A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates-Reference-Cited by-同舟云学术

A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates

Published:2019-05-17 Issue:5 Volume:7 Page:e9232
ISSN:2291-5222
Container-title:JMIR mHealth and uHealth
language:en
Short-container-title:JMIR Mhealth Uhealth

Author:

Ferrara Giannina^ORCID,Kim Jenna^ORCID,Lin Shuhao^ORCID,Hua Jenna^ORCID,Seto Edmund^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference52 articles.

1. PohlMResearch 2 Guidance20172018-08-08research2guidance325,000 mobile health apps available in 2017 - Android now the leading mHealth platform https://research2guidance.com/325000-mobile-health-apps-available-in-2017/

3. Mobile Applications for Weight Management

4. Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis

5. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis

Cited by 146 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decoding heterogeneity in data-driven self-monitoring adherence trajectories in digital lifestyle interventions for weight loss: a qualitative study;BMC Digital Health;2024-09-10

2. Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study;JMIR mHealth and uHealth;2024-09-04

3. Digital native students using nutritional apps: are they more adherent to a mediterranean diet model? Results from the good APPetite survey;Smart Health;2024-09

4. A mixed-methods longitudinal examination of weight-related self-monitoring and disordered eating among a population-based sample of emerging adults;Journal of Eating Disorders;2024-08-07

5. Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care;Nutrients;2024-08-05