Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18237, first published .
Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study

Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study

Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study

Journals

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  4. Azzano P, Samier L, Lachaux A, Truc F, Béghin L. Pilot Study of the Applicability, Usability, and Accuracy of the Nutricate© Online Application, a New Dietary Intake Assessment Tool for Managing Infant Cow’s Milk Allergy. Nutrients 2023;15(4):1045 View
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  6. Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879 View
  7. Lovan P, George F, Coccia C. Calorie Compensation and Self-Regulation of Food Intake in College Students. Journal of Nutrition Education and Behavior 2022;54(4):311 View
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  9. Barakat C, Escalante G, Stevenson S, Bradshaw J, Barsuhn A, Tinsley G, Walters J. Can Bodybuilding Peak Week Manipulations Favorably Affect Muscle Size, Subcutaneous Thickness, and Related Body Composition Variables? A Case Study. Sports 2022;10(7):106 View
  10. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144 View
  11. Stewart C, Bianchi F, Frie K, Jebb S. Comparison of Three Dietary Assessment Methods to Estimate Meat Intake as Part of a Meat Reduction Intervention among Adults in the UK. Nutrients 2022;14(3):411 View
  12. MARCHANT E, MARCHANT N, HYLDAHL R, GIFFORD J, SMITH M, HANCOCK C. Skeletal Muscle Mitochondrial Function after a 100-km Ultramarathon: A Case Study in Monozygotic Twins. Medicine & Science in Sports & Exercise 2021;53(11):2363 View
  13. Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, Belle F, Chatelan A, Paclet Lafaille M, Bochud M, Gonseth Nusslé S. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients 2022;14(3):635 View
  14. Toro-Román V, Prieto-González I, Siquier-Coll J, Bartolomé I, Grijota F, Maynar-Mariño M. Effects of High Temperature Exposure on the Wingate Test Performance in Male University Students. International Journal of Environmental Research and Public Health 2023;20(6):4782 View
  15. Irvin L, Madden L, Marshall P, Vince R. Digital Health Solutions for Weight Loss and Obesity: A Narrative Review. Nutrients 2023;15(8):1858 View
  16. Bul K, Holliday N, Bhuiyan M, Clark C, Allen J, Wark P. Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study. JMIR Human Factors 2023;10:e43959 View
  17. Thornton K, Seals-Nutt K, Matsuzaki M, Dooley D, Griffiths E, Hitzler P, Janowicz K, Solanki M, Sharda A, Shimizu C, Wallace E. Reuse of the FoodOn ontology in a knowledge base of food composition data. Semantic Web 2023:1 View
  18. Verbeke J, Boedt T, Matthys C. Development and validity of a short web-based semi-quantitative Food Frequency Questionnaire applicable in both clinical and research setting: an evolution over time. Frontiers in Nutrition 2023;10 View
  19. Leino A, Magee J, Kershaw D, Pai M, Park J. A Comprehensive Mixed‐Method Approach to Characterize the Source of Diurnal Tacrolimus Exposure Variability in Children: Systematic Review, Meta‐analysis, and Application to an Existing Data Set. The Journal of Clinical Pharmacology 2023 View
  20. Ho D, Chiu W, Kao J, Tseng H, Yao C, Su H, Wei P, Le N, Nguyen H, Chang J. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app. Nutrition 2023;116:112212 View
  21. Kamoda T, Sakamoto R, Katayose M, Yamamoto S, Neki T, Sato K, Iwamoto E. Skipping breakfast does not accelerate the hyperglycemia-induced endothelial dysfunction but reduces blood flow of the brachial artery in young men. European Journal of Applied Physiology 2024;124(1):295 View
  22. Gioia S, Vlasac I, Babazadeh D, Fryou N, Do E, Love J, Robbins R, Dashti H, Lane J. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858 View
  23. Faulkner R, Rangel T, Penders R, Saul T, Bindler R, Miller L, Wilson M. Differences in nutritional profile by chronotype among 12-h day shift and night shift nurses. Chronobiology International 2024;41(1):17 View
  24. Banal M, Bongga D, Angbengco J, Amarra S, Panlasigui L. MyFitnessPal smartphone application: relative validity and intercoder reliability among dietitians in assessing energy and macronutrient intakes of selected Filipino adults with obesity. BMJ Nutrition, Prevention & Health 2024:e000770 View