| Title: | The Social and Natural Environment's Impact on SARS-CoV-2 Infections in the UK Biobank |
| Journal: | International Journal of Environmental Research and Public Health |
| Published: | 4 Jan 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35010792/ |
| DOI: | https://doi.org/10.3390/ijerph19010533 |
| URL: | https://www.mdpi.com/1660-4601/19/1/533/pdf?version=1641290742 |
| Citations: | 7 (6 in last 2 years) as of 8 Aug 2024 |
Publication 12623
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Abstract
COVID-19 has caused a global pandemic with considerable impact. Studies have examined the influence of socioeconomic status and air pollution on COVID-19 risk but in low detail. This study seeks to further elucidate the nuances of socioeconomic status, as defined by the Index of Multiple Deprivation (IMD), air pollution, and their relationship. We examined the effect of IMD and air pollution on the likelihood of testing positive for SARS-CoV-2 among 66,732 UKB participants tested for SARS-CoV-2 from 16 March 2020 through 16 March 2021. Logistic regression was performed controlling for age, sex, ancestry and IMD or air pollution in the respective models. IMD and its sub-scores were significantly associated with increased risk of testing positive for SARS-CoV-2. All particulate matter less than 2.5 μm (PM2.5), nitrogen oxide (NOx), and nitrogen dioxide (NO2) levels were associated with increased likelihood of testing positive for SARS-CoV-2. Measures of green space and natural environment around participants' homes were associated with reduced likelihood of SARS-CoV-2. Socioeconomic status and air pollution have independent effects on the risk of testing positive for SARS-CoV-2. Green space and natural environment space in the proximity of people's homes may mediate the effect of air pollution on the risk of testing positive for SARS-CoV-2.</p>
8 Keywords
- Air Pollutants
- Air Pollution
- Biological Specimen Banks
- COVID-19
- Humans
- Particulate Matter
- SARS-CoV-2
- United Kingdom
5 Authors
- Ryan J. Scalsky
- Yi-Ju Chen
- Zhekang Ying
- James A. Perry
- Charles C. Hong
1 Application
| Application ID | Title |
|---|---|
| 49852 | Phenome-wide association study of variants in developmental pathway genes |
Enabling scientific discoveries that improve human health