Evidence map›Paper›PMID 25981916›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

Are we developing walkable suburbs through urban planning policy? Identifying the mix of design requirements to optimise walking outcomes from the 'Liveable Neighbourhoods' planning policy in Perth, Western Australia.

Paula Hooper, Matthew Knuiman, Fiona Bull, Evan Jones, Billie Giles-Corti

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Reliability of T-WSI to Evaluate Neighborhoods Walkability and Its Changes over Time.International journal of environmental research and public health · 2020
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Observational
  11. 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

5 authors.

Paula HooperCentre for the Built Environment and Health, School of Earth and Environment and School of Sports Science, Exercise and Health, The University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia. paula.hooper@uwa.edu.au.
Matthew KnuimanSchool of Population Health, The University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia. matthew.knuiman@uwa.edu.au.
Fiona BullCentre for the Built Environment and Health, School of Earth and Environment and School of Sports Science, Exercise and Health, The University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia. fiona.bull@uwa.edu.au.
Evan Jones, Acuitus, Level 1, 322 Hay Street, Subiaco, Perth, WA, 6008, Australia. evan.jones@acuitus.com.au.
Billie Giles-CortiMcCaughey VicHealth Centre for Community Wellbeing, Melbourne School of Population Health, University of Melbourne Australia, Melbourne, VIC, Australia. b.giles-corti@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlanning policy makers and practitioners are requesting clearer guidance on the 'essential' ingredients as assessed by public health researchers to ensure suburban neighbourhood environments are designed to promote active living behaviours such as walking.

objectivesTo identify the combination of design requirements from the 'Liveable Neighbourhoods' (LN) planning policy in Perth, Western Australia that were optimally supportive of walking.

methodsK-means cluster analysis identified groups of developments with homogeneous LN features from its community design (CD), movement network (MN), lot layout (LL) and public parkland (PP) elements. Walking behaviours measured using the Neighbourhood Physical Activity Questionnaire were compared between participants resident in the different clusters, adjusting for demographic characteristics, self-selection factors, stage of construction and scale of development.

resultsCompared with participants living in the referent cluster of 'poor CD and PP developments' those living in: 'MN and LL developments' had higher odds of doing any (OR = 1.74; 95 % CI = 1.22, 2.48) and ≥60 min walking for recreation (WR) (OR = 2.05; 1.46, 2.88); 'PP developments' had increased odds of doing any WR (OR = 3.53; 2.02, 6.17), ≥60 min WR (OR = 3.37; 1.98, 5.74) and any total walking (TW) (OR = 2.35; 1.36, 4.09); 'CD-MN developments' had increased odds of doing any walking for transport (WT) (OR = 2.64; 1.38, 5.06), ≥60 min WT (OR = 1.98; 1.09, 3.61), any TW (OR = 1.71; 1.44, 2.03), ≥60 min TW (OR = 1.77; 1.14, 2.76) and ≥150 min TW (OR = 1.47; 1.15, 1.86).

conclusionsThis study is the first to have empirically identified a mix of specific and distinguishing planning policy neighbourhood design requirements to optimise walking outcomes. These findings will assist in the assessment of urban plans for greenfield suburban developments designed to promote walking and physical activity.

Indexed as

Environment DesignHealth BehaviorResidence CharacteristicsSuburban HealthWalkingFemaleHumansMaleSurveys and QuestionnairesTransportationWestern Australia

Identifiers

PMID25981916
PMCPMC4438522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.