000285455 001__ 285455
000285455 005__ 20240402114520.0
000285455 0247_ $$2doi$$a10.1093/eurjpc/zwad359
000285455 0247_ $$2pmid$$apmid:37976098
000285455 0247_ $$2ISSN$$a2047-4873
000285455 0247_ $$2ISSN$$a2047-4881
000285455 037__ $$aDKFZ-2023-02389
000285455 041__ $$aEnglish
000285455 082__ $$a610
000285455 1001_ $$00000-0002-7825-5359$$aReinikainen, Jaakko$$b0
000285455 245__ $$aRegional and temporal differences in the associations between cardiovascular disease and its classic risk factors: An analysis of 49 cohorts from 11 European countries.
000285455 260__ $$aOxford$$bOxford University Press$$c2024
000285455 3367_ $$2DRIVER$$aarticle
000285455 3367_ $$2DataCite$$aOutput Types/Journal article
000285455 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1712051077_3774
000285455 3367_ $$2BibTeX$$aARTICLE
000285455 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000285455 3367_ $$00$$2EndNote$$aJournal Article
000285455 500__ $$a2024 Mar 27;31(5):569-577
000285455 520__ $$aThe regional and temporal differences in the associations between cardiovascular disease (CVD) and its classic risk factors are unknown. The current study examined these associations in different European regions over a 30-year period.The study sample comprised 553818 individuals from 49 cohorts in 11 European countries (baseline: 1982-2012) who were followed up for a maximum of 10 years. Risk factors (sex, smoking, diabetes, non-HDL [high-density lipoprotein] cholesterol, systolic blood pressure [BP], and body mass index [BMI]) and CVD events (coronary heart disease or stroke) were harmonized across cohorts. Risk factor-outcome associations were analysed using multivariable-adjusted Cox regression models, and differences in associations were assessed using meta-regression.The differences in the risk factor-CVD associations between central Europe, northern Europe, southern Europe, and the United Kingdom were generally small. Men had a slightly higher hazard ratio (HR) in southern Europe (p = 0.043 for overall difference) and those with diabetes had a slightly lower HR in central Europe (p = 0.022 for overall difference) compared with the other regions. Of the six CVD risk factors, minor HR decreases per decade were observed for non-HDL cholesterol (7% per mmol/L; 95% confidence interval [CI], 3-10%) and systolic BP (4% per 20 mmHg; 95% CI, 1-8%), while a minor HR increase per decade was observed for BMI (7% per 10 kg/m2; 95% CI, 1-13%).The results demonstrate that all classic CVD risk factors are still relevant in Europe, irrespective of regional area. Preventive strategies should focus on risk factors with the greatest population attributable risk.
000285455 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000285455 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000285455 650_7 $$2Other$$aCardiovascular disease
000285455 650_7 $$2Other$$aCoronary heart disease
000285455 650_7 $$2Other$$aEurope
000285455 650_7 $$2Other$$aRisk factor
000285455 650_7 $$2Other$$aStroke
000285455 7001_ $$00000-0003-2165-1411$$aKuulasmaa, Kari$$b1
000285455 7001_ $$aOskarsson, Viktor$$b2
000285455 7001_ $$00000-0001-9088-234X$$aAmouyel, Philippe$$b3
000285455 7001_ $$aBiasch, Katia$$b4
000285455 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b5$$udkfz
000285455 7001_ $$aDe Ponti, Roberto$$b6
000285455 7001_ $$00000-0002-8040-5571$$aDonfrancesco, Chiara$$b7
000285455 7001_ $$aDrygas, Wojciech$$b8
000285455 7001_ $$00000-0001-6144-1297$$aFerrieres, Jean$$b9
000285455 7001_ $$aGrassi, Guido$$b10
000285455 7001_ $$00000-0002-0601-0344$$aGrimsgaard, Sameline$$b11
000285455 7001_ $$00000-0003-0514-5885$$aIacoviello, Licia$$b12
000285455 7001_ $$aJousilahti, Pekka$$b13
000285455 7001_ $$aKårhus, Line L$$b14
000285455 7001_ $$aKee, Frank$$b15
000285455 7001_ $$00000-0002-0994-0184$$aLinneberg, Allan$$b16
000285455 7001_ $$00000-0002-7157-4090$$aLuksiene, Dalia$$b17
000285455 7001_ $$aMariño, Joany$$b18
000285455 7001_ $$aMoitry, Marie$$b19
000285455 7001_ $$00000-0002-4298-2642$$aPalmieri, Luigi$$b20
000285455 7001_ $$aPeters, Annette$$b21
000285455 7001_ $$aPiwonska, Aleksandra$$b22
000285455 7001_ $$00000-0002-7357-0931$$aQuarti-Trevano, Fosca$$b23
000285455 7001_ $$00000-0001-7563-5324$$aSalomaa, Veikko$$b24
000285455 7001_ $$00000-0002-0400-5197$$aSans, Susana$$b25
000285455 7001_ $$aSchmidt, Carsten Oliver$$b26
000285455 7001_ $$0P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aSchöttker, Ben$$b27$$udkfz
000285455 7001_ $$aSöderberg, Stefan$$b28
000285455 7001_ $$aTamosiunas, Abdonas$$b29
000285455 7001_ $$00000-0002-5667-6849$$aThorand, Barbara$$b30
000285455 7001_ $$00000-0001-8721-7058$$aTunstall-Pedoe, Hugh$$b31
000285455 7001_ $$aVanuzzo, Diego$$b32
000285455 7001_ $$00000-0002-4119-6615$$aVeronesi, Giovanni$$b33
000285455 7001_ $$aWoodward, Mark$$b34
000285455 7001_ $$00000-0002-9456-1612$$aLekadir, Karim$$b35
000285455 7001_ $$00000-0002-7394-7487$$aNiiranen, Teemu$$b36
000285455 773__ $$0PERI:(DE-600)2646239-4$$a10.1093/eurjpc/zwad359$$gp. zwad359$$n5$$p569-577$$tEuropean journal of preventive cardiology$$v31$$x2047-4873$$y2024
000285455 909CO $$ooai:inrepo02.dkfz.de:285455$$pVDB
000285455 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ
000285455 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aDeutsches Krebsforschungszentrum$$b27$$kDKFZ
000285455 9131_ $$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$$x0
000285455 9141_ $$y2023
000285455 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2023-08-24$$wger
000285455 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bEUR J PREV CARDIOL : 2022$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2023-08-24
000285455 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bEUR J PREV CARDIOL : 2022$$d2023-08-24
000285455 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000285455 980__ $$ajournal
000285455 980__ $$aVDB
000285455 980__ $$aI:(DE-He78)C070-20160331
000285455 980__ $$aUNRESTRICTED