Association of dietary intake of polyphenols with an adequate nutritional profile in postpartum

MIRANDA AR; SCOTTA AV; CORTEZ MV; GONZÁLEZ-GARCÍA N; GALINDO-VILLARDÓN MP; SORIA EA

Preventive Nutrition and Food Science

Korean Society of Food Science and Nutrition

Año: 2022 vol. 27 p. 20 - 36

2287-8602

The HJ-Biplot analysis is a multivariate graphic representation that collects data covariation structurebetween variables and individuals to represent them in a low-dimensional space in the same referencesystem with the highest quality. Consequently, it is a promissory technique to evaluate dietaryexposure to polyphenols and to accurately characterize female nutrition. Herein, we hypothesizedthat polyphenol intake defines specific clusters with dietary impacts, which can be assessed by HJBiplotbased on a cross-sectional study in Argentina. The sample involved 275 healthy postpartumwomen who answered about their food frequency intake and other conditionings, to then evaluatepolyphenolic intake using the Phenol-Explorer database. Outcomes were established with HJ-Biplot forclustering and with ANOVA to compare their impact on diet quality indicators. Two HJ-Biplot modelswere run (for intakes >20 mg/d and 5-20 mg/d, respectively) to identify three clusters per model withexcellent statistical fitness to explain data. Thus, specific polyphenolic clusters with potentiallybioactive and safe compounds were defined despite a great interindividual variability. In fact, womenwith the lowest polyphenolic intake exhibited worse dietary quality, body fat, and physical activity.Therefore, HJ-Biplot was an overcoming technique to cluster women according to the dietary intake ofthese compounds. Furthermore, cluster belonging improved the intake of antioxidants, water, fiber,and healthy fats. Also, women with formal work and a higher educational level showed a better diet.Dietary polyphenols are important during postpartum because they exert beneficials effects on womenand breastfed infants.