用新的环境质量健康指数确定澳大利亚的健康居住地

IF 10.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Shuang Zhou , Zhihu Xu , Wenzhong Huang, Yao Wu, Rongbin Xu, Zhengyu Yang, Pei Yu, Wenhua Yu, Tingting Ye, Bo Wen, Shanshan Li, Yuming Guo
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引用次数: 0

摘要

现有的环境质量指数往往不能考虑到不同接触对健康的不同影响,也不包括社会经济地位指标。目的开发和验证综合环境质量健康指数(EQHI),该指数综合了多种环境暴露和SES,以评估澳大利亚各地的死亡风险。方法结合2180个二级统计区2016-2019年的全因死亡率、心血管死亡率和呼吸死亡率数据,以及PM2.5、臭氧、温度、湿度、归一化植被指数、夜间光照、道路和建筑密度以及社会经济状况等12种环境暴露的年平均值。使用空间年龄-时期-队列模型估计暴露-死亡率关系,并构建EQHIs(得分为0-100,数值越高表明条件越好)。使用K-fold交叉验证和空间回归模型进行验证。结果eqhi -全因、EQHI-CVD和EQHI-Resp模型的r平方 = 83.53 %、75.55 %和52.44 %,验证结果良好。eqhi -全因死亡率每增加四分位数,全因死亡率风险降低10% %,心血管和呼吸系统死亡率也有类似的降低。从地理上看,东部、南部和东南部沿海地区EQHIs较高。从2016年到2019年,EQHI最高的SA2s (>75)从27.1 %下降到21.1 %。人口加权EQHI在霍巴特最高,在达尔文最低。据我们所知,我们建立了第一个使用三种类型的死亡率数据和12个环境因素来量化和传达环境健康风险的工具。环境卫生健康倡议为评估环境卫生风险和指导有针对性的干预措施提供了强有力的框架。我们的方法可以在全球范围内进行调整,使风险评估标准化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying the healthy places to live in Australia with a new environmental quality health index

Background

Existing environmental quality indices often fail to account for the varying health impacts of different exposures and exclude socio-economic status indicators (SES).

Objectives

To develop and validate a comprehensive Environmental Quality Health Index (EQHI) that integrates multiple environmental exposures and SES to assess mortality risks across Australia.

Methods

We combined all-cause, cardiovascular, and respiratory mortality data (2016–2019) from 2,180 Statistical Areas Level 2 with annual mean values of 12 environmental exposures, including PM2.5, ozone, temperature, humidity, normalized difference vegetation index, night light, road and building density, and socioeconomic status. Exposure-mortality relationships were estimated using a spatial age-period-cohort model, and EQHIs (scored 0–100, with higher values indicating better conditions) were constructed. Validation was performed using K-fold cross-validation and spatial regression models.

Results

Validation showed strong model performance (R-squared = 83.53 %, 75.55 %, and 52.44 % for EQHI-all cause, EQHI-CVD, and EQHI-Resp). Each interquartile increase in EQHI-all cause reduced all-cause mortality risk by 10 %, with similar reductions for cardiovascular and respiratory mortality. Geographically, EQHIs were higher in south, east, and southeast coastal regions. From 2016 to 2019, SA2s with the highest EQHI (>75) decreased from 27.1 % to 21.1 %. The population weighted EQHI was highest in Hobart and lowest in Darwin.

Conclusions

We established, to our knowledge, the first tool to quantify and communicate environmental health risks using three types of mortality data and 12 environmental factors. This EQHI provides a robust framework to assess environmental health risks and guide targeted interventions. Our methodology can be adapted globally to standardize risk evaluation.
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来源期刊
Environment International
Environment International 环境科学-环境科学
CiteScore
21.90
自引率
3.40%
发文量
734
审稿时长
2.8 months
期刊介绍: Environmental Health publishes manuscripts focusing on critical aspects of environmental and occupational medicine, including studies in toxicology and epidemiology, to illuminate the human health implications of exposure to environmental hazards. The journal adopts an open-access model and practices open peer review. It caters to scientists and practitioners across all environmental science domains, directly or indirectly impacting human health and well-being. With a commitment to enhancing the prevention of environmentally-related health risks, Environmental Health serves as a public health journal for the community and scientists engaged in matters of public health significance concerning the environment.
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