| Title: | Estimating neighborhood-based mortality risk associated with air pollution: A prospective study |
| Journal: | Journal of Hazardous Materials |
| Published: | 8 Jun 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38870855/ |
| DOI: | https://doi.org/10.1016/j.jhazmat.2024.134861 |
Publication 11892
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Abstract
Effect modification of integrated neighborhood environment on associations of air pollution with mortality remained unclear. We analyzed data from UK biobank prospective study (n = 421,650, median 12.5 years follow-up) to examine disparities of mortality risk associated with air pollution among varied neighborhood settings. Fine particulate matter (PM2.5), PM10 and nitrogen dioxide (NO2) were measured and assigned to each participants' address. Diverse ecological and societal settings of neighborhoods were integrated with principal component analysis and categorized into disadvantaged, intermediate and advantaged levels. We estimated mortality risk associated with air pollution across diverse neighborhoods using Cox regression. We calculated community-level proportions of mortality attributable to air pollutants. There was evidence of higher all-cause and respiratory disease mortality risk associated with PM2.5 and NO2 among those in disadvantaged neighborhoods. In disadvantaged communities, air pollutants explained larger proportions of deaths and such disparities persisted over past decades. Across 2010-2021, reducing PM2.5 and NO2 to 10 μg/m3 (World Health Organization limits) would save 87,000 (52,000-120,000) and 91,000 (37,000-145,000) deaths of populations aged ≥ 40 years, with 150 000 deaths occurred in disadvantaged neighborhood settings. These findings suggested that disadvantaged neighborhoods can exacerbate mortality risk associated with air pollution.</p>
16 Keywords
- Adult
- Aged
- Air Pollutants
- Air Pollution
- Environmental Exposure
- Female
- Humans
- Male
- Middle Aged
- Mortality
- Neighborhood Characteristics
- Nitrogen Dioxide
- Particulate Matter
- Prospective Studies
- Residence Characteristics
- United Kingdom
13 Authors
- Chengzhe Tao
- Zhaoyin Liu
- Yun Fan
- Yiting Yuan
- Xinru Wang
- Ziyan Qiao
- Zhi Li
- Qiaoqiao Xu
- Zhe Lou
- Haowei Wang
- Xiang Li
- Ruiyun Li
- Chuncheng Lu
1 Application
| Application ID | Title |
|---|---|
| 70522 | Application of genetic, environment and lifestyle data to understand causal risk factors of complex metabolic alterations and develop novel prediction model |
Enabling scientific discoveries that improve human health