归一化差异植被指数
中国
人口学
混淆
置信区间
空气污染
地理
环境卫生
环境科学
医学
生态学
统计
气候变化
数学
生物
社会学
考古
作者
Congcong Li,Zhicheng Du,Shujun Fan,Matthew H.E.M. Browning,Luke D. Knibbs,Michael S. Bloom,Tianyu Zhao,Bin Jalaludin,Joachim Heinrich,Xiaoxuan Liu,Jiaxin Li,Yidan Zhang,Li-Xin Hu,Mingdeng Xiang,Gongbo Chen,Qing Wang,Chunlei Han,Shanshan Li,Yuming Guo,Payam Dadvand
标识
DOI:10.1016/j.scitotenv.2023.164023
摘要
Effects of green space on human health have been well-documented in western, high-income countries. Evidence for similar effects in China is limited. Moreover, the underlying mechanisms linking green space and mortality are yet to be established. We therefore conducted a nation-wide study to assess the association between green space and mortality in China using a difference-in-difference approach, which applied a causal framework and well controlled unmeasured confounding. In addition, we explored whether air pollution and air temperature could mediate the association.In this analysis, we collected data on all-cause mortality and sociodemographic characteristics for each county in China from the 2000 and 2010 censuses and the 2020 Statistical Yearbook. Green space exposure was assessed using county-level normalized difference vegetation index (NDVI) and the percentage of green space (forest, grasslands, shrub land and wetland). We applied a difference-in-differences approach to evaluate the association between green space and mortality. We also performed mediation analysis (by air pollution and air temperature).Our sample consisted of 2726 counties in 2000 and 2010 as well as 1432 counties in 2019. In the 2000 versus 2019 comparison, a 0.1 unit increase in NDVI was associated with a 2.4 % reduction in mortality [95 % confidence interval (CI) 0.4-4.3 %], and a 10 % increase in percentage of green space was associated with a 4.7 % reduction (95 % CI 0-9.2 %) in mortality. PM2.5 and air temperature mediated 0.3 % to 12.3 % of the associations.Living in greener counties may be associated with lower risk of mortality in China. These findings could indicate the potential of a population-level intervention to reduce mortality in China, which has important public health implications at the county level.
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