Suppr超能文献

环境细颗粒物的不平等现象:加拿大社区的时空分析

Inequities in ambient fine particulate matter: A spatiotemporal analysis in Canadian communities.

作者信息

Kirby-McGregor Megan, Chen Chen, Chen Hong, Benmarhnia Tarik, Kaufman Jay S

机构信息

Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada.

Scripps Institution of Oceanography, University of California, San Diego, USA.

出版信息

Sci Total Environ. 2023 Feb 1;858(Pt 1):159766. doi: 10.1016/j.scitotenv.2022.159766. Epub 2022 Oct 26.

Abstract

BACKGROUND

Exposure to fine particulate matter (PM) is associated with adverse health outcomes but communities are not randomly exposed to PM. Previous cross-sectional environmental injustice analyses in Canada found disproportionately higher exposure to PM in low-income populations, visible minorities and immigrants. Beyond static surveillance, it is also important to evaluate how changes in PM exposure over time may differentially impact disadvantaged communities. We examine whether communities with different sociodemographic characteristics benefited equitably from the overall decreases in ambient concentrations of PM from 2001 to 2016 in Canada.

METHODS

We derived census tract level estimates of average annual PM using validated satellite-based estimations of annual average PM concentration surfaces. We investigated how the spatial distribution of PM has evolved over 15 years (2001-2016) by comparing absolute values and rank percentiles of census tract level annual average PM concentrations in 2001 and 2016. Using decennial census data and multivariable linear regression, we determined if sociodemographic characteristics are associated with changes in exposure to PM, accounting for geographic boundary changes between census periods.

RESULTS

Overall, ambient PM concentrations decreased from 2001 (median of 9.1 μg/m) to 2016 (median of 6.4 μg/m), with varying provincial patterns. Across communities, ranked census tract specific PM in 2001 and in 2016 are highly correlated (Spearman's rho = 0.75). We found that, on average and accounting for provincial differences and baseline PM, communities with greater density of aboriginal population, lower education, higher shelter-cost-to-income ratio, unemployment or lower income experienced smaller absolute decreases in PM from 2001 to 2016.

CONCLUSIONS

Identifying sociodemographic groups that benefit least from decreasing exposure to PM highlights the need to consider environmental injustice when designing or revising air pollution policies.

摘要

背景

接触细颗粒物(PM)与不良健康后果相关,但社区并非随机接触PM。加拿大以往的横断面环境不公正分析发现,低收入人群、可见少数群体和移民接触PM的比例过高。除了静态监测外,评估PM暴露随时间的变化如何对弱势社区产生不同影响也很重要。我们研究了具有不同社会人口特征的社区是否从2001年至2016年加拿大环境PM浓度的总体下降中公平受益。

方法

我们使用经过验证的基于卫星的年平均PM浓度表面估计值,得出人口普查区层面的年平均PM估计值。通过比较2001年和2016年人口普查区层面年平均PM浓度的绝对值和排名百分位数,我们研究了15年(2001 - 2016年)间PM的空间分布如何演变。利用十年一次的人口普查数据和多变量线性回归,我们确定社会人口特征是否与PM暴露的变化相关,同时考虑普查期间的地理边界变化。

结果

总体而言,环境PM浓度从2001年(中位数为9.1μg/m)降至2016年(中位数为6.4μg/m),各省情况不同。在各个社区中,2001年和2016年按排名的人口普查区特定PM高度相关(斯皮尔曼相关系数=0.75)。我们发现,平均而言,考虑到省级差异和基线PM,原住民人口密度较高、教育程度较低、住房成本与收入比率较高、失业率较高或收入较低的社区,从2001年到2016年PM的绝对降幅较小。

结论

确定从减少PM暴露中受益最少的社会人口群体,凸显了在设计或修订空气污染政策时考虑环境不公正的必要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验