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@ARTICLE{Iguacel:177215,
      author       = {I. Iguacel and A. Perez-Cornago and J. A. Schmidt and H.
                      Van Puyvelde and R. Travis and C. Casagrande and G. Nicolas
                      and E. Riboli and E. Weiderpass and E. Ardanaz and A.
                      Barricarte and S. Bodén and E. Bruno and A. Ching-López
                      and A. Dagfinn and T. E. Jensen and U. Ericson and I.
                      Johansson and J. Ma Huerta and V. Katzke$^*$ and T.
                      Kühn$^*$ and C. Sacerdote and M. B. Schulze and G. Skeie
                      and S. Ramne and H. Ward and M. J. Gunter and I. Huybrechts},
      title        = {{E}valuation of protein and amino acid intake estimates
                      from the {EPIC} dietary questionnaires and 24-h dietary
                      recalls using different food composition databases.},
      journal      = {Nutrition, metabolism and cardiovascular diseases},
      volume       = {32},
      number       = {1},
      issn         = {0939-4753},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2021-02349},
      pages        = {80-89},
      year         = {2022},
      note         = {2022 Jan;32(1):80-89},
      abstract     = {This study aimed to expand the European Prospective
                      Investigation into Cancer and Nutrition (EPIC) nutrient
                      database (ENDB) by adding amino acid (AA) values, using the
                      U.S. nutrient database (USNDB). Additionally, we aimed to
                      evaluate these new protein and AA intake estimates from the
                      EPIC dietary questionnaires (DQ) and 24-h dietary recalls
                      (24-HDR) using different matching procedures.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-Altman 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 = 0.99) and dietary
                      protein intakes (r = 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.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.},
      keywords     = {24-h dietary recall (Other) / Amino acid intakes (Other) /
                      Dietary questionnaire (Other) / Food composition tables
                      (Other) / Validity (Other)},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34696945},
      doi          = {10.1016/j.numecd.2021.09.012},
      url          = {https://inrepo02.dkfz.de/record/177215},
}