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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/38542
Ver los metadatos del registro completo
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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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1844614125407174656 |
score |
13.070432 |