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• W2912017228 abstract "Although the benefits from exposure to urban green spaces (UGS) are increasingly reported, there are important knowledge gaps in the nature of UGS-health relationships. One such unknown area is the dependence of UGS-health associations on the types of UGS studied, the way they are quantified, and the spatial scale used in the analysis. These knowledge gaps have important ramifications on our ability to develop generalizations to promote implementation and facilitate comparative studies across different socio-cultural and socio-economic contexts. We conducted a study in Singapore to examine the dependence of UGS-health associations on the metrics for quantifying UGS (vegetation cover, canopy cover and park area) in different types of buffer area (circular, nested and network) at different spatial scales. A population-based household survey (n = 1000) was used to collect information on self-reported health and perception and usage pattern of UGS. The results showed that although all three UGS metrics were positively related to mental health at certain scales, overall, canopy cover showed the strongest associations with mental health at most scales. There also appears to be minimum and maximum threshold levels of spatial scale at which UGS and health have significant associations, with the strongest associations consistently shown between 400 m to 1600 m in different buffer types. We discuss the significance of these results for UGS-health studies and applications in UGS planning for improved health of urban dwellers." @default.
• W2912017228 created "2019-02-21" @default.
• W2912017228 creator A5017789490 @default.
• W2912017228 creator A5069553088 @default.
• W2912017228 date "2019-02-16" @default.
• W2912017228 modified "2023-10-05" @default.
• W2912017228 title "Associations between Urban Green Spaces and Health are Dependent on the Analytical Scale and How Urban Green Spaces are Measured" @default.
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• W2912017228 doi "https://doi.org/10.3390/ijerph16040578" @default.
• W2912017228 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6406785" @default.
• W2912017228 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30781534" @default.
• W2912017228 hasPublicationYear "2019" @default.
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