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| 024 | 7 | _ | |a 10.1136/bmjopen-2019-033941 |2 doi |
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| 024 | 7 | _ | |a 2044-6055 |2 ISSN |
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| 037 | _ | _ | |a DKFZ-2020-00953 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Kartschmit, Nadja |0 0000-0002-5756-5542 |b 0 |
| 245 | _ | _ | |a Walkability 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. |
| 260 | _ | _ | |a London |c 2020 |b BMJ Publishing Group |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1627904936_25572 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a To 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. |
| 536 | _ | _ | |a 313 - Cancer risk factors and prevention (POF3-313) |0 G:(DE-HGF)POF3-313 |c POF3-313 |f POF III |x 0 |
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| 700 | 1 | _ | |a Sutcliffe, Robynne |b 1 |
| 700 | 1 | _ | |a Sheldon, Mark Patrick |b 2 |
| 700 | 1 | _ | |a Moebus, Susanne |b 3 |
| 700 | 1 | _ | |a Greiser, Karin Halina |0 P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b |b 4 |u dkfz |
| 700 | 1 | _ | |a Hartwig, Saskia |b 5 |
| 700 | 1 | _ | |a Thürkow, Detlef |b 6 |
| 700 | 1 | _ | |a Stentzel, Ulrike |b 7 |
| 700 | 1 | _ | |a van den Berg, Neeltje |b 8 |
| 700 | 1 | _ | |a Wolf, Kathrin |b 9 |
| 700 | 1 | _ | |a Maier, Werner |b 10 |
| 700 | 1 | _ | |a Peters, Annette |b 11 |
| 700 | 1 | _ | |a Ahmed, Salman |b 12 |
| 700 | 1 | _ | |a Köhnke, Corinna |b 13 |
| 700 | 1 | _ | |a Mikolajczyk, Rafael |b 14 |
| 700 | 1 | _ | |a Wienke, Andreas |b 15 |
| 700 | 1 | _ | |a Kluttig, Alexander |b 16 |
| 700 | 1 | _ | |a Rudge, Gavin |b 17 |
| 773 | _ | _ | |a 10.1136/bmjopen-2019-033941 |g Vol. 10, no. 4, p. e033941 - |0 PERI:(DE-600)2599832-8 |n 4 |p e033941 |t BMJ open |v 10 |y 2020 |x 2044-6055 |
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