Published on in Vol 5, No 7 (2017): July

Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change

Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change

Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change

Journals

  1. Wahl D, Villinger K, Blumenschein M, König L, Ziesemer K, Sproesser G, Schupp H, Renner B. Why We Eat What We Eat: Assessing Dispositional and In-the-Moment Eating Motives by Using Ecological Momentary Assessment. JMIR mHealth and uHealth 2020;8(1):e13191 View
  2. Yoke M. Research Bites. ACSM'S Health & Fitness Journal 2018;22(5):47 View
  3. Owens O, Beer J, Reyes L, Thomas T. Systematic Review of Commercially Available Mobile Phone Applications for Prostate Cancer Education. American Journal of Men's Health 2019;13(1) View
  4. Ahmed M, Oh A, Vanderlee L, Franco-Arellano B, Schermel A, Lou W, L’Abbé M. A randomized controlled trial examining consumers’ perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  5. Schmidt-Kraepelin M, Toussaint P, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280 View
  6. Touyz L, Cohen J, Wakefield C, Grech A, Garnett S, Gohil P, Cohn R. Design and Rationale for a Parent-Led Intervention to Increase Fruit and Vegetable Intake in Young Childhood Cancer Survivors (Reboot): Protocol for a Pilot Study. JMIR Research Protocols 2018;7(5):e129 View
  7. Bradley L, Smith-Mason C, Corsica J, Kelly M, Hood M. Remotely Delivered Interventions for Obesity Treatment. Current Obesity Reports 2019;8(4):354 View
  8. Samoggia A, Bordoni A, Monticone F. Data on the potential of nutrition-information apps from a consumer behaviour perspective. Data in Brief 2020;30:105558 View
  9. Nour M, Rouf A, Allman-Farinelli M. Exploring young adult perspectives on the use of gamification and social media in a smartphone platform for improving vegetable intake. Appetite 2018;120:547 View
  10. Gawlik K, Melnyk B, Tan A, Amaya M. Heart checks in college-aged students link poor sleep to cardiovascular risk. Journal of American College Health 2019;67(2):113 View
  11. Nichols M, Miller S, Treiber F, Ruggiero K, Dawley E, Teufel II R. Patient and Parent Perspectives on Improving Pediatric Asthma Self-Management Through a Mobile Health Intervention: Pilot Study. JMIR Formative Research 2020;4(7):e15295 View
  12. Skar J, Garnweidner-Holme L, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102 View
  13. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  14. Nikolaou C, Tay Z, Leu J, Rebello S, Te Morenga L, Van Dam R, Lean M. Young People’s Attitudes and Motivations Toward Social Media and Mobile Apps for Weight Control: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(10):e11205 View
  15. 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
  16. Ehlers A, Folk L, Paape B, Ricciardone E, Sloger H, Valipour A. Letter to the Editor. The Journal for Nurse Practitioners 2020;16(10):A16 View
  17. Neffa-Creech D, Clarke P, Evans S, Glovinsky J. “Food is something everyone should participate in”: A positive deviance approach to understanding the use of a food and nutrition app in low-income, Latino homes. SAGE Open Medicine 2020;8 View
  18. Li Y, Ding J, Wang Y, Tang C, Zhang P. Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2019;7(7):e13261 View
  19. Prapkree L, Sadjadi M, Huffman F, Palacios C. Development and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy Snacks. Healthcare Informatics Research 2019;25(3):161 View
  20. Alshurafa N, Jain J, Alharbi R, Iakovlev G, Spring B, Pfammatter A. Is More Always Better?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(4):1 View
  21. Klein J. Utilization of Mobile Nutrition Applications by Patients With Chronic Kidney Disease. Journal of Renal Nutrition 2019;29(1):e5 View
  22. Rapp A, Tirassa M, Tirabeni L. Rethinking Technologies for Behavior Change. ACM Transactions on Computer-Human Interaction 2019;26(4):1 View
