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

mHealth for Wellness, Behavior Change and Prevention (2865) Mobile Health (mhealth) (2929) Innovations and Technology for Healthy Eating Education (412) Obesity and Nutrition as Public Health Problem (303) Prevention and Health Promotion (981)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39515, first published .
Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study

Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study

Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study

Authors of this article:

Sandra van der Haar1 Author Orcid Image ;   Ireen Raaijmakers2 Author Orcid Image ;   Muriel C D Verain2 Author Orcid Image ;   Saskia Meijboom1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. 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
  2. Li X, Yin A, Choi H, Chan V, Allman-Farinelli M, Chen J. Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care. Nutrients 2024;16(15):2573 View
  3. Li S, Du Y, Meireles C, Song D, Sharma K, Yin Z, Brimhall B, Wang J. Decoding heterogeneity in data-driven self-monitoring adherence trajectories in digital lifestyle interventions for weight loss: a qualitative study. BMC Digital Health 2024;2(1) View