In utero ultrafine particulate matter exposure causes offspring pulmonary immunosuppression.

Early life exposure to fine particulate matter (PM) in air is associated with infant respiratory disease and childhood asthma, but limited epidemiological data exist concerning the impacts of ultrafine particles (UFPs) on the etiology of childhood respiratory disease. Specifically, the role of UFPs in amplifying Th2- and/or Th17-driven inflammation (asthma promotion) or suppressing effector T cells (increased susceptibility to respiratory infection) remains unclear. Using a mouse model of in utero UFP exposure, we determined early immunological responses to house dust mite (HDM) allergen in offspring challenged from 0 to 4 wk of age. Two mice strains were exposed throughout gestation: C57BL/6 (sensitive to oxidative stress) and BALB/C (sensitive to allergen exposure). Offspring exposed to UFPs in utero exhibited reduced inflammatory response to HDM. Compared with filtered air (FA)-exposed/HDM-challenged mice, UFP-exposed offspring had lower white blood cell counts in bronchoalveolar lavage fluid and less pronounced peribronchiolar inflammation in both strains, albeit more apparent in C57BL/6 mice. In the C57BL/6 strain, offspring exposed in utero to FA and challenged with HDM exhibited a robust response in inflammatory cytokines IL-13 and Il-17. In contrast, this response was lost in offspring exposed in utero to UFPs. Circulating IL-10 was significantly up-regulated in C57BL/6 offspring exposed to UFPs, suggesting increased regulatory T cell expression and suppressed Th2/Th17 response. Our results reveal that in utero UFP exposure at a level close to the WHO recommended PM guideline suppresses an early immune response to HDM allergen, likely predisposing neonates to respiratory infection and altering long-term pulmonary health

The Utility of Rural and Underserved Designations in Geospatial Assessments of Distance Traveled to Healthcare Services: Implications for Public Health Research and Practice

Health disparities research in rural populations is based on several common taxonomies identified by geography and population density. However, little is known about the implications of different rurality definitions on public health outcomes. To help illuminate the meaning of different rural designations often used in research, service delivery, or policy reports, this study will (1) review the different definitions of rurality and their purposes; (2) identify the overlap of various rural designations in an eight-county Brazos Valley region in Central Texas; (3) describe participant characteristic profiles based on distances traveled to obtain healthcare services; and (4) examine common profile characteristics associated with each designation. Data were analyzed from a random sample from 1,958 Texas adults participating in a community assessment. K-means cluster analysis was used to identify natural groupings of individuals based on distance traveled to obtain three healthcare services: medical care, dental care, and prescription medication pick-up. Significant variation in cluster representation and resident characteristics was observed by rural designation. Given widely used taxonomies for designating areas as rural (or provider shortage) in health-related research, this study highlights differences that could influence research results and subsequent program and policy development based on rural designation

Obesity and perceived severity of obstructive sleep apnea-related conditions

This study examined risk factors and perceived severity of obstructive sleep apnea-related conditions among college students based on weight categories. Data collected from 1399 college students were analyzed using multinomial and binary logistic regressions. Overweight and obese participants were more likely to snore and report familial risk for cardiovascular disease compared with their normal weight counterparts. Relative to normal weight participants, obese participants perceived snoring (odds ratio [OR] = 1.10), irritability (OR = 1.16), and high blood pressure (OR = 1.21) as more severe; they perceived erectile dysfunction (OR = 0.89) and cardiovascular disease (OR = 0.71) as less severe. Efforts are needed to identify obstructive sleep apnea risk and create systems for weight loss interventions, screening, and diagnosis. Copyright © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins

The utility of rural and underserved designations in geospatial assessments of distance traveled to healthcare services: Implications for public health research and practice

