Αποτελέσματα Αναζήτησης
1 Ιουν 2019 · The primary aim of this study was to determine if phytonutrient intake, measured by the phytonutrient index (PI), is correlated with body composition in participants in Thibodaux, Louisiana.
1 Ιουν 2019 · Analysis of variance (ANOVA) with post-hoc tests was used to determine differences in PI and phytonutrient intakes among the BMI, waist circumference and percent body fat groups.
24 Οκτ 2019 · Results considered statistically significant if p-value < 0.05. The results showed a strong inverse correlation between PI and BMI (r = –0.753, P = 0.00), waist circumference (r = –0.730, P = 0.00), and body fat percentage (r = –0.701, P = 0.00).
Three 24-hour food recalls were used to calculate phytonutrient content of the diets using the phytonutrient index (PI). A food frequency questionnaire was used to determine intake of specific phytonutrients (carotenoids, anthocyanins, and carotenoids).
Objectives: The primary aim of this study was to determine if phytonutrient intake, measured by the phytonutrient index (PI), is correlated with body composition in participants in Thibodaux, Louisiana.
The phytonutrient index (PI) was an established formula used to calculate the percentage (%) of the diet comprised of phytonutrient rich foods. Three different body assessment tools were used to determine body adiposity (body mass index [BMI], waist circumference, and fat percentage).
The Phytochemical Index (PI) and carbohydrate consumption had a beneficial correlation. Plant foods have a more beneficial form of carbohydrate than sweetened drinks, white bread, and other meals manufactured from refined flour.
