Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases
Permanent link
https://hdl.handle.net/10037/24217Date
2021-09-20Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Iguacel, Isabel; Perez-Cornago, Aurora; Schmidt, Julie A.; Van Puyvelde, Heleen; Travis, Ruth; Casagrande, Corinne; Nicolas, Genevieve; Riboli, Elio; Weiderpass, Elisabete; Ardanaz, Eva; Barricarte, Aurelio; Bodén, Stina; Bruno, Eleonora; Ching-López, Ana; Aune, Dagfinn; Jensen, Torill; Ericson, Ulrika; Johansson, Ingergerd; Ma Huerta, José; Katzke, Verena; Kühn, Tilman; Sacerdote, Carlotta; Schulze, Matthias B.; Skeie, Guri; Ramne, Stina; Ward, Heather; Gunter, Marc J.; Huybrechts, IngeAbstract
Methods and results: Dietary energy, protein and AA intakes were assessed via DQ and 24-HDR by matching with the USNDB food composition table. Energy and protein intakes calculated using USNDB matching were compared with those calculated using ENDB, that uses country specific food composition tables. Pearson correlations, Cohen’s weighted kappa statistic and Bland eAltman plots were used to compare data resulting from USNDB matching with our reference from ENDB matching. Very high correlations were found when comparing daily energy (r Z 0.99) and dietary protein intakes (r Z 0.97) assessed via USNDB with those obtained via ENDB (matching for DQ and 24-HDR). Significant positive correlations were also found with energy and protein intakes acquired via 24-HDRs in the EPIC calibration sample.
Conclusion: Very high correlations between total energy and protein intake obtained via the USDA matching and those available in ENDB suggest accuracy in the food matching. Individual AA have been included in the extended EPIC Nutrient database that will allow important analyses on AA disease prospective associations in the EPIC study.