000301716 001__ 301716
000301716 005__ 20250531113409.0
000301716 0247_ $$2doi$$a10.3390/nu17101645
000301716 0247_ $$2pmid$$apmid:40431387
000301716 0247_ $$2pmc$$apmc:PMC12114188
000301716 037__ $$aDKFZ-2025-01108
000301716 041__ $$aEnglish
000301716 082__ $$a610
000301716 1001_ $$00009-0004-7239-6312$$aTorres-Laiton, Luisa$$b0
000301716 245__ $$aDiabetes-Related Dietary Patterns and Endometrial Cancer Risk and Survival in the European Prospective Investigation into Cancer and Nutrition Study.
000301716 260__ $$aBasel$$bMDPI$$c2025
000301716 3367_ $$2DRIVER$$aarticle
000301716 3367_ $$2DataCite$$aOutput Types/Journal article
000301716 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1748603158_4107
000301716 3367_ $$2BibTeX$$aARTICLE
000301716 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000301716 3367_ $$00$$2EndNote$$aJournal Article
000301716 520__ $$aEndometrial cancer (EC)'s major risk factors include obesity and diabetes, both strongly related with lifestyle choices and dietary factors. Our study aimed to evaluate the relationship between diabetes-related dietary patterns, EC risk, and survival in a population of middle-aged European women.A total of 285,418 female participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study were included in the analysis. After a mean time of 10.6 years of follow-up, 1955 incident EC cases were registered; of those, 133 women died from EC. The Empirical Dietary Index for Insulin Resistance (EDIR), the Empirical Dietary Index for Hyperinsulinemia (EDIH), and the Diabetes Risk Reduction Diet (DRRD), were estimated from dietary information collected at baseline from EPIC participants. Cox proportional hazards regression models were used to evaluate the association between the dietary patterns and EC risk, using hazard ratios (HR), 95% confidence intervals (CI), and adjusting for relevant confounders. Cox and Fine-Gray models were used to assess the association with overall and EC-specific mortality, respectively.Higher adherence to EDIR was associated with an increased risk of EC, multivariable HR for T3vsT1 were 1.17 (95% CI = 1.04 to1.31). However, when BMI was included in the models, these associations became weaker and no longer statistically significant. No associations were observed in relation to adherence to EDIH, DRRD, and EC risk. No associations were found in relation to diabetes-related dietary patterns and mortality.This study highlights the potential role of diabetes related dietary patterns and EC etiology and prevention. Further studies are warranted to better understand the role of etiology-derived dietary patterns and disease prevention and prognosis.
000301716 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000301716 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000301716 650_7 $$2Other$$adiabetes
000301716 650_7 $$2Other$$adietary patterns
000301716 650_7 $$2Other$$aendometrial cancer
000301716 650_7 $$2Other$$aetiology
000301716 650_7 $$2Other$$arisk factors
000301716 650_7 $$2Other$$asurvival
000301716 650_2 $$2MeSH$$aHumans
000301716 650_2 $$2MeSH$$aFemale
000301716 650_2 $$2MeSH$$aEndometrial Neoplasms: mortality
000301716 650_2 $$2MeSH$$aEndometrial Neoplasms: epidemiology
000301716 650_2 $$2MeSH$$aEndometrial Neoplasms: etiology
000301716 650_2 $$2MeSH$$aMiddle Aged
000301716 650_2 $$2MeSH$$aProspective Studies
000301716 650_2 $$2MeSH$$aEurope: epidemiology
000301716 650_2 $$2MeSH$$aRisk Factors
000301716 650_2 $$2MeSH$$aDiet: adverse effects
000301716 650_2 $$2MeSH$$aProportional Hazards Models
000301716 650_2 $$2MeSH$$aFeeding Behavior
000301716 650_2 $$2MeSH$$aDiabetes Mellitus: epidemiology
000301716 650_2 $$2MeSH$$aAdult
000301716 650_2 $$2MeSH$$aInsulin Resistance
000301716 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2
000301716 7001_ $$00000-0001-6224-1764$$aLuján-Barroso, Leila$$b1
000301716 7001_ $$aNadal-Zaragoza, Núria$$b2
000301716 7001_ $$00000-0001-9050-7590$$aCastro-Espin, Carlota$$b3
000301716 7001_ $$aJakszyn, Paula$$b4
000301716 7001_ $$aPanico, Camilla$$b5
000301716 7001_ $$0P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6$$aLe Cornet, Charlotte$$b6$$udkfz
000301716 7001_ $$00000-0003-0481-2893$$aDahm, Christina C$$b7
000301716 7001_ $$00000-0002-0346-6776$$aPetrova, Dafina$$b8
000301716 7001_ $$aRodríguez-Palacios, Daniel Ángel$$b9
000301716 7001_ $$aJannasch, Franziska$$b10
000301716 7001_ $$00000-0002-5758-9069$$aMasala, Giovanna$$b11
000301716 7001_ $$aDossus, Laure$$b12
000301716 7001_ $$00009-0008-9609-3681$$aPadroni, Lisa$$b13
000301716 7001_ $$00000-0001-9242-6364$$aGuevara, Marcela$$b14
000301716 7001_ $$00000-0002-0830-5277$$aSchulze, Matthias B$$b15
000301716 7001_ $$aFortner, Renée T$$b16
000301716 7001_ $$00000-0003-2666-414X$$aTumino, Rosario$$b17
000301716 7001_ $$00000-0003-1493-4288$$aCrous-Bou, Marta$$b18
000301716 773__ $$0PERI:(DE-600)2518386-2$$a10.3390/nu17101645$$gVol. 17, no. 10, p. 1645 -$$n10$$p1645$$tNutrients$$v17$$x2072-6643$$y2025
000301716 909CO $$ooai:inrepo02.dkfz.de:301716$$pVDB
000301716 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6$$aDeutsches Krebsforschungszentrum$$b6$$kDKFZ
000301716 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000301716 9141_ $$y2025
000301716 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNUTRIENTS : 2022$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-02
000301716 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNUTRIENTS : 2022$$d2025-01-02
000301716 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebs$$x0
000301716 980__ $$ajournal
000301716 980__ $$aVDB
000301716 980__ $$aI:(DE-He78)C020-20160331
000301716 980__ $$aUNRESTRICTED