Abstract
This study aimed to explore the validity of energy and macronutrient intake estimates provided by a popular nutrition tracking smartphone application. 37 obese Filipino adults and 3 nutritionist–dietitians participated in this study. Participants used MyFitnessPal to log their food intake for 5 days. They also completed paper-based food record forms at the same time. Dietitians then referred to each of the participants’ completed food record forms to log the participants’ food intakes and generated estimates of energy and nutrient intake using the same app. The researcher also referred to the participants’ completed food record forms and generated energy and nutrient intake data using the Food Composition Tables (FCT)—the Philippine reference standard for estimating calorie and nutrient intakes. T-tests showed no statistical difference in energy and macronutrient data generated between participants and dietitians using MyFitnessPal app but Bland-Altman plots showed very weak to moderate agreements. T-tests revealed statistically significant difference between using the MyFitnessPal app and FCT in estimating energy, protein and fat intakes and Bland-Altman plots showed very weak to moderate agreement between MyFitnessPal and FCT. MyFitnessPal was found to underestimate the values for energy, carbohydrates and fat and overestimate values for protein when compared with estimates using FCT. Analysis of variance showed good intercoder reliability among dietitians, with the exception of fat intake estimates. The Goldberg approach showed very low likelihood of misreporting energy intake among the participants in this study. In this study, MyFitnessPal showed poor validity among Filipinos with obesity but with good reliability when used by dietitians. It also showed poor validity relative to the FCT. Prior nutrition knowledge is a factor in ensuring the accuracy of energy and nutrient intake data generated using MyFitnessPal app. It is recommended that users consult with dietitians for guidance on how to use these apps in weight management interventions.
Reference27 articles.
1. Popular nutrition-related mobile Apps:an agreement assessment against a UK reference method;Fallaize;JMIR Mhealth Uhealth,2019
2. Harnack L, C , Pereira MA . Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications. Public Health Nutr 2018.
3. The relative validity of a food record using the Smartphone application Myfitnesspal;Teixeira;Nutr Diet,2018
4. A focused review of Smartphone diet-tracking Apps: usability, Functionality, coherence with behavior change theory, and comparative validity of nutrient intake and energy estimates;Ferrara;JMIR Mhealth Uhealth,2019
5. Bardus M , van Beurden SB , Smith JR , et al . A review and content analysis of engagement, Functionality, aesthetics, information quality, and change techniques in the most popular commercial Apps for weight management. Int J Behav Nutr Phys Act 2016. doi:10.1186/s12966-016-0359-9
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