Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina

Autores
Miranda, Agustín Ramiro; Scotta, Ana Veronica; Cortez, Mariela Valentina; González García, Nerea; Galindo Villardón, María Purificación; Soria, Elio Andres
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
HJ-Biplot analysis is a multivariate graphic representation that collects data covariation structure between variables and individuals to represent them in a low-dimensional space with the highest quality in the same reference system. Consequently, it is a promising technique for evaluating dietary exposure to polyphenols and accurately characterizing female nutrition. Herein, we hypothesized that polyphenol intake defines specific clusters with dietary impacts, which can be assessed using HJ-Biplot, based on a cross-sectional study in Argentina. The study included 275 healthy postpartum women who provided information about their food frequency intake and other conditions, which were then used to evaluate polyphenolic intake using the Phenol-Explorer database. Outcomes were established using HJ-Biplot for clustering and ANOVA to compare their impact on diet quality indicators. Two HJ-Biplot models were run (for intakes >20 mg/d and 5∼20 mg/d, respectively) to identify three clusters per model with excellent statistical fitness to explain the data. Thus, specific polyphenolic clusters with potentially bioactive and safe compounds were defined despite significant interindividual variability. In fact, women with the lowest polyphenolic intake exhibited worse dietary quality, body fat, and physical activity. As a result, HJ-Biplot proved to be an effective technique for clustering women based on their dietary intake of these compounds. Furthermore, cluster membership improved the intake of antioxidants, water, fiber, and healthy fats. Additionally, women with formal jobs and a higher educational level showed a better diet. Dietary polyphenols are critical during postpartum because they exert beneficial effects on women and breastfed infants.
Fil: Miranda, Agustín Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Scotta, Ana Veronica. Universidad Nacional de Córdoba; Argentina
Fil: Cortez, Mariela Valentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: González García, Nerea. Universidad de Salamanca; España
Fil: Galindo Villardón, María Purificación. Universidad de Salamanca; España
Fil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Materia
BIOSTATISTICS
HJ-BIPLOT
NUTRITION ASSESSMENT
POLYPHENOLS
POSTNATAL CARE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/202723
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/202723
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from ArgentinaMiranda, Agustín RamiroScotta, Ana VeronicaCortez, Mariela ValentinaGonzález García, NereaGalindo Villardón, María PurificaciónSoria, Elio AndresBIOSTATISTICSHJ-BIPLOTNUTRITION ASSESSMENTPOLYPHENOLSPOSTNATAL CAREhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3HJ-Biplot analysis is a multivariate graphic representation that collects data covariation structure between variables and individuals to represent them in a low-dimensional space with the highest quality in the same reference system. Consequently, it is a promising technique for evaluating dietary exposure to polyphenols and accurately characterizing female nutrition. Herein, we hypothesized that polyphenol intake defines specific clusters with dietary impacts, which can be assessed using HJ-Biplot, based on a cross-sectional study in Argentina. The study included 275 healthy postpartum women who provided information about their food frequency intake and other conditions, which were then used to evaluate polyphenolic intake using the Phenol-Explorer database. Outcomes were established using HJ-Biplot for clustering and ANOVA to compare their impact on diet quality indicators. Two HJ-Biplot models were run (for intakes >20 mg/d and 5∼20 mg/d, respectively) to identify three clusters per model with excellent statistical fitness to explain the data. Thus, specific polyphenolic clusters with potentially bioactive and safe compounds were defined despite significant interindividual variability. In fact, women with the lowest polyphenolic intake exhibited worse dietary quality, body fat, and physical activity. As a result, HJ-Biplot proved to be an effective technique for clustering women based on their dietary intake of these compounds. Furthermore, cluster membership improved the intake of antioxidants, water, fiber, and healthy fats. Additionally, women with formal jobs and a higher educational level showed a better diet. Dietary polyphenols are critical during postpartum because they exert beneficial effects on women and breastfed infants.Fil: Miranda, Agustín Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Scotta, Ana Veronica. Universidad Nacional de Córdoba; ArgentinaFil: Cortez, Mariela Valentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: González García, Nerea. Universidad de Salamanca; EspañaFil: Galindo Villardón, María Purificación. Universidad de Salamanca; EspañaFil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaKorean Society of Food Science and Nutrition2022-01-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202723Miranda, Agustín Ramiro; Scotta, Ana Veronica; Cortez, Mariela Valentina; González García, Nerea; Galindo Villardón, María Purificación; et al.; Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina; Korean Society of Food Science and Nutrition; Preventive Nutrition and Food Science; 27; 1; 25-1-2022; 20-362287-86022287-1098CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3746/pnf.2022.27.1.20info:eu-repo/semantics/altIdentifier/url/https://www.pnfs.or.kr/journal/view.html?doi=10.3746/pnf.2022.27.1.20info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:00:43Zoai:ri.conicet.gov.ar:11336/202723instacron: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:34982025-10-22 12:00:43.754CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
title Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
spellingShingle Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
Miranda, Agustín Ramiro
BIOSTATISTICS
HJ-BIPLOT
NUTRITION ASSESSMENT
POLYPHENOLS
POSTNATAL CARE
title_short Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
title_full Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
