Evidence map›Paper›PMID 31266518›Full record

ArticleInternational journal of health geographics2019

Access to and availability of exercise facilities in Madrid: an equity perspective.

Luis Cereijo, Pedro Gullón, Alba Cebrecos, Usama Bilal, Jose Antonio Santacruz, Hannah Badland, Manuel Franco

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

21 citing papers in PubMed, 53 citations in OpenAlex.

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  17. Equity Measurement of Public Sports Space in Central Urban Areas Based on Residential Scale Data.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Article
  20. Sustainability-Sport-Physical Activity.International journal of environmental research and public health · 2021
    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

7 authors at 3 institutions in 3 countries.

Luis CereijoSocial and Cardiovascular Epidemiology Research Group, School of Medicine and Health Sciences, University of Alcalá, 28871, Alcalá de Henares, Madrid, Spain.ORCID 0000-0003-2118-3806
Pedro GullónSocial and Cardiovascular Epidemiology Research Group, School of Medicine and Health Sciences, University of Alcalá, 28871, Alcalá de Henares, Madrid, Spain. pedro.gullon@edu.uah.es.ORCID 0000-0002-7641-1514
Alba CebrecosSocial and Cardiovascular Epidemiology Research Group, School of Medicine and Health Sciences, University of Alcalá, 28871, Alcalá de Henares, Madrid, Spain.
Usama BilalUrban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.ORCID 0000-0002-9868-7773
Jose Antonio SantacruzManagement and Sports Training Research Group, School of Medicine and Health Sciences, University of Alcalá, 28871, Alcalá de Henares, Madrid, Spain.ORCID 0000-0003-1733-6195
Hannah BadlandCentre for Urban Research, RMIT University, Melbourne, Australia.ORCID 0000-0002-8936-2715
Manuel FrancoSocial and Cardiovascular Epidemiology Research Group, School of Medicine and Health Sciences, University of Alcalá, 28871, Alcalá de Henares, Madrid, Spain.ORCID 0000-0003-2533-7972
Universidad de Alcalá · ESJohns Hopkins University · USRMIT University · AU

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
NIH HHS DP5 OD026429NIH Office of the Director DP5OD26429
6 · The paper itself

Abstract

backgroundIdentifying socioeconomic determinants that are associated with access to and availability of exercise facilities is fundamental to supporting physical activity engagement in urban populations, which in turn, may reduce health inequities. This study analysed the relationship between area-level socioeconomic status (SES) and access to, and availability of, exercise facilities in Madrid, Spain.

methodsArea-level SES was measured using a composite index based on seven sociodemographic indicators. Exercise facilities were geocoded using Google Maps and classified into four types: public, private, low-cost and sessional. Accessibility was operationalized as the street network distance to the nearest exercise facility from each of the 125,427 residential building entrances (i.e. portals) in Madrid. Availability was defined as the count of exercise facilities in a 1000 m street network buffer around each portal. We used a multilevel linear regression and a zero inflated Poisson regression analyses to assess the association between area-level SES and exercise facility accessibility and availability.

resultsLower SES areas had a lower average distance to the closest facility, especially for public and low-cost facilities. Higher SES areas had higher availability of exercise facilities, especially for private and seasonal facilities.

conclusionPublic and low-cost exercise facilities were more proximate in low SES areas, but the overall number of facilities was lower in these areas compared with higher SES areas. Increasing the number of exercise facilities in lower SES areas may be an intervention to improve health equity.

Indexed as

ExerciseResidence CharacteristicsSocial ClassUrban PopulationHumansSpainSports and Recreational FacilitiesExerciseExercise facilitiesInequitiesSocio-economic statusUrban health

Identifiers

PMID31266518
PMCPMC6604462
OpenAlexW2954050321

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.