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

Wearables and MHealth Reviews (227)

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

Authors of this article:

Laura Maria König 1, 2 Author Orcid Image ;   Christiane Attig 3 Author Orcid Image ;   Thomas Franke 4 Author Orcid Image ;   Britta Renner 1 Author Orcid Image
Article Authors Cited by (28) Tweetations (35) Metrics

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. Consumers’ needs in nutrition apps to start and maintain usage: a mixed methods study (Preprint). JMIR mHealth and uHealth 2022 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 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

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