Association of Air Pollution with Increased Incidence of Ventricular Tachyarrhythmias Recorded by Implanted Cardioverter Defibrillators

Epidemiologic studies have demonstrated a consistent link between sudden cardiac deaths and particulate air pollution. We used implanted cardioverter defibrillator (ICD) records of ventricular tachyarrhythmias to assess the role of air pollution as a trigger of these potentially life-threatening events. The study cohort consisted of 203 cardiac patients with ICD devices in the Boston metropolitan area who were followed for an average of 3.1 years between 1995 and 2002. Fine particle mass and gaseous air pollution plus temperature and relative humidity were measured on almost all days, and black carbon, sulfate, and particle number on a subset of days. Date, time, and intracardiac electrograms of ICD-detected arrhythmias were downloaded at the patients’ regular follow-up visits (about every 3 months). Ventricular tachyarrhythmias were identified by electrophysiologist review. Risk of ventricular arrhythmias associated with air pollution was estimated with logistic regression, adjusting for season, temperature, relative humidity, day of the week, patient, and a recent prior arrhythmia. We found increased risks of ventricular arrhythmias associated with 2-day mean exposure for all air pollutants considered, although these associations were not statistically significant. We found statistically significant associations between air pollution and ventricular arrhythmias for episodes within 3 days of a previous arrhythmia. The associations of ventricular tachyarrhythmias with fine particle mass, carbon monoxide, nitrogen dioxide, and black carbon suggest a link with motor vehicle pollutants. The associations with sulfate suggest a link with stationary fossil fuel combustion sources

Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration

Although individuals spend the majority of their time indoors, most epidemiological studies estimate personal air pollution exposures based on outdoor levels. This almost certainly results in exposure misclassification as pollutant infiltration varies between homes. However, it is often not possible to collect detailed measures of infiltration for individual homes in large-scale epidemiological studies and thus there is currently a need to develop models that can be used to predict these values. To address this need, we examined infiltration of fine particulate matter (PM2.5) and identified determinants of infiltration for 46 residential homes in Toronto, Canada. Infiltration was estimated using the indoor/outdoor sulphur ratio and information on hypothesized predictors of infiltration were collected using questionnaires and publicly available databases. Multiple linear regression was used to develop the models. Mean infiltration was 0.52 ± 0.21 with no significant difference across heating and non-heating seasons. Predictors of infiltration were air exchange, presence of central air conditioning, and forced air heating. These variables accounted for 38% of the variability in infiltration. Without air exchange, the model accounted for 26% of the variability. Effective modelling of infiltration in individual homes remains difficult, although key variables such as use of central air conditioning show potential as an easily attainable indicator of infiltration

Confounding and exposure measurement error in air pollution epidemiology

Studies in air pollution epidemiology may suffer from some specific forms of confounding and exposure measurement error. This contribution discusses these, mostly in the framework of cohort studies. Evaluation of potential confounding is critical in studies of the health effects of air pollution. The association between long-term exposure to ambient air pollution and mortality has been investigated using cohort studies in which subjects are followed over time with respect to their vital status. In such studies, control for individual-level confounders such as smoking is important, as is control for area-level confounders such as neighborhood socio-economic status. In addition, there may be spatial dependencies in the survival data that need to be addressed. These issues are illustrated using the American Cancer Society Cancer Prevention II cohort. Exposure measurement error is a challenge in epidemiology because inference about health effects can be incorrect when the measured or predicted exposure used in the analysis is different from the underlying true exposure. Air pollution epidemiology rarely if ever uses personal measurements of exposure for reasons of cost and feasibility. Exposure measurement error in air pollution epidemiology comes in various dominant forms, which are different for time-series and cohort studies. The challenges are reviewed and a number of suggested solutions are discussed for both study domains

Facilitate Insight by Non-Invasive Brain Stimulation

Our experiences can blind us. Once we have learned to solve problems by one method, we often have difficulties in generating solutions involving a different kind of insight. Yet there is evidence that people with brain lesions are sometimes more resistant to this so-called mental set effect. This inspired us to investigate whether the mental set effect can be reduced by non-invasive brain stimulation. 60 healthy right-handed participants were asked to take an insight problem solving task while receiving transcranial direct current stimulation (tDCS) to the anterior temporal lobes (ATL). Only 20% of participants solved an insight problem with sham stimulation (control), whereas 3 times as many participants did so (p = 0.011) with cathodal stimulation (decreased excitability) of the left ATL together with anodal stimulation (increased excitability) of the right ATL. We found hemispheric differences in that a stimulation montage involving the opposite polarities did not facilitate performance. Our findings are consistent with the theory that inhibition to the left ATL can lead to a cognitive style that is less influenced by mental templates and that the right ATL may be associated with insight or novel meaning. Further studies including neurophysiological imaging are needed to elucidate the specific mechanisms leading to the enhancement

Culture Connects 20/20: A Cultural Plan for the Dayton, Ohio Region

In March of 2014, Culture Works contracted WolfBrown to provide the services of Marc Goldring, Associate Principal, to oversee aspects of developing a 10-year cultural plan for the Dayton Region. The planning team also included Dr. Richard Stock, Director, Business Research Group of the University of Dayton and Jane Dockery, APRI\u27s Associate Director. This project grew out of earlier regional research, beginning in 2011, funded in part by the Dayton Foundation that included comprehensive market research about cultural attendance and a study of economic activity generated by the nonprofit cultural sector. Where the practices of creativity help our young people learn and think more creatively and cultural assets help sell our region to talented STEM professionals and executives. Our region can be a community where we learn that creative methods are as potent as the scientific method. This Regional Cultural Plan can make it happen. Our plan focuses on using arts and cultural assets to further economic development, education, and regional diversity. The cultural raw material is already in place. What we need, and what the plan offers, is a roadmap to connect the dots. We propose exciting new ways to support cultural organizations and creative entrepreneurs, new approaches to funding and to the organizations that will facilitate the implementation of this plan over the next ten to fifteen years. This plan is the result of input from many individuals concerned about the future of arts and culture in the Dayton Region. The plan’s Steering Committee has been especially helpful in responding to the findings of the planning team and refining and shaping this document.https://corescholar.libraries.wright.edu/apri_comdev/1004/thumbnail.jp

Learning styles inequity for small to micro firms (SMFs): Social exclusion through work-based e-learning practice in Europe

Purpose – The elearn2work study of learning styles in the context of small to micro firms’ (SMFs) and their perceived satisfaction has identified some important finding specific to e-learning content design, delivery and international standards development. Design/methodology/approach – The method of research adopts a deductive rather than an inductive approach via descriptive profiling and multivariate statistical analysis. Findings – From the elearn2work study we have identified tentative findings that indicate e-learning inequity for many SMF learners including employees and managers. From our research there is a clear gap between the profile of SMF learners, in the context of their learning style, and the typical content that is currently being designed for e-learning provision. The sector is driven by analytic type educators/trainers who are frequently not a reflection of SMF learners. Originality/value – It could be argued that many SMF workers are currently being socially excluded from e-learning provision through pedagogy inequity when considering the lack of learning styles support in work-based learning practice