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@ARTICLE{Knppel:143000,
      author       = {S. Knüppel and M. Clemens and J. Conrad and S. Gastell and
                      K. B. Michels and M. Leitzmann and L. Krist and T. Pischon
                      and G. Krause and W. Ahrens and N. Ebert and K.-H. Jöckel
                      and A. Kluttig and N. Obi and R. Kaaks$^*$ and W. Lieb and
                      S. Schipf and H. Brenner$^*$ and T. Heuer and U. Harttig and
                      J. Linseisen and U. Nöthlings and H. Boeing},
      title        = {{D}esign and characterization of dietary assessment in the
                      {G}erman {N}ational {C}ohort.},
      journal      = {European journal of clinical nutrition},
      volume       = {73},
      number       = {11},
      issn         = {1476-5640},
      address      = {New York, NY},
      publisher    = {Nature Publ. Group},
      reportid     = {DKFZ-2019-00625},
      pages        = {1480-1491},
      year         = {2019},
      note         = {73(11):1480-1491},
      abstract     = {The aim of the study was to describe a novel dietary
                      assessment strategy based on two instruments complemented by
                      information from an external population applied to estimate
                      usual food intake in the large-scale multicenter German
                      National Cohort (GNC). As proof of concept, we applied the
                      assessment strategy to data from a pretest study (2012-2013)
                      to assess the feasibility of the novel assessment
                      strategy.First, the consumption probability for each
                      individual was modeled using three 24 h food lists
                      (24h-FLs) and frequencies from one food frequency
                      questionnaire (FFQ). Second, daily consumed food amounts
                      were estimated from the representative German National
                      Nutrition Survey II (NVS II) taking the characteristics of
                      the participants into account. Usual food intake was
                      estimated using the product of consumption probability and
                      amounts.We estimated usual intake of 41 food groups in 318
                      men and 377 women. The participation proportion was 100,
                      84.4, and $68.5\%$ for the first, second, and third 24h-FL,
                      respectively. We observed no associations between the
                      probability of participating and lifestyle factors. The
                      estimated distributions of usual food intakes were plausible
                      and total energy was estimated to be 2707 kcal/day for men
                      and 2103 kcal/day for women. The estimated consumption
                      frequencies did not differ substantially between men and
                      women with only few exceptions. The differences in energy
                      intake between men and women were mostly due to differences
                      in estimated daily amounts.The combination of repeated
                      24h-FLs, a FFQ, and consumption-day amounts from a reference
                      population represents a user-friendly dietary assessment
                      approach having generated plausible, but not yet validated,
                      food intake values in the pretest study.},
      cin          = {C020 / C120 / C070 / L101},
      ddc          = {630},
      cid          = {I:(DE-He78)C020-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)C070-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30647440},
      doi          = {10.1038/s41430-018-0383-8},
      url          = {https://inrepo02.dkfz.de/record/143000},
}