Comparison of flavonoid intake assessment methods using USDA and phenol explorer databases: Subcohort Diet, Cancer and Health-Next Generations — MAX Study
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Comparison of flavonoid intake assessment methods using USDA and phenol explorer databases: Subcohort Diet, Cancer and Health-Next Generations — MAX Study. / Lanuza, Fabian; Bondonno, Nicola P; Zamora-Ros, Raul; Rostgaard-Hansen, Agnetha Linn; Tjønneland, Anne; Landberg, Rikard; Halkjær, Jytte; Andres-Lacueva, Cristina.
In: Frontiers in Nutrition, Vol. 9, 873774, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Comparison of flavonoid intake assessment methods using USDA and phenol explorer databases: Subcohort Diet, Cancer and Health-Next Generations — MAX Study
AU - Lanuza, Fabian
AU - Bondonno, Nicola P
AU - Zamora-Ros, Raul
AU - Rostgaard-Hansen, Agnetha Linn
AU - Tjønneland, Anne
AU - Landberg, Rikard
AU - Halkjær, Jytte
AU - Andres-Lacueva, Cristina
N1 - Publisher Copyright: Copyright © 2022 Lanuza, Bondonno, Zamora-Ros, Rostgaard-Hansen, Tjønneland, Landberg, Halkjær and Andres-Lacueva.
PY - 2022
Y1 - 2022
N2 - Flavonoids are bioactive plant compounds that are widely present in the human diet. Estimating flavonoid intake with a high degree of certainty is challenging due to the inherent limitations of dietary questionnaires and food composition databases. This study aimed to evaluate the degree of reliability among flavonoid intakes estimated using four different approaches based on the two most comprehensive flavonoid databases, namely, United States Department of Agriculture (USDA) and Phenol Explorer (PE). In 678 individuals from the MAX study, a subcohort of the Diet, Cancer and Health-Next Generations cohort, dietary data were collected using three 24-h diet recalls over 1 year. Estimates of flavonoid intake were compared using flavonoid food content from PE as (1) aglycones (chromatography with hydrolysis), (2) aglycones transformed (converted from glycosides by chromatography without hydrolysis), (3) as they are in nature (glycosides, aglycones, and esters), and 4) using flavonoid content from USDA as aglycones (converted). Spearman's intra-class correlation (ICC) coefficient and weighted kappa (K) coefficient were calculated for the reliability analysis. When comparing PE total aglycones to USDA total aglycones, there was a moderate reliability when a continuous variable was used [ICC: 0.73, 95% confidence interval (CI): 0.70–0.76] and an excellent reliability when flavonoid intake was modeled as a categorical variable (K: 0.89, 95% CI: 0.88–0.90). The degree of reliability among all methods of estimated flavonoid intakes was very similar, especially between database pairs, for the flavanol subclass, while larger differences were observed for flavone, flavonol, and isoflavone subclasses. Our findings indicate that caution should be taken when comparing the results of the associations between flavonoid intakes and health outcomes from studies, when flavonoid intakes were estimated using different methods, particularly for some subclasses.
AB - Flavonoids are bioactive plant compounds that are widely present in the human diet. Estimating flavonoid intake with a high degree of certainty is challenging due to the inherent limitations of dietary questionnaires and food composition databases. This study aimed to evaluate the degree of reliability among flavonoid intakes estimated using four different approaches based on the two most comprehensive flavonoid databases, namely, United States Department of Agriculture (USDA) and Phenol Explorer (PE). In 678 individuals from the MAX study, a subcohort of the Diet, Cancer and Health-Next Generations cohort, dietary data were collected using three 24-h diet recalls over 1 year. Estimates of flavonoid intake were compared using flavonoid food content from PE as (1) aglycones (chromatography with hydrolysis), (2) aglycones transformed (converted from glycosides by chromatography without hydrolysis), (3) as they are in nature (glycosides, aglycones, and esters), and 4) using flavonoid content from USDA as aglycones (converted). Spearman's intra-class correlation (ICC) coefficient and weighted kappa (K) coefficient were calculated for the reliability analysis. When comparing PE total aglycones to USDA total aglycones, there was a moderate reliability when a continuous variable was used [ICC: 0.73, 95% confidence interval (CI): 0.70–0.76] and an excellent reliability when flavonoid intake was modeled as a categorical variable (K: 0.89, 95% CI: 0.88–0.90). The degree of reliability among all methods of estimated flavonoid intakes was very similar, especially between database pairs, for the flavanol subclass, while larger differences were observed for flavone, flavonol, and isoflavone subclasses. Our findings indicate that caution should be taken when comparing the results of the associations between flavonoid intakes and health outcomes from studies, when flavonoid intakes were estimated using different methods, particularly for some subclasses.
KW - Aglycone
KW - Concordance
KW - Food composition
KW - Glycoside
KW - Polyphenol
KW - Reliability
U2 - 10.3389/fnut.2022.873774
DO - 10.3389/fnut.2022.873774
M3 - Journal article
C2 - 35445059
AN - SCOPUS:85128472193
VL - 9
JO - Frontiers in Nutrition
JF - Frontiers in Nutrition
SN - 2296-861X
M1 - 873774
ER -
ID: 305695105