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Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States
BACKGROUND: Mounting evidence has shown that long-term exposure to fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])] and ozone ([Formula: see text]) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713651/ https://www.ncbi.nlm.nih.gov/pubmed/34962424 http://dx.doi.org/10.1289/EHP9044 |
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author | Qian, Yaoyao Li, Haomin Rosenberg, Andrew Li, Qiulun Sarnat, Jeremy Papatheodorou, Stefania Schwartz, Joel Liang, Donghai Liu, Yang Liu, Pengfei Shi, Liuhua |
author_facet | Qian, Yaoyao Li, Haomin Rosenberg, Andrew Li, Qiulun Sarnat, Jeremy Papatheodorou, Stefania Schwartz, Joel Liang, Donghai Liu, Yang Liu, Pengfei Shi, Liuhua |
author_sort | Qian, Yaoyao |
collection | PubMed |
description | BACKGROUND: Mounting evidence has shown that long-term exposure to fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])] and ozone ([Formula: see text]) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide ([Formula: see text]) are less clear, in particular the evidence is scarce for [Formula: see text] at low levels that are below the current international guidelines. METHODS: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged [Formula: see text] , [Formula: see text]) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level [Formula: see text] , that is, with annual means below the current World Health Organization guidelines (i.e., [Formula: see text]). We applied previously estimated spatially and temporally resolved [Formula: see text] concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level [Formula: see text] and all-cause mortality, adjusting for potential confounders. RESULTS: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level [Formula: see text] over the study period. We observed an association between long-term exposure to low-level [Formula: see text] and all-cause mortality, with a [Formula: see text] 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a [Formula: see text] 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for [Formula: see text] and [Formula: see text]), per [Formula: see text] increase in annual [Formula: see text] concentrations. The penalized spline indicates a linear exposure–response relationship across the entire [Formula: see text] exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term [Formula: see text] exposure. CONCLUSION: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to [Formula: see text] , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of [Formula: see text] and [Formula: see text] exposure. Improving air quality by reducing [Formula: see text] emissions, therefore, may yield significant health benefits. https://doi.org/10.1289/EHP9044 |
format | Online Article Text |
id | pubmed-8713651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-87136512021-12-29 Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States Qian, Yaoyao Li, Haomin Rosenberg, Andrew Li, Qiulun Sarnat, Jeremy Papatheodorou, Stefania Schwartz, Joel Liang, Donghai Liu, Yang Liu, Pengfei Shi, Liuhua Environ Health Perspect Research BACKGROUND: Mounting evidence has shown that long-term exposure to fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])] and ozone ([Formula: see text]) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide ([Formula: see text]) are less clear, in particular the evidence is scarce for [Formula: see text] at low levels that are below the current international guidelines. METHODS: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged [Formula: see text] , [Formula: see text]) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level [Formula: see text] , that is, with annual means below the current World Health Organization guidelines (i.e., [Formula: see text]). We applied previously estimated spatially and temporally resolved [Formula: see text] concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level [Formula: see text] and all-cause mortality, adjusting for potential confounders. RESULTS: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level [Formula: see text] over the study period. We observed an association between long-term exposure to low-level [Formula: see text] and all-cause mortality, with a [Formula: see text] 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a [Formula: see text] 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for [Formula: see text] and [Formula: see text]), per [Formula: see text] increase in annual [Formula: see text] concentrations. The penalized spline indicates a linear exposure–response relationship across the entire [Formula: see text] exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term [Formula: see text] exposure. CONCLUSION: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to [Formula: see text] , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of [Formula: see text] and [Formula: see text] exposure. Improving air quality by reducing [Formula: see text] emissions, therefore, may yield significant health benefits. https://doi.org/10.1289/EHP9044 Environmental Health Perspectives 2021-12-28 /pmc/articles/PMC8713651/ /pubmed/34962424 http://dx.doi.org/10.1289/EHP9044 Text en https://ehp.niehs.nih.gov/about-ehp/licenseEHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Qian, Yaoyao Li, Haomin Rosenberg, Andrew Li, Qiulun Sarnat, Jeremy Papatheodorou, Stefania Schwartz, Joel Liang, Donghai Liu, Yang Liu, Pengfei Shi, Liuhua Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title | Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title_full | Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title_fullStr | Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title_full_unstemmed | Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title_short | Long-Term Exposure to Low-Level [Formula: see text] and Mortality among the Elderly Population in the Southeastern United States |
title_sort | long-term exposure to low-level [formula: see text] and mortality among the elderly population in the southeastern united states |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713651/ https://www.ncbi.nlm.nih.gov/pubmed/34962424 http://dx.doi.org/10.1289/EHP9044 |
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