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- Title
Does fast‐food outlet density differ by area‐level disadvantage in metropolitan Perth, Western Australia?
- Authors
Trapp, Gina S. A.; Hooper, Paula; Thornton, Lukar; Kennington, Kelly; Sartori, Ainslie; Billingham, Wesley; Bivoltsis, Alexia
- Abstract
Issue addressed: Socio‐economic spatial patterning of fast‐food outlets can result in disparities in the availability and access of food across geographic areas, contributing to health inequalities. This study investigated whether area‐level socio‐economic disparities exist in fast‐food availability across the Perth metropolitan region of Western Australia. Methods: Fast‐food outlet locations were sourced from Perth Local Governments in 2018/2019. All Perth suburbs (n = 328) were allocated a decile ranking based on the Australian Bureau of Statistics Socio‐Economic Index for Areas with decile 1 indicating relatively greater disadvantage and decile 10 indicating a relative lack of disadvantage. Zero‐inflated negative binomial regression models, adjusted for suburb area and population density, were used to investigate the association between area‐level disadvantage decile and availability of fast‐food outlets. Results: A socio‐economic gradient was identified; for every unit increase in disadvantage decile (ie a reduction in relative disadvantage), the count of fast‐food outlets decreased by 6% (P <.01), and the count of the "top ranking" fast‐food chains (ie McDonalds, KFC, Hungry Jacks and Red Rooster) decreased by 10% (P <.001). Conclusions: Consistent with evidence internationally and from within Australia, socio‐economic spatial patterning of fast‐food outlet availability was shown to exist in Perth, with greater fast‐food availability in areas with more relative socio‐economic disadvantage. So what?: To address health inequities associated with fast‐food consumption, policy and practice changes are needed that manage fast‐food outlet proliferation in areas of greater socio‐economic disadvantage.
- Subjects
PERTH (W.A.); FAST food restaurants; HEALTH equity; POPULATION density; REGRESSION analysis; DENSITY
- Publication
Health Promotion Journal of Australia, 2022, Vol 33, p262
- ISSN
1036-1073
- Publication type
Article
- DOI
10.1002/hpja.597