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

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

Mulubirhan Assefa Alemayohu,1 Elisabetta Zanolin,2 Lucia

Cazzoletti,2 Liliya Chamitava,2 Veronica Mattioli,3 Jenny

Plumb,4Peter GJ Burney,5and Vanessa Garcia-Larsen6

1Unit of Epidemiology & Medical Statistics, University of Verona;

School Public Health, Mekelle University; 2Unit of Epidemiology

& Medical Statistics, University of Verona; 3Post-doctoral Research

Fellow, Unit of Epidemiology & Medical Statistics, University of Verona;

4Quadram Institute Bioscience; 5National Heart and Lung Institute,

Imperial College London, UK; and 6Program in Human Nutrition,

Department of International Health, The Johns Hopkins Bloomberg School of Public Health

Objectives:As part of the multinational Burden of Lung Disease

(BOLD) survey, this study investigated the flavonoid content and agree-ment 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

inter-national 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.

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