  23. Paramastri R, Pratama S, Ho D, Purnamasari S, Mohammed A, Galvin C, Hsu Y, Tanweer A, Humayun A, Househ M, Iqbal U. Use of mobile applications to improve nutrition behaviour: A systematic review. Computer Methods and Programs in Biomedicine 2020;192:105459 View
  24. Tonkin E, Jeffs L, Wycherley T, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192 View
  25. 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
  26. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836 View
  27. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539 View
  28. Eicher-Miller H, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021;12(3):1032 View
  29. Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496 View
  30. Hu E, Pasupuleti M, Nguyen V, Langheier J, Shurney D. Sustaining weight loss among adults with obesity using a digital meal planning and food purchasing platform for 12, 24, and 36 months: a longitudinal study. Nutrition Journal 2021;20(1) View
  31. Gonzalez-Ramirez M, Cejudo-Lopez A, Lozano-Navarrete M, Salamero Sánchez-Gabriel E, Torres-Bengoa A, Segura-Balbuena M, Sanchez-Cordero M, Barroso-Vazquez M, Perez-Barba F, Troncoso A, Garcia-Parrilla M, Cerezo A. SAlBi educa: A promising, tailored nutrition app for promoting healthy eating habits (Preprint). JMIR Formative Research 2020 View
  32. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160 View
  33. Fahey M, Klesges R, Kocak M, Gladney L, Talcott G, Krukowski R. Counselor Efficiency at Providing Feedback in a Technology-Based Behavioral Weight Loss Intervention: Longitudinal Analysis. JMIR Formative Research 2021;5(5):e23974 View
  34. Lemke M, Schifferstein H. The use of ICT devices as part of the solo eating experience. Appetite 2021;165:105297 View
  35. König L, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037 View
  36. Farage G, Simmons C, Kocak M, Klesges R, Talcott G, Richey P, Hare M, Johnson K, Sen S, Krukowski R. Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study. JMIR mHealth and uHealth 2021;9(7):e18741 View
  37. KC B, Alrasheedy A, Goh B, Blebil A, Bangash N, Mohamed Ibrahim M, Rehman I. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755 View
  38. Ryan M. The ethics of dietary apps: Technology, health, and the capability approach. Technology in Society 2022;68:101873 View
  39. 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
  40. Valinskas S, Aleknavicius K, Jonusas J. KetoCycle mobile app for ketogenic diet: a retrospective study of weight loss and engagement. BMC Nutrition 2022;8(1) View
  41. Morillo P, Navarro-Pérez J, Orduña J, Fernández M. Evaluation of an Intervention Program Based on Mobile Apps to Learn Sexism Prevention in Teenagers. ACM Transactions on Multimedia Computing, Communications, and Applications 2022;18(2):1 View
  42. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879 View
  43. Abdul Basir S, Abdul Manaf Z, Mohd. Noor N, Mat Ludin A, Shahar S, Abdul Manaf M. The Challenges and Strategies towards Healthy Eating during COVID-19 Home Confinement Period among Working Adults with BMI ≥ 25 kg/m2 Enrolled in a Weight Loss Program: Qualitative Findings. International Journal of Environmental Research and Public Health 2022;19(11):6656 View
  44. Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
  45. Martínez-Rodríguez A, Martínez-Olcina M, Mora J, Navarro P, Caturla N, Jones J. New App-Based Dietary and Lifestyle Intervention on Weight Loss and Cardiovascular Health. Sensors 2022;22(3):768 View
  46. Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235 View
  47. Valinskas S, Aleknavicius K, Nakrys M, Jonusas J. Fasting and weight loss: mobile application-based approach. BMC Nutrition 2022;8(1) View
  48. Slazus C, Ebrahim Z, Koen N. Mobile health apps: An assessment of needs, perceptions, usability, and efficacy in changing dietary choices. Nutrition 2022;101:111690 View
