Pharmacist-managed titration of urate-lowering therapy to streamline gout management.

The treat-to-target approach for serum uric acid is the recommended model in gout management according to the 2012 American College of Rheumatology (ACR) guidelines. Adherence to urate-lowering therapy (ULT) can be difficult for patients due to barriers, which include medication burden, financial hardship, and lack of medical literacy. Our aim was to create a pharmacist-managed referral for the titration of ULT to target serum uric acid (sUA) levels in a complex patient population. We utilized a clinical database to query patients seen at a rheumatology clinic over a 12-month period with an ICD-10 diagnosis for gout. The referral criteria were indications for ULT per the 2012 ACR guidelines. Rheumatology providers, consisting of attendings, fellows, and a physician assistant, were asked to refer the identified patients to the pharmacist-managed titration program. The intervention group consisted of 19 referred patients and the control group consisted of 28 non-referred patients. The baseline sUA (median (IQR)) at the time of referral was 8.8 (2) mg/dL for the intervention group and 7.6 (2.8) mg/dL for the control group (p = 0.2). At the end of the study period, the sUA was 6.1 (1.4) mg/dL for the intervention group and 6.8 (3.2) mg/dL for the control group (p = 0.08). At the end of the study period, 6 of 19 (32%) intervention group and 7 of 28 (25%) control group were at goal (p = 0.3). A newly instituted pharmacist-managed titration program was able to achieve lower average sUA levels in referred patients compared to demographically similar individuals who received standard gout management.

Older adults and high-risk medication administration in the emergency department.

BACKGROUND: Older adults are susceptible to adverse effects from opioids, nonsteroidal anti-inflammatory drugs (NSAIDs), and benzodiazepines (BZDs). We investigated factors associated with the administration of elevated doses of these medications of interest to older adults (≥65 years old) in the emergency department (ED). PATIENTS AND METHODS: ED records were queried for the administration of medications of interest to older adults at two academic medical center EDs over a 6-month period. Frequency of recommended versus elevated ("High doses" were defined as doses that ranged between 1.5 and 3 times higher than the recommended starting doses; "very high doses" were defined as higher than high doses) starting doses of medications, as determined by geriatric pharmacy/medicine guidelines and expert consensus, was compared by age groups (65-69, 70-74, 75-79, 80-84, and ≥85 years), gender, and hospital. RESULTS: There were 17896 visits representing 11374 unique patients >65 years of age (55.3% men, 44.7% women). A total of 3394 doses of medications of interest including 1678 high doses and 684 very high doses were administered to 1364 different patients. Administration of elevated doses of medications was more common than that of recommended doses. Focusing on opioids and BZDs, the 65-69-year age group was much more likely to receive very high doses (1481 and 412 doses, respectively) than the ≥85-year age groups (relative risk [RR] 5.52, 95% CI 2.56-11.90), mainly reflecting elevated opioid dosing (RR 8.28, 95% CI 3.69-18.57). Men were more likely than women to receive very high doses (RR 1.47, 95% CI 1.26-1.72), primarily due to BZDs (RR 2.12, 95% CI 2.07-2.16). CONCLUSION: Administration of elevated doses of opioids and BZDs in the older population occurs frequently in the ED, especially to the 65-69-year age group and men. Further attention to potentially unsafe dosing of high-risk medications to older adults in the ED is warranted.

The Effect of Computerized Physician Order Entry Template Modifications on the Administration of High-Risk Medications in Older Adults in the Emergency Department.

BACKGROUND: Older adults are more susceptible to adverse events when administered certain medications at doses appropriate for younger adults. OBJECTIVE: The aim of this study was to investigate the effect of default geriatric dosing on computerized physician order entry (CPOE) templates on the subsequent administration of recommended starting doses of opioids, benzodiazepines (BZDs) and non-steroidal anti-inflammatory drugs (NSAIDs) to older adults in the emergency department (ED). METHODS: This was a before-after comparison of the frequency of the recommended starting doses of high-risk medications to adults aged 65 years and older. Computerized records were queried for the administration of the above medication classes in two academic EDs over two similar 4-month periods in 2015 and 2016. Between study periods, the doses of high-risk medications on ED CPOE templates were adjusted for older adults based on established pharmacy guidelines and expert consensus. RESULTS: There was a significant improvement in the rate of recommended dose administration of all medications of interest (27.3 vs. 32.5%, p < 0.001). Not surprisingly, the medications that were maximally impacted were also those most frequently prescribed, with a significant increase in the recommended dosing of opioids (29.0 vs. 35.2%, p < 0.001) accounting for the majority of the change. Although there were no differences in BZDs as a group, there were significant differences in selected BZDs such as midazolam and diazepam. Changes in the recommended dosing of NSAIDs could not be determined due to low numbers of administered doses in both phases of the study. CONCLUSION: Simple changes in the CPOE template resulted in increased administration of the recommended starting doses of high-risk medications to older adults in the ED.

