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Exposures to industrial chemicals are widespread and can increase the risk of adverse health effects such as cancer, developmental disorders, respiratory effects, diabetes, and reproductive problems. The amended Toxic Substances Control Act (amended TSCA) requires the U.S. Environmental Protection Agency (EPA) to evaluate risks of chemicals in commerce, account for risk to potentially exposed and susceptible populations, and mitigate risks for chemicals determined to pose an unreasonable risk to human health and the environment. This analysis compares EPA's first 10 chemical risk evaluations under amended TSCA to best scientific practices for conducting risk assessments. We find EPA's risk evaluations underestimated human health risks of chemical exposures by excluding conditions of use and exposure pathways; not considering aggregate exposure and cumulative risk; not identifying all potentially exposed or susceptible subpopulations, and not quantifying differences in risk for susceptible groups; not addressing data gaps; and using flawed systematic review approaches to identify and evaluate the relevant evidence. We present specific recommendations for improving the implementation of amended TSCA using the best available science to ensure equitable, socially just safeguards to public health. Failing to remedy these shortcomings will result in continued systematic underestimation of risk for all chemicals evaluated under amended TSCA.

Widespread population exposure to wildland fire smoke underscores the urgent need for new techniques to characterize fire-derived pollution for epidemiologic studies and to build climate-resilient communities especially for aging populations. Using atmospheric chemical transport modeling, we examined air quality with and without wildland fire smoke PM

Wildland fire smoke exposure affects a broad proportion of the U.S. population and is increasing due to climate change, settlement patterns and fire seclusion. Significant public health questions surrounding its effects remain, including the impact on cardiovascular disease and maternal health. Using atmospheric chemical transport modeling, we examined general air quality with and without wildland fire smoke PM2.5. The 24-h average concentration of PM2.5 from all sources in 12-km gridded output from all sources in California (2007&ndash, 2013) was 4.91 &mu, g/m3. The average concentration of fire-PM2.5 in California by year was 1.22 &mu, g/m3 (~25% of total PM2.5). The fire-PM2.5 daily mean was estimated at 4.40 &mu, g/m3 in a high fire year (2008). Based on the model-derived fire-PM2.5 data, 97.4% of California&rsquo, s population lived in a county that experienced at least one episode of high smoke exposure (&ldquo, smokewave&rdquo, ) from 2007&ndash, 2013. Photochemical model predictions of wildfire impacts on daily average PM2.5 carbon (organic and elemental) compared to rural monitors in California compared well for most years but tended to over-estimate wildfire impacts for 2008 (2.0 &micro, g/m3 bias) and 2013 (1.6 &micro, g/m3 bias) while underestimating for 2009 (&minus, 2.1 &micro, g/m3 bias). The modeling system isolated wildfire and PM2.5 from other sources at monitored and unmonitored locations, which is important for understanding population exposure in health studies. Further work is needed to refine model predictions of wildland fire impacts on air quality in order to increase confidence in the model for future assessments. Atmospheric modeling can be a useful tool to assess broad geographic scale exposure for epidemiologic studies and to examine scenario-based health impacts.

Pregnant women are uniquely susceptible to adverse effects of air pollution exposure due to vulnerabilities and health consequences during pregnancy (e.g., hypertensive disorders of pregnancy [HDP]) compared to the general population. Because the Clean Air Act (CAA) creates a duty to protect at-risk groups, the regulatory assessment of at-risk populations has both policy and scientific foundations. Previously, pregnant women have not been specially protected in establishing the margin of safety for the ozone and particulate matter (PM) standards. Due to physiological changes, pregnant women can be at greater risk of adverse effects of air pollution and should be considered an at-risk population. Women with preexisting conditions, women experiencing poverty, and groups that suffer systematic discrimination may be particularly susceptible to cardiac effects of air pollutants during pregnancy. We rigorously reviewed 11 studies of over 1.3 million pregnant women in the United States to characterize the relationship between ozone or PM exposure and HDP. Findings were generally mixed, with a few studies reporting a joint association between ozone or PM and social determinants or pre-existing chronic health conditions related to HDP. Adequate evidence associates exposure to PM with an adverse effect of HDP among pregnant women not evident among non-gravid populations.

