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Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

ABSTRACT: There are > 80,000 chemicals in commerce with few data available describing their impacts on human health. Biomonitoring surveys, such as the NHANES (National Health and Nutrition Examination Survey), offer one route to identifying possible relationships between environmental chemicals and health impacts, but sparse data and the complexity of traditional models make it difficult to leverage effectively.We describe a workflow to efficiently and comprehensively evaluate and prioritize chemical-health impact relationships from the NHANES biomonitoring survey studies.Using a frequent itemset mining (FIM) approach, we identified relationships between chemicals and health biomarkers and diseases.The FIM method identified 7,848 relationships between 219 chemicals and 93 health outcomes/biomarkers. Two case studies used to evaluate the FIM rankings demonstrate that the FIM approach is able to identify published relationships. Because the relationships are derived from the vast majority of the chemicals monitored by NHANES, the resulting list of associations is appropriate for evaluating results from targeted data mining or identifying novel candidate relationships for more detailed investigation.Because of the computational efficiency of the FIM method, all chemicals and health effects can be considered in a single analysis. The resulting list provides a comprehensive summary of the chemical/health co-occurrences from NHANES that are higher than expected by chance. This information enables ranking and prioritization on chemicals or health effects of interest for evaluation of published results and design of future studies.Bell SM, Edwards SW. 2015. Identification and prioritization of relationships between environmental stressors and adverse human health impacts. Environ Health Perspect 123:1193-1199; http://dx.doi.org/10.1289/ehp.1409138.

SUBMITTER: Bell SM

PROVIDER: S-EPMC4629746 | biostudies-other | 2015 Nov

REPOSITORIES: biostudies-other

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Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

Bell Shannon M SM Edwards Stephen W SW

Environmental health perspectives 20150410 11

<h4>Background</h4>There are > 80,000 chemicals in commerce with few data available describing their impacts on human health. Biomonitoring surveys, such as the NHANES (National Health and Nutrition Examination Survey), offer one route to identifying possible relationships between environmental chemicals and health impacts, but sparse data and the complexity of traditional models make it difficult to leverage effectively.<h4>Objective</h4>We describe a workflow to efficiently and comprehensively ...[more]

PMID: 25859761

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Project description:Rechargeable lithium-ion (Li-ion) and lithium-polymer (Li-poly) batteries have recently become dominant in consumer electronic products because of advantages associated with energy density and product longevity. However, the small size of these batteries, the high rate of disposal of consumer products in which they are used, and the lack of uniform regulatory policy on their disposal means that lithium batteries may contribute substantially to environmental pollution and adverse human health impacts due to potentially toxic materials. In this research, we used standardized leaching tests, life-cycle impact assessment (LCIA), and hazard assessment models to evaluate hazardous waste classification, resource depletion potential, and toxicity potentials of lithium batteries used in cellphones. Our results demonstrate that according to U.S. federal regulations, defunct Li-ion batteries are classified hazardous due to their lead (Pb) content (average 6.29 mg/L; ? = 11.1; limit 5). However, according to California regulations, all lithium batteries tested are classified hazardous due to excessive levels of cobalt (average 163,544 mg/kg; ? = 62,897; limit 8000), copper (average 98,694 mg/kg; ? = 28,734; limit 2500), and nickel (average 9525 mg/kg; ? = 11,438; limit 2000). In some of the Li-ion batteries, the leached concentrations of chromium, lead, and thallium exceeded the California regulation limits. The environmental impact associated with resource depletion and human toxicity is mainly associated with cobalt, copper, nickel, thallium, and silver, whereas the ecotoxicity potential is primarily associated with cobalt, copper, nickel, thallium, and silver. However, the relative contribution of aluminum and lithium to human toxicity and ecotoxicity could not be estimated due to insufficient toxicity data in the models. These findings support the need for stronger government policy at the local, national, and international levels to encourage recovery, recycling, and reuse of lithium battery materials.

Project description:Study objectivesTo examine associations between perceived neighborhood social environment (PNSE) and sleep, mediated by physical activity (PA) and psychosocial stressors.MethodsA sample (n = 4705) of African Americans (mean age 55.0 years; 63.4% female) enrolled in the 2000-2004 Jackson Heart Study (JHS). Four self-reported sleep outcomes were analyzed: sleep duration (minutes/night), sleep quality (high/low), short sleep (short ≤ 6 h vs recommended = 7-8 h), and long sleep (long ≥ 9 h vs recommended). PNSE factors included violence (e.g. robbery), problems (trash/litter), and social cohesion (trusting neighbors). PA and psychosocial stressors (lifetime and everyday discrimination, perceived stress, and depressive symptoms) were tested as mediators. With bootstrap-generated 95% bias-corrected confidence intervals (BC CIs), linear regression was used to test for mediation adjusting for covariates.ResultsNeighborhood violence and problems were associated with sleep duration, mediated through PA (B = -1.97, 95%BC CI = -3.76, -0.60; B = -1.23, 95%BC CI = -2.55, -0.27, respectively), lifetime discrimination (B = 2.61, 95%BC CI = 0.93, 4.80; B = 2.25, 95%BC CI = 0.93, 3.94), perceived stress (B = -3.08, 95%BC CI = -6.20, -0.41; B = -2.17, 95%BC CI = -4.33, -0.28), and depressive symptoms (B = -2.22, 95%BC CI = -5.09, -0.25; B = -1.94, 95%BC CI = -4.10, -0.35). Social cohesion was positively associated with sleep duration, mediated through PA, lifetime discrimination, and perceived stress. Similar patterns were demonstrated for binary outcomes. Yet, effect sizes were relatively small. PNSE was neither directly nor indirectly associated with sleep outcomes by everyday discrimination.ConclusionsEach PNSE factor was associated with sleep outcomes, mediated by PA and psychosocial stressors. Further research should emphasize effective community efforts to decrease adverse neighborhood conditions and psychosocial factors and increase PA; thereby reducing CVD events for African Americans.

Dataset Information

Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

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Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.

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