Quantifying Area-Level Physical Activity Offerings in Social Context: A Novel Concept That Goes Beyond Walkability and Access to Open Spaces

被引:0
作者
Merom, Dafna [1 ]
Meehan, Drew [1 ]
Phongsavan, Philayrath [2 ]
Gudes, Ori [3 ]
机构
[1] Western Sydney Univ, Sch Hlth Sci, Penrith, NSW, Australia
[2] Univ Sydney, Fac Med & Hlth, Sydney Sch Publ Hlth, Sydney, NSW, Australia
[3] Univ New South Wales, Fac Med, Sch Populat Hlth, Sydney, NSW, Australia
关键词
social environment; index; GIS; cross-sectional; councils; RISK-TAKING; PLAY; DETERMINANTS; FATHERS; ENVIRONMENT; GUIDELINES; CHILDREN; INJURY; ADULTS;
D O I
10.1123/jpah.2024-0110
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Social support is a crucial factor in fl uencing the sustainability of physical activity (PA). This proof-of-concept study presents the development of a Social Physical Activity Index for Area (SPAIFA) an indicator reflecting opportunities for individuals to actively participate as part of a group within which opportunities for social interaction can be developed. Methods: Six government councils in the state of New South Wales, Australia, were selected encompassing 174 suburbs. Using 2 search engines ' map tools, we identi fi ed PA venues for each suburb (eg, park, studios, etc). To enumerate activities per suburb, we used (1) venue websites, (2) New South Wales Office of Sport website, (3) national websites of grassroots PA for nonorganized activity (eg, parkrun , meetup, etc), and (4) social media. The database was linked to the suburb demographic pro fi le, the area disadvantage score, walkability and open space scores, and the proportion of insuf fi ciently active residents. Spatial analysis techniques were used to identify SPAIFA clusters. Results: SPAIFA councils ' average was 9.9 activities per 10,000 people (ranging from 6.6/10,000 to 16.2/10,000). SPAIFA-Old (ie, activities speci fi c to older adults) varied signi fi cantly (ranging from 11.7/10,000 to 0.8/10,000 seniors). Disadvantaged areas and a high proportion of insuf fi ciently active residents were associated with being classi fi ed as low SPAIFA ( P < .01). Three clusters of low SPAIFA were identi fi ed, and 17 high -risk areas where low SPAIFA was compounded by poor environmental support. Conclusions: SPAIFA can be used by councils and policymakers as an indicator for monitoring and intervening in areas where natural and/or urban design is not conducive for PA.
引用
收藏
页码:350 / 356
页数:7
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