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

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2019-07-02 DOI:10.1186/s12942-019-0179-7
Luis Cereijo, Pedro Gullón, Alba Cebrecos, Usama Bilal, Jose Antonio Santacruz, Hannah Badland, Manuel Franco
{"title":"Access to and availability of exercise facilities in Madrid: an equity perspective.","authors":"Luis Cereijo, Pedro Gullón, Alba Cebrecos, Usama Bilal, Jose Antonio Santacruz, Hannah Badland, Manuel Franco","doi":"10.1186/s12942-019-0179-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Identifying 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.</p><p><strong>Methods: </strong>Area-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.</p><p><strong>Results: </strong>Lower 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.</p><p><strong>Conclusion: </strong>Public 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.</p>","PeriodicalId":48739,"journal":{"name":"International Journal of Health Geographics","volume":"18 1","pages":"15"},"PeriodicalIF":3.0000,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604462/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Health Geographics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12942-019-0179-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Identifying 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.

Methods: Area-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.

Results: Lower 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.

Conclusion: Public 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.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
马德里运动设施的使用和可用性:公平视角。
背景:确定与运动设施的使用和可用性相关的社会经济决定因素是支持城市人口参与体育锻炼的基础,而这反过来又可减少健康方面的不平等。本研究分析了西班牙马德里地区社会经济地位(SES)与运动设施的可及性和可用性之间的关系:方法:使用基于七项社会人口指标的综合指数来衡量地区社会经济地位。运动设施使用谷歌地图进行地理编码,并分为四种类型:公共、私人、低成本和会期。可达性是指从马德里的 125,427 个住宅楼入口(即门户)到最近的运动设施的街道网络距离。可用性定义为每个入口周围 1000 米街道网络缓冲区内的运动设施数量。我们采用了多层次线性回归和零膨胀泊松回归分析来评估地区社会经济水平与运动设施可及性和可用性之间的关系:结果:社会经济地位较低的地区到最近设施的平均距离较短,尤其是公共设施和低成本设施。结论:公共和低成本的运动设施更容易被人们使用:结论:在社会经济地位较低的地区,公共和低成本运动设施距离较近,但与社会经济地位较高的地区相比,这些地区运动设施的总体数量较少。在社会经济地位较低的地区增加运动设施的数量可能是改善健康公平的一项干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
期刊最新文献
Spatial analysis and mapping of malaria risk areas using geospatial technology in the case of Nekemte City, western Ethiopia. Spatial dynamics of Culex quinquefasciatus abundance: geostatistical insights from Harris County, Texas. Light at night exposure and risk of dementia conversion from mild cognitive impairment in a Northern Italy population. Development of an approach to forecast future takeaway outlet growth around schools and population exposure to takeaways in England. Using spatial video and deep learning for automated mapping of ground-level context in relief camps.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1