| Literature DB >> 25918910 |
Timothy M Barzyk1, Sacoby Wilson2, Anthony Wilson3.
Abstract
Community, state, and federal approaches to conventional and cumulative risk assessment (CRA) were described and compared to assess similarities and differences, and develop recommendations for a consistent CRA approach, acceptable across each level as a rigorous scientific methodology, including partnership formation and solution development as necessary practices. Community, state, and federal examples were described and then summarized based on their adherence to CRA principles of: (1) planning, scoping, and problem formulation; (2) risk analysis and ranking, and (3) risk characterization, interpretation, and management. While each application shared the common goal of protecting human health and the environment, they adopted different approaches to achieve this. For a specific project-level analysis of a particular place or instance, this may be acceptable, but to ensure long-term applicability and transferability to other projects, recommendations for developing a consistent approach to CRA are provided. This approach would draw from best practices, risk assessment and decision analysis sciences, and historical lessons learned to provide results in an understandable and accepted manner by all entities. This approach is intended to provide a common ground around which to develop CRA methods and approaches that can be followed at all levels.Entities:
Mesh:
Year: 2015 PMID: 25918910 PMCID: PMC4454925 DOI: 10.3390/ijerph120504546
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Three phases of a cumulative risk assessment highlighting several features of each; from the EPA Framework for Cumulative Risk Assessment (2003) [1].
Overview of community based projects involving quantification of cumulative risk.
| Study & Topics | Purpose or Problem | Study Design | Primary Findings |
|---|---|---|---|
| Sadd | Development of the Environmental Justice Screening Method (EJSM) to Examined the relative rank of cumulative impacts and social vulnerability within metropolitan regions. | EJSM uses 23 health, environmental and social vulnerability measures organized along three categories: (1) hazard proximity and land use; (2) estimated air pollution exposure and health risk; and (3) social and health vulnerability in the Los Angeles area. | Areas with high hazard proximity and sensitive land use scores correspond to Areas with high hazard proximity and sensitive land use scores corresponded with dense populations and major industrial centers or transportation corridors. |
| Clougherty | Examined the role of exposure to violence (ETV), a chronic stressor, in altering susceptibility to traffic-related air pollution in asthma etiology. | GIS-based models estimated residential exposures to traffic-related pollution for 413 children in East Boston, MA, between 1987 and 1993, using monthly NO2 measurements for 13 sites over 18 years. Pollution estimates were merged with questionnaire data on lifetime exposure to violence, and effects of both on childhood asthma etiology were examined. | Found elevated risk of asthma with a one standard deviation (4.3 ppb) increase in NO2 exposure among children with above-median ETV (odds ratio = 1.63; 95% confidence interval = 1.14–2.33). |
| Clougherty and Kubzansky (2009) [ | Synthesized relevant research from social and environmental epidemiology, toxicology, immunology, and exposure assessment to provide a framework for environmental health researchers aiming to investigate health effects of environmental pollution combined with social or psychological factors. | Reviewed existing epidemiologic and toxicological evidence on synergistic effects of stress and pollution. | Described Physiologic effects of stress. Addressed key issues related to measuring and evaluating stress as it relates to physical environmental exposures and susceptibility. |
| Brody | Tested for chemical markers of oil refinery emissions in homes; characterized cumulative effects of emissions in an EJ community by measuring a large and diverse set of pollutants from outdoor and indoor sources; assessed geographic and sociodemographic differences in endocrine disrupting compound (EDC) exposures. | The investigators analyzed indoor and outdoor air from 40 homes in industrial Richmond, CA, and 10 in rural Bolinas, CA, for 153 compounds, including particulates and endocrine disruptors. | Detected eighty outdoor compounds in Richmond and 60 in Bolinas; Richmond concentrations were generally higher, due to heavy oil combustion from oil refining and shipping. Paired outdoor-indoor measurements were correlated to industry- and traffic-related pollutants. Indoor air quality is an important indicator of the cumulative impact of outdoor emissions in fence-line communities. |
| Morello-Frosch and Shenassa (2006) [ | Presented evidence that individual-level and place-based psychosocial stressors may combine with environmental pollutants and have adverse health effects, explaining maternal and child health (MCH) disparities. | Proposed a conceptual framework for holistic approaches to future MCH research that elucidates the interplay of psychosocial stressors and environmental hazards to better explain drivers of MCH disparities. | Suggested that a holistic approach to future MCH research that seeks to untangle the double jeopardy of chronic stressors and environmental hazard exposures could help elucidate how the interplay of these factors shapes persistent racial and economic disparities in MCH. |
| Su | Proposes an index to assess cumulative environmental hazard inequalities in socially disadvantaged groups and neighborhoods in the Los Angeles region of California. | Extended the concentration index to summarize inequality in the distribution of multiple pollutants across socioeconomic and racial/ethnic groups. Index used population ranked by area-based racial, ethnic or socioeconomic composition, and the cumulative environmental hazard, aggregated with various weighting functions. | Analyzed single and cumulative environmental inequalities in exposure to NO2, PM2.5 and diesel PM; cancer risk; poverty measures; and racial/ethnic population composition. Environmental inequality curves were significantly different from the equality line. Demonstrated that environmental inequalities exist for non-white populations as well as for poorer populations in Los Angeles. |
| Fox | Advanced CRA methods and tested their application in a community case study. Cumulative risk and health assessments were compared for south and southwest Philadelphia communities. | Obtained mortality data by from the city of Philadelphia, using deaths for 1990 ( | Analysis found correlations between cumulative risk and mortality measurements for whites and non-whites when risk when using the multi-end point toxicological database. |
| Krieg and Faber (2004) [ | The EJ literature is characterized by a failure to measure overall impact from an extensive range of ecological hazards effectively. Limitations on available data make this a serious problem for present and future studies. | Developed and implemented a cumulative measure of negative environmental impacts by controlling for the density and severity of ecological hazardous sites and facilities within every community in the state. | Found that exposure patterns take a generally linear distribution when analyzed by race and class. Findings suggest that environmental injustice existed on a consistent continuum for nearly all communities. |
Synopsis of Planning, Scoping, and Problem Formulation elements for Phase 1 of a CRA for Community, State, and Federal applications.
