National Cohort Study of Long-Term Exposure to PM2.5 Components and Mortality in Medicare American Older Adults
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National Cohort Study of Long-Term Exposure to PM2.5 Components and Mortality in Medicare American Older Adults. / Hao, Hua; Wang, Yifan; Zhu, Qiao; Zhang, Haisu; Rosenberg, Andrew; Schwartz, Joel; Amini, Heresh; van Donkelaar, Aaron; Martin, Randall; Liu, Pengfei; Weber, Rodney; Russel, Armistead; Yitshak-sade, Maayan; Chang, Howard; Shi, Liuhua.
I: Environmental Science & Technology, Bind 57, Nr. 17, 2023, s. 6835–6843.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - National Cohort Study of Long-Term Exposure to PM2.5 Components and Mortality in Medicare American Older Adults
AU - Hao, Hua
AU - Wang, Yifan
AU - Zhu, Qiao
AU - Zhang, Haisu
AU - Rosenberg, Andrew
AU - Schwartz, Joel
AU - Amini, Heresh
AU - van Donkelaar, Aaron
AU - Martin, Randall
AU - Liu, Pengfei
AU - Weber, Rodney
AU - Russel, Armistead
AU - Yitshak-sade, Maayan
AU - Chang, Howard
AU - Shi, Liuhua
PY - 2023
Y1 - 2023
N2 - There is increasing evidence linking long-term fine particulate matter (PM2.5) exposure to negative health effects. However, the relative influence of each component of PM2.5 on health risk is poorly understood. In a cohort study in the contiguous United States between 2000 and 2017, we examined the effect of long-term exposure to PM2.5 main components and allcause mortality in older adults who had to be at least 65 years old and enrolled in Medicare. We estimated the yearly mean concentrations of six key PM2.5 compounds, including black carbon (BC), organic matter (OM), soil dust (DUST), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+), using two independently sourced well-validated prediction models. We applied Cox proportional hazard models to evaluate the hazard ratios for mortality and penalized splines for assessing potential nonlinear concentration-response associations. Results suggested that increased exposure to PM2.5 mass and its six main constituents were significantly linked to elevated all-cause mortality. All components showed linear concentration-response relationships in the low exposure concentration ranges. Our research indicates that long-term exposure to PM2.5 mass and its essential compounds are strongly connected to increased mortality risk. Reductions of fossil fuel burning may yield significant air quality and public health benefit.
AB - There is increasing evidence linking long-term fine particulate matter (PM2.5) exposure to negative health effects. However, the relative influence of each component of PM2.5 on health risk is poorly understood. In a cohort study in the contiguous United States between 2000 and 2017, we examined the effect of long-term exposure to PM2.5 main components and allcause mortality in older adults who had to be at least 65 years old and enrolled in Medicare. We estimated the yearly mean concentrations of six key PM2.5 compounds, including black carbon (BC), organic matter (OM), soil dust (DUST), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+), using two independently sourced well-validated prediction models. We applied Cox proportional hazard models to evaluate the hazard ratios for mortality and penalized splines for assessing potential nonlinear concentration-response associations. Results suggested that increased exposure to PM2.5 mass and its six main constituents were significantly linked to elevated all-cause mortality. All components showed linear concentration-response relationships in the low exposure concentration ranges. Our research indicates that long-term exposure to PM2.5 mass and its essential compounds are strongly connected to increased mortality risk. Reductions of fossil fuel burning may yield significant air quality and public health benefit.
KW - survival analysis
KW - all-cause mortality
KW - air pollution
KW - PM2
KW - 5 components
KW - PARTICULATE MATTER CONSTITUENTS
KW - AIR-POLLUTION
KW - CARDIOVASCULAR MORTALITY
KW - HEALTH
KW - PARTICLES
KW - FINE
KW - CARBON
KW - ATHEROSCLEROSIS
KW - SULFATE
U2 - 10.1021/acs.est.2c07064
DO - 10.1021/acs.est.2c07064
M3 - Journal article
C2 - 37074132
VL - 57
SP - 6835
EP - 6843
JO - Environmental Science & Technology
JF - Environmental Science & Technology
SN - 0013-936X
IS - 17
ER -
ID: 346199021