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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/202723
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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 Técnicas2025-09-29T10:28:19Zoai: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:34982025-09-29 10:28:19.684CONICET 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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.070432 |