2 datasets found
  1. Summary of Poisson regressions of the effect of arsenic concentration (ppm)...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Joseph J. Putila; Nancy Lan Guo (2023). Summary of Poisson regressions of the effect of arsenic concentration (ppm) on county-level lung cancer incidence rates in the U.S. in an unadjusted model and a model adjusted for both smoking and median county income. [Dataset]. http://doi.org/10.1371/journal.pone.0025886.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Joseph J. Putila; Nancy Lan Guo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Summary of Poisson regressions of the effect of arsenic concentration (ppm) on county-level lung cancer incidence rates in the U.S. in an unadjusted model and a model adjusted for both smoking and median county income.

  2. f

    Data from: Ambient PM2.5 Reduces Global and Regional Life Expectancy

    • acs.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 2, 2023
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    Joshua S. Apte; Michael Brauer; Aaron J. Cohen; Majid Ezzati; C. Arden Pope (2023). Ambient PM2.5 Reduces Global and Regional Life Expectancy [Dataset]. http://doi.org/10.1021/acs.estlett.8b00360.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    ACS Publications
    Authors
    Joshua S. Apte; Michael Brauer; Aaron J. Cohen; Majid Ezzati; C. Arden Pope
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Exposure to ambient fine particulate matter (PM2.5) air pollution is a major risk for premature death. Here, we systematically quantify the global impact of PM2.5 on life expectancy. Using data from the Global Burden of Disease project and actuarial standard life table methods, we estimate global and national decrements in life expectancy that can be attributed to ambient PM2.5 for 185 countries. In 2016, PM2.5 exposure reduced average global life expectancy at birth by ∼1 year with reductions of ∼1.2–1.9 years in polluted countries of Asia and Africa. If PM2.5 in all countries met the World Health Organization Air Quality Guideline (10 μg m–3), we estimate life expectancy could increase by a population-weighted median of 0.6 year (interquartile range of 0.2–1.0 year), a benefit of a magnitude similar to that of eradicating lung and breast cancer. Because background disease rates modulate the effect of air pollution on life expectancy, high age-specific rates of cardiovascular disease in many polluted low- and middle-income countries amplify the impact of PM2.5 on survival. Our analysis adds to prior research by illustrating how mortality from air pollution substantially reduces human longevity.

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Share
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Click to copy link
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Joseph J. Putila; Nancy Lan Guo (2023). Summary of Poisson regressions of the effect of arsenic concentration (ppm) on county-level lung cancer incidence rates in the U.S. in an unadjusted model and a model adjusted for both smoking and median county income. [Dataset]. http://doi.org/10.1371/journal.pone.0025886.t001
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Summary of Poisson regressions of the effect of arsenic concentration (ppm) on county-level lung cancer incidence rates in the U.S. in an unadjusted model and a model adjusted for both smoking and median county income.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Joseph J. Putila; Nancy Lan Guo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
United States
Description

Summary of Poisson regressions of the effect of arsenic concentration (ppm) on county-level lung cancer incidence rates in the U.S. in an unadjusted model and a model adjusted for both smoking and median county income.

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