000143389 001__ 143389 000143389 005__ 20240229112551.0 000143389 0247_ $$2doi$$a10.1002/ijc.32276 000143389 0247_ $$2pmid$$apmid:30873591 000143389 0247_ $$2ISSN$$a0020-7136 000143389 0247_ $$2ISSN$$a1097-0215 000143389 0247_ $$2altmetric$$aaltmetric:59701902 000143389 037__ $$aDKFZ-2019-00977 000143389 041__ $$aeng 000143389 082__ $$a610 000143389 1001_ $$00000-0001-9229-2589$$aWatts, Eleanor L$$b0 000143389 245__ $$aThe associations of anthropometric, behavioural and sociodemographic factors with circulating concentrations of IGF-I, IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 in a pooled analysis of 16,024 men from 22 studies. 000143389 260__ $$aBognor Regis$$bWiley-Liss$$c2019 000143389 3367_ $$2DRIVER$$aarticle 000143389 3367_ $$2DataCite$$aOutput Types/Journal article 000143389 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1572877604_20406 000143389 3367_ $$2BibTeX$$aARTICLE 000143389 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000143389 3367_ $$00$$2EndNote$$aJournal Article 000143389 520__ $$aInsulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBPs) have been implicated in the aetiology of several cancers. To better understand whether anthropometric, behavioural and sociodemographic factors may play a role in cancer risk via IGF signalling, we examined the cross-sectional associations of these exposures with circulating concentrations of IGFs (IGF-I and IGF-II) and IGFBPs (IGFBP-1, IGFBP-2 and IGFBP-3). The Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset includes individual participant data from 16,024 male controls (i.e. without prostate cancer) aged 22-89 years from 22 prospective studies. Geometric means of protein concentrations were estimated using analysis of variance, adjusted for relevant covariates. Older age was associated with higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGF-I, IGF-II and IGFBP-3. Higher body mass index was associated with lower concentrations of IGFBP-1 and IGFBP-2. Taller height was associated with higher concentrations of IGF-I and IGFBP-3 and lower concentrations of IGFBP-1. Smokers had higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGFBP-3 than nonsmokers. Higher alcohol consumption was associated with higher concentrations of IGF-II and lower concentrations of IGF-I and IGFBP-2. African Americans had lower concentrations of IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 and Hispanics had lower IGF-I, IGF-II and IGFBP-3 than non-Hispanic whites. These findings indicate that a range of anthropometric, behavioural and sociodemographic factors are associated with circulating concentrations of IGFs and IGFBPs in men, which will lead to a greater understanding of the mechanisms through which these factors influence cancer risk. 000143389 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0 000143389 588__ $$aDataset connected to CrossRef, PubMed, 000143389 7001_ $$aPerez-Cornago, Aurora$$b1 000143389 7001_ $$aAppleby, Paul N$$b2 000143389 7001_ $$aAlbanes, Demetrius$$b3 000143389 7001_ $$aArdanaz, Eva$$b4 000143389 7001_ $$aBlack, Amanda$$b5 000143389 7001_ $$aBueno-de-Mesquita, H Bas$$b6 000143389 7001_ $$aChan, June M$$b7 000143389 7001_ $$aChen, Chu$$b8 000143389 7001_ $$aChubb, S A Paul$$b9 000143389 7001_ $$aCook, Michael B$$b10 000143389 7001_ $$aDeschasaux, Mélanie$$b11 000143389 7001_ $$aDonovan, Jenny L$$b12 000143389 7001_ $$aEnglish, Dallas R$$b13 000143389 7001_ $$aFlicker, Leon$$b14 000143389 7001_ $$aFreedman, Neal D$$b15 000143389 7001_ $$aGalan, Pilar$$b16 