Heat stress causes morbidity and mortality and is increasing with climate change. Heat stress can pose particular challenges in northern regions not well adapted to heat. To assist decision makers, we identified the relative vulnerability of census tracts within Michigan to factors that increase exposure to heat stress or reflect susceptibilities in the population based on a California heat vulnerability index. In the MI-Environment assessment, we used a Geographic Information System (GIS) to combine future ensemble climate model projections to create a total of 9 geospatial and demographic variables. As part of a broader planned cumulative environmental exposure assessment, the statewide heat vulnerability index (HVI) maps display the location and relative magnitude of exposure on three metrics: built environment (Place), future expected long-term temperature averages (Temperature), and population susceptibility (People). We observed varied and distinct patterns for each of the three component indices. We assessed how equitably those exposures are distributed by racial and socioeconomic factors. This analysis showed that each of the component indices and the aggregate HVI are disproportionately distributed along racial and socioeconomic lines in Michigan. Census tracts with higher percentages of people of color had larger exposure to HVI factors with a deviation from equity of -0.115 [95% CI -0.108, -0.122]. Similarly, for census tracts with higher percentage of people experiencing poverty, the deviation from equity was -0.101 [95% CI -0.094, -0.107]. The MI-Environment visualization tool can help communities prepare for climate change and resolve inequities by identifying census tracts with the most vulnerable residents and highest potential exposures.

Today’s students need to become specialists in their profession while also recognizing the blinders that specialization brings—they need both disciplinary and meta-disciplinary learning. Today’s universities need to innovate by providing an education responsive to contemporary demands. They also need to show their relevance to the broader publics they serve. This article critically assesses a teaching initiative that brings together existing courses from multiple disciplines working for public-oriented clients to collaborate on closely related problems. The Michigan Engaging Community through the Classroom initiative was designed to enhance students’ learning by making them smarter, more pragmatic, and wiser while simultaneously enhancing the university’s public service. This article assesses the promise and the challenges of such a complex initiative and summarizes preliminary findings from student and community partner evaluations. The initiative has been challenging to implement because of the faculty dedication it requires. Developing robust evaluations of student learning has proven difficult as well. We have found that when student, faculty, and partner expectations are raised but not fulfilled, frustrations run high. When coordination and collaboration align, however, student learning can be enriched and public service enhanced. The article concludes by discussing lessons learned and presenting models of collaboration developed in turn.

This paper presents an evaluation of local efforts to manage Great Lakes coastal shorelands through master plans, focusing on Michigan localities. We framed the analysis around the concepts of capacity, knowledge, and commitment. We conducted plan content evaluations, structured surveys of local officials, and multiple unstructured interviews of local officials and citizens through a participatory action research (PAR) program. We analyzed those data, along with census data, using descriptive statistics, correlations, regression analyses, and triangulation of observations. We found that Michigan’s coastal localities are largely failing to consider their coastal areas in their planning, or to adopt meaningful plan policies to manage them, for at least four reasons: damaging erosion and storm events have been relatively infrequent; localities rely on the state to address coastal issues; insurance programs effectively indemnify them when a storm does happen; and—to some extent—shoreland owners push back against proactive local management. To the extent localities are planning, higher overall plan quality is associated with having in-house planning staff (a measure of both capacity and knowledge) and development pressure (knowledge and commitment). To the extent plans address their coastal areas specifically, the adoption of plan policies advancing coastal area management is associated directly with having higher median house values (capacity), in-house planning staff (capacity and knowledge), and development pressure (knowledge and commitment). Focus on coastal management is inversely associated, however, with the use of planning consultants. Higher plan quality is correlated significantly with the adoption of more robust plan policies overall. In sum, having knowledge about coastal dynamics appears important in explaining local planning efforts, but having the capacity to act on that knowledge and the commitment to do so are equally or more important.

From 1999–2014, obesity prevalence increased among adults and youth. Obese individuals may be uniquely susceptible to the proinflammatory effects of ozone because obese humans and animals have been shown to experience a greater decline in lung function than normal-weight subjects. Obesity is independently associated with limitations in lung mechanics with increased ozone dose. However, few epidemiologic studies have examined the interaction between excess weight and ozone exposure among adults. Using PubMed keyword searches and reference lists, we reviewed epidemiologic evidence to identify potential response-modifying factors and determine if obese or overweight adults are at increased risk of ozone-related health effects. We initially identified 170 studies, of which seven studies met the criteria of examining the interaction of excess weight and ozone exposure on cardiopulmonary outcomes in adults, including four short-term ozone exposure studies in controlled laboratory settings and three community epidemiologic studies. In the studies identified, obesity was associated with decreased lung function and increased inflammatory mediators. Results were inconclusive about the effect modification when data were stratified by sex. Obese and overweight populations should be considered as candidate at-risk groups for epidemiologic studies of cardiopulmonary health related to air pollution exposures. Air pollution is a modifiable risk factor that may decrease lung function among obese individuals with implications for environmental and occupational health policy.