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Tainted Earth
Smelting is an industrial process involving the extraction of metal from ore. During this process, impurities in ore-including arsenic, lead, and cadmium-may be released from smoke stacks, contaminating air, water, and soil with toxic-heavy metals.
The problem of public health harm from smelter emissions received little official attention for much for the twentieth century. Though people living near smelters periodically complained that their health was impaired by both sulfur dioxide and heavy metals, for much of the century there was strong deference to industry claims that smelter operations were a nuisance and not a serious threat to health. It was only when the majority of children living near the El Paso, Texas, smelter were discovered to be lead-exposed in the early 1970s that systematic, independent investigation of exposure to heavy metals in smelting communities began. Following El Paso, an even more serious led poisoning epidemic was discovered around the Bunker Hill smelter in northern Idaho. In Tacoma, Washington, a copper smelter exposed children to arsenic-a carcinogenic threat.
Thoroughly grounded in extensive archival research,Tainted Earthtraces the rise of public health concerns about nonferrous smelting in the western United States, focusing on three major facilities: Tacoma, Washington; El Paso, Texas; and Bunker Hill, Idaho. Marianne Sullivan documents the response from community residents, public health scientists, the industry, and the government to pollution from smelters as well as the long road to protecting public health and the environment. Placing the environmental and public health aspects of smelting in historical context, the book connects local incidents to national stories on the regulation of airborne toxic metals.
The nonferrous smelting industry has left a toxic legacy in the United States and around the world. Unless these toxic metals are cleaned up, they will persist in the environment and may sicken people-children in particular-for generations to come. The twentieth-century struggle to control smelter pollution shares many similarities with public health battles with such industries as tobacco and asbestos where industry supported science created doubt about harm, and reluctant government regulators did not take decisive action to protect the public's health.
eBook
Individual and Neighborhood Stressors, Air Pollution and Cardiovascular Disease
Psychosocial and environmental stress exposures across the life course have been shown to be relevant in the development of cardiovascular disease (CVD). Assessing more than one stressor from different domains (e.g., individual and neighborhood) and across the life course moves us towards a more integrated picture of how stress affects health and well-being. Furthermore, these individual and neighborhood psychosocial stressors act on biologic pathways, including immune function and inflammatory response, which are also impacted by ubiquitous environmental exposures such as air pollution. The objective of this study is to evaluate the interaction between psychosocial stressors, at both the individual and neighborhood level, and air pollution on CVD. This study used data from the 2009–2011 Behavioral Risk Factor Surveillance System (BRFSS) from Washington State. Adverse childhood experiences (ACEs) measured at the individual level, and neighborhood deprivation index (NDI) measured at the zip code level, were the psychosocial stressors of interest. Exposures to three air pollutants—particulate matter (both PM2.5 and PM10) and nitrogen dioxide (NO2)—were also calculated at the zip code level. Outcome measures included several self-reported CVD-related health conditions. Both multiplicative and additive interaction quantified using the relative excess risk due to interaction (RERI), were evaluated. This study included 32,151 participants in 502 unique zip codes. Multiplicative and positive additive interactions were observed between ACEs and PM10 for diabetes, in models adjusted for NDI. The prevalence of diabetes was 1.58 (95% CI: 1.40, 1.79) times higher among those with both high ACEs and high PM10 compared to those with low ACEs and low PM10 (p-value = 0.04 for interaction on the multiplicative scale). Interaction was also observed between neighborhood-level stressors (NDI) and air pollution (NO2) for the stroke and diabetes outcomes on both multiplicative and additive scales. Modest interaction was observed between NDI and air pollution, supporting prior literature on the importance of neighborhood-level stressors in cardiovascular health and reinforcing the importance of NDI on air pollution health effects. ACEs may exert health effects through selection into disadvantaged neighborhoods and more work is needed to understand the accumulation of risk in multiple domains across the life course.
Journal Article
Ambient Carbon Monoxide and Fine Particulate Matter in Relation to Preeclampsia and Preterm Delivery in Western Washington State
Background: Pteterm delivery and preeclampsia are common adverse pregnancy outcomes that have been incoasfctentiy associated with ambient air pollutant exposures, Objective: We aimed to prospectively examine relations between exposures to ambient carbon monoxide (CO) and fine particulate matter [≤ 2.5 μm in aerodynamic diameter (PM2.5)] and risks of preeclampsia and preterm delivery. Methods: We used data from 3,509 western Washington women who delivered infants between 1996 and 2006. We predicted ambient CO and PM2.5 exposures using regression models based on regional air pollutant monitoring data. Models contained predictor terms for year, month, weather, and land use characteristics. We evaluated several exposure windows, including prepregnancy, early pregnancy, the first two trimesters, the last 3 months of pregnancy. Outcomes were identified using abstracted maternal medical record data. Covariate information was obtained from maternal interviews. Results: Predicted periconceptional CO exposure was significantly associated with preeclampsia after adjustment for maternal characteristics and and season of conception [adjusted odd ratio (OR)per 0.1 ppm = 1.07; 95% confidence interval (CI), 1.02-1.13]. However, further adjustment for year of conception essentially nidified the association (adjusted OR = 0.98; 95% CI, 0.91-1.06). Associations between PM2.5 and preeclampsia were nonsignificant and weaker than associations estimated for CO, and neither air pollutant was strongly associated with preterm delivery. Patterns were similar across all exposure windows. Conclusions: Because both CO concentrations and preeclampsia incidence declined during the study period, secular changes hi another preeclampsia risk factor may explain tfce association observed here. We saw little evidence of other associations with preeclampsia or preterm delivery in this setting.
