000141120 001__ 141120
000141120 005__ 20240229105119.0
000141120 0247_ $$2doi$$a10.3390/nu10060725
000141120 0247_ $$2pmid$$apmid:29874819
000141120 0247_ $$2pmc$$apmc:PMC6024313
000141120 0247_ $$2altmetric$$aaltmetric:43472555
000141120 037__ $$aDKFZ-2018-01654
000141120 041__ $$aeng
000141120 082__ $$a610
000141120 1001_ $$aLandais, Edwige$$b0
000141120 245__ $$aCoffee and Tea Consumption and the Contribution of Their Added Ingredients to Total Energy and Nutrient Intakes in 10 European Countries: Benchmark Data from the Late 1990s.
000141120 260__ $$aBasel$$bMDPI$$c2018
000141120 3367_ $$2DRIVER$$aarticle
000141120 3367_ $$2DataCite$$aOutput Types/Journal article
000141120 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1540555481_23543
000141120 3367_ $$2BibTeX$$aARTICLE
000141120 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000141120 3367_ $$00$$2EndNote$$aJournal Article
000141120 520__ $$aCoffee and tea are among the most commonly consumed nonalcoholic beverages worldwide, but methodological differences in assessing intake often hamper comparisons across populations. We aimed to (i) describe coffee and tea intakes and (ii) assess their contribution to intakes of selected nutrients in adults across 10 European countries.Between 1995 and 2000, a standardized 24-h dietary recall was conducted among 36,018 men and women from 27 European Prospective Investigation into Cancer and Nutrition (EPIC) study centres. Adjusted arithmetic means of intakes were estimated in grams (=volume) per day by sex and centre. Means of intake across centres were compared by sociodemographic characteristics and lifestyle factors.In women, the mean daily intake of coffee ranged from 94 g/day (~0.6 cups) in Greece to 781 g/day (~4.4 cups) in Aarhus (Denmark), and tea from 14 g/day (~0.1 cups) in Navarra (Spain) to 788 g/day (~4.3 cups) in the UK general population. Similar geographical patterns for mean daily intakes of both coffee and tea were observed in men. Current smokers as compared with those who reported never smoking tended to drink on average up to 500 g/day more coffee and tea combined, but with substantial variation across centres. Other individuals' characteristics such as educational attainment or age were less predictive. In all centres, coffee and tea contributed to less than 10% of the energy intake. The greatest contribution to total sugar intakes was observed in Southern European centres (up to ~20%).Coffee and tea intake and their contribution to energy and sugar intake differed greatly among European adults. Variation in consumption was mostly driven by geographical region.
000141120 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000141120 588__ $$aDataset connected to CrossRef, PubMed,
000141120 650_7 $$2NLM Chemicals$$aCoffee
000141120 650_7 $$2NLM Chemicals$$aTea
000141120 7001_ $$aMoskal, Aurélie$$b1
000141120 7001_ $$aMullee, Amy$$b2
000141120 7001_ $$aNicolas, Geneviève$$b3
000141120 7001_ $$aGunter, Marc J$$b4
000141120 7001_ $$aHuybrechts, Inge$$b5
000141120 7001_ $$aOvervad, Kim$$b6
000141120 7001_ $$00000-0003-3071-1658$$aRoswall, Nina$$b7
000141120 7001_ $$aAffret, Aurélie$$b8
000141120 7001_ $$aFagherazzi, Guy$$b9
000141120 7001_ $$00000-0002-5892-8886$$aMahamat-Saleh, Yahya$$b10
000141120 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b11$$udkfz
000141120 7001_ $$0P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe$$aKühn, Tilman$$b12$$udkfz
000141120 7001_ $$00000-0003-1441-897X$$aLa Vecchia, Carlo$$b13
000141120 7001_ $$aTrichopoulou, Antonia$$b14
000141120 7001_ $$aValanou, Elissavet$$b15
000141120 7001_ $$00000-0002-0117-1608$$aSaieva, Calogero$$b16
000141120 7001_ $$aSantucci de Magistris, Maria$$b17
000141120 7001_ $$00000-0001-5201-172X$$aSieri, Sabina$$b18
000141120 7001_ $$aBraaten, Tonje$$b19
000141120 7001_ $$00000-0003-2476-4251$$aSkeie, Guri$$b20
000141120 7001_ $$aWeiderpass, Elisabete$$b21
000141120 7001_ $$aArdanaz, Eva$$b22
000141120 7001_ $$aChirlaque, Maria-Dolores$$b23
000141120 7001_ $$aGarcia, Jose Ramon$$b24
000141120 7001_ $$aJakszyn, Paula$$b25
000141120 7001_ $$aRodríguez-Barranco, Miguel$$b26
000141120 7001_ $$aBrunkwall, Louise$$b27
000141120 7001_ $$00000-0001-5498-4699$$aHuseinovic, Ena$$b28
000141120 7001_ $$aNilsson, Lena$$b29
000141120 7001_ $$aWallström, Peter$$b30
000141120 7001_ $$aBueno-de-Mesquita, Bas$$b31
000141120 7001_ $$aPeeters, Petra H$$b32
000141120 7001_ $$aAune, Dagfinn$$b33
000141120 7001_ $$aKey, Tim$$b34
000141120 7001_ $$00000-0003-4713-907X$$aLentjes, Marleen$$b35
000141120 7001_ $$aRiboli, Elio$$b36
000141120 7001_ $$aSlimani, Nadia$$b37
000141120 7001_ $$00000-0001-8648-4998$$aFreisling, Heinz$$b38
000141120 773__ $$0PERI:(DE-600)2518386-2$$a10.3390/nu10060725$$gVol. 10, no. 6, p. 725 -$$n6$$p725$$tNutrients$$v10$$x2072-6643$$y2018
000141120 909CO $$ooai:inrepo02.dkfz.de:141120$$pVDB
000141120 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000141120 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ
000141120 9131_ $$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$$x0
000141120 9141_ $$y2018
000141120 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNUTRIENTS : 2017
000141120 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000141120 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000141120 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000141120 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000141120 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000141120 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000141120 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review
000141120 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ
000141120 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000141120 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000141120 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000141120 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000141120 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000141120 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebserkrankungen$$x0
000141120 980__ $$ajournal
000141120 980__ $$aVDB
000141120 980__ $$aI:(DE-He78)C020-20160331
000141120 980__ $$aUNRESTRICTED