Energy intake estimation from counts of chews and swallows

dc.contributor.authorFontana, Juan M.
dc.contributor.authorHiggins, Janine A.
dc.contributor.authorSchuckers, Stephanie C.
dc.contributor.authorBellisle, France
dc.contributor.authorPan, Zhaoxing
dc.contributor.authorMelanson, Edward L.
dc.contributor.authorNeuman, Michael R.
dc.contributor.authorSazonov, Edward
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherUniversity of Colorado Anschutz Medical Campus
dc.contributor.otherClarkson University
dc.contributor.otherINRAE
dc.contributor.otherInstitut National de la Sante et de la Recherche Medicale (Inserm)
dc.contributor.otherUniversite Paris 13
dc.contributor.otherheSam Universite
dc.contributor.otherConservatoire National Arts & Metiers (CNAM)
dc.contributor.otherChildren's Hospital Colorado
dc.contributor.otherMichigan Technological University
dc.date.accessioned2023-09-28T20:40:12Z
dc.date.available2023-09-28T20:40:12Z
dc.date.issued2015
dc.description.abstractCurrent, validated methods for dietary assessment rely on self-report, which tends to be inaccurate, timeconsuming, and burdensome. The objective of this work was to demonstrate the suitability of estimating energy intake using individually-calibrated models based on Counts of Chews and Swallows (CCS models). In a laboratory setting, subjects consumed three identical meals (training meals) and a fourth meal with different content (validation meal). Energy intake was estimated by four different methods: weighed food records (gold standard), diet diaries, photographic food records, and CCS models. Counts of chews and swallows were measured using wearable sensors and video analysis. Results for the training meals demonstrated that CCS models presented the lowest reporting bias and a lower error as compared to diet diaries. For the validation meal, CCS models showed reporting errors that were not different from the diary or the photographic method. The increase in error for the validation meal may be attributed to differences in the physical properties of foods consumed during training and validation meals. However, this may be potentially compensated for by including correction factors into the models. This study suggests that estimation of energy intake from CCS may offer a promising alternative to overcome limitations of self-report. (C) 2014 Elsevier Ltd. All rights reserved.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationFontana, J. M., Higgins, J. A., Schuckers, S. C., Bellisle, F., Pan, Z., Melanson, E. L., Neuman, M. R., & Sazonov, E. (2015). Energy intake estimation from counts of chews and swallows. In Appetite (Vol. 85, pp. 14–21). Elsevier BV. https://doi.org/10.1016/j.appet.2014.11.003
dc.identifier.doi10.1016/j.appet.2014.11.003
dc.identifier.orcidhttps://orcid.org/0000-0002-9365-9642
dc.identifier.orcidhttps://orcid.org/0000-0002-6952-6890
dc.identifier.orcidhttps://orcid.org/0000-0002-8934-1359
dc.identifier.orcidhttps://orcid.org/0000-0001-7792-4234
dc.identifier.orcidhttps://orcid.org/0000-0002-4273-194X
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11754
dc.languageEnglish
dc.language.isoen_US
dc.publisherElsevier
dc.subjectDietary assessment
dc.subjectEnergy intake models
dc.subjectSelf-report
dc.subjectWearable sensors
dc.subjectChewing
dc.subjectSwallowing
dc.subjectPERSONAL DIGITAL ASSISTANT
dc.subjectFOOD-INTAKE
dc.subjectINGESTIVE BEHAVIOR
dc.subjectDIETARY ASSESSMENT
dc.subjectCHILDREN
dc.subjectACCURACY
dc.subjectMONITOR
dc.subjectBehavioral Sciences
dc.subjectNutrition & Dietetics
dc.titleEnergy intake estimation from counts of chews and swallowsen_US
dc.typeArticle
dc.typetext
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
10.1016j.appet.2014.11.003.pdf
Size:
1.09 MB
Format:
Adobe Portable Document Format