guest ::
| Home > Publications database > Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. > print |
| Home > Publications database > Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. > print |
| 001 | 157046 | ||
| 005 | 20240229133153.0 | ||
| 024 | 7 | _ | |a 10.1136/bmj.m2194 |2 doi |
| 024 | 7 | _ | |a pmid:32641421 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC7341350 |2 pmc |
| 024 | 7 | _ | |a 0959-535X |2 ISSN |
| 024 | 7 | _ | |a 0959-8138 |2 ISSN |
| 024 | 7 | _ | |a 0959-8146 |2 ISSN |
| 024 | 7 | _ | |a 0959-8154 |2 ISSN |
| 024 | 7 | _ | |a 1756-1833 |2 ISSN |
| 024 | 7 | _ | |a 1759-2151 |2 ISSN |
| 024 | 7 | _ | |a altmetric:85453163 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2020-01337 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Zheng, Ju-Sheng |b 0 |
| 245 | _ | _ | |a Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. |
| 260 | _ | _ | |a London |c 2020 |b British Medical Association56099 |
| 264 | _ | 1 | |3 online |2 Crossref |b BMJ |c 2020-07-08 |
| 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 1611213635_32146 |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 |
| 520 | _ | _ | |a To investigate the association of plasma vitamin C and carotenoids, as indicators of fruit and vegetable intake, with the risk of type 2 diabetes.Prospective case-cohort study.Populations from eight European countries.9754 participants with incident type 2 diabetes, and a subcohort of 13 662 individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort of 340 234 participants: EPIC-InterAct case-cohort study.Incident type 2 diabetes.In a multivariable adjusted model, higher plasma vitamin C was associated with a lower risk of developing type 2 diabetes (hazard ratio per standard deviation 0.82, 95% confidence interval 0.76 to 0.89). A similar inverse association was shown for total carotenoids (hazard ratio per standard deviation 0.75, 0.68 to 0.82). A composite biomarker score (split into five equal groups), comprising vitamin C and individual carotenoids, was inversely associated with type 2 diabetes with hazard ratios 0.77, 0.66, 0.59, and 0.50 for groups 2-5 compared with group 1 (the lowest group). Self-reported median fruit and vegetable intake was 274 g/day, 396 g/day, and 508 g/day for participants in categories defined by groups 1, 3, and 5 of the composite biomarker score, respectively. One standard deviation difference in the composite biomarker score, equivalent to a 66 (95% confidence interval 61 to 71) g/day difference in total fruit and vegetable intake, was associated with a hazard ratio of 0.75 (0.67 to 0.83). This would be equivalent to an absolute risk reduction of 0.95 per 1000 person years of follow up if achieved across an entire population with the characteristics of the eight European countries included in this analysis.These findings indicate an inverse association between plasma vitamin C, carotenoids, and their composite biomarker score, and incident type 2 diabetes in different European countries. These biomarkers are objective indicators of fruit and vegetable consumption, and suggest that diets rich in even modestly higher fruit and vegetable consumption could help to prevent development of type 2 diabetes. |
| 536 | _ | _ | |a 323 - Metabolic Dysfunction as Risk Factor (POF3-323) |0 G:(DE-HGF)POF3-323 |c POF3-323 |f POF III |x 0 |
| 542 | _ | _ | |i 2020-07-08 |2 Crossref |u http://creativecommons.org/licenses/by/4.0/ |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Sharp, Stephen J |b 1 |
| 700 | 1 | _ | |a Imamura, Fumiaki |b 2 |
| 700 | 1 | _ | |a Chowdhury, Rajiv |b 3 |
| 700 | 1 | _ | |a Gundersen, Thomas E |b 4 |
| 700 | 1 | _ | |a Steur, Marinka |b 5 |
| 700 | 1 | _ | |a Sluijs, Ivonne |b 6 |
| 700 | 1 | _ | |a van der Schouw, Yvonne T |b 7 |
| 700 | 1 | _ | |a Agudo, Antonio |b 8 |
| 700 | 1 | _ | |a Aune, Dagfinn |b 9 |
| 700 | 1 | _ | |a Barricarte, Aurelio |b 10 |
| 700 | 1 | _ | |a Boeing, Heiner |b 11 |
| 700 | 1 | _ | |a Chirlaque, María-Dolores |b 12 |
| 700 | 1 | _ | |a Dorronsoro, Miren |b 13 |
| 700 | 1 | _ | |a Freisling, Heinz |b 14 |
| 700 | 1 | _ | |a El-Fatouhi, Douae |b 15 |
| 700 | 1 | _ | |a Franks, Paul W |b 16 |
| 700 | 1 | _ | |a Fagherazzi, Guy |b 17 |
| 700 | 1 | _ | |a Grioni, Sara |b 18 |
| 700 | 1 | _ | |a Gunter, Marc J |b 19 |
| 700 | 1 | _ | |a Kyrø, Cecilie |b 20 |
| 700 | 1 | _ | |a Katzke, Verena |0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |b 21 |u dkfz |
| 700 | 1 | _ | |a Kühn, Tilman |0 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe |b 22 |u dkfz |
| 700 | 1 | _ | |a Khaw, Kay-Tee |b 23 |
| 700 | 1 | _ | |a Laouali, Nasser |b 24 |
| 700 | 1 | _ | |a Masala, Giovanna |b 25 |
| 700 | 1 | _ | |a Nilsson, Peter M |b 26 |
| 700 | 1 | _ | |a Overvad, Kim |b 27 |
| 700 | 1 | _ | |a Panico, Salvatore |b 28 |
| 700 | 1 | _ | |a Papier, Keren |b 29 |
| 700 | 1 | _ | |a Quirós, J Ramón |b 30 |
| 700 | 1 | _ | |a Rolandsson, Olov |b 31 |
| 700 | 1 | _ | |a Redondo-Sánchez, Daniel |b 32 |
| 700 | 1 | _ | |a Ricceri, Fulvio |b 33 |
| 700 | 1 | _ | |a Schulze, Matthias B |b 34 |
| 700 | 1 | _ | |a Spijkerman, Annemieke M W |b 35 |
| 700 | 1 | _ | |a Tjønneland, Anne |b 36 |