Analyzing disparity trends for health care insurance coverage among non-elderly adults in the US: evidence from the Behavioral Risk Factor Surveillance System, 1993-2009.

OBJECTIVE: To explore the changing disparities in access to health care insurance in the United States using time-varying coefficient models. DATA: Secondary data from the Behavioral Risk Factor Surveillance System (BRFSS) from 1993 to 2009 was used. STUDY DESIGN: A time-varying coefficient model was constructed using a binary outcome of no enrollment in health insurance plan versus enrolled. The independent variables included age, sex, education, income, work status, race, and number of health conditions. Smooth functions of odds ratios and time were used to produce odds ratio plots. RESULTS: Significant time-varying coefficients were found for all the independent variables with the odds ratio plots showing changing trends except for a constant line for the categories of male, student, and having three health conditions. Some categories showed decreasing disparities, such as the income categories. However, some categories had increasing disparities in health insurance enrollment such as the education and race categories. CONCLUSIONS: As the Affordable Care Act is being gradually implemented, studies are needed to provide baseline information about disparities in access to health insurance, in order to gauge any changes in health insurance access. The use of time-varying coefficient models with BRFSS data can be useful in accomplishing this task.

Nonsteroidal anti-inflammatory drugs alter vasa recta diameter via pericytes.

We have previously shown that vasa recta pericytes are known to dilate vasa recta capillaries in the presence of PGE2 and contract vasa recta capillaries when endogenous production of PGE2 is inhibited by the nonselective nonsteroidal anti-inflammatory drug (NSAID) indomethacin. In the present study, we used a live rat kidney slice model to build on these initial observations and provide novel data that demonstrate that nonselective, cyclooxygenase-1-selective, and cyclooxygenase -2-selective NSAIDs act via medullary pericytes to elicit a reduction of vasa recta diameter. Real-time images of in situ vasa recta were recorded, and vasa recta diameters at pericyte and nonpericyte sites were measured offline. PGE2 and epoprostenol (a prostacyclin analog) evoked dilation of vasa recta specifically at pericyte sites, and PGE2 significantly attenuated pericyte-mediated constriction of vasa recta evoked by both endothelin-1 and ANG II. NSAIDs (indomethacin > SC-560 > celecoxib > meloxicam) evoked significantly greater constriction of vasa recta capillaries at pericyte sites than at nonpericyte sites, and indomethacin significantly attenuated the pericyte-mediated vasodilation of vasa recta evoked by PGE2, epoprostenol, bradykinin, and S-nitroso-N-acetyl-l-penicillamine. Moreover, a reduction in PGE2 was measured using an enzyme immune assay after superfusion of kidney slices with indomethacin. In addition, immunohistochemical techniques were used to demonstrate the population of EP receptors in the medulla. Collectively, these data demonstrate that pericytes are sensitive to changes in PGE2 concentration and may serve as the primary mechanism underlying NSAID-associated renal injury and/or further compound-associated tubular damage.

A new source of data for public health surveillance: Facebook likes.

BACKGROUND: Investigation into personal health has become focused on conditions at an increasingly local level, while response rates have declined and complicated the process of collecting data at an individual level. Simultaneously, social media data have exploded in availability and have been shown to correlate with the prevalence of certain health conditions. OBJECTIVE: Facebook likes may be a source of digital data that can complement traditional public health surveillance systems and provide data at a local level. We explored the use of Facebook likes as potential predictors of health outcomes and their behavioral determinants. METHODS: We performed principal components and regression analyses to examine the predictive qualities of Facebook likes with regard to mortality, diseases, and lifestyle behaviors in 214 counties across the United States and 61 of 67 counties in Florida. These results were compared with those obtainable from a demographic model. Health data were obtained from both the 2010 and 2011 Behavioral Risk Factor Surveillance System (BRFSS) and mortality data were obtained from the National Vital Statistics System. RESULTS: Facebook likes added significant value in predicting most examined health outcomes and behaviors even when controlling for age, race, and socioeconomic status, with model fit improvements (adjusted R(2)) of an average of 58% across models for 13 different health-related metrics over basic sociodemographic models. Small area data were not available in sufficient abundance to test the accuracy of the model in estimating health conditions in less populated markets, but initial analysis using data from Florida showed a strong model fit for obesity data (adjusted R(2)=.77). CONCLUSIONS: Facebook likes provide estimates for examined health outcomes and health behaviors that are comparable to those obtained from the BRFSS. Online sources may provide more reliable, timely, and cost-effective county-level data than that obtainable from traditional public health surveillance systems as well as serve as an adjunct to those systems.

