001     180923
005     20240229145636.0
024 7 _ |a 10.1007/s00394-022-02953-5
|2 doi
024 7 _ |a pmid:35907037
|2 pmid
024 7 _ |a 0044-264X
|2 ISSN
024 7 _ |a 1435-1293
|2 ISSN
024 7 _ |a 1436-6207
|2 ISSN
024 7 _ |a 1436-6215
|2 ISSN
024 7 _ |a altmetric:133713206
|2 altmetric
037 _ _ |a DKFZ-2022-01648
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Zamora-Ros, Raul
|0 0000-0002-6236-6804
|b 0
245 _ _ |a Sweetened beverages are associated with a higher risk of differentiated thyroid cancer in the EPIC cohort: a dietary pattern approach.
260 _ _ |a Heidelberg
|c 2023
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1675692638_31409
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2023 Feb;62(1):105-114
520 _ _ |a 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.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Dietary pattern
|2 Other
650 _ 7 |a EPIC
|2 Other
650 _ 7 |a Intake
|2 Other
650 _ 7 |a Sweetened beverages
|2 Other
650 _ 7 |a Thyroid cancer
|2 Other
700 1 _ |a Cayssials, Valerie
|0 0000-0003-4155-298X
|b 1
700 1 _ |a Clèries, Ramon
|0 0000-0002-3637-4747
|b 2
700 1 _ |a Torrents, Maria
|b 3
700 1 _ |a Byrnes, Graham
|0 0000-0003-3893-7539
|b 4
700 1 _ |a Weiderpass, Elisabete
|0 0000-0003-2237-0128
|b 5
700 1 _ |a Sandström, Maria
|b 6
700 1 _ |a Almquist, Martin
|0 0000-0002-0953-1188
|b 7
700 1 _ |a Boutron-Ruault, Marie-Christine
|0 0000-0002-5956-5693
|b 8
700 1 _ |a Tjønneland, Anne
|0 0000-0003-4385-2097
|b 9
700 1 _ |a Kyrø, Cecilie
|0 0000-0002-9083-8960
|b 10
700 1 _ |a Katzke, Verena
|0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
|b 11
|u dkfz
700 1 _ |a Le Cornet, Charlotte
|0 P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6
|b 12
|u dkfz
700 1 _ |a Masala, Giovanna
|0 0000-0002-5758-9069
|b 13
700 1 _ |a Krogh, Vittorio
|0 0000-0003-0122-8624
|b 14
700 1 _ |a Iannuzzo, Gabriella
|0 0000-0002-7392-5544
|b 15
700 1 _ |a Tumino, Rosario
|0 0000-0003-2666-414X
|b 16
700 1 _ |a Milani, Lorenzo
|b 17
700 1 _ |a Skeie, Guri
|0 0000-0003-2476-4251
|b 18
700 1 _ |a Ubago-Guisado, Esther
|0 0000-0002-9397-2399
|b 19
700 1 _ |a Amiano, Pilar
|0 0000-0003-3986-7026
|b 20
700 1 _ |a Chirlaque, María-Dolores
|0 0000-0001-9242-3040
|b 21
700 1 _ |a Ardanaz, Eva
|0 0000-0001-8434-2013
|b 22
700 1 _ |a Janzi, Suzanne
|0 0000-0003-4382-5689
|b 23
700 1 _ |a Eriksson, Linda
|b 24
700 1 _ |a Freisling, Heinz
|0 0000-0001-8648-4998
|b 25
700 1 _ |a Heath, Alicia K
|0 0000-0001-6517-1300
|b 26
700 1 _ |a Rinaldi, Sabina
|0 0000-0002-6846-1204
|b 27
700 1 _ |a Agudo, Antonio
|0 0000-0001-9900-5677
|b 28
773 _ _ |a 10.1007/s00394-022-02953-5
|0 PERI:(DE-600)1463312-7
|n 1
|p 105-114
|t European journal of nutrition
|v 62
|y 2023
|x 0044-264X
909 C O |p VDB
|o oai:inrepo02.dkfz.de:180923
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2022
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2021-01-27
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-27
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-27
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2023-10-21
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EUR J NUTR : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21