Evidence map›Paper›PMID 32350013›Full record

ArticleBMJ open2020

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.

Nadja Kartschmit, Robynne Sutcliffe, Mark Patrick Sheldon, Susanne Moebus, Karin Halina Greiser, Saskia Hartwig, Detlef Thürkow, Ulrike Stentzel, Neeltje van den Berg, Kathrin Wolf and 8 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Development of an objectively measured walkability index for the Netherlands.The international journal of behavioral nutrition and physical activity · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Nadja KartschmitInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.ORCID 0000-0002-5756-5542
Robynne SutcliffeCentre for Urban Epidemiology, University Clinics Essen, Essen, Germany.
Mark Patrick SheldonInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Susanne MoebusCentre for Urban Epidemiology, University Clinics Essen, Essen, Germany.
Karin Halina GreiserInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Saskia HartwigInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Detlef ThürkowInstitute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Ulrike StentzelInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Neeltje van den BergInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Kathrin WolfGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Werner MaierGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Annette PetersGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Salman AhmedCentre for Urban Epidemiology, University Clinics Essen, Essen, Germany.
Corinna KöhnkeInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Nordrhein-Westfalen, Germany.
Rafael MikolajczykInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Andreas WienkeInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Alexander KluttigInstitute of Med. Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany alexander.kluttig@uk-halle.de.
Gavin RudgeInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

settingFive different regions and cities of Germany using data from five cohort studies.

participantsFor 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. OUTCOMES: (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.

resultsHigher 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.

conclusionWe found evidence for associations of walking/cycling with walkability measures. Associations for BMI differed across cohorts.

Indexed as

Body Mass IndexEnvironment DesignAgedBicyclingBody HeightBody WeightCitiesCohort StudiesCross-Sectional StudiesFemaleGeographic Information SystemsGermanyHumansMaleMiddle AgedNormal Distributionepidemiologypublic healthsocial medicine

Identifiers

PMID32350013
PMCPMC7213856

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.