Correlations between Educational Struggle, Toxic Sites by School District and Demographic Variables, with Geographical Information System Projections.

This correlational study associated data on children enrolled in individualized educational plans in their K-12 schools (IEP) and an algorithm-calculated score of neurotoxins at contaminated sites located in each school district. The study also mapped and projected the correlations using Geographical Information System (GIS) technology. These data were populated in ArcMap 10.5 (a GIS software) for generating maps and data to conduct geospatial analysis. A total of 1 Superfund site and 39 CERCLA sites were identified as contaminated sites for this analysis. The majority of contaminants were heavy metals such as lead, arsenic, mercury, and cadmium. The mean toxic score of all contaminated sites combined was 13.4 (SD 14.4). Correlational analysis between the IEP numbers from each school district and toxic scores from the contaminated school district sites exhibited a positive relationship (F = 23.7, p < 0.0001). Correlations were also seen among higher toxics scores, IEP numbers, and children under the age of 10 (p < 0.00052) as well as higher proportions of black students in areas with high toxics scores (p = 0.0032). Black students were also far more likely to be enrolled in an IEP (p < 0.0001). Household income and poverty percentage in contaminated areas were also correlated (p = 0.0002). Individuals without college degrees were overrepresented in high toxic score school districts (p < 0.0001). The important low socio-economic status indicator of free and reduced lunch programs also correlated with increasing toxic scores (p = 0.0012) and IEP numbers (p = 0.0416). This study emphasizes the need to account for multiple exposures to wholistically appreciate environmental factors contributing to negative health outcomes.

Predictors of diabetes risk perception among college students.

Objective: To explore the diabetes knowledge and future disease risk perception of college students. Participants: 697 college students were purposefully recruited at a large state university and completed an online survey. Methods: Diabetes knowledge, future disease risk perception, lifestyle, and demographic factors were assessed. Results: The majority of students (56%) reported a family history of diabetes but perceived their diabetes risk as low/moderate (90%). Logistic regression indicated higher knowledge (OR, 1.07; 95% CI, 1.01-1.13), age (OR, 1.08; 95% CI, 1.00-1.16), bodymassindex (BMI) (OR, 4.90; 95% CI, 2.33-10.30) and family history of diabetes (OR, 4.30; 95% CI, 1.97-9.40) increased perception of future diabetes risk. Those who self-rated their health as good/excellent and read food labels regularly/often had lower perceived future risk of diabetes. Conclusions: Results highlight the importance of educating college students on diabetes risk factors as well as primary/secondary prevention for reducing diabetes incidence in this age group.

Road dust and its effect on human health: a literature review.

The purpose of this study was to determine the effects of road dust on human health. A PubMed search was used to extract references that included the words "road dust" and "health" or "fugitive dust" and "health" in the title or abstract. A total of 46 references were extracted and selected for review after the primary screening of 949 articles. The respiratory system was found to be the most affected system in the human body. Lead, platinum-group elements (platinum, rhodium, and bohrium), aluminum, zinc, vanadium, and polycyclic aromatic hydrocarbons were the components of road dust that were most frequently referenced in the articles reviewed. Road dust was found to have harmful effects on the human body, especially on the respiratory system. To determine the complex mechanism of action of various components of road dust on the human body and the results thereof, the authors recommend a further meta-analysis and extensive risk-assessment research into the health impacts of dust exposure.