Energy intake estimation from counts of chews and swallows

Autores
Fontana, Juan Manuel; Higgins, Janine A.; Schuckers, Stephanie C.; Bellisle, France; Pan, Zhaoxing; Melanson, Edward L.; Neuman, Michael R.; Sazonov, Edward
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Current, validated methods for dietary assessment rely on self-report, which tends to be inaccurate, time-consuming, 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.
Fil: Fontana, Juan Manuel. University of Alabama; Estados Unidos. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Higgins, Janine A.. University of Colorado Anschutz Medical Center; Estados Unidos
Fil: Schuckers, Stephanie C.. Clarkson University; Estados Unidos
Fil: Bellisle, France. Universite de Paris 13-Nord; Francia
Fil: Pan, Zhaoxing. University of Colorado Anschutz Medical Campus; Estados Unidos
Fil: Melanson, Edward L.. University of Colorado Anschutz Medical Campus; Estados Unidos
Fil: Neuman, Michael R.. Michigan Technological University; Estados Unidos
Fil: Sazonov, Edward. University of Alabama; Estados Unidos
Materia
Chewing
Dietary Assessment
Energy Intake Models
Self-Report
Swallowing
Wearable Sensors
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/38542

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network_name_str CONICET Digital (CONICET)
spelling Energy intake estimation from counts of chews and swallowsFontana, Juan ManuelHiggins, Janine A.Schuckers, Stephanie C.Bellisle, FrancePan, ZhaoxingMelanson, Edward L.Neuman, Michael R.Sazonov, EdwardChewingDietary AssessmentEnergy Intake ModelsSelf-ReportSwallowingWearable Sensorshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Current, validated methods for dietary assessment rely on self-report, which tends to be inaccurate, time-consuming, 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.Fil: Fontana, Juan Manuel. University of Alabama; Estados Unidos. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Higgins, Janine A.. University of Colorado Anschutz Medical Center; Estados UnidosFil: Schuckers, Stephanie C.. Clarkson University; Estados UnidosFil: Bellisle, France. Universite de Paris 13-Nord; FranciaFil: Pan, Zhaoxing. University of Colorado Anschutz Medical Campus; Estados UnidosFil: Melanson, Edward L.. University of Colorado Anschutz Medical Campus; Estados UnidosFil: Neuman, Michael R.. Michigan Technological University; Estados UnidosFil: Sazonov, Edward. University of Alabama; Estados UnidosAcademic Press Ltd - Elsevier Science Ltd2015-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/38542Fontana, Juan Manuel; Higgins, Janine A.; Schuckers, Stephanie C.; Bellisle, France; Pan, Zhaoxing; et al.; Energy intake estimation from counts of chews and swallows; Academic Press Ltd - Elsevier Science Ltd; Appetite; 85; 2-2015; 14-210195-6663CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.appet.2014.11.003info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0195666314005169info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:17:17Zoai:ri.conicet.gov.ar:11336/38542instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:17:18.331CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Energy intake estimation from counts of chews and swallows
title Energy intake estimation from counts of chews and swallows
spellingShingle Energy intake estimation from counts of chews and swallows
Fontana, Juan Manuel
Chewing
Dietary Assessment
Energy Intake Models
Self-Report
Swallowing
Wearable Sensors
title_short Energy intake estimation from counts of chews and swallows
title_full Energy intake estimation from counts of chews and swallows
title_fullStr Energy intake estimation from counts of chews and swallows
title_full_unstemmed Energy intake estimation from counts of chews and swallows
title_sort Energy intake estimation from counts of chews and swallows
dc.creator.none.fl_str_mv Fontana, Juan Manuel
Higgins, Janine A.
Schuckers, Stephanie C.
Bellisle, France
Pan, Zhaoxing
Melanson, Edward L.
Neuman, Michael R.
Sazonov, Edward
author Fontana, Juan Manuel
author_facet Fontana, Juan Manuel
Higgins, Janine A.
Schuckers, Stephanie C.
Bellisle, France
Pan, Zhaoxing
Melanson, Edward L.
Neuman, Michael R.
Sazonov, Edward
author_role author
author2 Higgins, Janine A.
Schuckers, Stephanie C.
Bellisle, France
Pan, Zhaoxing
Melanson, Edward L.
Neuman, Michael R.
Sazonov, Edward
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Chewing
Dietary Assessment
Energy Intake Models
Self-Report
Swallowing
Wearable Sensors
topic Chewing
Dietary Assessment
Energy Intake Models
Self-Report
Swallowing
Wearable Sensors
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Current, validated methods for dietary assessment rely on self-report, which tends to be inaccurate, time-consuming, 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.
Fil: Fontana, Juan Manuel. University of Alabama; Estados Unidos. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Higgins, Janine A.. University of Colorado Anschutz Medical Center; Estados Unidos
Fil: Schuckers, Stephanie C.. Clarkson University; Estados Unidos
Fil: Bellisle, France. Universite de Paris 13-Nord; Francia
Fil: Pan, Zhaoxing. University of Colorado Anschutz Medical Campus; Estados Unidos
Fil: Melanson, Edward L.. University of Colorado Anschutz Medical Campus; Estados Unidos
Fil: Neuman, Michael R.. Michigan Technological University; Estados Unidos
Fil: Sazonov, Edward. University of Alabama; Estados Unidos
description Current, validated methods for dietary assessment rely on self-report, which tends to be inaccurate, time-consuming, 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/38542
Fontana, Juan Manuel; Higgins, Janine A.; Schuckers, Stephanie C.; Bellisle, France; Pan, Zhaoxing; et al.; Energy intake estimation from counts of chews and swallows; Academic Press Ltd - Elsevier Science Ltd; Appetite; 85; 2-2015; 14-21
0195-6663
CONICET Digital
CONICET
url http://hdl.handle.net/11336/38542
identifier_str_mv Fontana, Juan Manuel; Higgins, Janine A.; Schuckers, Stephanie C.; Bellisle, France; Pan, Zhaoxing; et al.; Energy intake estimation from counts of chews and swallows; Academic Press Ltd - Elsevier Science Ltd; Appetite; 85; 2-2015; 14-21
0195-6663
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.appet.2014.11.003
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0195666314005169
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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