Journal Article
Pulmonary Effects of Indoor- and Outdoor-Generated Particles in Children with Asthma
Most particulate matter (PM) health effects studies use outdoor (ambient) PM as a surrogate for personal exposure. However, people spend most of their time indoors exposed to a combination of indoor-generated particles and ambient particles that have infiltrated. Thus, it is important to investigate the differential health effects of indoor- and ambient-generated particles. We combined our recently adapted recursive model and a predictive model for estimating infiltration efficiency to separate personal exposure (E) to PM2.5(PM with aerodynamic diameter ≤ 2.5 μm) into its indoor-generated (Eig) and ambient-generated (Eag) components for 19 children with asthma. We then compared Eigand Eagto changes in exhaled nitric oxide (eNO), a marker of airway inflammation. Based on the recursive model with a sample size of eight children, Eagwas marginally associated with increases in eNO [5.6 ppb per 10-μ g/ m3increase in PM2.5; 95% confidence interval (CI), -0.6 to 11.9; p = 0.08]. Eigwas not associated with eNO (-0.19 ppb change per 10 μ g/ m3). Our predictive model allowed us to estimate Eagand Eigfor all 19 children. For those combined estimates, only Eagwas significantly associated with an increase in eNO (Eag: 5.0 ppb per 10-μ g/ m3increase in PM2.5; 95% CI, 0.3 to 9.7; p = 0.04; Eig: 3.3 ppb per 10-μ g/ m3increase in PM2.5; 95% CI, -1.1 to 7.7; p = 0.15). Effects were seen only in children who were not using corticosteroid therapy. We conclude that the ambient-generated component of PM2.5exposure is consistently associated with increases in eNO and the indoor-generated component is less strongly associated with eNO.
Journal Article
Evaluation of PCB sources and releases for identifying priorities to reduce PCBs in Washington State (USA)
Polychlorinated biphenyls (PCBs) are ubiquitously distributed in the environment and produce multiple adverse effects in humans and wildlife. As a result, the purpose of our study was to characterize PCB sources in anthropogenic materials and releases to the environment in Washington State (USA) in order to formulate recommendations to reduce PCB exposures. Methods included review of relevant publications (e.g., open literature, industry studies and reports, federal and state government databases), scaling of PCB sources from national or county estimates to state estimates, and communication with industry associations and private and public utilities. Recognizing high associated uncertainty due to incomplete data, we strived to provide central tendency estimates for PCB sources. In terms of mass (high to low), PCB sources include lamp ballasts, caulk, small capacitors, large capacitors, and transformers. For perspective, these sources (200,000–500,000 kg) overwhelm PCBs estimated to reside in the Puget Sound ecosystem (1500 kg). Annual releases of PCBs to the environment (high to low) are attributed to lamp ballasts (400–1500 kg), inadvertent generation by industrial processes (900 kg), caulk (160 kg), small capacitors (3–150 kg), large capacitors (10–80 kg), pigments and dyes (0.02–31 kg), and transformers (<2 kg). Recommendations to characterize the extent of PCB distribution and decrease exposures include assessment of PCBs in buildings (e.g., schools) and replacement of these materials, development of Best Management Practices (BMPs) to contain PCBs, reduction of inadvertent generation of PCBs in consumer products, expansion of environmental monitoring and public education, and research to identify specific PCB congener profiles in human tissues.
Journal Article
Location, Root Proximity, and Glyphosate-Use History Modulate the Effects of Glyphosate on Fungal Community Networks of Wheat
Glyphosate is the most-used herbicide worldwide and an essential tool for weed control in no-till cropping systems. However, concerns have been raised regarding the long-term effects of glyphosate on soil microbial communities. We examined the impact of repeated glyphosate application on bulk and rhizosphere soil fungal communities of wheat grown in four soils representative of the dryland wheat production region of Eastern Washington, USA. Further, using soils from paired fields, we contrasted the response of fungal communities that had a long history of glyphosate exposure and those that had no known exposure. Soil fungal communities were characterized after three cycles of wheat growth in the greenhouse followed by termination with glyphosate or manual clipping of plants. We found that cropping system, location, year, and root proximity were the primary drivers of fungal community compositions, and that glyphosate had only small impacts on fungal community composition or diversity. However, the taxa that responded to glyphosate applications differed between rhizosphere and bulk soil and between cropping systems. Further, a greater number of fungal OTUs responded to glyphosate in soils with a long history of glyphosate use. Finally, fungal co-occurrence patterns, but not co-occurrence network characteristics, differed substantially between glyphosate-treated and nontreated communities. Results suggest that most fungi influenced by glyphosate are saprophytes that likely feed on dying roots.
