Deaf Weight Wise: A novel randomized clinical trial with Deaf sign language users.

OBJECTIVE: The goal of this study was to address the absence of evidence-based weight-control programs developed for use with Deaf people. METHODS: Community-based participatory research informed the design of the Deaf Weight Wise (DWW) trial and intervention. DWW focuses primarily on healthy lifestyle and weight through change in diet and exercise. The study enrolled 104 Deaf adults aged 40 to 70 years with BMI of 25 to 45 from community settings in Rochester, New York, and randomized participants to immediate intervention (n = 48) or 1-year delayed intervention (n = 56). The delayed intervention serves as a no-intervention comparison until the trial midpoint. The study collected data five times (every 6 months) from baseline to 24 months. All DWW intervention leaders and participants are Deaf people who use American Sign Language (ASL). RESULTS: At 6 months, the difference in mean weight change for the immediate-intervention arm versus the delayed-intervention arm (no intervention yet) was -3.4 kg (multiplicity-adjusted p = 0.0424; 95% CI: -6.1 to -0.8 kg). Most (61.6%) in the immediate arm lost ≥5% of baseline weight versus 18.1% in the no-intervention-yet arm (p < 0.001). Participant engagement indicators include mean attendance of 11/16 sessions (69%), and 92% completed 24-month data collection. CONCLUSION: DWW, a community-engaged, culturally appropriate, and language-accessible behavioral weight loss intervention, was successful with Deaf ASL users.

Different factors limit early- and late-season windows of opportunity for monarch development.

Seasonal windows of opportunity are intervals within a year that provide improved prospects for growth, survival, or reproduction. However, few studies have sufficient temporal resolution to examine how multiple factors combine to constrain the seasonal timing and extent of developmental opportunities. Here, we document seasonal changes in milkweed (Asclepias fascicularis)-monarch (Danaus plexippus) interactions with high resolution throughout the last three breeding seasons prior to a precipitous single-year decline in the western monarch population. Our results show early- and late-season windows of opportunity for monarch recruitment that were constrained by different combinations of factors. Early-season windows of opportunity were characterized by high egg densities and low survival on a select subset of host plants, consistent with the hypothesis that early-spring migrant female monarchs select earlier-emerging plants to balance a seasonal trade-off between increasing host plant quantity and decreasing host plant quality. Late-season windows of opportunity were coincident with the initiation of host plant senescence, and caterpillar success was negatively correlated with heatwave exposure, consistent with the hypothesis that late-season windows were constrained by plant defense traits and thermal stress. Throughout this study, climatic and microclimatic variations played a foundational role in the timing and success of monarch developmental windows by affecting bottom-up, top-down, and abiotic limitations. More exposed microclimates were associated with higher developmental success during cooler conditions, and more shaded microclimates were associated with higher developmental success during warmer conditions, suggesting that habitat heterogeneity could buffer the effects of climatic variation. Together, these findings show an important dimension of seasonal change in milkweed-monarch interactions and illustrate how different biotic and abiotic factors can limit the developmental success of monarchs across the breeding season. These results also suggest the potential for seasonal sequences of favorable or unfavorable conditions across the breeding range to strongly affect monarch population dynamics.

Collaboration With Deaf Communities to Conduct Accessible Health Surveillance.