000143389 7001_ $$aGiles, Graham G$$b17 000143389 7001_ $$aGiovannucci, Edward L$$b18 000143389 7001_ $$aGunter, Marc J$$b19 000143389 7001_ $$aHabel, Laurel A$$b20 000143389 7001_ $$00000-0001-6808-4405$$aHäggström, Christel$$b21 000143389 7001_ $$aHaiman, Christopher$$b22 000143389 7001_ $$aHamdy, Freddie C$$b23 000143389 7001_ $$aHercberg, Serge$$b24 000143389 7001_ $$aHolly, Jeff M$$b25 000143389 7001_ $$00000-0002-7808-9477$$aHuang, Jiaqi$$b26 000143389 7001_ $$00000-0002-4440-3368$$aHuang, Wen-Yi$$b27 000143389 7001_ $$aJohansson, Mattias$$b28 000143389 7001_ $$0P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a$$aKaaks, Rudolf$$b29$$udkfz 000143389 7001_ $$aKubo, Tatsuhiko$$b30 000143389 7001_ $$aLane, J Athene$$b31 000143389 7001_ $$aLayne, Tracy M$$b32 000143389 7001_ $$aLe Marchand, Loic$$b33 000143389 7001_ $$aMartin, Richard M$$b34 000143389 7001_ $$aMetter, E Jeffrey$$b35 000143389 7001_ $$aMikami, Kazuya$$b36 000143389 7001_ $$aMilne, Roger L$$b37 000143389 7001_ $$aMorris, Howard A$$b38 000143389 7001_ $$aMucci, Lorelei A$$b39 000143389 7001_ $$aNeal, David E$$b40 000143389 7001_ $$aNeuhouser, Marian L$$b41 000143389 7001_ $$aOliver, Steven E$$b42 000143389 7001_ $$aOvervad, Kim$$b43 000143389 7001_ $$aOzasa, Kotaro$$b44 000143389 7001_ $$aPala, Valeria$$b45 000143389 7001_ $$aPernar, Claire H$$b46 000143389 7001_ $$aPollak, Michael$$b47 000143389 7001_ $$aRowlands, Mari-Anne$$b48 000143389 7001_ $$aSchaefer, Catherine A$$b49 000143389 7001_ $$aSchenk, Jeannette M$$b50 000143389 7001_ $$aStattin, Pär$$b51 000143389 7001_ $$aTamakoshi, Akiko$$b52 000143389 7001_ $$aThysell, Elin$$b53 000143389 7001_ $$aTouvier, Mathilde$$b54 000143389 7001_ $$aTrichopoulou, Antonia$$b55 000143389 7001_ $$00000-0002-8452-8472$$aTsilidis, Konstantinos K$$b56 000143389 7001_ $$aVan Den Eeden, Stephen K$$b57 000143389 7001_ $$aWeinstein, Stephanie J$$b58 000143389 7001_ $$aWilkens, Lynne$$b59 000143389 7001_ $$aYeap, Bu B$$b60 000143389 7001_ $$aKey, Timothy J$$b61 000143389 7001_ $$aAllen, Naomi E$$b62 000143389 7001_ $$aTravis, Ruth C$$b63 000143389 773__ $$0PERI:(DE-600)1474822-8$$a10.1002/ijc.32276$$gp. ijc.32276$$n12$$p3244-3256$$tInternational journal of cancer$$v145$$x1097-0215$$y2019 000143389 909CO $$ooai:inrepo02.dkfz.de:143389$$pVDB 000143389 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a$$aDeutsches Krebsforschungszentrum$$b29$$kDKFZ 000143389 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0 000143389 9141_ $$y2019 000143389 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz 000143389 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000143389 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000143389 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database 000143389 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bINT J CANCER : 2017 000143389 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List 000143389 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index 000143389 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000143389 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000143389 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences 000143389 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews 000143389 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bINT J CANCER : 2017 000143389 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebserkrankungen$$x0 000143389 980__ $$ajournal 000143389 980__ $$aVDB 000143389 980__ $$aI:(DE-He78)C020-20160331 000143389 980__ $$aUNRESTRICTED