Assessing the impact of urban greenspace on physical health: An empirical study from Southwest China

IntroductionAs the world becomes increasingly urbanized and human-nature contact declines, urban greenspace's impact on human health has garnered growing interest across academic disciplines. Various definitions and multiple indicators of greenspace have been utilized, with most studies finding...

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Main Authors: Barnabas C. Seyler (Author), Han Luo (Author), Xiuli Wang (Author), Sophia Zuoqiu (Author), Yao Xie (Author), Yuan Wang (Author)
Format: Book
Published: Frontiers Media S.A., 2023-03-01T00:00:00Z.
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100 1 0 |a Barnabas C. Seyler  |e author 
700 1 0 |a Barnabas C. Seyler  |e author 
700 1 0 |a Han Luo  |e author 
700 1 0 |a Han Luo  |e author 
700 1 0 |a Xiuli Wang  |e author 
700 1 0 |a Sophia Zuoqiu  |e author 
700 1 0 |a Yao Xie  |e author 
700 1 0 |a Yao Xie  |e author 
700 1 0 |a Yuan Wang  |e author 
245 0 0 |a Assessing the impact of urban greenspace on physical health: An empirical study from Southwest China 
260 |b Frontiers Media S.A.,   |c 2023-03-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1148582 
520 |a IntroductionAs the world becomes increasingly urbanized and human-nature contact declines, urban greenspace's impact on human health has garnered growing interest across academic disciplines. Various definitions and multiple indicators of greenspace have been utilized, with most studies finding an overall positive association between greenspace and health. Nevertheless, studies directly comparing how different greenspace indicators impact different disease types have been limited. Moreover, to verify the robustness of conclusions drawn, studies should compare multiple measures of greenspace across various spatial scales. Thus, a more comprehensive analysis is necessary to help inform future study design, especially in determining which greenspace indicators would be most useful in data-limited areas.MethodsChengdu, the capital city of Sichuan Province, is West China's largest and most urban city, being typical of other large cities in lower to middle-income countries (LMICs). With twenty county-level jurisdictions spanning various degrees of urbanization, Chengdu's landscape heterogeneity and large population make it ideal for studying greenspace's impact on public health. This study took Chengdu as a case study to assess the association and potential impact of three traditional measures of greenspace (Normalized Difference Vegetation Index, Enhanced Vegetation Index, and Fractional Vegetation Cover) and urban ratio (% of population being urban) on hospitalization rates and medical expenses paid for three major disease categories (circulatory system diseases, neoplasms, and respiratory system diseases).Results and discussionWe found greenspace did have a significant impact on public health, but this relationship differed by disease type. Greenspace exhibited significant positive association with respiratory diseases, but insignificant negative associations with the other disease categories. Urban ratio showed significant negative association with greenspace abundance. The higher the urban ratio (e.g., less greenspace), the more money was paid on medical expenses. This relationship was found not only in terms of urban ratio being positively correlated with medical expenses, but also in that all three greenspace indicators were negatively correlated with medical expenses. Consequently, in future health outcome studies, urban ratio could be an acceptable negative indicator of greenness in LMICs where urban ratio is likely to imply less greenness. 
546 |a EN 
690 |a greenspace indicator 
690 |a hospitalization rate 
690 |a landscape heterogeneity 
690 |a respiratory disease 
690 |a urban ratio 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1148582/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/97d0ab8e0da94e40a6ab8708ca39b509  |z Connect to this object online.