Home > Publications database > Dietary intake of total, heme and non-heme iron and the risk of colorectal cancer in a European prospective cohort study. > print |
001 | 267530 | ||
005 | 20240229154919.0 | ||
024 | 7 | _ | |a 10.1038/s41416-023-02164-7 |2 doi |
024 | 7 | _ | |a pmid:36759722 |2 pmid |
024 | 7 | _ | |a 0007-0920 |2 ISSN |
024 | 7 | _ | |a 1532-1827 |2 ISSN |
024 | 7 | _ | |a altmetric:142349101 |2 altmetric |
037 | _ | _ | |a DKFZ-2023-00308 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Aglago, Elom K |0 0000-0002-0442-3284 |b 0 |
245 | _ | _ | |a Dietary intake of total, heme and non-heme iron and the risk of colorectal cancer in a European prospective cohort study. |
260 | _ | _ | |a Edinburgh |c 2023 |b Nature Publ. Group |
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 1686146631_31666 |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 Apr;128(8):1529-1540 |
520 | _ | _ | |a Iron is an essential micronutrient with differing intake patterns and metabolism between men and women. Epidemiologic evidence on the association of dietary iron and its heme and non-heme components with colorectal cancer (CRC) development is inconclusive.We examined baseline dietary questionnaire-assessed intakes of total, heme, and non-heme iron and CRC risk in the EPIC cohort. Sex-specific multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were computed using Cox regression. We modelled substitution of a 1 mg/day of heme iron intake with non-heme iron using the leave one-out method.Of 450,105 participants (318,680 women) followed for 14.2 ± 4.0 years, 6162 (3511 women) developed CRC. In men, total iron intake was not associated with CRC risk (highest vs. lowest quintile, HRQ5vs.Q1:0.88; 95%CI:0.73, 1.06). An inverse association was observed for non-heme iron (HRQ5vs.Q1:0.80, 95%CI:0.67, 0.96) whereas heme iron showed a non-significant association (HRQ5vs.Q1:1.10; 95%CI:0.96, 1.27). In women, CRC risk was not associated with intakes of total (HRQ5vs.Q1:1.11, 95%CI:0.94, 1.31), heme (HRQ5vs.Q1:0.95; 95%CI:0.84, 1.07) or non-heme iron (HRQ5vs.Q1:1.03, 95%CI:0.88, 1.20). Substitution of heme with non-heme iron demonstrated lower CRC risk in men (HR:0.94; 95%CI: 0.89, 0.99).Our findings suggest potential sex-specific CRC risk associations for higher iron consumption that may differ by dietary sources. |
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 |
700 | 1 | _ | |a Cross, Amanda J |b 1 |
700 | 1 | _ | |a Riboli, Elio |0 0000-0001-6795-6080 |b 2 |
700 | 1 | _ | |a Fedirko, Veronika |b 3 |
700 | 1 | _ | |a Hughes, David J |b 4 |
700 | 1 | _ | |a Fournier, Agnes |b 5 |
700 | 1 | _ | |a Jakszyn, Paula |b 6 |
700 | 1 | _ | |a Freisling, Heinz |0 0000-0001-8648-4998 |b 7 |
700 | 1 | _ | |a Gunter, Marc J |b 8 |
700 | 1 | _ | |a Dahm, Christina C |0 0000-0003-0481-2893 |b 9 |
700 | 1 | _ | |a Overvad, Kim |b 10 |
700 | 1 | _ | |a Tjønneland, Anne |b 11 |
700 | 1 | _ | |a Kyrø, Cecilie |b 12 |
700 | 1 | _ | |a Boutron-Ruault, Marie-Christine |b 13 |
700 | 1 | _ | |a Rothwell, Joseph A |b 14 |
700 | 1 | _ | |a Severi, Gianluca |b 15 |
700 | 1 | _ | |a Katzke, Verena |0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |b 16 |u dkfz |
700 | 1 | _ | |a Srour, Bernard |0 P:(DE-He78)0644671d309776d45e0fc705d1156cac |b 17 |
700 | 1 | _ | |a Schulze, Matthias B |b 18 |
700 | 1 | _ | |a Wittenbecher, Clemens |b 19 |
700 | 1 | _ | |a Palli, Domenico |0 0000-0002-5558-2437 |b 20 |
700 | 1 | _ | |a Sieri, Sabina |b 21 |
700 | 1 | _ | |a Pasanisi, Fabrizio |b 22 |
700 | 1 | _ | |a Tumino, Rosario |0 0000-0003-2666-414X |b 23 |
700 | 1 | _ | |a Ricceri, Fulvio |0 0000-0001-8749-9737 |b 24 |
700 | 1 | _ | |a Bueno-de-Mesquita, Bas |b 25 |
700 | 1 | _ | |a Derksen, Jeroen W G |b 26 |
700 | 1 | _ | |a Skeie, Guri |b 27 |
700 | 1 | _ | |a Jensen, Torill Enget |b 28 |
700 | 1 | _ | |a Lukic, Marko |b 29 |
700 | 1 | _ | |a Sánchez, Maria-Jose |b 30 |
700 | 1 | _ | |a Amiano, Pilar |b 31 |
700 | 1 | _ | |a Colorado-Yohar, Sandra |b 32 |
700 | 1 | _ | |a Barricarte, Aurelio |b 33 |
700 | 1 | _ | |a Ericson, Ulrika |b 34 |
700 | 1 | _ | |a van Guelpen, Bethany |b 35 |
700 | 1 | _ | |a Papier, Keren |b 36 |
700 | 1 | _ | |a Knuppel, Anika |b 37 |
700 | 1 | _ | |a Casagrande, Corinne |b 38 |
700 | 1 | _ | |a Huybrechts, Inge |0 0000-0003-3838-855X |b 39 |
700 | 1 | _ | |a Heath, Alicia K |0 0000-0001-6517-1300 |b 40 |
700 | 1 | _ | |a Tsilidis, Konstantinos K |0 0000-0002-8452-8472 |b 41 |
700 | 1 | _ | |a Jenab, Mazda |0 0000-0002-0573-1852 |b 42 |
773 | _ | _ | |a 10.1038/s41416-023-02164-7 |0 PERI:(DE-600)2002452-6 |n 8 |p 1529-1540 |t British journal of cancer |v 128 |y 2023 |x 0007-0920 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:267530 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 16 |6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 17 |6 P:(DE-He78)0644671d309776d45e0fc705d1156cac |
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 2023 |
915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2022-11-15 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2022-11-15 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2022-11-15 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2022-11-15 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2023-10-22 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BRIT J CANCER : 2022 |d 2023-10-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-22 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-22 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b BRIT J CANCER : 2022 |d 2023-10-22 |
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 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|