Asian Immigrant Women & HERE Local 2

[Excerpt] This article tells the story of a local union and a community group who, in pursuit of multinational and multiracial solidarity within their own organizations, have coalesced to help immigrants defend themselves against the exploitation they inevitably face in the workplace. In both cases, women provided the leadership that made these efforts possible, efforts that may harbinger a broader view of working class solidarity in the American labor movement

Factors associated with stress among first-year undergraduate students attending an Australian university

Objective: The aim of this study was to examine the relationship between stress and various socio-demographic, health and behavioural factors among undergraduate students studying in an Australian university. Methods: A cross-sectional survey was carried out among firstyear undergraduate students studying at Griffith University. Participants were recruited from four different academic groups (N=728). The questionnaire used in this study comprised of three sections: socio-demographic information, stress scale and a food frequency questionnaire. K-means Cluster analysis was performed to identify the major dietary patterns and multinomial logistic regression analysis was used to examine the factors associated with stress. Results: Nearly 53% of the students had some degree of stress with 37.4% experiencing moderate to severe levels of stress. The factors most strongly associated with having mild or moderate/ severe stress levels included being in a relationship [OR =1.71, 95% CI (1.02-2.87) and OR=1.61, 95% CI (1.06-2.44)], studying a non-health related degree [OR=1.68, 95% CI (1.03-2.73) and OR=1.51, 95% CI (1.04-2.19)], working ≥ 21 hours per week [OR=2.12, 95% CI (1.02-4.40) and OR=2.21, 95% CI (1.32-3.67)], and engaging in an unhealthy dietary pattern [OR=2.67, 95% CI (1.25-5.72) and OR=2.76, 95% CI (1.47-5.16)]. Being a female [OR=1.84, 95% CI (1.25-2.72)], living in a shared accommodation [OR=0.52, 95% CI (0.27-0.98)], rarely exercising [OR=2.64, 95% CI (1.59-4.39)], having a body mass index (BMI) of 25 or over [OR=2.03, 95% CI (1.36-3.04)], and engaging in a dietary pattern that was low in protein, fruit and vegetables [OR=1.72, 95% CI (1.06-2.77)] were also associated with having moderate/severe stress levels. Conclusion: This study found that more than half of the undergraduate students had some levels of stress. Both mild and moderate/severe levels of stress were associated with sociodemographic characteristics, risky health behaviours and poor dietary patterns. Our findings reinforce the need to promote healthy behaviours among undergraduate university students in order to maintain good mental health.</p

Space-Time Forecasting Using Soft Geostatistics: A Case Study in Forecasting Municipal Water Demand for Phoenix, AZ

Managing environmental and social systems in the face of uncertainty requires the best possible forecasts of future conditions. We use space-time variability in historical data and projections of future population density to improve forecasting of residential water demand in the City of Phoenix, Arizona. Our future water estimates are derived using the first and second order statistical moments between a dependent variable, water use, and an independent variable, population density. The independent variable is projected at future points, and remains uncertain. We use adjusted statistical moments that cover projection errors in the independent variable, and propose a methodology to generate information-rich future estimates. These updated estimates are processed in Bayesian Maximum Entropy (BME), which produces maps of estimated water use to the year 2030. Integrating the uncertain estimates into the space-time forecasting process improves forecasting accuracy up to 43.9% over other space-time mapping methods that do not assimilate the uncertain estimates. Further validation studies reveal that BME is more accurate than co-kriging that integrates the error-free independent variable, but shows similar accuracy to kriging with measurement error that processes the uncertain estimates. Our proposed forecasting method benefits from the uncertain estimates of the future, provides up-to-date forecasts of water use, and can be adapted to other socioeconomic and environmental applications.

Integrating research, surveillance, and practice in environmental public health tracking.

The Centers for Disease Control and Prevention in the U.S. Department of Health and Human Services is working with selected state and local health departments, academic centers, and others to develop an environmental public health tracking initiative to improve geographic and temporal surveillance of environmental hazards, exposures, and related health outcomes. The objective is to support policy strategies and interventions for disease prevention by communities and environmental health agencies at the federal, state, and local levels. The first 3 years of the initiative focused on supporting states and cities in developing capacity, information technology infrastructure, and pilot projects to demonstrate electronic linkage of environmental hazard or exposure data and disease data. The next phase requires implementation across states. This transition could provide opportunities to further integrate research, surveillance, and practice through attention to four areas. The first is to develop a shared and transparent knowledge base that draws on environmental health research and substantiates decisions about what to track and the interpretation of results. The second is to identify and address information needs of policy and stakeholder audiences in environmental health. The third is to adopt mechanisms for coordination, decision making, and governance that can incorporate and support the major entities involved. The fourth is to promote disease prevention by systematically identifying and addressing population-level environmental determinants of health and disease

Differences in work environment for staff as an explanation for variation in central line bundle compliance in intensive care units.

BACKGROUND: Central line-associated bloodstream infections (CLABSIs) are a common and costly quality problem, and their prevention is a national priority. A decade ago, researchers identified an evidence-based bundle of practices that reduce CLABSIs. Compliance with this bundle remains low in many hospitals. PURPOSE: The aim of this study was to assess whether differences in core aspects of work environments-workload, quality of relationships, and prioritization of quality-are associated with variation in maximal CLABSI bundle compliance, that is, compliance 95%-100% of the time in intensive care units (ICUs). METHODOLOGY/APPROACH: A cross-sectional study of hospital medical-surgical ICUs in the United States was done. Data on work environment and bundle compliance were obtained from the Prevention of Nosocomial Infections and Cost-Effectiveness Refined Survey completed in 2011 by infection prevention directors, and data on ICU and hospital characteristics were obtained from the National Healthcare Safety Network. Factor and multilevel regression analyses were conducted. FINDINGS: Reasonable workload and prioritization of quality were positively associated with maximal CLABSI bundle compliance. High-quality relationships, although a significant predictor when evaluated apart from workload and prioritization of quality, had no significant effect after accounting for these two factors. PRACTICE IMPLICATIONS: Aspects of the staff work environment are associated with maximal CLABSI bundle compliance in ICUs. Our results suggest that hospitals can foster improvement in ensuring maximal CLABSI bundle compliance-a crucial precursor to reducing CLABSI infection rates-by establishing reasonable workloads and prioritizing quality