State socioeconomic indicators and self-reported hypertension among US adults, 2011 behavioral risk factor surveillance system.

INTRODUCTION: Hypertension is the leading cause of chronic disease and premature death in the United States. To date, most risk factors for hypertension have been identified at the individual (micro) level. The association of macro-level (area) socioeconomic factors and hypertension prevalence rates in the population has not been studied extensively. METHODS: We used the 2011 Behavioral Risk Factor Surveillance System to examine whether state socioeconomic status (SES) indicators predict the prevalence of self-reported hypertension. Quintiles of state median household income, unemployment rate among the population aged 16 to 64 years, and the proportion of the population under the national poverty line were used as the proxy for state SES. Hypertension status was determined by the question "Have you ever been told by a doctor, nurse, or other health professional that you have high blood pressure?" Logistic regression was used to assess the relationship between state SES and hypertension with adjustment for individual covariates (demographic and socioeconomic factors and lifestyle behaviors). RESULTS: States with a median household income of $43,225 or less (odds ratio [95% confidence interval] = 1.16 [1.08-1.25]) and states with 18.7% or more of residents living below the poverty line (odds ratio [95% confidence interval] = 1.14 [1.04-1.24]) had a higher prevalence of hypertension than states with the most residents in the most advantageous quintile of the indicators. CONCLUSION: The observed state SES-hypertension association indicates that area SES may contribute to the burden of hypertension in community-dwelling adults.

A bibliometric analysis of U.S.-based research on the Behavioral Risk Factor Surveillance System.

BACKGROUND: Since Alan Pritchard defined bibliometrics as "the application of statistical methods to media of communication" in 1969, bibliometric analyses have become widespread. To date, however, bibliometrics has not been used to analyze publications related to the U.S. Behavioral Risk Factor Surveillance System (BRFSS). PURPOSE: To determine the most frequently cited BRFSS-related topical areas, institutions, and journals. METHODS: A search of the Web of Knowledge database in 2013 identified U.S.-published studies related to BRFSS, from its start in 1984 through 2012. Search terms were BRFSS, Behavioral Risk Factor Surveillance System, or Behavioral Risk Survey. The resulting 1,387 articles were analyzed descriptively and produced data for VOSviewer, a computer program that plotted a relevance distance-based map and clustered keywords from text in titles and abstracts. RESULTS: Topics, journals, and publishing institutions ranged widely. Most research was clustered by content area, such as cancer screening, access to care, heart health, and quality of life. The American Journal of Preventive Medicine and American Journal of Public Health published the most BRFSS-related papers (95 and 70, respectively). CONCLUSIONS: Bibliometrics can help identify the most frequently published BRFSS-related topics, publishing journals, and publishing institutions. BRFSS data are widely used, particularly by CDC and academic institutions such as the University of Washington and other universities hosting top-ranked schools of public health. Bibliometric analysis and mapping provides an innovative way of quantifying and visualizing the plethora of research conducted using BRFSS data and summarizing the contribution of this surveillance system to public health.

Surveillance for certain health behaviors among states and selected local areas--Behavioral Risk Factor Surveillance System, United States, 2011.

