The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Validity of the Remote Food Photography Method (RFPM) for Estimating Energy and Nutrient Intake in Near Real‐Time
Open accessAbstract
Two studies are reported; a pilot study to demonstrate feasibility followed by a larger validity study. Study 1's objective was to test the effect of two ecological momentary assessment (EMA) approaches that varied in intensity on the validity/accuracy of estimating energy intake (EI) with the Remote Food Photography Method (RFPM) over 6 days in free‐living conditions. When using the RFPM, Smartphones are used to capture images of food selection and plate waste and to send the images to a server for food intake estimation. Consistent with EMA, prompts are sent to the Smartphones reminding participants to capture food images. During Study 1, EI estimated with the RFPM and the gold standard, doubly labeled water (DLW), were compared. Participants were assigned to receive Standard EMA Prompts (n = 24) or Customized Prompts (n = 16) (the latter received more reminders delivered at personalized meal times). The RFPM differed significantly from DLW at estimating EI when Standard (mean ± s.d. = −895 ± 770 kcal/day, P < 0.0001), but not Customized Prompts (−270 ± 748 kcal/day, P = 0.22) were used. Error (EI from the RFPM minus that from DLW) was significantly smaller with Customized vs. Standard Prompts. The objectives of Study 2 included testing the RFPM's ability to accurately estimate EI in free‐living adults (N = 50) over 6 days, and energy and nutrient intake in laboratory‐based meals. The RFPM did not differ significantly from DLW at estimating free‐living EI (−152 ± 694 kcal/day, P = 0.16). During laboratory‐based meals, estimating energy and macronutrient intake with the RFPM did not differ significantly compared to directly weighed intake.
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Inaccuracies in self-reported intake identified by comparison with the doubly labelled water method
Schoeller, D. A., Bandini, L. G., & Dietz, W. H. (1990) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/y90-143 · Cited by 266
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Nutritional Risk Screening and Assessment
Reber, E., Gomes, F., Vasiloglou, M. F., Schuetz, P., & Stanga, Z. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8071065 · Cited by 485
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Greenway, F. L. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.59 · Cited by 431
Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions
Schoeller, D. A., Thomas, D., Archer, E., Heymsfield, S. B., Blair, S. N., Goran, M. I., Hill, J. O., Atkinson, R. L., Corkey, B. E., Foreyt, J., et al. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.062125 · Cited by 177
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Metadata
- Authors
- Martin, C. K., Correa, J. B., Han, H., Allen, H. R., Rood, J. C., Champagne, C. M., Gunturk, B. K., & Bray, G. A.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2012-04
- Volume
- 20
- Issue
- 4
- Pages
- 891-899
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2088145686
- Cited by
- 272
- References
- 4
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Martin, C. K., Correa, J. B., Han, H., Allen, H. R., Rood, J. C., Champagne, C. M., Gunturk, B. K., & Bray, G. A. (2012). Validity of the Remote Food Photography Method (RFPM) for Estimating Energy and Nutrient Intake in Near Real‐Time. Obesity. https://doi.org/10.1038/oby.2011.344
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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