Evaluating the risk of mixtures in the indoor air of primary school classrooms

In school environments, children are constantly exposed to mixtures of airborne substances, derived from a variety of sources, both in the classroom and in the school surroundings. It is important to evaluate the hazardous properties of these mixtures, in order to conduct risk assessments of their impact on chil¬dren’s health. Within this context, through the application of a Maximum Cumulative Ratio approach, this study aimed to explore whether health risks due to indoor air mixtures are driven by a single substance or are due to cumulative exposure to various substances. This methodology requires knowledge of the concentration of substances in the air mixture, together with a health related weighting factor (i.e. reference concentration or lowest concentration of interest), which is necessary to calculate the Hazard Index. Maximum cumulative ratio and Hazard Index values were then used to categorise the mixtures into four groups, based on their hazard potential and therefore, appropriate risk management strategies. Air samples were collected from classrooms in 25 primary schools in Brisbane, Australia. Analysis was conducted based on the measured concentration of these substances in about 300 air samples. The results showed that in 92% of the schools, indoor air mixtures belonged to the ‘low concern’ group and therefore, they did not require any further assessment. In the remaining schools, toxicity was mainly governed by a single substance, with a very small number of schools having a multiple substance mix which required a combined risk assessment. The proposed approach enables the identification of such schools and thus, aides in the efficient health risk management of pollution emissions and air quality in the school environment.

Universal Access-NY User’s Guide

What is Universal Access-NY? Universal Access-NY is a complete online planning toolkit, www.UniversalAccessNY.org, where a One-Stop Delivery System can assess its practices, and develop work plans to improve physical and programmatic accessibility for all One-Stop customers. This web site and manual was developed by Cornell University’s Employment and Disability Institute, through the support and guidance of the New York State Department of Labor, with funding from two U.S. Department of Labor Work Incentive Grants (WIG 1 and 2). This web site was designed for use in a collaborative manner, bringing together One-Stop personnel, agency partners, business leaders and customers with disabilities. Universal Access-NY supports continuous improvement, with features that encourage multiple uses and incremental systems change.

Post-school needs of young people with high-functioning Autism Spectrum Disorder

This study describes the post-school circumstances and service needs of older teenagers and adults with high-functioning Autism Spectrum Disorder, living in Queensland, Australia. The respondents were 95 parents. Results indicated that the majority of the young people lived in the family home and were unemployed. Of those who worked, 56% had unskilled jobs. They were estimated to spend a significant proportion of their time engaged in solitary, technology-based activities, and comparatively little time in employment or socialising. Parents rated employment support as the greatest service priority for their sons and daughters, followed by specialised support to assist with completing post-school education and training, assistance to support the transition from high school to adulthood, and social skills training.

Who Participated in School-to-Work Programs in 1998? Technical Report

[Excerpt] This report is based on a survey of 7425 students attending high school during the 1998/99 academic year that asked about recent participation in school-to-work (STW) activities. The survey is the first wave of the National Longitudinal Survey of Youth begun in early 1997 (NLSY97). Ninety-three percent of the youth surveyed in the initial wave were interviewed in the second follow up that we are analyzing here. The statistics reported below are based on weighted data and so represent the population of 15 to 19 year olds attending school during the 1998/99 academic year. Youth who graduated from or dropped out of high school before fall 1998 were not asked questions about participation in school-to-work programs and so are not included in our analysis.