Evidence map›Paper›PMID 29202849›Full record

Observational studyThe international journal of behavioral nutrition and physical activity2017

Designing healthy communities: creating evidence on metrics for built environment features associated with walkable neighbourhood activity centres.

Lucy Dubrelle Gunn, Suzanne Mavoa, Claire Boulangé, Paula Hooper, Anne Kavanagh, Billie Giles-Corti

Abstract readObservational Study
In one paragraph

Observational study in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

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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

6 authors.

Lucy Dubrelle GunnHealthy Liveable Cities Group, Centre for Urban Research, College for Design and Social Context, Royal Melbourne Institute of Technology, Melbourne, Victoria, 3010, Australia. lucy.gunn@rmit.edu.au.
Suzanne MavoaNoncommunicable Disease Unit, Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Claire BoulangéHealthy Liveable Cities Group, Centre for Urban Research, College for Design and Social Context, Royal Melbourne Institute of Technology, Melbourne, Victoria, 3010, Australia.
Paula HooperCentre for the Built Environment and Health, School of Earth and Environment and School of Sports Science, Exercise & Health, University of Western Australia, Perth, Western Australia, Australia.
Anne KavanaghGender and Women's Health Unit, Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Billie Giles-CortiHealthy Liveable Cities Group, Centre for Urban Research, College for Design and Social Context, Royal Melbourne Institute of Technology, Melbourne, Victoria, 3010, Australia.

Funding

National Health and Medical Research Council 1061404National Health and Medical Research Council (AU) 1061404National Health and Medical Research Council (AU) 1107672North & West Metropolitan Region Victorian Department of Health North & West Metropolitan Region Victorian Department of HealthThe Australian Prevention Partnership Centre 9100001The University of Melbourne The University of Melbourne International Research Scholarship
6 · The paper itself

Abstract

backgroundEvidence-based metrics are needed to inform urban policy to create healthy walkable communities. Most active living research has developed metrics of the environment around residential addresses, ignoring other important walking locations. Therefore, this study examined: metrics for built environment features surrounding local shopping centres, (known in Melbourne, Australia as neighbourhood activity centres (NACs) which are typically anchored by a supermarket); the association between NACs and transport walking; and, policy compliance for supermarket provision.

methodsIn this observational study, cluster analysis was used to categorize 534 NACs in Melbourne, Australia by their built environment features. The NACS were linked to eligible Victorian Integrated Survey of Travel Activity 2009-2010 (VISTA) survey participants (n=19,984). Adjusted multilevel logistic regressions estimated associations between each cluster typology and two outcomes of daily walking: any transport walking; and, any 'neighbourhood' transport walking. Distance between residential dwellings and closest NAC was assessed to evaluate compliance with local planning policy on supermarket locations.

resultsMetrics for 19 built environment features were estimated and three NAC clusters associated with walkability were identified. NACs with significantly higher street connectivity (mean:161, SD:20), destination diversity (mean:16, SD:0.4); and net residential density (mean:77, SD:65) were interpreted as being 'highly walkable' when compared with 'low walkable' NACs, which had lower street connectivity (mean:57, SD:15); destination diversity (mean:11, SD:3); and net residential density (mean:10, SD:3). The odds of any daily transport walking was 5.85 times higher (95% CI: 4.22, 8.11), and for any 'neighborhood' transport walking 8.66 (95% CI: 5.89, 12.72) times higher, for residents whose closest NAC was highly walkable compared with those living near low walkable NACs. Only highly walkable NACs met the policy requirement that residents live within 1km of a local supermarket.

conclusionsBuilt environment features surrounding NACs must reach certain levels to encourage walking and deliver walkable communities. Research and metrics about the type and quantity of built environment features around both walking trip origins and destinations is needed to inform urban planning policies and urban design guidelines.

Indexed as

Environment DesignHealth PromotionResidence CharacteristicsWalkingAdultAustraliaCluster AnalysisCross-Sectional StudiesFemaleHealth BehaviorHealth PolicyHealth SurveysHumansMaleMiddle AgedPublic HealthBuilt environmentCluster analysisGeographic information systemsLand use mixNeighbourhood activity/town centrePlanning policyTransport walkingUrban design

Identifiers

PMID29202849
PMCPMC5716232

What OpenQuestion holds

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LicenceCC BY
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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.