The impact of PM2.5 on mortality in older adults: evidence from retirement of coal-fired power plants in the United States

Abstract

Background: Evidence of causal relationship between mortality of older adults and low-concentration PM 2.5 remains limited. Objectives: This study investigates the effects of low-concentration PM 2.5 on the mortality of adults older than 65 using the closure of coal-fired power plants in the Eastern United States as a natural experiment. Methods: We investigated power plants in the Eastern United States (US) that had production changes through unit shutdown or plant retirement between 1999 and 2013. We included only non-clustered power plants without scrubbers and with capacities greater than 50 MW. We used instrumental variable (IV) and difference-indifferences (DID) approaches to estimate the causal impact of PM 2.5 concentrations on mortality among Medicare beneficiaries. We compared changes in monthly age-adjusted mortality before and after the retirement of coal-fired plants between the treated and control counties; we accounted for annual wind direction in our selection of treated and control counties. In the models, we initially included only county and monthly fixed effects, and then adjusted for covariates including: 1) only weather variables (temperature, dew point, pressure); and 2) weather variables and socioeconomic variables (median household income and poverty rate). Results: The monthly age-adjusted mortality rate averaged across all plants was approximately 423 per 100,000 (SD = 69) and was higher for males than females. Mean PM 2.5 concentrations across all counties were 12 μg/m 3 (SD = 3.78). Using the IV method, we found that reductions in PM 2.5 concentrations significantly decreased monthly mortality among older adults. IV results show that a 1-μg/m 3 reduction in PM 2.5 concentrations leads to 7.17 fewer deaths per 100,000 per month, or a 1.7% lower monthly mortality rate among people older than 65 years. Using the DID approach, we found that power plant retirement significantly decreased: 1) monthly PM 2.5 levels by 2.1 μg/m 3 , and 2) monthly age-adjusted mortality by approximately 15 people per 100,000 (or 3.6%) in treated counties relative to control counties. The mortality effects were higher among males than females and its impact was the greatest among people older than 75 years. Conclusion: These findings provide evidence of the effectiveness of local, plant-level control measures in reducing near-plant PM 2.5 and mortality among U.S. Medicare beneficiaries.

The influence of PM2.5 exposure on kidney diseases

“…Epidemiological surveys focus on cooking smoke, welding smoke, cigarette smoke, smoke from heating emissions, and traffic exhaust from mobile sources in fixed sources. [5][6][7][8][9][10] The composition of PM 2.5 is very complex and uncertain. The main components include elemental carbon, biological substances, inorganic components, organic components, and trace elements.…”

Designing Retirement Strategies for Coal-Fired Power Plants to Mitigate Air Pollution and Health Impacts

“…[3][4][5] Coal plant retirements in PA provide a potential avenue for mitigating emissions of not only carbon dioxide (CO2), but also criteria air pollutants such as nitrogen oxides (NOx), sulfur dioxide (SO2), and fine particulate matter (PM2.5) 6, 7 . Accordingly, such closures are expected to improve air quality and reduce health damages [8][9][10][11] .…”

“…8,[12][13][14][15][16][17][18] Optimizing coal-fired power plant closures based on climate, cost, or health objectives can lead to substantial variation in both the magnitude and distribution of health benefits. 9,[19][20][21]23 In practice, coal retirement decisions in PA and much of the country are largely based on economic and feasibility considerations and thus unlikely to address long-standing environmental justice concerns. This motivates a need to understand the equity implications of coal plant retirements-in particular, how to better design coal retirements so as to more effectively mitigate disproportionate environmental burdens historically borne by disadvantaged communities.…”