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Do low-income neighbourhoods have the least green space? A cross-sectional study of Australia’s most populous cities
Open accessAbstract
BACKGROUND: An inequitable distribution of parks and other 'green spaces' could exacerbate health inequalities if people on lower incomes, who are already at greater risk of preventable diseases, have poorer access. METHODS: The availability of green space within 1 kilometre of a Statistical Area 1 (SA1) was linked to data from the 2011 Australian census for Sydney (n = 4.6 M residents); Melbourne (n = 4.2 M); Brisbane (n = 2.2 M); Perth (n = 1.8 M); and Adelaide (n = 1.3 M). Socioeconomic circumstances were measured via the percentage population of each SA1 living on < $21,000 per annum. Negative binomial and logit regression models were used to investigate association between the availability of green space in relation to neighbourhood socioeconomic circumstances, adjusting for city and population density. RESULTS: Green space availability was substantively lower in SA1s with a higher percentage of low income residents (e.g. an incidence rate ratio of 0.82 (95% confidence interval (95% CI) 0.75, 0.89) was observed for SA1s containing ≥20% versus 0-1% low income residents). This association varied between cities (p < 0.001). Adelaide reported the least equitable distribution of green space, with approximately 20% greenery in the most affluent areas versus 12% availability in the least affluent. Although Melbourne had a smaller proportion of SA1s in the top quintile of green space availability (13.8%), the distribution of greenery was the most equitable of all the cities, with only a 0.5% difference in the availability of green space between SA1s containing 0-1% low income households versus those with ≥20%. Inequity of access, however, was reported across all cities when using logit regression to examine the availability of at least 20% (odds ratio 0.74, 95% CI 0.59, 0.93) or 40% (0.45, 0.29, 0.69) green space availability in the more disadvantaged versus affluent neighbourhoods. CONCLUSION: Affirmative action on green space planning is required to redress the socioeconomic inequity of access to this important public health resource.
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“This may be particularly important for children and adolescents from low socioeconomic backgrounds, who typically engage in greater amounts of ST [48–51] and are also less likely to live in green neighbourhoods [52].”
From Psychological impacts of “screen time” and “green time” for children and adolescents: A systematic scoping review (2020) · cites this paper as [52]
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Metadata
- Authors
- Astell-Burt, T., Feng, X., Mavoa, S., Badland, H. M., & Giles-Corti, B.
- Affiliations
- Western Sydney University (AU)
- The University of Melbourne (AU)
- Venue
- BMC Public Health
- Published
- 2014-03-31
- Volume
- 14
- Issue
- 1
- Pages
- 292-292
- ISSN
- 1471-2458 (ISSN-L)
- PMC
- PMC4005631
- OpenAlex
- W2149511701
- Cited by
- 351
- References
- 67
- Citations by year
- 2026: 19 · 2025: 42 · 2024: 55 · 2023: 43 · 2022: 40 · 2021: 53 · 2020: 31 · 2019: 19 · 2018: 16 · 2017: 18 · 2016: 8 · 2015: 6 · 2014: 1
- FWCI
- 7.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Research Online (University of Wollongong) (submittedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, cc-by)
- Funders
- National Heart Foundation of Australia
- National Health and Medical Research Council (1004900)
- Topics
- Social Sciences › Urban Studies › Urban Green Space and Health
- Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- green spaces, parks, low-income neighbourhoods, green space accessibility, health disparities, urban vegetation, green space planning, Australian cities, population density
- MeSH terms
- Australia, Cities, Cross-Sectional Studies, Environment Design, Plants, Poverty Areas, Residence Characteristics, Socioeconomic Factors, Urban Population, Logistic Models
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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