Nutrient Profile of Beef My Fitness Pal

. 2020 Oct 21;22(x):e18237.

doi: ten.2196/18237.

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

Affiliations

• PMID: 33084583
• PMCID: PMC7641788
• DOI: 10.2196/18237

Complimentary PMC article

Accurateness of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Report

Charlotte Evenepoel  et al. J Med Internet Res. 2020 .

Gratis PMC commodity

Abstract

Groundwork: Digital nutrient registration via online platforms that are coupled to large nutrient databases obviates the need for manual processing of dietary data. The reliability of such platforms depends on the quality of the associated nutrient database.

Objective: In this study, we validate the database of MyFitnessPal versus the Belgian food composition database, Nubel.

Methods: After carefully given instructions, fifty participants used MyFitnessPal to each complete a 4-day dietary record 2 times (T1 and T2), with 1 calendar month in betwixt T1 and T2. Nutrient intake values were calculated either manually, using the food composition database Nubel, or automatically, using the database coupled to MyFitnessPal. First, food values from T1 were used as a grooming set to develop an algorithm that defined upper limit values for energy intake, carbohydrates, fat, poly peptide, cobweb, saccharide, cholesterol, and sodium. These limits were applied to the MyFitnessPal dataset extracted at T2 to remove extremely high and probable erroneous values. Original and cleaned T2 values were correlated with the Nubel calculated values. Bias was estimated using Bland-Altman plots. Finally, we imitation the impact of using MyFitnessPal for nutrient analysis instead of Nubel on the power of a study design that correlates nutrient intake to a chosen outcome variable.

Results: Per food portion, the following upper limits were defined: 1500 kilocalories for total energy intake, 95 grams (g) for carbohydrates, 92 g for fatty, 52 m for poly peptide, 22 g for fiber, seventy k for sugar, 600 mg for cholesterol, and 3600 mg for sodium. Cleaning the dataset extracted at T2 resulted in a 2.8% rejection. Cleaned MyFitnessPal values demonstrated strong correlations with Nubel for free energy intake (r=0.96), carbohydrates (r=0.90), fat (r=0.ninety), protein (r=0.xc), fiber (r=0.80), and sugar (r=0.79), but weak correlations for cholesterol (ρ=0.51) and sodium (ρ=0.53); all P values were ≤.001. No bias was constitute between both methods, except for a fixed bias for fiber and a proportional bias for cholesterol. A 5-10% power loss should be taken into account when correlating energy intake and macronutrients obtained with MyFitnessPal to an result variable, compared to Nubel.

Conclusions: Dietary assay with MyFitnessPal is accurate and efficient for total energy intake, macronutrients, saccharide, and cobweb, just non for cholesterol and sodium.

Keywords: MyFitnessPal; Nubel; diet; dietary assessment; nutrition; online application.

©Charlotte Evenepoel, Egbert Clevers, Lise Deroover, Wendy Van Loo, Christophe Matthys, Kristin Verbeke. Originally published in the Journal of Medical Internet Research (http://world wide web.jmir.org), 21.x.2020.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1

Bland-Altman plots for energy intake and nutrient values of the cleaned T2 dataset, with Nubel as the reference method and MyFitnessPal equally the other method for nutrient intake analysis. The divergence between the 2 methods is calculated as follows: MyFitnessPal – Nubel. The 95% upper limit (UL) and lower limit (LL) of agreement (SD ane.96) are depicted as long dashed lines. The total line and short-dashed line betoken the mean difference and zero, respectively.

Figure 2

Correlation analysis between the statistical power of Nubel and MyFitnessPal (MFP) to reject the nil hypothesis that states there is no correlation between each of these methods and a imitation variable outcome. The total sample size is 100 power values. This correlation between the power of Nubel and MyFitnessPal was performed for all studied nutrients (macronutrients, sugar, cobweb, cholesterol, and sodium) and for free energy intake.

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Source: https://pubmed.ncbi.nlm.nih.gov/33084583/

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