Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20037, first published .
Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework

Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework

Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework

Journals

  1. Cao W, Milks M, Liu X, Gregory M, Addison D, Zhang P, Li L. mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring. JMIR mHealth and uHealth 2022;10(3):e29415 View
  2. 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
  3. Lucassen D, Lasschuijt M, Camps G, Van Loo E, Fischer A, de Vries R, Haarman J, Simons M, de Vet E, Bos-de Vos M, Pan S, Ren X, de Graaf K, Lu Y, Feskens E, Brouwer-Brolsma E. Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium. International Journal of Environmental Research and Public Health 2021;18(15):7877 View
  4. Mustafa A, Ali N, Dhillon J, Alkawsi G, Baashar Y. User Engagement and Abandonment of mHealth: A Cross-Sectional Survey. Healthcare 2022;10(2):221 View
  5. 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
  6. Prosekov A, Vesnina A, Kozlova O. The methodology of food design. Part 2. Digital nutritiology in personal food. Theory and practice of meat processing 2022;6(4):328 View
  7. 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
  8. Hermsen S, van Kraaij A, Camps G. Low– and Medium–Socioeconomic-Status Group Members’ Perceived Challenges and Solutions for Healthy Nutrition: Qualitative Focus Group Study. JMIR Human Factors 2022;9(4):e40123 View
  9. Hendriks Y, Peek S, Kaptein M, Bongers I. Process and Information Needs When Searching for and Selecting Apps for Smoking Cessation: Qualitative Study Using Contextual Inquiry. JMIR Human Factors 2022;9(2):e32628 View
  10. Kavanagh M, Chiavaroli L, Glenn A, Heijmans G, Grant S, Chow C, Josse R, Malik V, Watson W, Lofters A, Holmes C, Rackal J, Srichaikul K, Sherifali D, Snelgrove-Clarke E, Udell J, Juni P, Booth G, Farkouh M, Leiter L, Kendall C, Jenkins D, Sievenpiper J. A Web-Based Health Application to Translate Nutrition Therapy for Cardiovascular Risk Reduction in Primary Care (PortfolioDiet.app): Quality Improvement and Usability Testing Study. JMIR Human Factors 2022;9(2):e34704 View
  11. Scarry A, Rice J, O’Connor E, Tierney A. Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults. Nutrients 2022;14(12):2437 View
  12. 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
  13. Prowse R, Carsley S. Digital Interventions to Promote Healthy Eating in Children: Umbrella Review. JMIR Pediatrics and Parenting 2021;4(4):e30160 View
  14. Fewings A, Vandelanotte C, Irwin C, Ting C, Williams E, Khalesi S. The use and acceptability of diet-related apps and websites in Australia: Cross-sectional study. DIGITAL HEALTH 2022;8:205520762211390 View
  15. König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
  16. Szinay D, Forbes C, Busse H, DeSmet A, Smit E, König L. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3) View
  17. Taylor L, Dibb B. Exploring users and non-users views of the Digital Twin on a mHealth app: a Thematic, qualitative approach. Cogent Psychology 2022;9(1) View
  18. Kwasnicka D, Keller J, Perski O, Potthoff S, ten Hoor G, Ainsworth B, Crutzen R, Dohle S, van Dongen A, Heino M, Henrich J, Knox L, König L, Maltinsky W, McCallum C, Nalukwago J, Neter E, Nurmi J, Spitschan M, Van Beurden S, Van der Laan L, Wunsch K, Levink J, Sanderman R. White Paper: Open Digital Health – accelerating transparent and scalable health promotion and treatment. Health Psychology Review 2022;16(4):475 View
  19. Alzahrani A, Gay V, Alturki R. Exploring Saudi Individuals’ Perspectives and Needs to Design a Hypertension Management Mobile Technology Solution: Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(19):12956 View
  20. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano M, Solvoll T, Granja C, Schopf T, Callico G, Soguero-Ruiz C, Wägner A. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030 View
  21. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637 View
  22. van der Haar S, Raaijmakers I, Verain M, Meijboom S. Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e39515 View
  23. Attig C, Franke T. Why Do People Abandon Activity Trackers? The Role of User Diversity in Discontinued Use. International Journal of Human–Computer Interaction 2023;39(8):1662 View
  24. McCurdy L, Loya J, Hart-Derrick V, Young G, Kiluk B, Potenza M. Smartphone Apps for Problem Gambling: a Review of Content and Quality. Current Addiction Reports 2023;10(2):178 View
  25. Agyei E, Miettunen J, Oinas-Kukkonen H. Effective interventions and features for coronary heart disease: a meta-analysis. Behaviour & Information Technology 2023:1 View
  26. Erlich M, Lindblad S, Haskey N, Clarkin D, Dong T, Harvie R, Lunken G, Pirnack J, Jacobson K. User testing to modify the MyHealthyGut digital health application for inflammatory bowel disease. DIGITAL HEALTH 2023;9 View
  27. Bohn T, Ferrini K, Stahl C. LIFANA – toward developing a meal recommender system as a dietary support app for the elderly. International Journal for Vitamin and Nutrition Research 2023 View
  28. El-Toukhy S, Pike J, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e47567 View
  29. Renner B, Buyken A, Gedrich K, Lorkowski S, Watzl B, Linseisen J, Daniel H, Conrad J, Ferrario P, Holzapfel C, Leitzmann M, Richter M, Simon M, Sina C, Wirsam J. Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs). Advances in Nutrition 2023;14(5):983 View
