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The objective is to test the accuracy of the PortionSize™ app and the MyFitnessPal© app at measuring energy and nutrient intake in free-living conditions. Participants will use PortionSize™ and MyFitnessPal apps in separate periods to test the accuracy of the respective apps.
Accurately quantifying food intake is vital to promoting health and reducing chronic disease risk. Food intake encompasses energy intake, nutrient intake (macronutrients, micronutrients, vitamins, minerals), and intake of various food groups (e.g., fruits, vegetables), and thus reflects the nutritional status of individuals. Nutrition affects disease risk, including risk of developing obesity, diabetes, and cancer, all of which negatively affect the United States (U.S). Nonetheless, accurate assessment of food and nutrient intake has remained challenging, despite an improvement in methods. Self report methods, namely food records, are a mainstay of nutritional epidemiology research, with food recall being another popular method. These methods rely on the participant to accurately estimate portion size and, for food recall, remember what was consumed. The accuracy of these methods have been questioned and the problems with human recall have been comprehensively outlined. As a result, there remains a significant need for methods that are sufficiently accurate to provide researchers with good outcome data and to guide health promotion efforts.
The PortionSize™ app was designed by our laboratory to overcome the limitations outlined above, and to guide users to follow specific diets. PortionSize™ relies on users capturing images of their food selection and waste. Food intake data are immediately provided since the user relies on built in tools, including templates, to estimate portion size. However, despite promising early indications, the PortionSize™ app has yet to be fully validated. Determining the accuracy and reliability of PortionSize™ is vital before the app can be used by people to obtain immediate feedback about their food intake. We accordingly aim to test the reliability and validity of PortionSize™ in a semi-controlled free-living environment using food provision, where participants consume pre-weighed food from a cooler and return the plate waste in the cooler. We will also test the reliability and validity of the MyFitnessPal app in the same semi-controlled free-living environment. The accuracy of the apps will also be compared to each other.
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| Measure | Description | Time Frame |
|---|---|---|
| Energy (Kilocalorie or kcal) Intake | The primary analyses assessing equivalence between PortionSize™ and the criterion measure (and MyFitnessPal and the criterion measures) will rely on equivalence testing using the Two One-side T-test (TOST) method. The null hypothesis of an equivalence tests is that the means are nonequivalent, i.e., the confidence interval of the mean of the test condition exceeds the pre-specified error bound. The alternative hypothesis is that the means are equivalent, and the mean difference between the experimental method and gold standard is hypothesized to be zero. Differences in error from PortionSize™ compared to error from MyFitnessPal will be assessed using dependent samples t-tests, with error calculated as the difference between each experimental method and the criterion variable (e.g., energy intake values from PortionSize™ minus energy intake values from weighed foods). These procedures will also produce results indicating if the error from each method differs from zero. | Mean daily energy intake averaged across 3 day free-living period of each PortionSize app and MyFitnessPal app intervention. |
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Inclusion Criteria:
Male or female, age 18-62 years
Exclusion Criteria:
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Healthy participants ages 18 to 62 in the Baton Rouge, LA area
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| Name | Affiliation | Role |
|---|---|---|
| Corby K Martin, PhD | Pennington Biomedical Research Center | Principal Investigator |
| John W Apolzan, PhD | Pennington Biomedical Research Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Pennington Biomedical Research Center | Baton Rouge | Louisiana | 70808 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41022156 | Derived | Diktas HE, Lozano CP, Saha S, Broyles ST, Martin CK, Apolzan JW. Validity of the PortionSize and MyFitnessPal Smartphone Applications for Estimating Dietary Intake: A Randomized Crossover Clinical Trial. J Nutr. 2025 Dec;155(12):4296-4306. doi: 10.1016/j.tjnut.2025.09.027. Epub 2025 Sep 27. |
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| ID | Title | Description |
|---|---|---|
| FG000 | PortionSize Followed by MyFitnessPal | This was a within-subjects, randomized, counterbalanced crossover design. Each participant completed two testing periods: Period 1 and Period 2. Participants were randomly assigned to one of two sequences: (1) PortionSize followed by MyFitnessPal, or (2) MyFitnessPal followed by PortionSize. PortionSize followed by MyFitnessPal group used the PortionSize app to estimate dietary intake during the first study period and switched to MyFitnessPal for the second period. |
| FG001 | MyFitnessPal Followed by PortionSize | This was a within-subjects, randomized, counterbalanced crossover design. Each participant completed two testing periods: Period 1 and Period 2. Participants were randomly assigned to one of two sequences: (1) PortionSize followed by MyFitnessPal, or (2) MyFitnessPal followed by PortionSize. MyFitnessPal followed by PortionSize group used the MyFitnessPal app to estimate dietary intake during the first study period and switched to PortionSize for the second period. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | All Participants | All 44 participants that completed the study |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Energy (Kilocalorie or kcal) Intake | The primary analyses assessing equivalence between PortionSize™ and the criterion measure (and MyFitnessPal and the criterion measures) will rely on equivalence testing using the Two One-side T-test (TOST) method. The null hypothesis of an equivalence tests is that the means are nonequivalent, i.e., the confidence interval of the mean of the test condition exceeds the pre-specified error bound. The alternative hypothesis is that the means are equivalent, and the mean difference between the experimental method and gold standard is hypothesized to be zero. Differences in error from PortionSize™ compared to error from MyFitnessPal will be assessed using dependent samples t-tests, with error calculated as the difference between each experimental method and the criterion variable (e.g., energy intake values from PortionSize™ minus energy intake values from weighed foods). These procedures will also produce results indicating if the error from each method differs from zero. | All participants completed two study periods using both the PortionSize and MyFitnessPal apps. Outcome measures are summarized by intervention (PortionSize vs. MyFitnessPal), pooling data across all participants regardless of the order in which apps were used. | Posted | Mean | Standard Deviation | kcal/day | Mean daily energy intake averaged across 3 day free-living period of each PortionSize app and MyFitnessPal app intervention. |
3 days in free-living conditions per intervention
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | PortionSize | Participants completed three days using the PortionSize app during one of the two study periods. Adverse events are reported for all participants during this intervention period, regardless of sequence. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Corby Martin | Pennington Biomedical Research Center | +1 (225) 763-2585 | corby.martin@pbrc.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Aug 24, 2022 | Nov 13, 2025 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D005247 | Feeding Behavior |
| ID | Term |
|---|---|
| D001522 | Behavior, Animal |
| D001519 | Behavior |
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| years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| BMI | Mean | Standard Deviation | kilograms per square meter (kg/m²) |
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| 0 |
| 44 |
| 0 |
| 44 |
| 0 |
| 44 |
| EG001 | MyFitnessPal | Participants completed three days using the MyFitnessPal app during one of the two study periods. Adverse events are reported for all participants during this intervention period, regardless of sequence. | 0 | 44 | 0 | 44 | 0 | 44 |
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