Journal Article
Adopting Clean Fuels and Technologies on School Buses. Pollution and Health Impacts in Children
More than 25 million American children breathe polluted air on diesel school buses. Emission reduction policies exist, but the health impacts to individual children have not been evaluated.
Using a natural experiment, we characterized the exposures and health of 275 school bus riders before, during, and after the adoption of clean technologies and fuels between 2005 and 2009. Air pollution was measured during 597 trips on 188 school buses. Repeated measures of exhaled nitric oxide (FeNO), lung function (FEV1, FVC), and absenteeism were also collected monthly (1,768 visits). Mixed-effects models longitudinally related the adoption of diesel oxidation catalysts (DOCs), closed crankcase ventilation systems (CCVs), ultralow-sulfur diesel (ULSD), or biodiesel with exposures and health.
Fine and ultrafine particle concentrations were 10-50% lower on buses using ULSD, DOCs, and/or CCVs. ULSD adoption was also associated with reduced FeNO (-16% [95% confidence interval (CI), -21 to -10%]), greater changes in FVC and FEV1 (0.02 [95% CI, 0.003 to 0.05] and 0.01 [95% CI, -0.006 to 0.03] L/yr, respectively), and lower absenteeism (-8% [95% CI, -16.0 to -0.7%]), with stronger associations among patients with asthma. DOCs, and to a lesser extent CCVs, also were associated with improved FeNO, FVC growth, and absenteeism, but these findings were primarily restricted to patients with persistent asthma and were often sensitive to control for ULSD. No health benefits were noted for biodiesel. Extrapolating to the U.S. population, changed fuel/technologies likely reduced absenteeism by more than 14 million/yr.
National and local diesel policies appear to have reduced children's exposures and improved health.
Journal Article
Children's Exposure to Chlorpyrifos and Parathion in an Agricultural Community in Central Washington State
We measured two diethyl organophosphorus (OP) pesticides-chlorpyrifos and parathion-in residences, and their metabolic by-products, in the urine of children 6 years old or younger in a central Washington State agricultural community. Exposures to two dimethyl OP pesticides (azinphos-methyl and phosmet) in this same population have been reported previously. We categorized children by parental occupation and by household proximity to pesticide-treated farm-land. Median chlorpyrifos house dust concentrations were highest for the 49 applicator homes (0.4 μg/g), followed by the 12 farm-worker homes (0.3 μg/g) and the 14 nonagricultural reference homes (0.1 μg/g), and were statistically different (p < 0.001); we observed a similar pattern for parathion in house dust. Chlorpyrifos was measurable in the house dust of all homes, whereas we found parathion in only 41% of the homes. Twenty-four percent of the urine samples from study children had measurable 3,5,6-trichloro-2-pyridinol (TCPy) concentrations [limits of quantitation (LOQ) = 8 μg/L], and 7% had measurable 4-nitrophenol concentrations (LOQ = 9 μg/L). Child urinary metabolite concentrations did not differ across parental occupational classifications. Homes in close proximity (200 ft/60 m) to pesticide-treated farmland had higher chlorpyrifos (p = 0.01) and parathion (p = 0.014) house dust concentrations than did homes farther away, but this effect was not reflected in the urinary metabolite data. Use of OP pesticides in the garden was associated with an increase in TCPy concentrations in children's urine. Parathion concentrations in house dust decreased 10-fold from 1992 to 1995, consistent with the discontinued use of this product in the region in the early 1990s.
Journal Article
Referent Selection in Case-Crossover Analyses of Acute Health Effects of Air Pollution
The case-crossover design was proposed for the study of a transient effect of an intermittent exposure on the subsequent occurrence of a rare acute-onset disease. This design can be an alternative to Poisson time series regression for studying the health effects of fine particulate matter air pollution. Characteristics of time-series of particulate matter, including longterm time trends, seasonal trends, and short-term autocorrelations, require that referent selection in the case-crossover design be considered carefully and adapted to minimize bias. We performed simulations to evaluate the bias associated with various referent selection strategies for a proposed case-crossover study of associations between particulate matter and primary cardiac arrest. Some a priori reasonable strategies were associated with a relative bias as large as 10%, but for most strategies the relative bias was less than 2% with confidence interval coverage within 1% of the nominal level. We show that referent selection for case-crossover designs raises the same issues as selection of smoothing method for time series analyses. In addition, conditional logistic regression analysis is not strictly valid for some case-crossover designs, introducing further bias.
Journal Article