| 700 | 1 | _ | |a Tong, Tammy Y N |b 37 |
| 700 | 1 | _ | |a Tumino, Rosario |b 38 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |b 39 |
| 700 | 1 | _ | |a Danesh, John |b 40 |
| 700 | 1 | _ | |a Butterworth, Adam S |b 41 |
| 700 | 1 | _ | |a Riboli, Elio |b 42 |
| 700 | 1 | _ | |a Forouhi, Nita G |0 0000-0002-5041-248X |b 43 |
| 700 | 1 | _ | |a Wareham, Nicholas J |b 44 |
| 773 | 1 | 8 | |a 10.1136/bmj.m2194 |b BMJ |d 2020-07-08 |p m2194 |3 journal-article |2 Crossref |t BMJ |y 2020 |x 1756-1833 |
| 773 | _ | _ | |a 10.1136/bmj.m2194 |g Vol. 370, p. m2194 - |0 PERI:(DE-600)1479799-9 |p m2194 |t The BMJ |v 370 |y 2020 |x 1756-1833 |
| 909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:157046 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 21 |6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 22 |6 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Herz-Kreislauf-Stoffwechselerkrankungen |1 G:(DE-HGF)POF3-320 |0 G:(DE-HGF)POF3-323 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-300 |4 G:(DE-HGF)POF |v Metabolic Dysfunction as Risk Factor |x 0 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BMJ-BRIT MED J : 2015 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a IF >= 15 |0 StatID:(DE-HGF)9915 |2 StatID |b BMJ-BRIT MED J : 2015 |
| 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 |
| 999 | C | 5 | |a 10.1016/j.diabres.2018.02.023 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.3945/jn.116.242552 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/ejcn.2016.143 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/ejcn.2012.85 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1136/bmj.c4229 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.2337/dc17-0534 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/jnci/djr189 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/sj.ejcn.1602252 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/ejcn.2014.246 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1017/S0007114515003165 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1080/10408398.2010.482217 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1017/S0007114515000355 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/aje/kwj136 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1136/bmjdrc-2015-000147 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1007/s00125-008-1189-3 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/aje/kwj240 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1001/archinte.168.14.1493 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1007/s00125-011-2182-9 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/sj.ejcn.1601945 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1016/j.jchromb.2005.07.008 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1079/PHN2002394 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/ije/26.suppl_1.S1 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/sj.ejcn.1602679 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/clinchem/18.6.499 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/ajcn/77.2.458 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1016/j.jclinepi.2006.06.022 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/aje/kwr265 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1002/sim.3602 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1002/sim.4067 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/nature14177 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1038/ng.3714 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1007/s00439-009-0662-5 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.3945/ajcn.2009.27491 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1001/jama.282.11.1073 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1007/s00125-007-0864-0 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/ajcn/nqy097 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.3945/ajcn.111.019968 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1093/ajcn/nqy082 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1097/MCO.0000000000000314 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1016/j.chom.2018.05.012 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1136/bmjopen-2014-005497 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1136/bmj.k2234 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1097/MOL.0000000000000241 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |2 Crossref |u Roberts C, Steer T, Maplethorpe N, et al. National Diet and Nutrition Survey. Results from years 7 and 8 (combined) of the rolling programme (2014/2015 to 2015/2016). https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/699241/NDNS_results_years_7_and_8.pdf. |
| 999 | C | 5 | |2 Crossref |u Fruit and vegetable consumption statistics. Eurostat Statistical explained. https://ec.europa.eu/eurostat/documents/2995521/7694616/3-14102016-BP-EN.pdf/1234ac94-27fd-4640-b9be-427a42d54881. |
| 999 | C | 5 | |a 10.1038/sj.ejcn.1602253 |9 -- missing cx lookup -- |2 Crossref |
| 999 | C | 5 | |a 10.1079/PHN2004598 |9 -- missing cx lookup -- |2 Crossref |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|