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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) mHealth for Wellness, Behavior Change and Prevention (3315) mHealth for Data Collection and Research (1196) Mobile Health (mhealth) (3464) Mobile Apps for Cardiology (189) Cardiovascular Disease Prevention (206)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54509, first published .
Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study

Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study

Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study

Authors of this article:

Dang Khanh Ngan Ho1 Author Orcid Image ;   Wan-Chun Chiu1, 2 Author Orcid Image ;   Jing-Wen Kao1 Author Orcid Image ;   Hsiang-Tung Tseng1 Author Orcid Image ;   Cheng-Yu Lin1 Author Orcid Image ;   Pin-Hsiang Huang1 Author Orcid Image ;   Yu-Ren Fang1 Author Orcid Image ;   Kuei-Hung Chen1 Author Orcid Image ;   Ting-Ying Su1 Author Orcid Image ;   Chia-Hui Yang1 Author Orcid Image ;   Chih-Yuan Yao3 Author Orcid Image ;   Hsiu-Yueh Su1, 4 Author Orcid Image ;   Pin-Hui Wei2 Author Orcid Image ;   Jung-Su Chang1, 5, 6, 7, 8 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Sheen F, Porter L, Papakonstantinou T, Ceka M, Bondaronek P. Living well? The unintended consequences of highly popular commercial fitness apps through social listening using Machine‐Assisted Topic Analysis: Evidence from X. British Journal of Health Psychology 2025;30(4) View
  2. Morello O, McPhee L, Kucab M, Bellissimo N, Totosy de Zepetnek J. Reliability and Validity of Nutrient Assessment Applications for Canadian Endurance Athletes: MyFitnessPal and Cronometer. Journal of Human Nutrition and Dietetics 2025;38(5) View
  3. Chen Y, Chang C, Hoang Y, Lin A, Lin W, Lin C, Patricia E, Tissadharma J, Kuanca J, Nobelta N, Theo K, Ho D, Wei P, Chang J. Customized multimodal Diabot-GPT-4o enhances accuracy of image-based dietary assessments in dietetic trainees in Taiwan: validation against weighed food records. The American Journal of Clinical Nutrition 2025;122(6):1836 View