This article was published in the journal Exercise Immunology Review and is available here with the kind permission of the publisher. ; Vitamin D is mainly obtained through sunlight ultraviolet-B (UVB) exposure of the skin, with a small amount typically coming from the diet. It is now clear that Vitamin D has important roles beyond its well-known effects on calcium and bone homeostasis. Immune cells express the Vitamin D receptor, including antigen presenting cells, T cells and B cells, and these cells are all capable of synthesizing the biologically active Vitamin D metabolite, 1, 25 dihydroxy Vitamin D. There has been growing interest in the benefits of supplementing Vitamin D as studies report Vitamin D insufficiency (circulating 25(OH)D 75 nmol/L.
The purpose of this paper is to explore and understand how a Bosnian refugee community perceives and responds to the potential risk of a natural disaster in order to identify tailored approaches to improve risk communication. This is a qualitative study. Participants resettled in St Louis, Missouri were identified through criterion and snowball sampling. Thirty-three face-to-face interviews were conducted using a semi-structured interview guide. Data were analyzed using both content and thematic analysis. Findings indicate that due to their war experiences, cultural and religious understanding of natural disaster, and social influence on their risk interpretation, participants tended to underestimate the potential threat of natural disaster. Media was the main communication methods in times of potential natural disaster. Lack of organizational support during risk communication was a major concern. Ethnic radio stations and word of mouth were rated as the most popular communication channels for disseminating messages in preparation of a natural disaster. Using a community-based participatory approach to identify community needs and involve Bosnian community partners in risk communication planning, implementation, and evaluation, is vital for a Bosnian community.
This pilot case study describes foreign-trained former Montagnard refugee physicians' practice experiences in Vietnam and their current community health worker and "ally" roles within the Montagnard refugee community. It highlights key features that facilitate cross-culturally responsive health care. We interviewed five Vietnam-trained former Montagnard refugee physicians using an open-ended interview format during March, 2012. We used content analysis procedures to identify key themes characterizing Montagnard physicians' former and current practice experiences and emphasizing the roles they currently play in their new homeland. Montagnard physicians were fighting infectious diseases in homeland Vietnamese communities. Since coming to the U.S., Montagnard physicians have reoriented their competencies to fit within a community health workers model, and have shifted practice to fighting chronic disease in this refugee community. Tasks now include describing and contextualizing unique characteristics of the Montagnard languages and cultures to outside constituents. They become cross-cultural allies to the U.S. health care and facilitate individuals' medical adherence with mainstream physicians' orders. They ensure accuracy of interpretation of Montagnard patients' medical complaints during a medical visit. Our findings reveal the potential roles that can be ascribed to a cross-cultural ally and can be built into practice to fulfill the Montagnard community's unmet health needs: oral historian, mediator, facilitator/negotiator, quality assurer, psychosocial confidant, and health advocate.
Objectives: To examine the relationship between both individual and neighborhood level characteristics and non-fasting blood glucose levels.Study design: This study used a cross sectional design using data from the Community Initiative to Eliminate Stroke Program in NC (2004-2008). A total of 12,809 adults nested within 550 census block groups from two adjacent urban counties were included in the analysis.Methods: Participants completed a cardiovascular risk factor assessment with self-reported demographics, stroke-risk behaviors, and biometric measurements. Neighborhood level characteristics were based upon census data. Three multilevel models were constructed for data analysis.Results: Mean blood glucose level of this sample population was 103.61mg/dL. The unconditional model 1 suggested a variation in mean blood glucose levels among the neighborhoods (τ00 = 13.39; P < .001). Both models 2 and 3 suggested that the neighborhood composite deprivation index had a significant prediction on each neighborhood's mean blood glucose level (¡01= .69; P < 0.001,¡01= .36; P = .004). Model 3 also suggested that across all the neighborhoods, on average, after controlling for individual level risk factors, deprivation remained a significant predictor of blood glucose levels.Conclusions: The findings provide evidence that neighborhood disadvantage is a significant predictor of neighborhood and individual level blood glucose levels. One approach to diabetes prevention could be for policymakers to address the problems associated with environmental determinants of health.
Genome sequencing, assembly and annotation were conducted by the Novogene Bioinformatics Institute, Beijing, China; mutual contracts were No. NHT140016 and NVT140016004. This work was supported by funding from the Scientific Project of Shenzhen Urban Administration (201519) and a Major Technical Research Project of the Innovation of Science and Technology Commission of Shenzhen (JSGG20140515164852417). Additional funding was provided in particular by the Scientific Research Program of Sino-Africa Joint Research Center (SAJL201607). We thank X.Q. Wang, G.W. Hu, Z.D. Chen and Y.H. Guo for comments on gnetophyte phylogenetic relationships and ecological issues; H. Wu and X.P. Ning for discussion of related organ development; K.K. Wan and S. Sun for additional help on the analysis of repeats. We also thank X.Y. for support of funding coordination. Y.V.d.P. acknowledges the Multidisciplinary Research Partnership 'Bioinformatics: from nucleotides to networks' Project (no. 01MR0310W) of Ghent University, and funding from the European Union Seventh Framework Programme (FP7/2007-2013) under European Research Council Advanced Grant Agreement 322739-DOUBLEUP.
