We get it, you don’t want to take the time out of your day to make sure you aren’t eating like a pig - there’s no need to worry! A 5-10% power loss should be taken into account when correlating energy intake and macronutrients obtained with MyFP to an outcome variable, compared to Nubel.ĭietary analysis with MyFP is accurate and efficient for total energy intake, macronutrients, sugar and fibre but not for cholesterol and sodium.Yes! Both of these can be used alongside your favorite Samsung or Apple smartwatch, and it makes keeping track of everything even easier (I feel like I’ve said that numerous times already). No bias was found between both methods, except for a fixed bias for fibre and a proportional bias for cholesterol.

Cleaned MyFP values demonstrated strong correlations with Nubel for energy intake (r = 0.96), carbohydrates (r = 0.90), fat (r = 0.90), protein (r = 0.90), fibre (r = 0.80) and sugar (r = 0.79), but weak correlations for cholesterol (ρ = 0.51) and sodium (ρ = 0.53) all P ≤ 0.001. Finally, we simulated the impact of using MyFP for nutrient analysis instead of Nubel on the power of a study design that correlates nutrient intake to a chosen outcome variable.Ĭleaning the dataset extracted at T2 resulted in a 2.8% rejection. Bias was estimated using Bland-Altman plots. Original and cleaned T2 values were correlated with the Nubel calculated values. These limits were applied to the MyFP dataset extracted at T2 to remove extremely high and likely erroneous values. First, nutrient values from T1 were used as training set to develop an algorithm that defined upper limit values for energy intake, carbohydrates, fat, protein, fibre, sugar, cholesterol and sodium. Nutrient intake values were calculated either manually using the Food Composition Database Nubel or automatically using the database coupled to MyFP. In this study we validated the database of MyFitnessPal (MyFP) versus the Belgian Food Composition Database Nubel.Īfter careful instructions, 50 participants recorded twice (T1 and T2) a 4-day diary using MyFP. Reliability of such platforms depends on the quality of the associated food database. JMIR Rehabilitation and Assistive Technologiesĭigital food registration via online platforms that are coupled to large food databases obviates the need for manual processing of dietary data.

Interactive Journal of Medical Research.

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