  49. Bocking H, Russell-Bennett R, Letheren K. I'm no expert, but … ? Consumer use of supportive digital tools in health services. Journal of Service Theory and Practice 2022;32(2):105 View
  50. Frick M, Neu L, Liebhaber N, Sperner-Unterweger B, Stötter J, Keller L, Hüfner K. Why Do We Harm the Environment or Our Personal Health despite Better Knowledge? The Knowledge Action Gap in Healthy and Climate-Friendly Behavior. Sustainability 2021;13(23):13361 View
  51. Agher D, Sedki K, Despres S, Albinet J, Jaulent M, Tsopra R. Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality. Journal of Medical Internet Research 2022;24(1):e25384 View
  52. Jiang S, Zhang L, Teo K. Social Use of Fitness Apps and Physical Activity Knowledge: The Roles of Information Elaboration and Interpersonal Communication. Journal of Broadcasting & Electronic Media 2021;65(4):549 View
  53. McAleese D, Linardakis M, Papadaki A. Quality and Presence of Behaviour Change Techniques in Mobile Apps for the Mediterranean Diet: A Content Analysis of Android Google Play and Apple App Store Apps. Nutrients 2022;14(6):1290 View
  54. Knowlden A, Wilkerson A, Dunlap K, Stellefson M, Elijah O. Systematic review of electronically delivered behavioral obesity prevention interventions targeting men. Obesity Reviews 2022;23(9) View
  55. Ulfa M, Setyonugroho W, Lestari T, Widiasih E, Nguyen Quoc A, Schiavo L. Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring. Journal of Nutrition and Metabolism 2022;2022:1 View
  56. Sajjadi P, Edwards C, Zhao J, Fatemi A, Long J, Klippel A, Masterson T. Remote iVR for Nutrition Education: From Design to Evaluation. Frontiers in Computer Science 2022;4 View
  57. Lim W, Fook-Chong S, Lim J, Gan W. The Outcomes of App-Based Health Coaching to Improve Dietary Behavior Among Nurses in a Tertiary Hospital: Pilot Intervention Study. JMIR Nursing 2022;5(1):e36811 View
  58. Kral T, O’Malley L, Johnson K, Benvenuti T, Chittams J, Quinn R, Thomas J, Pinto-Martin J, Levy S, Kuschner E. Effects of a mobile health nutrition intervention on dietary intake in children who have autism spectrum disorder. Frontiers in Pediatrics 2023;11 View
  59. An R, Perez-Cruet J, Wang J. We got nuts! use deep neural networks to classify images of common edible nuts. Nutrition and Health 2024;30(2):301 View
  60. Valinskas S, Nakrys M, Aleknavičius K, Jonusas J, Lileikienė A. User Engagement and Weight Loss Facilitated by a Mobile App: Retrospective Review of Medical Records. JMIR Formative Research 2023;7:e42266 View
  61. Zenun Franco R, Fallaize R, Weech M, Hwang F, Lovegrove J. Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(4):e29088 View
  62. Nebeker C. mHealth Research Applied to Regulated and Unregulated Behavioral Health Sciences. Journal of Law, Medicine & Ethics 2020;48(S1):49 View
  63. Oc Y, Plangger K. GIST do it! How motivational mechanisms help wearable users develop healthy habits. Computers in Human Behavior 2022;128:107089 View
  64. Alonso-Bernáldez M, Palou-March A, Zamanillo-Campos R, Palou A, Palou M, Serra F. A Diet Profiling Algorithm (DPA) to Rank Diet Quality Suitable to Implement in Digital Tools—A Test Study in a Cohort of Lactating Women. Nutrients 2023;15(6):1337 View
  65. Mobley A, Jake-Schoffman D, Fedele D, Varela E, Zeldman J. BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers. International Journal of Environmental Research and Public Health 2023;20(6):4769 View
  66. Wei H, Yang Y, Luo T, Chen W. Effectiveness of mobile health interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis. Journal of Obstetrics and Gynaecology 2023;43(2) View
  67. Sophasath M, Brisset A, Rose C, Bémeur C. Nutritional education strategies for patients with cirrhosis: A narrative review. Patient Education and Counseling 2023;115:107878 View
