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Publication . Article . Other literature type . 2020

Flavonoid Content of Selected Foods – A Comparison of Four International Composition Tables

Mulubirhan Assefa Alemayohu; Elisabetta Zanolin; Lucia Cazzoletti; Liliya Chamitava; Veronica Mattioli; Jenny Plumb; Peter Burney; +1 Authors
Open Access
Published: 29 May 2020 Journal: Current Developments in Nutrition, volume 4, pages 1,155-1,155 (eissn: 2475-2991, Copyright policy )
Publisher: Oxford University Press (OUP)
Country: Italy
Abstract Objectives As part of the multinational Burden of Lung Disease (BOLD) survey, this study investigated the flavonoid content and agreement levels of foods included in BOLD's food frequency questionnaire (FFQ), using four international flavonoid composition tables. Methods The USDA (American), BioActive Substances in Food Information System (eBASIS; European), Indian Food Composition (IFCT), and Phenol-Explorer (European) Tables were selected for their comparable data on five subclasses of flavonoids (flavan-3-ols, flavanones, flavones, flavonols, and isoflavones). Flavonoid estimates were derived for all foods available in each table (n = 117 USDA; n = 77 eBASIS; n = 69 IFCT; n = 90 Phenol-Explorer), and comparisons were carried out for foods common between tables. Percentage differences of flavonoid content were calculated, and intra-class correlation coefficients (ICCs; 95% confidence intervals [95%CI]) estimated. ICC reliability was categorized as low (<0.5), moderate (0.50–0.75), good (0.75–0.90), or excellent (>0.90). Results Compared to the USDA Table, total flavonoid content was overestimated by 181.5%, 14.1%, and 26.5%, in the eBASIS, IFCT, and Phenol-Explorer tables, respectively. Compared to Phenol-Explorer, total flavonoid content was overestimated by 53.0% in eBASIS and by 29.6% in IFCT. The reliability for total flavonoid content between the USDA and Phenol-Explorer tables was moderate (ICC 0.51; 95% CI 0.33, 0.65), low between Phenol-Explorer and eBASIS (ICC 0.27; 95% CI 0.02, 0.49), and low between Phenol-Explorer and IFCT (ICC 0.22, 95%CI −0.07, 0.48). There was good-to-excellent reliability between USDA and Phenol-Explorer for flavanones and flavones (ICC 0.93; 95%CI 0.82, 0.98; and ICC 0.86; 95%CI 0.73, 0.93, respectively). Phenol-Explorer and IFCT showed good reliability for flavanone and flavanol subclasses. ICCs for other subclasses was low across tables. Conclusions Flavonoid estimates varied considerably across international tables. These differences should be taken into consideration when deriving flavonoid content in population-based surveys. Funding Sources MAA is funded by the European Union's Horizon 2020 Research and Innovation Programme (Marie Sklodowska-Curie Grant Agreement). The UK's Medical Research Council (MR/R011192/1) funds the BOLD stud.
Subjects by Vocabulary

Microsoft Academic Graph classification: Phenol-Explorer Food science Composition (visual arts) Biology Flavonoid chemistry.chemical_classification chemistry


Nutrition and Dietetics, Food Science, Medicine (miscellaneous), flavonoids, food composition table, polyphenol, methods, USDA, Phenol Explorer, eBASIS, IFCT2017, vegetables, fruit, flavonoids, food composition table, polyphenol, methods, USDA, Phenol Explorer, eBASIS, IFCT2017, vegetables, fruit