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

Wearables and MHealth Reviews (283)

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 König1, 2 Author Orcid Image ;   Christiane Attig3 Author Orcid Image ;   Thomas Franke4 Author Orcid Image ;   Britta Renner1 Author Orcid Image
Article Authors Cited by (89) Tweetations (32) Metrics

Journals

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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
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Conference Proceedings

  1. Halder N, Tabassum Y, Islam A, Sultana N, Smaron J, Islam A. 2024 Advances in Science and Engineering Technology International Conferences (ASET). Design and Evaluation of the PustiPothika mHealth App: A Machine Learning-Enabled Solution for Daily Nutritional Monitoring and Recommendations in Bangladesh View
  2. D. E, R K, Jayabarathan J, Aanjankumar S. 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). FlexFlow- The Nutrients and Recommendation Application Using Machine Learning View