PROBLEM: Chronic conditions (e.g., heart diseases, cerebrovascular diseases, malignant neoplasms, and diabetes), infectious diseases (e.g., influenza and pneumonia), and unintentional injuries are the leading causes of morbidity and mortality in the United States. Adopting positive health behaviors (e.g., staying physically active, quitting tobacco use, always wearing seatbelts in automobiles) and accessing preventive health-care services (e.g., getting routine physical checkups, receiving recommended vaccinations on appropriate schedules, checking blood pressure and cholesterol and maintaining them at healthy levels) can reduce morbidity and mortality from chronic and infectious diseases. Monitoring the health-risk behaviors of a community's residents as well as their participation in and access to health-care services provides information critical to the development and maintenance of intervention programs as well as the implementation of strategies and health policies that address public health problems at the levels of state and territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2011. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. In 2011, BRFSS adopted a new weighting methodology (iterative proportional fitting, or raking) and for the first time included data from respondents who solely use cellular telephones (i.e., do not use landlines). This report presents results for the year 2011 for all 50 states, the District of Columbia, and participating U.S. territories including the Commonwealth of Puerto Rico and Guam, 198 MMSAs, and 224 counties. RESULTS: In 2011, the estimated prevalence of health-risk behaviors, chronic conditions, access to health care, and use of preventive health services substantially varied by state and territory, MMSA, and county. The following portion of this abstract summarizes selected results by some BRFSS measures. Each set of proportions refers to the range of estimated prevalence of the behaviors, diseases, or use of preventive health-care services as reported by survey respondents. Adults with good or better health: 65.5%-88.0% for states and territories, 72.0%-92.4% for MMSAs, and 74.3%-94.2% for counties. Adults aged <65 years with health-care coverage: 65.4%-92.3% for states and territories, 66.8%-94.7% for MMSAs, and 61.3%-95.6% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 28.6%-70.2% for states and territories, 42.0% -80.0% for MMSAs, and 41.1%-78.2% for counties. Adults meeting the federal physical activity recommendations for both aerobic physical activity and muscle-strengthening activity: 8.5%-27.3% for states and territories, 7.3%-32.0% for MMSAs, and 11.0%-32.0% for counties. Current cigarette smokers: 11.8%-30.5% for states and territories, 8.4%-30.6% for MMSAs, and 8.1%-35.2% for counties. Binge drinking during the last month: 10.0%-25.0% for states and territories, 7.0%-32.5% for MMSAs, and 7.0%-32.5% for counties. Adults always wearing seatbelts while driving or riding in a car: 63.9%-94.1% for states and territories, 51.8%-96.9% for MMSAs, and 51.8%-97.0% for counties. Adults aged ≥18 who were obese: 20.7%-34.9% for states and territories, 15.1%-37.2% for MMSAs, and 15.1%-41.0% for counties. Adults with diagnosed diabetes: 6.7%-13.5% for states and territories, 3.9%-15.9% for MMSAs, and 3.5%-18.3% for counties. Adults with current asthma: 4.3%-12.1% for states and territories, 2.9%-14.1% for MMSAs, and 2.9%-15.6% for counties. Adults aged ≥45 years who have had coronary heart disease: 7.1%-16.2% for states and territories, 5.0%-19.4% for MMSAs, and 3.9%-18.5% for counties. Adults using special equipment because of any health problem: 5.1%-11.3% for states and territories, 3.9%-13.2% for MMSAs, and 2.4%-14.7% for counties. INTERPRETATION: Because of the recent change in the BRFSS methodology, the results should not be compared with those from previous years. The findings in this report indicate that substantial variations exist in the reported health-risk behaviors, chronic diseases, disabilities, access to health-care services, and the use of preventive health services among U.S. adults at state and territory, MMSA, and county levels. The findings underscore the continued need for surveillance of health-risk behaviors, chronic conditions, and use of preventive health-care services as well as surveillance-informed programs designed to help improve health-related risk behaviors, levels of chronic disease and disability, and the access to and use of preventive services and health-care resources. PUBLIC HEALTH ACTION: State and local health departments and agencies can continue to use BRFSS data to identify populations at high risk for certain unhealthy behaviors and chronic conditions. Additionally, they can use the data to inform the design, implementation, direction, monitoring, and evaluation of public health programs, policies, and use of preventive services that can lead to a reduction in morbidity and mortality among U.S. residents.

Surveillance for certain health behaviors among States and selected local areas - United States, 2010.

PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. RESULTS: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.

Extracellular ATP signaling in equine digital blood vessels.

