دورية أكاديمية
Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina.
| العنوان: | Association of Dietary Intake of Polyphenols with an Adequate Nutritional Profile in Postpartum Women from Argentina. |
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| المؤلفون: | Miranda AR; Faculty of Medical Sciences, National University of Córdoba, Córdoba 506, Argentina.; National Scientific and Technical Research Council, Córdoba 5014, Argentina., Scotta AV; Faculty of Medical Sciences, National University of Córdoba, Córdoba 506, Argentina.; National Scientific and Technical Research Council, Córdoba 5014, Argentina., Cortez MV; Faculty of Medical Sciences, National University of Córdoba, Córdoba 506, Argentina.; National Scientific and Technical Research Council, Córdoba 5014, Argentina., González-García N; Department of Statistics, University of Salamanca, Salamanca 7007, Spain.; Institute for Biomedical Research of Salamanca, University Hospital of Salamanca, Salamanca 37007, Spain., Galindo-Villardón MP; Department of Statistics, University of Salamanca, Salamanca 7007, Spain.; Institute for Biomedical Research of Salamanca, University Hospital of Salamanca, Salamanca 37007, Spain., Soria EA; Faculty of Medical Sciences, National University of Córdoba, Córdoba 506, Argentina.; National Scientific and Technical Research Council, Córdoba 5014, Argentina. |
| المصدر: | Preventive nutrition and food science [Prev Nutr Food Sci] 2022 Mar 31; Vol. 27 (1), pp. 20-36. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Korean Society of Food Science and Nutrition Country of Publication: Korea (South) NLM ID: 101586663 Publication Model: Print Cited Medium: Print ISSN: 2287-1098 (Print) Linking ISSN: 22871098 NLM ISO Abbreviation: Prev Nutr Food Sci Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Pusan, Korea : Korean Society of Food Science and Nutrition |
| مستخلص: | 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. Competing Interests: AUTHOR DISCLOSURE STATEMENT The authors declare no conflict of interest. (Copyright © 2022 by The Korean Society of Food Science and Nutrition. All rights Reserved.) |
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| فهرسة مساهمة: | Keywords: HJ-Biplot; biostatistics; nutrition assessment; polyphenols; postnatal care |
| تواريخ الأحداث: | Date Created: 20220425 Latest Revision: 20231020 |
| رمز التحديث: | 20231020 |
| مُعرف محوري في PubMed: | PMC9007708 |
| DOI: | 10.3746/pnf.2022.27.1.20 |
| PMID: | 35465116 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 2287-1098 |
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| DOI: | 10.3746/pnf.2022.27.1.20 |