| Planning, Scoping, Problem Formulation Elements | Community | State | Federal |
|---|---|---|---|
| Planning and Scoping | |||
| Purpose | Improve community health | Allocate/distribute resources to protect residents from environmental harm | Maximal protection of population as a whole; improve conditions at local levels |
| Scope | Neighborhood area(s); current conditions; historical exposures; future projections; population-based; precautionary | Geo-political boundaries; community scales; urban, suburban, and rural scales; pollution regulation; land maintenance; infrastructure; transportation; social, environmental, and economic considerations ( | Sector and chemical-driven protection; cost-effective solutions (e.g., CAA); principally reactive in origin (e.g., CERCLA); predictive as well (e.g., MOA grouping in FIFRA); agencies adopting local-scale principals (e.g., Superfund RAGS) |
| Participants | Local residents (e.g., Chester, PA); agencies (e.g., South Baltimore); academics and health departments (e.g., Spartanburg, SC) | Representative councils (e.g., EJAC); stakeholder input (e.g., EJSM) | Expert solicitation (e.g., SDWA); local considerations (e.g., NEPA) |
| Approach | Participatory | Interactive | Reflective |
| Resources | Human; financial; technical; political | Policy-driven allocation | Distributed across agencies |
| Past Experiences | Anecdotal; perceived risk; historical perspectives on exposure; local knowledge of health and environment | Multi-faceted (social, environmental, economic) perspective on impacts and decision-making | Historical records and lessons learned domestically and abroad |
| Problem Formulation | |||
| Conceptual Model | Network of partners and collaborators; linkages between stressors and solutions | Environmental and health predictions with sustainability considerations | Establish baseline and modifications to exposure/response due to multiple stressors |
| Analysis Plan | Data informs decision-making and defense of risk analysis, characterization, and management options | Data identifies populations of interest and informs allocation of resources | Quantitative approaches with modes of action (MOAs) and maximum contaminant level goals (MCLGs) inform standards |
| Discussion of Possible Outcomes | Develop and adopt local initiatives/policies implemented by residents or government; work with intentionality | Achieve sustainable use of available social, environmental, and economic resources | Protect human health and environment across country, while maintaining global perspective |
Synopsis of Risk Analysis elements for Phase 2 of a CRA for Community, State, and Federal applications.
| Risk Analysis Elements | Community | State | Federal |
|---|---|---|---|
| Integration of Exposure, Hazard, and Dose-Response Information Considering: | |||
| Time Related Aspects | Analytic-deliberative methods linking decision analysis and risk assessment | Indexes of cumulate risk (e.g., EJSM); indicators and surrogates as proxies for exposure and risk | Providing protective standards for human health based on best available toxicity and exposure relationships |
| Single Stressor Information | |||
| Toxicological Independence | Chemical mixtures from multiple sources; non-chemical stressors and other exposure/response modifiers | Implement regulations with permitting, oversight, management, and public initiatives or programs | Regulations and mixtures limited to chemically similar stressors (e.g., pesticides); also site- or source-specific (e.g., Superfund, CAA) |
| Multiple Stressor Information | |||
| Stressor Interactions | Relative risk of stressors for prioritization of actions; determination of environmental impacts on health | Consideration of social determinants of health | Determination of environmental impacts on health |
| Measures and Metrics | |||
| Decision Indices | Data collection and consolidation informs decision making and supports local initiatives | Consolidation of multiple aspects of sustainability addresses state-level decisions about resources and priorities | Impact-driven assessments of environmental stressors on human health and ecosystems |
Synopsis of Risk Characterization and Interpretation elements for Phase 3 of a CRA for Community, State, and Federal applications.
| Risk Characterization and Interpretation Elements | Community | State | Federal |
|---|---|---|---|
| Risk Description | |||
| Central Tendency and High-End Individual Risk | Multiroute chemical risk assessments; poverty and race/ethnicity considerations; children and elderly; mortality/morbidity clusters | Sensitive/vulnerable population groups; socioeconomic factors; multiple emissions and discharges; current and future conditions | Standards to protect most sensitive populations (e.g., SDWA); aggregate exposure regulations (e.g. FQPA); reasonably anticipated adverse effects (e.g., CWA Sn. 405); primary standards to protect children, elderly, asthmatics |
| Uncertainty Analysis | |||
| Being Explicit about Uncertainty | GIS-based analyses; local health and emissions records; deviations from baseline or more ideal conditions; proxies for exposure; measurements and sensors increase certainty | Indicators or surrogates of exposure, such as hazard proximity and air pollution exposure estimates; resolution suitable for targeting and implementation of policy | Economic, social, and environmental conditions are interrelated, producing direct, indirect and cumulative effects |
| Information Provided by CRA | Stressor, asset, and resource identification; absolute or relative ranking; remediation options | Identification of at-risk individuals or populations; weighting of risk based socio-economic, health, and environmental conditions | Systematic, interdisciplinary approaches; integration of natural, social, and environmental sciences and designs |
| Using the Results of CRA | Solution-oriented, data-supported, value-driven decision-making | Implementation of exposure and risk reduction actions; source attribution; protective standards for land use or other policies | Dose addition with relative potency and toxic equivalency factors or to develop a hazard index; stakeholder feedback and participation to inform research and development that supports local efforts |