Study Results
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Basic Information
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COMPLETED
75 participants
OBSERVATIONAL
2025-04-21
2025-09-22
Brief Summary
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To address this, participants will be served a controlled meal containing both simple foods (e.g., fruit snacks, saltine crackers, cookies, and a coke soft drink) and mixed dishes (e.g., chicken salad, macaroni and cheese with peas). Each food item will be precisely weighed before and after consumption. The following day, participants will complete an online 24-hour recall, and the process will be repeated one week later.
The study will compare reported intake to actual intake to assess accuracy and determine whether underreporting is more common for mixed dishes. It will also explore whether reporting accuracy is influenced by body weight, gender, or race. Findings from this research may improve the understanding of self-report limitations and support the development of more accurate dietary assessment tools.
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Detailed Description
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To address these gaps, this study uses a controlled feeding protocol in which participants consume a standardized lunch consisting of two mixed dishes (chicken salad and macaroni and cheese with peas) and single-item foods (e.g., fruit snacks, saltine crackers, cookies, and a coke soft drink). All foods are weighed precisely before and after consumption to the nearest 0.01g. The following day, participants complete an online 24-hour dietary recall using ASA-24. This process is repeated one week later to assess reproducibility of reporting patterns.
The primary outcome is the portion-size reporting difference between actual and reported intake for each food item. Secondary outcomes include whether mixed dishes are more inaccurately reported than discrete foods, and whether underreporting is consistent across both sessions. Additional analyses will evaluate whether underreporting varies by BMI category, gender, or race.
Participants (N=65) are adults aged 18-65 recruited from the Texas Tech University community using flyers, email announcements, and word of mouth. Inclusion criteria include availability to attend lunch visits and complete online recalls. Exclusion criteria include food allergies or aversions to the test meal.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Participants
Men and women, aged 18-65, any race/ethnicity with no food allergies or aversions to test foods.
No intervention (observational study)
There is no intervention, this is a observational study,
Interventions
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No intervention (observational study)
There is no intervention, this is a observational study,
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
65 Years
ALL
Yes
Sponsors
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Texas Tech University
OTHER
Responsible Party
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Shannon Galyean
Assistant Professor, Registered Dietitian Nutritionist
Locations
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Texas Tech University Nutrition and Metabolic Health Initiative
Lubbock, Texas, United States
Countries
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References
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Heymsfield SB, Darby PC, Muhlheim LS, Gallagher D, Wolper C, Allison DB. The calorie: myth, measurement, and reality. Am J Clin Nutr. 1995 Nov;62(5 Suppl):1034S-1041S. doi: 10.1093/ajcn/62.5.1034S.
Foster E, Lee C, Imamura F, Hollidge SE, Westgate KL, Venables MC, Poliakov I, Rowland MK, Osadchiy T, Bradley JC, Simpson EL, Adamson AJ, Olivier P, Wareham N, Forouhi NG, Brage S. Validity and reliability of an online self-report 24-h dietary recall method (Intake24): a doubly labelled water study and repeated-measures analysis. J Nutr Sci. 2019 Aug 30;8:e29. doi: 10.1017/jns.2019.20. eCollection 2019.
Schoeller DA, Thomas D, Archer E, Heymsfield SB, Blair SN, Goran MI, Hill JO, Atkinson RL, Corkey BE, Foreyt J, Dhurandhar NV, Kral JG, Hall KD, Hansen BC, Heitmann BL, Ravussin E, Allison DB. Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions. Am J Clin Nutr. 2013 Jun;97(6):1413-5. doi: 10.3945/ajcn.113.062125. No abstract available.
Lin WY, Dubuisson O, Rubicz R, Liu N, Allison DB, Curran JE, Comuzzie AG, Blangero J, Leach CT, Goring H, Dhurandhar NV. Response to Comment on: Lin et al. Long-term changes in adiposity and glycemic control are associated with past adenovirus infection. Diabetes Care 2013;36:701-707. Diabetes Care. 2013 Sep;36(9):e162. doi: 10.2337/dc13-0879. No abstract available.
Subar AF, Crafts J, Zimmerman TP, Wilson M, Mittl B, Islam NG, McNutt S, Potischman N, Buday R, Hull SG, Baranowski T, Guenther PM, Willis G, Tapia R, Thompson FE. Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. J Am Diet Assoc. 2010 Jan;110(1):55-64. doi: 10.1016/j.jada.2009.10.007.
Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014 Jul 15;180(2):172-88. doi: 10.1093/aje/kwu116. Epub 2014 Jun 10.
Ahluwalia N, Dwyer J, Terry A, Moshfegh A, Johnson C. Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy. Adv Nutr. 2016 Jan 15;7(1):121-34. doi: 10.3945/an.115.009258. Print 2016 Jan.
Other Identifiers
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IRB2025-157
Identifier Type: -
Identifier Source: org_study_id
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