Health disparities research in rural populations is based on several common taxonomies identified by geography and population density. However, little is known about the implications of different rurality definitions on public health outcomes. To help illuminate the meaning of different rural designations often used in research, service delivery, or policy reports, this study will (1) review the different definitions of rurality and their purposes; (2) identify the overlap of various rural designations in an eight-county Brazos Valley region in Central Texas; (3) describe participant characteristic profiles based on distances traveled to obtain healthcare services; and (4) examine common profile characteristics associated with each designation. Data were analyzed from a random sample from 1,958 Texas adults participating in a community assessment. K-means cluster analysis was used to identify natural groupings of individuals based on distance traveled to obtain three healthcare services: medical care, dental care, and prescription medication pick-up. Significant variation in cluster representation and resident characteristics was observed by rural designation. Given widely used taxonomies for designating areas as rural (or provider shortage) in health-related research, this study highlights differences that could influence research results and subsequent program and policy development based on rural designation. © 2013 Matthew Lee Smith et al

Texercise Effectiveness: Impacts on Physical Functioning and Quality of Life.

This study examines the effectiveness of Texercise Select, a 12-week lifestyle program to improve physical functioning (as measured by gait speed) and quality of life. Baseline and 12-week follow-up assessments were collected from 220 enrollees who were older (mean = 75 years), predominantly female (85%), White (82%), and experiencing multiple comorbidities (mean = 2.4). Linear mixed-models were fitted for continuous outcome variables and GEE models with logit link function for binary outcome variables. At baseline, over 52% of participants had Timed Up-and-Go (TUG) test times of 12 s or more, which indicates below-normal performance. On average, participants showed significant reductions in TUG test scores at the postintervention (11% reduction, p < .001). Participants also showed significant improvements in general health status (p = .002), unhealthy physical days (p = .032), combined unhealthy physical and mental days (p = .006), and days limited from usual activity (p = .045). Findings suggest that performance indicators can be objectively collected and integrated into evaluation designs of community-based, activity-rich lifestyle programs

The Utility of Rural and Underserved Designations in Geospatial Assessments of Distance Traveled to Healthcare Services: Implications for Public Health Research and Practice

Health disparities research in rural populations is based on several common taxonomies identified by geography and population density. However, little is known about the implications of different rurality definitions on public health outcomes. To help illuminate the meaning of different rural designations often used in research, service delivery, or policy reports, this study will (1) review the different definitions of rurality and their purposes; (2) identify the overlap of various rural designations in an eight-county Brazos Valley region in Central Texas; (3) describe participant characteristic profiles based on distances traveled to obtain healthcare services; and (4) examine common profile characteristics associated with each designation. Data were analyzed from a random sample from 1,958 Texas adults participating in a community assessment. K-means cluster analysis was used to identify natural groupings of individuals based on distance traveled to obtain three healthcare services: medical care, dental care, and prescription medication pick-up. Significant variation in cluster representation and resident characteristics was observed by rural designation. Given widely used taxonomies for designating areas as rural (or provider shortage) in health-related research, this study highlights differences that could influence research results and subsequent program and policy development based on rural designation

Texercise select effectiveness: an examination of physical activity and nutrition outcomes.

Given the role of physical activity (PA) and good nutrition to delay the onset and progression of most chronic conditions, effective interventions are needed to influence lifestyle behaviors of community-dwelling populations. The purpose of this study is to examine the effectiveness of Texercise Select to improve health indicators, PA, and dietary behaviors, and confidence to engage in healthful behaviors. Texercise Select, a 12-week exercise program, was delivered. Baseline and 12-week follow-up assessments were collected from 220 participants with baseline data who were aged 45 years and older for this non-randomized one-group pre-post design trial. Linear mixed models were fitted for continuous outcome variables and GEE models with logit link function for binary outcome variables. Significant improvements (P < 0.05) were seen in physical activity scores (d = 0.64 for aerobic activity), weekly fruit/vegetable consumption (d = 0.31), daily water consumption (d = 0.29), as well as PA- and nutrition-related confidence (d =0.38 and 0.21, respectively) and social support (d =0.45). Programs rooted in best practices show promise for positively impacting large numbers of participants and becoming sustainably embedded in communities over time