INTRODUCTION: Populations of deaf sign language users experience health disparities unmeasured by current public health surveillance. Population-specific health data are necessary to collaboratively identify health priorities and evaluate interventions. Standardized, reproducible, and language-concordant data collection in sign language is impossible via written or telephone surveys. METHODS: Deaf and hearing researchers, community members, and other stakeholders developed a broad computer-based health survey based on the telephone-administered Behavioral Risk Factor Surveillance System. They translated survey items from English to sign language, evaluated the translations, and filmed the survey items for inclusion in their custom software. They initiated the second Rochester Deaf Health Survey in 2013 (n=211). Analyses (conducted in 2015) compared Rochester Deaf Health Survey 2013 findings with those of the Behavioral Risk Factor Surveillance System with the general adult population in the same community (2012, n=1,816). RESULTS: The Rochester Deaf Health Survey 2013 participants' mean age was 44.7 (range, 18-87) years. Most were deaf since birth or early childhood (87.1%) and highly educated (53.6% with ≥4 years of college). The median household income was <$35,000. The prevalence of current smokers was low (8.1%). Nearly all (93.8%) reported having health insurance, yet barriers to appropriate health care were evident, with high emergency department use (16.2% with two or more past-year visits) and 22.7% forgoing needed health care in the past year because of cost. CONCLUSIONS: Community-engaged research with deaf populations identifies strengths and priorities, providing essential information otherwise missing from existing public health surveillance, and forming a foundation for collaborative dissemination to facilitate broader inclusion of deaf communities.

How Is Science Being Taught? Measuring Evidence-Based Teaching Practices across Undergraduate Science Departments.

While there is a wealth of research evidencing the benefits of active-learning approaches, the extent to which these teaching practices are adopted in the sciences is not well known. The aim of this study is to establish an evidential baseline of teaching practices across a bachelor of science degree program at a large research-intensive Australian university. Our purpose is to contribute to knowledge on the adoption levels of evidence-based teaching practices by faculty within a science degree program and inform our science curriculum review in practical terms. We used the Teaching Practices Inventory (TPI) to measure the use of evidence-based teaching approaches in 129 courses (units of study) across 13 departments. We compared the results with those from a Canadian institution to identify areas in need of improvement at our institution. We applied a regression analysis to the data and found that the adoption of evidence-based teaching practices differs by discipline and is higher in first-year classes at our institution. The study demonstrates that the TPI can be used in different institutional contexts and provides data that can inform practice and policy.

Using the principles of BIO2010 to develop an introductory, interdisciplinary course for biology students.

Modern biological sciences require practitioners to have increasing levels of knowledge, competence, and skills in mathematics and programming. A recent review of the science curriculum at the University of Queensland, a large, research-intensive institution in Australia, resulted in the development of a more quantitatively rigorous undergraduate program. Inspired by the National Research Council's BIO2010 report, a new interdisciplinary first-year course (SCIE1000) was created, incorporating mathematics and computer programming in the context of modern science. In this study, the perceptions of biological science students enrolled in SCIE1000 in 2008 and 2009 are measured. Analysis indicates that, as a result of taking SCIE1000, biological science students gained a positive appreciation of the importance of mathematics in their discipline. However, the data revealed that SCIE1000 did not contribute positively to gains in appreciation for computing and only slightly influenced students' motivation to enroll in upper-level quantitative-based courses. Further comparisons between 2008 and 2009 demonstrated the positive effect of using genuine, real-world contexts to enhance student perceptions toward the relevance of mathematics. The results support the recommendation from BIO2010 that mathematics should be introduced to biology students in first-year courses using real-world examples, while challenging the benefits of introducing programming in first-year courses.

Statins lower the risk of developing Alzheimer's disease by limiting lipid raft endocytosis and decreasing the neuronal spread of Herpes simplex virus type 1.

Many possible risk factors for Alzheimer's disease (AD) have been investigated, with only a very few showing positive associations and none defining the etiology of the neurodegenerative disease. The presence of herpes simplex virus type 1 (HSV-1) DNA in the brain, coupled with apolipoprotein E allele e4 (ApoE e4), has been suggested to confer an increased risk for AD. Studies have shown that pathogens, including viruses, utilize clathrin-independent endocytosis, i.e., lipid rafts that contain cholesterol, as part of their structure. Moreover, cholesterol-lowering statins have recently been linked with a reduced risk of developing Alzheimer's dementia. We, therefore, posit that long-term statin therapy protects individuals from AD by reducing the neuronal spread of HSV-1 via lipid raft domain pathways. Although the mechanism by which statins reduce AD risk is unknown, they reduce the amount of cholesterol in the plasma membrane and, thus, may decrease the availability of lipid raft pathways to spread HSV-1 within the brain.