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@ARTICLE{ZamoraRos:180923,
      author       = {R. Zamora-Ros and V. Cayssials and R. Clèries and M.
                      Torrents and G. Byrnes and E. Weiderpass and M. Sandström
                      and M. Almquist and M.-C. Boutron-Ruault and A. Tjønneland
                      and C. Kyrø and V. Katzke$^*$ and C. Le Cornet$^*$ and G.
                      Masala and V. Krogh and G. Iannuzzo and R. Tumino and L.
                      Milani and G. Skeie and E. Ubago-Guisado and P. Amiano and
                      M.-D. Chirlaque and E. Ardanaz and S. Janzi and L. Eriksson
                      and H. Freisling and A. K. Heath and S. Rinaldi and A.
                      Agudo},
      title        = {{S}weetened beverages are associated with a higher risk of
                      differentiated thyroid cancer in the {EPIC} cohort: a
                      dietary pattern approach.},
      journal      = {European journal of nutrition},
      volume       = {62},
      number       = {1},
      issn         = {0044-264X},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2022-01648},
      pages        = {105-114},
      year         = {2023},
      note         = {2023 Feb;62(1):105-114},
      abstract     = {Dietary pattern analysis has gained particular interest,
                      because it reflects the complexity of dietary intake. The
                      aim of this study was to explore the associations between a
                      posteriori dietary patterns, derived using a data-driven
                      approach, and the risk of differentiated thyroid cancer (TC)
                      in Europe.This investigation included 450,064 adults from
                      the European Prospective Investigation into Cancer and
                      Nutrition (EPIC) cohort. Dietary intake was assessed using
                      validated country-specific dietary questionnaires. A
                      posteriori dietary patterns were computed using principal
                      component analyses. Cox regression was used to calculate
                      multivariable adjusted hazard ratios (HRs) and $95\%$
                      confidence intervals (CIs).After a mean follow-up time of 14
                      years, 712 first differentiated TCs were diagnosed. In the
                      fully adjusted model, a dietary pattern characterized by
                      alcohol consumption (basically beer and wine) was negatively
                      associated with differentiated TC risk (HRQ4vs.Q1 = 0.75;
                      $95\%$ CI:0.60-0.94, P-trend = 0.005), while a dietary
                      pattern rich in sweetened beverages was positively
                      associated with differentiated TC risk (HRQ4vs.Q1 = 1.26;
                      $95\%$ CI:0.99-1.61; P-trend = 0.07). The remaining 8
                      dietary patterns were not related to differentiated TC risk.
                      The intake of sweetened beverages was positively associated
                      with differentiated TC risk (HR100mL/d = 1.05; $95\%$
                      CI:1.00-1.11), especially with papillary TC risk (HR100mL/d
                      = 1.07; $95\%$ CI:1.01-1.13). Similar results were observed
                      with sugary and artificially sweetened beverages.The
                      investigation of dietary patterns detected that the
                      consumption of sweetened beverages was associated with a
                      higher risk of differentiated thyroid cancer. Our results
                      are in line with the general dietary recommendations of
                      reducing the consumption of sweetened beverages.},
      keywords     = {Dietary pattern (Other) / EPIC (Other) / Intake (Other) /
                      Sweetened beverages (Other) / Thyroid cancer (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:35907037},
      doi          = {10.1007/s00394-022-02953-5},
      url          = {https://inrepo02.dkfz.de/record/180923},
}