  68. Rapp A, Boldi A. Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCI. ACM Transactions on Computer-Human Interaction 2023;30(6):1 View
  69. Ayyanu R, Arul A, Song N, Anand Babu Christus A, Li X, Tamilselvan G, Bu Y, Kavitha S, Zhang Z, Liu N. Wearable sensor platforms for real-time monitoring and early warning of metabolic disorders in humans. The Analyst 2023;148(19):4616 View
  70. 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
  71. Yuan S, Liu M, Peng Y, Hu J, Li B, Ding X, Xie L. “Internet+Nursing Service” Mobile Apps in China App Stores: Functionality and Quality Assessment Study. JMIR mHealth and uHealth 2024;12:e52169 View
  72. Shannon O, Townsend R, Malcomson F, Matu J, Griffiths A, Jennings A, Ward N, Papier K, Best N, French C, Scheelbeek P, Kim C, Ochieng B, Jay F, Shepherd K, Corfe B, Fairley A, McEvoy C, Minihane A, Sim Y, Stevenson E, Gregory S. Adherence to the Eatwell Guide and population and planetary health: A Rank Prize Forum report. Nutrition Bulletin 2024;49(1):108 View
  73. Avila-Montiel D, Vilchis-Gil J, Miranda-Lora A, Velázquez-López L, Klünder-Klünder M. The Effects of an Educational Intervention About Front-of-Package Labeling on Food and Beverage Selection Among Children and Their Caregivers: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e54783 View
  74. Reséndiz-Martínez L, Ronquillo-González D, Vázquez-Bravo F, de la Torre-Carbot K, Caamaño M. Exploración de necesidades, motivaciones y limitaciones en relación con la alimentación saludable y recursos digitales: un estudio cualitativo en un entorno de educación primaria en México. Atención Primaria 2024;56(8):102933 View
  75. An R, Perez-Cruet J, Wang X, Yang Y. Build Deep Neural Network Models to Detect Common Edible Nuts from Photos and Estimate Nutrient Portfolio. Nutrients 2024;16(9):1294 View
  76. Barrafrem K, Tinghög G, Västfjäll D. Behavioral and contextual determinants of different stages of saving behavior. Frontiers in Behavioral Economics 2024;3 View
  77. Dorje T, Zhao G, Scheer A, Tsokey L, Wang J, Chen Y, Tso K, Tan B, Ge J, Maiorana A. SMARTphone and social media-based Cardiac Rehabilitation and Secondary Prevention (SMART-CR/SP) for patients with coronary heart disease in China: a randomised controlled trial protocol. BMJ Open 2018;8(6):e021908 View
  78. Grandinetti J. Gluten-free apps, disability, and travel: Developing a critical heuristic for the implementation of mobile apps. Mobile Media & Communication 2024 View
  79. Peksever D, Seçkiner S, Meseri R. Nutrition Education via a Mobile Application on Weight Loss and Quality of Life: A Randomized Controlled Trial. Clinical and Experimental Health Sciences 2024;14(2):377 View
  80. Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2024 View
  81. Sevin R, Humayrah W. Pengaruh Penggunaan Aplikasi "Tentang Anak" Terhadap Pengetahuan, Sikap dan Perilaku Ibu dalam Memantau Status Gizi Baduta. Amerta Nutrition 2024;8(2):180 View
  82. Nogueira-Rio N, Varela Vazquez L, Lopez-Santamarina A, Mondragon-Portocarrero A, Karav S, Miranda J. Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review. Dietetics 2024;3(4):483 View
  83. Alnooh G, AlTamimi J, Williams E, Hawley M. An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study. JMIR Formative Research 2024;8:e60037 View
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Books/Policy Documents

  1. Al-Sayed L. Food Tech Transitions. View
  2. Azaria B, Kaye R, Ron R, Chen O, Bar-Ilan M, Zlatkin A, Rotlevi E, Yeshayahu M, Roca J, Cano I, Baltaxe E, de Batlle J, Torres G, Lahr M. Impacts of Information Technology on Patient Care and Empowerment. View
  3. Paige S. Nutrition, Fitness, and Mindfulness. View
  4. Bhanote V, Pandey A, Agrawal A, Manohar S. Big Data Analytics and Artificial Intelligence in the Healthcare Industry. View
  5. Li S, Wang J. Diabetes Digital Health and Telehealth. View