Evidence map›Paper›PMID 27932340›Full record

ArticleBMJ open2016

Is Walk Score associated with hospital admissions from chronic diseases? Evidence from a cross-sectional study in a high socioeconomic status Australian city-state.

Soumya Mazumdar, Vincent Learnihan, Thomas Cochrane, Hai Phung, Bridget O'Connor, Rachel Davey

Abstract read
In one paragraph

Article in BMJ open, 2016. 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.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Article
  10. 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

6 authors.

Soumya MazumdarEpidemiology Group, Healthy People and Places Unit, South West Sydney Local Health District, New South Wales Health, Australia.
Vincent LearnihanThe Centre for Research and Action in Public Health (CeRAPH), Health Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia.
Thomas CochraneThe Centre for Research and Action in Public Health (CeRAPH), Health Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia.
Hai PhungEpidemiology Section, Health Improvement Branch Australian Capital Territory Health Directorate, Canberra, Australian Capital Territory, Australia.
Bridget O'ConnorEpidemiology Section, Health Improvement Branch Australian Capital Territory Health Directorate, Canberra, Australian Capital Territory, Australia.
Rachel DaveyThe Centre for Research and Action in Public Health (CeRAPH), Health Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore patterns of non-communicable diseases (NCDs) in the Australian Capital Territory (ACT).To ascertain the effect of the neighbourhood built environmental features and especially walkability on health outcomes, specifically for hospital admissions from NCDs.

designA cross-sectional analysis of public hospital episode data (2007-2013).

settingHospitalisations from the ACT, Australia at very small geographic areas.

participantsSecondary data on 75 290 unique hospital episodes representing 39 851 patients who were admitted to ACT hospitals from 2007 to 2013. No restrictions on age, sex or ethnicity. MAIN EXPOSURE MEASURES: Geographic Information System derived or compatible measures of general practitioner access, neighbourhood socioeconomic status, alcohol access, exposure to traffic and Walk Score walkability.

main outcome measuresHospitalisations of circulatory diseases, specific endocrine, nutritional and metabolic diseases, respiratory diseases and specific cancers.

resultsGeographic clusters with significant high and low risks of NCDs were found that displayed an overall geographic pattern of high risk in the outlying suburbs of the territory. Significant relationships between neighbourhood walkability as measured by Walk Score and the likelihood of hospitalisation with a primary diagnosis of myocardial infarction (heart attack) were found. A possible relationship was also found with the likelihood of being hospitalised with 4 major lifestyle-related cancers.

conclusionsOur research augments the growing literature underscoring the relationships between the built environment and health outcomes. In addition, it supports the importance of walkable neighbourhoods, as measured by Walk Score, for improved health.

Indexed as

Chronic DiseaseEnvironment DesignHospitalizationMyocardial InfarctionNeoplasmsResidence CharacteristicsWalkingAustraliaCitiesCross-Sectional StudiesFemaleGeographic Information SystemsHealth BehaviorHumansLife StyleMaleAustraliaBuilt Environment and HealthChronic DiseasesGeographical Information SystemsSpatial AnalysisWalkability

Identifiers

PMID27932340
PMCPMC5168632

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LicenceCC BY-NC
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Registered trials

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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.