<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kartschmit N</submitter><funding>Wilhelm-Roux Programme</funding><funding>Deutsche Forschungsgemeinschaft</funding><funding>Ministry of Education and Cultural Affairs of Saxony-Anhalt and the Federal Employment Office</funding><funding>National Institute for Health Research (NIHR) Collaborations</funding><funding>Competence Network Diabetes Mellitus Competence Network Obesity of the German Federal Ministry of Education and Research</funding><funding>German Migraine and Headache Society</funding><funding>Ministry for Education, Research, and Cultural Affairs; and the Ministry for Social Affairs of the Federal State of Mecklenburg–West Pomerania</funding><funding>LMUinnovativ</funding><funding>State of Bavaria</funding><funding>German Ministry of Education and Science</funding><funding>German Federal Ministry of Education and Research</funding><funding>Heinz Nixdorf Foundation</funding><pagination>e033941</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7213856</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(4)</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>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.&lt;h4>Setting&lt;/h4>Five different regions and cities of Germany using data from five cohort studies.&lt;h4>Participants&lt;/h4>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.&lt;h4>Outcomes</pubmed_abstract><journal>BMJ open</journal><pubmed_title>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.</pubmed_title><pmcid>PMC7213856</pmcid><funding_grant_id>BMBF, grant 01ZZ0403</funding_grant_id><funding_grant_id>Collaborative Research Center 598 “Heart failure</funding_grant_id><funding_grant_id>BMBF, grant 01GI1121B</funding_grant_id><funding_grant_id>BMBF, grant 01GI1110C</funding_grant_id><pubmed_authors>Sutcliffe R</pubmed_authors><pubmed_authors>Peters A</pubmed_authors><pubmed_authors>Stentzel U</pubmed_authors><pubmed_authors>Kohnke C</pubmed_authors><pubmed_authors>Maier W</pubmed_authors><pubmed_authors>Ahmed S</pubmed_authors><pubmed_authors>Kartschmit N</pubmed_authors><pubmed_authors>Mikolajczyk R</pubmed_authors><pubmed_authors>Hartwig S</pubmed_authors><pubmed_authors>Thurkow D</pubmed_authors><pubmed_authors>Greiser KH</pubmed_authors><pubmed_authors>Rudge G</pubmed_authors><pubmed_authors>Moebus S</pubmed_authors><pubmed_authors>Wienke A</pubmed_authors><pubmed_authors>Wolf K</pubmed_authors><pubmed_authors>Kluttig A</pubmed_authors><pubmed_authors>Sheldon MP</pubmed_authors><pubmed_authors>van den Berg N</pubmed_authors></additional><is_claimable>false</is_claimable><name>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.</name><description>&lt;h4>Objectives&lt;/h4>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.&lt;h4>Setting&lt;/h4>Five different regions and cities of Germany using data from five cohort studies.&lt;h4>Participants&lt;/h4>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.&lt;h4>Outcomes</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Apr</publication><modification>2025-05-29T22:01:41.043Z</modification><creation>2025-05-29T22:01:41.043Z</creation></dates><accession>S-EPMC7213856</accession><cross_references><pubmed>32350013</pubmed><doi>10.1136/bmjopen-2019-033941</doi></cross_references></HashMap>