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Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation
In highly urbanized areas, urban green spaces (UGSs) are important natural and cultural entities. Previous studies have shown some evidence of positive relationships between UGSs and human health. Most of these studies relied on self-reported health data and often used institutional quantitative mea...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246508/ https://www.ncbi.nlm.nih.gov/pubmed/32384743 http://dx.doi.org/10.3390/ijerph17093227 |
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author | Yeh, Chia-Tsung Cheng, Ya-Yun Liu, Tsai-Yun |
author_facet | Yeh, Chia-Tsung Cheng, Ya-Yun Liu, Tsai-Yun |
author_sort | Yeh, Chia-Tsung |
collection | PubMed |
description | In highly urbanized areas, urban green spaces (UGSs) are important natural and cultural entities. Previous studies have shown some evidence of positive relationships between UGSs and human health. Most of these studies relied on self-reported health data and often used institutional quantitative measures of UGSs instead of the spatial characteristics of UGSs. This study analyzed the relationships between the spatial characteristics of UGSs and morbidity of diseases, which were considered variables of human health in the Taipei Metro. The Longitudinal Health Insurance Database of Taiwan was applied as the source of morbidity of diseases. A canonical correlation analysis was performed by using the six variables of spatial characteristics of UGSs as predictors and three variables of morbidity as criterion variables to evaluate the multivariate shared relationships between the two variable sets. The results found a strong canonical correlation between the spatial characteristics of UGSs and human health. Furthermore, the results revealed that living in districts with a higher area percentage of green spaces and denser vegetation cover, as well as exposure to more aggregative and irregular-shape green spaces, can reduce the morbidity of diseases. |
format | Online Article Text |
id | pubmed-7246508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72465082020-06-11 Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation Yeh, Chia-Tsung Cheng, Ya-Yun Liu, Tsai-Yun Int J Environ Res Public Health Article In highly urbanized areas, urban green spaces (UGSs) are important natural and cultural entities. Previous studies have shown some evidence of positive relationships between UGSs and human health. Most of these studies relied on self-reported health data and often used institutional quantitative measures of UGSs instead of the spatial characteristics of UGSs. This study analyzed the relationships between the spatial characteristics of UGSs and morbidity of diseases, which were considered variables of human health in the Taipei Metro. The Longitudinal Health Insurance Database of Taiwan was applied as the source of morbidity of diseases. A canonical correlation analysis was performed by using the six variables of spatial characteristics of UGSs as predictors and three variables of morbidity as criterion variables to evaluate the multivariate shared relationships between the two variable sets. The results found a strong canonical correlation between the spatial characteristics of UGSs and human health. Furthermore, the results revealed that living in districts with a higher area percentage of green spaces and denser vegetation cover, as well as exposure to more aggregative and irregular-shape green spaces, can reduce the morbidity of diseases. MDPI 2020-05-06 2020-05 /pmc/articles/PMC7246508/ /pubmed/32384743 http://dx.doi.org/10.3390/ijerph17093227 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yeh, Chia-Tsung Cheng, Ya-Yun Liu, Tsai-Yun Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title | Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title_full | Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title_fullStr | Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title_full_unstemmed | Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title_short | Spatial Characteristics of Urban Green Spaces and Human Health: An Exploratory Analysis of Canonical Correlation |
title_sort | spatial characteristics of urban green spaces and human health: an exploratory analysis of canonical correlation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246508/ https://www.ncbi.nlm.nih.gov/pubmed/32384743 http://dx.doi.org/10.3390/ijerph17093227 |
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