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The objective is to examine the preliminary validity, reliability and perceived participant satisfaction of the PortionSize app.
Overweight and obesity are a burgeoning public health concern, yet only a small minority of smartphone apps that claim to facilitate healthy eating and weight loss incorporate evidence-based principles. Such innovations are important as humans fundamentally cannot accurately estimate portion size. Indeed, portion size estimation errors account for ~50% of the error in self-reported food intake, and data from our laboratory has demonstrated that extensive training results in only modest improvements in portion size estimation accuracy and that portion size estimates remain inaccurate. Our long-term goal is to create simple and accessible interventions that assist individuals with weight control. In particular, we aim to provide easy-to-use phone apps that allow participants to monitor the portion sizes of the foods they consume. These apps guide participants on appropriate portion sizes and provide recommendations of food groups that should be consumed. To that end, we have developed the PortionSize app. We propose to improve the accuracy of portion size measurement, as it is poorly determined by self-report measures. This will occur via the development of the PortionSize smartphone app and this pilot study will test the usability as well as preliminary validity and reliability of the app functionality.
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| Measure | Description | Time Frame |
|---|---|---|
| Validity of Portion Size at Estimating Energy Intake in Laboratory Conditions | Compared measurements from PortionSize to weighed values in the laboratory, which is the criterion measure. | 1 simulated meal collected on one day |
| Validity of Portion Size at Estimating Energy Intake in Free-living Conditions | Quantify the validity of the app measurements in free-living conditions compared to digital photography (the criterion measure). | Mean kcal intake over 3 days |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy participants ages 18 to 65 in the Baton Rouge, LA area.
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| Name | Affiliation | Role |
|---|---|---|
| John Apolzan, PhD | Pennington Biomedical Research Center | Principal Investigator |
| James Dorling, PhD | Pennington Biomedical Research Center | Principal Investigator |
| Corby Martin, 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 |
|---|---|---|---|
| 38888538 | Derived | Diktas HE, Lozano CP, Saha S, Broyles ST, Martin CK, Apolzan JW. Evaluating the Validity of the PortionSize Smartphone Application for Estimating Dietary Intake in Free-Living Conditions: A Pilot Study. J Nutr Educ Behav. 2024 Sep;56(9):643-652. doi: 10.1016/j.jneb.2024.05.226. Epub 2024 Jun 18. |
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| ID | Title | Description |
|---|---|---|
| FG000 | Study Cohort | The validity, reliability, and satisfaction of the PortionSize app under controlled and free-living conditions were quantified. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Study Cohort | The validity, reliability, and satisfaction of the PortionSize app under controlled and free-living conditions were quantified. |
| 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, Categorical | Count of Participants |
| 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 | Validity of Portion Size at Estimating Energy Intake in Laboratory Conditions | Compared measurements from PortionSize to weighed values in the laboratory, which is the criterion measure. | Posted | Mean | Standard Deviation | kcal | 1 simulated meal collected on one day |
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3 months (during the study period)
This study involved no greater than minimal risk.
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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 | Study Cohort | The validity, reliability, and satisfaction of the PortionSize app under controlled and free-living conditions were quantified. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Hanim Ecem Diktas | Pennington Biomedical Research Center | (225) 763-2832 | hanim.diktas@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, 2020 | May 10, 2024 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Aug 24, 2020 | May 4, 2024 | ICF_001.pdf |
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| ID | Term |
|---|---|
| D005247 | Feeding Behavior |
| ID | Term |
|---|---|
| D001522 | Behavior, Animal |
| D001519 | Behavior |
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| Participants |
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| Age, Continuous | Mean | Standard Deviation | 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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| Primary | Validity of Portion Size at Estimating Energy Intake in Free-living Conditions | Quantify the validity of the app measurements in free-living conditions compared to digital photography (the criterion measure). | Posted | Mean | Standard Deviation | kcal | Mean kcal intake over 3 days |
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| 15 |
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| 15 |
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| 15 |
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