Evidence map›Paper›PMID 25230763›Full record

ArticleBMC public health2014

Physical activity patterns in urban neighbourhood parks: insights from a multiple case study.

Gavin R McCormack, Melanie Rock, Kenda Swanson, Lindsay Burton, Alessandro Massolo

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Building-Based Analysis of the Spatial Provision of Urban Parks in Shenzhen, China.International journal of environmental research and public health · 2017
    Article
  10. Neighbourhood built environment characteristics associated with different types of physical activity in Canadian adults.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2017
    Article
  11. Article
  12. Adolescents' ratings of features of parks that encourage park visitation and physical activity.The international journal of behavioral nutrition and physical activity · 2016
    Article
  13. Review
  14. Article
  15. Review
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.

Gavin R McCormackDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive, N,W, Calgary, AB T2N 4Z6, Canada. gmccorma@ucalgary.ca.
Melanie Rock
Kenda Swanson
Lindsay Burton
Alessandro Massolo

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundMany characteristics of urban parks and neighbourhoods have been linked to patterns of physical activity, yet untangling these relationships to promote increased levels of physical activity presents methodological challenges. Based on qualitative and quantitative data, this article describes patterns of activity within urban parks and the socio-demographic characteristics of park visitors. It also accounts for these patterns in relation to the attributes of parks and their surrounding neighbourhoods.

methodsA multiple case study was undertaken that incorporated quantitative and qualitative data derived from first-hand observation in a purposive sample of four urban parks. Quantitative data, based on direct observation of visitors' patterns of use and socio-demographic characteristics, were collected using a structured instrument. Differences in frequencies of observed activities and socio-demographic characteristics of visitors were compared between the four parks. Qualitative data, based on direct observation of park characteristics and patterns of use, were generated through digital photography and analyzed through captioning. Quantitative data on patterns in activity and socio-demographic characteristics were synthesized with the qualitative data on park and usage characteristics.

resultsA comprehensive portrait of each park in the study was generated. Activity types (sedentary, walking, dog-related, cycling, and play), patterns of park use (time of day, day of week), and socio-demographic characteristics (age group, social group) differed between the four parks. Patterns in park use and activity appeared to be associated with socio-demographic characteristics of the surrounding neighbourhoods as well as the physical and social environmental characteristics specific to each park.

conclusionsBoth park and neighbourhood characteristics influence patterns of use and physical activity within parks. The study findings suggest that socio-demographic characteristics of neighbourhoods surrounding parks need be considered in planning, development and management. Engaging local communities could help planners to develop and update urban parks in ways that reflect the needs and characteristics of community residents and, in turn, encourage visits and more physical activity amongst visitors.

Indexed as

Environment DesignExercisePublic FacilitiesResidence CharacteristicsUrban PopulationAdolescentAdultAgedAnimalsBicyclingChildChild, PreschoolDemographyDogsFamily CharacteristicsFemale

Identifiers

PMID25230763
PMCPMC4247115

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.