title_fullStr Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
title_full_unstemmed Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
title_sort Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina
dc.creator.none.fl_str_mv Miranda, Agustín Ramiro
Scotta, Ana Veronica
Cortez, Mariela Valentina
González García, Nerea
Galindo Villardón, María Purificación
Soria, Elio Andres
author Miranda, Agustín Ramiro
author_facet Miranda, Agustín Ramiro
Scotta, Ana Veronica
Cortez, Mariela Valentina
González García, Nerea
Galindo Villardón, María Purificación
Soria, Elio Andres
author_role author
author2 Scotta, Ana Veronica
Cortez, Mariela Valentina
González García, Nerea
Galindo Villardón, María Purificación
Soria, Elio Andres
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv BIOSTATISTICS
HJ-BIPLOT
NUTRITION ASSESSMENT
POLYPHENOLS
POSTNATAL CARE
topic BIOSTATISTICS
HJ-BIPLOT
NUTRITION ASSESSMENT
POLYPHENOLS
POSTNATAL CARE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv HJ-Biplot analysis is a multivariate graphic representation that collects data covariation structure between variables and individuals to represent them in a low-dimensional space with the highest quality in the same reference system. Consequently, it is a promising technique for evaluating dietary exposure to polyphenols and accurately characterizing female nutrition. Herein, we hypothesized that polyphenol intake defines specific clusters with dietary impacts, which can be assessed using HJ-Biplot, based on a cross-sectional study in Argentina. The study included 275 healthy postpartum women who provided information about their food frequency intake and other conditions, which were then used to evaluate polyphenolic intake using the Phenol-Explorer database. Outcomes were established using HJ-Biplot for clustering and ANOVA to compare their impact on diet quality indicators. Two HJ-Biplot models were run (for intakes >20 mg/d and 5∼20 mg/d, respectively) to identify three clusters per model with excellent statistical fitness to explain the data. Thus, specific polyphenolic clusters with potentially bioactive and safe compounds were defined despite significant interindividual variability. In fact, women with the lowest polyphenolic intake exhibited worse dietary quality, body fat, and physical activity. As a result, HJ-Biplot proved to be an effective technique for clustering women based on their dietary intake of these compounds. Furthermore, cluster membership improved the intake of antioxidants, water, fiber, and healthy fats. Additionally, women with formal jobs and a higher educational level showed a better diet. Dietary polyphenols are critical during postpartum because they exert beneficial effects on women and breastfed infants.
Fil: Miranda, Agustín Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Scotta, Ana Veronica. Universidad Nacional de Córdoba; Argentina
Fil: Cortez, Mariela Valentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: González García, Nerea. Universidad de Salamanca; España
Fil: Galindo Villardón, María Purificación. Universidad de Salamanca; España
Fil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
description HJ-Biplot analysis is a multivariate graphic representation that collects data covariation structure between variables and individuals to represent them in a low-dimensional space with the highest quality in the same reference system. Consequently, it is a promising technique for evaluating dietary exposure to polyphenols and accurately characterizing female nutrition. Herein, we hypothesized that polyphenol intake defines specific clusters with dietary impacts, which can be assessed using HJ-Biplot, based on a cross-sectional study in Argentina. The study included 275 healthy postpartum women who provided information about their food frequency intake and other conditions, which were then used to evaluate polyphenolic intake using the Phenol-Explorer database. Outcomes were established using HJ-Biplot for clustering and ANOVA to compare their impact on diet quality indicators. Two HJ-Biplot models were run (for intakes >20 mg/d and 5∼20 mg/d, respectively) to identify three clusters per model with excellent statistical fitness to explain the data. Thus, specific polyphenolic clusters with potentially bioactive and safe compounds were defined despite significant interindividual variability. In fact, women with the lowest polyphenolic intake exhibited worse dietary quality, body fat, and physical activity. As a result, HJ-Biplot proved to be an effective technique for clustering women based on their dietary intake of these compounds. Furthermore, cluster membership improved the intake of antioxidants, water, fiber, and healthy fats. Additionally, women with formal jobs and a higher educational level showed a better diet. Dietary polyphenols are critical during postpartum because they exert beneficial effects on women and breastfed infants.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-25
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/11336/202723
Miranda, Agustín Ramiro; Scotta, Ana Veronica; Cortez, Mariela Valentina; González García, Nerea; Galindo Villardón, María Purificación; et al.; Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina; Korean Society of Food Science and Nutrition; Preventive Nutrition and Food Science; 27; 1; 25-1-2022; 20-36
2287-8602
2287-1098
CONICET Digital
CONICET
url http://hdl.handle.net/11336/202723
identifier_str_mv Miranda, Agustín Ramiro; Scotta, Ana Veronica; Cortez, Mariela Valentina; González García, Nerea; Galindo Villardón, María Purificación; et al.; Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina; Korean Society of Food Science and Nutrition; Preventive Nutrition and Food Science; 27; 1; 25-1-2022; 20-36
2287-8602
2287-1098
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3746/pnf.2022.27.1.20
info:eu-repo/semantics/altIdentifier/url/https://www.pnfs.or.kr/journal/view.html?doi=10.3746/pnf.2022.27.1.20
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Korean Society of Food Science and Nutrition
publisher.none.fl_str_mv Korean Society of Food Science and Nutrition
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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score 12.982451

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