111:187 View
  295. 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
  296. Lugaresi A, Rottoli M, Patti F. Fostering adherence to injectable disease-modifying therapies in multiple sclerosis. Expert Review of Neurotherapeutics 2014;14(9):1029 View
  297. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393 View
  298. Cradock K, ÓLaighin G, Finucane F, Gainforth H, Quinlan L, Ginis K. Behaviour change techniques targeting both diet and physical activity in type 2 diabetes: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  299. Piwek L, Ellis D. Can Programming Frameworks Bring Smartphones into the Mainstream of Psychological Science?. Frontiers in Psychology 2016;7 View
  300. Cashin M, Wroe J, Campbell L. What parents want to know in the first postnatal year: A Delphi consensus study. Child: Care, Health and Development 2021;47(1):47 View
  301. Lee J, Bae S, Park D, Kim Y, Park J. The effectiveness of a monetary reimbursement model for weight reduction via a smartphone application: a preliminary retrospective study. Scientific Reports 2020;10(1) View
  302. Simpson S, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the ‘HelpMeDoIt!’ feasibility randomised controlled trial. Pilot and Feasibility Studies 2020;6(1) View
  303. Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327 View
  304. Bennett G, Steinberg D, Bolton J, Gallis J, Treadway C, Askew S, Kay M, Pollak K, Turner E. Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial. JMIR Research Protocols 2021;10(1):e19506 View
  305. Nakabayashi J, Melo G, Toral N. Transtheoretical model-based nutritional interventions in adolescents: a systematic review. BMC Public Health 2020;20(1) View
  306. Bushman B. Promoting Weight Management Using Technology. ACSM'S Health & Fitness Journal 2015;19(5):5 View
  307. Rumbo-Rodríguez L, Sánchez-SanSegundo M, Ruiz-Robledillo N, Albaladejo-Blázquez N, Ferrer-Cascales R, Zaragoza-Martí A. Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review. Nutrients 2020;12(12):3634 View
  308. Evenepoel C, Clevers E, Deroover L, Van Loo W, Matthys C, Verbeke K. Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study. Journal of Medical Internet Research 2020;22(10):e18237 View
  309. Yuan S, Couto L, Marques A. Effects of a six-week mobile app versus paper book intervention on quality of life, symptoms, and self-care in patients with fibromyalgia: a randomized parallel trial. Brazilian Journal of Physical Therapy 2020 View
  310. Chlebowski R, Kim J, Haque R. Adherence to Endocrine Therapy in Breast Cancer Adjuvant and Prevention Settings. Cancer Prevention Research 2014;7(4):378 View
  311. Buckworth J. Self-Monitoring for Supporting Change. ACSM'S Health & Fitness Journal 2016;20(4):31 View
  312. Kurscheid T, Redaélli M, Heinen A, Hahmann P, Behle K, Froböse I. App-gesteuerte Feedbackgeräte unterstützen Nachhaltigkeit einer Gewichtsreduktion. Zeitschrift für Psychosomatische Medizin und Psychotherapie 2019;65(3):224 View
  313. Adafer R, Messaadi W, Meddahi M, Patey A, Haderbache A, Bayen S, Messaadi N. Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health. Nutrients 2020;12(12):3770 View
  314. 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
  315. Turner-McGrievy G, Yang C, Monroe C, Pellegrini C, West D. Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement. Journal of Technology in Behavioral Science 2021 View
  316. Andersen T, Byrne D, Wang Q. How Digital Food Affects Our Analog Lives: The Impact of Food Photography on Healthy Eating Behavior. Frontiers in Psychology 2021;12 View
  317. Eicher-Miller H, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021 View
  318. Blanchard C, Chin M, Gilhooly C, Barger K, Matuszek G, Miki A, Côté R, Eldridge A, Green H, Mainardi F, Mehers D, Ronga F, Steullet V, Das S. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. The Journal of Nutrition 2021;151(5):1347 View
  319. Andrade A, Beleigoli A, Diniz M, Ribeiro A. Influence of baseline user characteristics and early usage patterns (24h) on long-term adherence and effectiveness of a web-based weight loss randomized controlled trial: a latent profile analysis (Preprint). Journal of Medical Internet Research 2020 View

Books/Policy Documents

  1. Chen Y, Yang L, Hu H, Chen J, Shen B. Healthcare and Big Data Management. View
  2. Ramalho S, Silva C, Pinto-Bastos A, Conceição E. Obesity. View
  3. Sayed M, Kubalski S. Digitales Betriebliches Gesundheitsmanagement. View
  4. Brizel F. Interdisciplinary Mobile Media and Communications. View
  5. Agboola S, Jethwani K. Career Paths in Telemental Health. View
  6. Ahmad M, Khan M, Bibi M, Ullah Z, Shah S. Mobile Devices and Smart Gadgets in Medical Sciences. View
  7. Holzapfel C. Handbuch Essstörungen und Adipositas. View
  8. Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Präventionsmedizin. View
  9. Brizel F. E-Health and Telemedicine. View
  10. . Big Data and Ethics. View
  11. Seçkin G. Emotions, Technology, and Health. View
  12. Rinaldi G, Rinaldi S. Clinical Handbook of Air Pollution-Related Diseases. View
  13. Kang S. Information Science and Applications 2018. View
  14. Woodside J, Welch R, Patterson C, McKinley M. Nutrition Research Methodologies. View
  15. Chen X, Murtaugh M, Koebnick C, Beddhu S, Garvin J, Conway M, Lee Y, Gouripeddi R, Luo G. Health Information Science. View
  16. Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. View
  17. Al Mazari A. Big Data Analytics in HIV/AIDS Research. View
  18. Vashist S, Luong J. Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. View
  19. Zheng Y, Mancino J, Burke L, Glanz K. Nutrition in the Prevention and Treatment of Disease. View
  20. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. View
  21. Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Lifestyle Medicine. View
  22. Ryan D, Anton S. Present Knowledge in Nutrition. View
  23. Klebbe R, Steinert A, Müller-Werdan U. Perspectives on Wearable Enhanced Learning (WELL). View
  24. Gavalas D, Kasapakis V, Dzardanova E. Encyclopedia of Computer Graphics and Games. View
  25. Hasselmann O, Schauerte B, Schröder J. Fehlzeiten-Report 2017. View
  26. Vashist S, Luong J. Wearable Technology in Medicine and Health Care. View
  27. Lyzwinski L. Obesity and Diabetes. View
  28. Clookey S. Self-Management in Chronic Illness. View
  29. Troxel A. Pragmatic Randomized Clinical Trials. View