000132710 001__ 132710
000132710 005__ 20240229105028.0
000132710 0247_ $$2doi$$a10.1016/j.ypmed.2018.02.025
000132710 0247_ $$2pmid$$apmid:29477967
000132710 0247_ $$2ISSN$$a0091-7435
000132710 0247_ $$2ISSN$$a1096-0260
000132710 0247_ $$2altmetric$$aaltmetric:35001051
000132710 037__ $$aDKFZ-2018-00364
000132710 041__ $$aeng
000132710 082__ $$a610
000132710 1001_ $$0P:(DE-He78)2af56a83857b4d1efdbac9720a9197ad$$aErben, Vanessa$$b0$$eFirst author$$udkfz
000132710 245__ $$aDietary patterns and risk of advanced colorectal neoplasms: A large population based screening study in Germany.
000132710 260__ $$aAmsterdam$$bElsevier$$c2018
000132710 3367_ $$2DRIVER$$aarticle
000132710 3367_ $$2DataCite$$aOutput Types/Journal article
000132710 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1659693274_13806
000132710 3367_ $$2BibTeX$$aARTICLE
000132710 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000132710 3367_ $$00$$2EndNote$$aJournal Article
000132710 520__ $$aSpecific components of the diet such as red and processed meat have been associated with the risk of developing colorectal cancer. However, evidence on the association of dietary patterns with colorectal neoplasms is sparse. The aim of this study was to analyze the association of dietary patterns with prevalence of advanced colorectal neoplasms among older adults in Germany. A cross-sectional study was conducted among participants of screening colonoscopy in Saarland, Germany, who were enrolled in the KolosSal study (Effektivität der Früherkennungs-Koloskopie: eine Saarland-weite Studie) from 2005 to 2013. Information on diet and lifestyle factors was obtained through questionnaires and colonoscopy results were extracted from physicians' reports. Associations of a priori defined dietary patterns (vegetarian or adapted versions of the Healthy Eating Index [HEI] and the Dietary Approaches to Stop Hypertension [DASH] index) with the risk of advanced colorectal neoplasms were assessed by multiple logistic regression analyses with comprehensive adjustment for potential confounders. A total of 14,309 participants were included (1561 with advanced colorectal neoplasms). Healthier eating behavior was associated with lower prevalence of advanced colorectal neoplasms in a dose-response manner. Adjusted odds ratios (95% confidence intervals) comparing the highest with the lowest categories of adapted HEI and DASH were 0.61 (0.50, 0.76) and 0.70 (0.55, 0.89), respectively. No significant associations were observed for a vegetarian eating pattern (adjusted OR 0.80 (0.55, 1.17)). Healthy dietary patterns, as described by a high HEI or DASH score, but not a vegetarian diet alone, are associated with reduced risk of advanced colorectal neoplasms.
000132710 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000132710 588__ $$aDataset connected to CrossRef, PubMed,
000132710 7001_ $$0P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107$$aCarr, Prudence$$b1$$udkfz
000132710 7001_ $$aHolleczek, Bernd$$b2
000132710 7001_ $$aStegmaier, Christa$$b3
000132710 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b4$$udkfz
000132710 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b5$$eLast author$$udkfz
000132710 773__ $$0PERI:(DE-600)1471564-8$$a10.1016/j.ypmed.2018.02.025$$gVol. 111, p. 101 - 109$$p101 - 109$$tPreventive medicine$$v111$$x0091-7435$$y2018
000132710 909CO $$ooai:inrepo02.dkfz.de:132710$$pVDB
000132710 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)2af56a83857b4d1efdbac9720a9197ad$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000132710 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)7d7ee36ed0313bbc4c91bc3df5950107$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000132710 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000132710 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ
000132710 9131_ $$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$$x0
000132710 9141_ $$y2018
000132710 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000132710 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPREV MED : 2015
000132710 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000132710 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000132710 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000132710 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000132710 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000132710 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000132710 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000132710 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000132710 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine
000132710 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000132710 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000132710 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000132710 9201_ $$0I:(DE-He78)G110-20160331$$kG110$$lPräventive Onkologie$$x1
000132710 9201_ $$0I:(DE-He78)L101-20160331$$kL101$$lDKTK Heidelberg$$x2
000132710 980__ $$ajournal
000132710 980__ $$aVDB
000132710 980__ $$aI:(DE-He78)C070-20160331
000132710 980__ $$aI:(DE-He78)G110-20160331
000132710 980__ $$aI:(DE-He78)L101-20160331
000132710 980__ $$aUNRESTRICTED