000154695 001__ 154695
000154695 005__ 20240229123109.0
000154695 0247_ $$2doi$$a10.1136/bmjopen-2019-033941
000154695 0247_ $$2pmid$$apmid:32350013
000154695 0247_ $$2ISSN$$a2044-6055
000154695 0247_ $$2ISSN$$a2053-3624
000154695 0247_ $$2ISSN$$a2398-595X
000154695 0247_ $$2altmetric$$aaltmetric:80879144
000154695 037__ $$aDKFZ-2020-00953
000154695 041__ $$aeng
000154695 082__ $$a610
000154695 1001_ $$00000-0002-5756-5542$$aKartschmit, Nadja$$b0
000154695 245__ $$aWalkability and its association with walking/cycling and body mass index among adults in different regions of Germany: a cross-sectional analysis of pooled data from five German cohorts.
000154695 260__ $$aLondon$$bBMJ Publishing Group$$c2020
000154695 3367_ $$2DRIVER$$aarticle
000154695 3367_ $$2DataCite$$aOutput Types/Journal article
000154695 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1627904936_25572
000154695 3367_ $$2BibTeX$$aARTICLE
000154695 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000154695 3367_ $$00$$2EndNote$$aJournal Article
000154695 520__ $$aTo examine three walkability measures (points of interest (POI), transit stations and impedance (restrictions to walking) within 640 m of participant's addresses) in different regions in Germany and assess the relationships between walkability, walking/cycling and body mass index (BMI) using generalised additive models.Five different regions and cities of Germany using data from five cohort studies.For analysing walking/cycling behaviour, there were 6269 participants of a pooled sample from three cohorts with a mean age of 59.2 years (SD: 14.3) and of them 48.9% were male. For analysing BMI, there were 9441 participants of a pooled sample of five cohorts with a mean age of 62.3 years (SD: 12.8) and of them 48.5% were male.(1) Self-reported walking/cycling (dichotomised into more than 30 min and 30 min and less per day; (2) BMI calculated with anthropological measures from weight and height.Higher impedance was associated with lower prevalence of walking/cycling more than 30 min/day (prevalence ratio (PR): 0.95; 95% CI 0.93 to 0.97), while higher number of POI and transit stations were associated with higher prevalence (PR 1.03; 95% CI 1.02 to 1.05 for both measures). Higher impedance was associated with higher BMI (ß: 0.15; 95% CI 0.04 to 0.25) and a higher number of POI with lower BMI (ß: -0.14; 95% CI -0.24 to 0.04). No association was found between transit stations and BMI (ß: 0.005, 95% CI -0.11 to 0.12). Stratified by cohort we observed heterogeneous associations between BMI and transit stations and impedance.We found evidence for associations of walking/cycling with walkability measures. Associations for BMI differed across cohorts.
000154695 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000154695 588__ $$aDataset connected to CrossRef, PubMed,
000154695 7001_ $$aSutcliffe, Robynne$$b1
000154695 7001_ $$aSheldon, Mark Patrick$$b2
000154695 7001_ $$aMoebus, Susanne$$b3
000154695 7001_ $$0P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aGreiser, Karin Halina$$b4$$udkfz
000154695 7001_ $$aHartwig, Saskia$$b5
000154695 7001_ $$aThürkow, Detlef$$b6
000154695 7001_ $$aStentzel, Ulrike$$b7
000154695 7001_ $$avan den Berg, Neeltje$$b8
000154695 7001_ $$aWolf, Kathrin$$b9
000154695 7001_ $$aMaier, Werner$$b10
000154695 7001_ $$aPeters, Annette$$b11
000154695 7001_ $$aAhmed, Salman$$b12
000154695 7001_ $$aKöhnke, Corinna$$b13
000154695 7001_ $$aMikolajczyk, Rafael$$b14
000154695 7001_ $$aWienke, Andreas$$b15
000154695 7001_ $$aKluttig, Alexander$$b16
000154695 7001_ $$aRudge, Gavin$$b17
000154695 773__ $$0PERI:(DE-600)2599832-8$$a10.1136/bmjopen-2019-033941$$gVol. 10, no. 4, p. e033941 -$$n4$$pe033941$$tBMJ open$$v10$$x2044-6055$$y2020
000154695 909CO $$ooai:inrepo02.dkfz.de:154695$$pVDB
000154695 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000154695 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
000154695 9141_ $$y2020
000154695 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000154695 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000154695 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000154695 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000154695 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000154695 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000154695 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Open peer review
000154695 915__ $$0LIC:(DE-HGF)CCBYNCNV$$2V:(DE-HGF)$$aCreative Commons Attribution-NonCommercial CC BY-NC (No Version)$$bDOAJ
000154695 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000154695 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000154695 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000154695 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x0
000154695 980__ $$ajournal
000154695 980__ $$aVDB
000154695 980__ $$aI:(DE-He78)C020-20160331
000154695 980__ $$aUNRESTRICTED