  30. Cao W, Li L, Mathur P, Thompson J, Milks M. A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability. BMC Medical Informatics and Decision Making 2023;23(1) View
  31. Serra M, Alceste D, Hauser F, Hulshof P, Meijer H, Thalheimer A, Steinert R, Gerber P, Spector A, Gero D, Bueter M. Assessing daily energy intake in adult women: validity of a food-recognition mobile application compared to doubly labelled water. Frontiers in Nutrition 2023;10 View
  32. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View
  33. Bao H, Lee E. Examining Theoretical Frameworks and Antecedents of Health Apps and Wearables Use: A Scoping Review. Health Communication 2023:1 View
  34. Wasserman S, Ould Brahim L, Attiya A, Belzile E, Lambert S. An Evaluation of Interactive mHealth Applications for Adults Living with Cancer. Current Oncology 2023;30(8):7151 View
  35. Alnooh G, Alessa T, Noorwali E, Albar S, Williams E, de Witte L, Hawley M. Identification of the Most Suitable Mobile Apps to Support Dietary Approaches to Stop Hypertension (DASH) Diet Self-Management: Systematic Search of App Stores and Content Analysis. Nutrients 2023;15(15):3476 View
  36. Puga T, Mazumder R, Ruan T, Scigliano N, Thiel G, Treffer K. Sleep, nutrition, hydration and rest. Scientific Journal of Sport and Performance 2023;2(4):428 View
  37. Hershey M, Bouziani E, Chen X, Lidoriki I, Hadkhale K, Huang Y, Filippou T, López-Gil J, Gribble A, Lan F, Sotos-Prieto M, Kales S. Surviving & Thriving; a healthy lifestyle app for new US firefighters: usability and pilot study protocol. Frontiers in Endocrinology 2023;14 View
  38. Charry K, Poncin I, Kullak A, Hollebeek L. Gamification's role in fostering user engagement with healthy food‐based digital content. Psychology & Marketing 2024;41(1):69 View
  39. Ocké M, Dinnissen C, van den Bogaard C, Beukers M, Drijvers J, Sanderman-Nawijn E, van Rossum C, Toxopeus I. A Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study. JMIR mHealth and uHealth 2024;12:e50196 View
  40. König L, Krukowski R, Kuntsche E, Busse H, Gumbert L, Gemesi K, Neter E, Mohamed N, Ross K, John-Akinola Y, Cooper R, Allmeta A, Silva A, Forbes C, Western M. Reducing intervention- and research-induced inequalities to tackle the digital divide in health promotion. International Journal for Equity in Health 2023;22(1) View
  41. Moungui H, Nana-Djeunga H, Anyiang C, Cano M, Ruiz Postigo J, Carrion C. Dissemination Strategies for mHealth Apps: Systematic Review. JMIR mHealth and uHealth 2024;12:e50293 View
  42. Krukowski R, Denton A, König L. Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  43. Krukowski R, Ross K, Western M, Cooper R, Busse H, Forbes C, Kuntsche E, Allmeta A, Silva A, John-Akinola Y, König L. Digital health interventions for all? Examining inclusivity across all stages of the digital health intervention research process. Trials 2024;25(1) View
  44. Li S, Du Y, Miao H, Sharma K, Li C, Yin Z, Brimhall B, Wang J. Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e53294 View
  45. Chen H, Schoefer K, Manika D, Tzemou E. The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research. Journal of Public Policy & Marketing 2024;43(2):151 View
  46. Verain M, Raaijmakers I, Meijboom S, van der Haar S. Differences in drivers of healthy eating and nutrition app preferences across motivation-based consumer groups. Food Quality and Preference 2024;116:105145 View
  47. Milne-Ives M, Rahman E, Bradwell H, Baines R, Boey T, Potter A, Lawrence W, Helena van Velthoven M, Meinert E, Ayatollahi H. Barriers and facilitators to parents’ engagement with and perceived impact of a childhood obesity app: A mixed-methods study. PLOS Digital Health 2024;3(3):e0000481 View
  48. Orue-Saiz I, Rico-González M, Pino-Ortega J, Méndez-Zorrilla A. Improving diet through a recommendation system using physical activity data and healthy diet indexes of female futsal players. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 2024 View
  49. Lurz M, Gemesi K, Holzmann S, Kretzschmar B, Wintergerst M, Groh G, Böhm M, Gedrich K, Hauner H, Krcmar H, Holzapfel C. Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey. BMC Public Health 2024;24(1) View
  50. Manaf Z, Rosli M, Noor N, Jamil N, Mazri F, Shahar S. Exploring dietitians’ views on digital nutrition educational tools in Malaysia: a qualitative study. Nutrition Research and Practice 2024;18(2):294 View
  51. Tang H, Mok E, Yeung H, Wei M, Yeung J. Digital health and medical technology for perioperative sarcopenia optimisation and prehabilitation – Where to go from here?. European Journal of Surgical Oncology 2024;50(7):108376 View

Books/Policy Documents

  1. Cerra Z, Apicella M. Smartphone Apps for Health and Wellness. View
  2. Lurz M, Fischer S, Böhm M, Krcmar H. Human-Computer Interaction. Theoretical Approaches and Design Methods. View
  3. Haridi H, Alsaleh S, Alzabin S, Almasabi M, Almakrami A, Al-Swedan A, Aman A. Proceedings of Seventh International Congress on Information and Communication Technology. View
  4. Lurz M, Prommegger B, Böhm M, Krcmar H. Human-Computer Interaction. View
  5. Bieling T, Carr D, Fischer U, König L, Ochsner B, Reips U, Spöhrer M. Disability and Video Games. View