The functional distribution of ATP-activated P2 receptors is well characterized for many blood vessels, but not in the equine digital vasculature, which is a superficial vascular bed that displays thermoregulatory functions and has been implicated in ischemia-reperfusion injuries of the hoof. Isolated equine digital arteries (EDA) and veins (EDV) were submitted to isometric tension studies, whereby electric field stimulation (EFS) and concentration-response curves to exogenously applied agonists were constructed under low tone conditions. Additionally, immunofluorescent localization of P2X and P2Y receptor subtypes was performed. EFS-induced constriction was abolished by tetrodotoxin (1 µM, n=4). Endothelium denudation did not modify the EFS-induced constriction (n=3). The EFS-induced constriction in EDA was inhibited by phentolamine (67.7±1.8%, n=6; 10 µM), and by the non-selective P2 receptor antagonist suramin (46.2±1.3%, n=6; 10 µM). EFS-induced constriction in EDV was reduced by suramin (48.2±2.4%, n=6; 10 µM), the P2 receptor antagonist pyridoxalphosphate-6-azophenyl-2',4'-disulfonic acid (58.3±4.5%, n=6; 10 µM), and phentolamine (23.2±2.5%, n=6; 10 µM). Exogenous methoxamine and ATP mimicked EFS-induced constriction in EDA and EDV. Immunostaining for P2X1, P2X2 and P2X3, and, for P2X1 and P2X7 receptor subunits were observed in EDA and EDV smooth muscle and adventitia, respectively. ATP and noradrenaline are co-transmitters in sympathetic nerves supplying the equine digital vasculature, noradrenaline being the dominant agonist in EDA, and ATP in EDV. In conclusion, P2X receptors mediate vasoconstriction in EDA and EDV, although different P2X subunits are involved in these vessels. The physiological significance of this finding in relation to thermoregulatory functions and equine laminitis is discussed.

Obesity prevention: the impact of local health departments.

OBJECTIVE: To examine the association between bodyweight status and provision of population-based prevention services. DATA SOURCES: The National Association of City and County Health Officials 2005 Profile survey data, linked with two cross-sections of the Behavioral Risk Factor Surveillance System (BRFSS) survey in 2004 and 2005. STUDY DESIGN: Multilevel logistic regressions were used to examine the association between provision of obesity-prevention services and the change in risk of being obese or morbidly obese among BRFSS respondents. The estimation sample was stratified by sex. Low-income samples were also examined. Falsification tests were used to determine whether there is counterevidence. PRINCIPAL FINDINGS: Provision of population-based obesity-prevention services within the jurisdiction of local health departments and specifically those provided by the local health departments are associated with reduced risks of obesity and morbid obesity from 2004 to 2005. The magnitude of the association appears to be stronger among low-income populations and among women. Results of the falsification tests provide additional support of the main findings. CONCLUSIONS: Population-based obesity-prevention services may be useful in containing the obesity epidemic.

Factors Affecting Mental Health of Local Staff Working in the Vanni Region, Sri Lanka.

In the aftermath of the civil war that extended from 1983-2009, humanitarian organizations provided aid to the conflict-affected population of the Vanni region in northern Sri Lanka. In August, 2010, a needs assessment was conducted to determine the mental-health status of Sri Lankan national humanitarian aid staff working in conditions of stress and hardship, and consider contextual and organizational characteristics influencing such status. A total of 398 staff members from nine organizations working in the Vanni area participated in the survey, which assessed stress, work characteristics, social support, coping styles, and symptoms of psychological distress. Exposure to traumatic, chronic, and secondary stressors was common. Nineteen percent of the population met criteria for posttraumatic stress disorder (PTSD), 53% of participants reported elevated anxiety symptoms, and 58% reported elevated depression symptoms. Those reporting high levels of support from their organizations were less likely to suffer depression and PTSD symptoms than those reporting lower levels of staff support (OR =.23, p < .001) and (OR =.26, p < .001), respectively. Participants who were age 55 or older were significantly less likely to suffer anxiety symptoms than those who were between 15 and 34 years of age (OR =.13, p = .011). Having experienced travel difficulties was significantly associated with more anxiety symptoms (OR = 3.35, p < .001). It was recommended that organizations provide stress-management training and increase support to their staff.

Psychological distress, depression, anxiety, and burnout among international humanitarian aid workers: a longitudinal study.

BACKGROUND: International humanitarian aid workers providing care in emergencies are subjected to numerous chronic and traumatic stressors. OBJECTIVES: To examine consequences of such experiences on aid workers' mental health and how the impact is influenced by moderating variables. METHODOLOGY: We conducted a longitudinal study in a sample of international non-governmental organizations. Study outcomes included anxiety, depression, burnout, and life and job satisfaction. We performed bivariate regression analyses at three time points. We fitted generalized estimating equation multivariable regression models for the longitudinal analyses. RESULTS: Study participants from 19 NGOs were assessed at three time points: 212 participated at pre-deployment; 169 (80%) post-deployment; and 154 (73%) within 3-6 months after deployment. Prior to deployment, 12 (3.8%) participants reported anxiety symptoms, compared to 20 (11.8%) at post-deployment (p = 0.0027); 22 (10.4%) reported depression symptoms, compared to 33 (19.5%) at post-deployment (p = 0.0117) and 31 (20.1%) at follow-up (p = .00083). History of mental illness (adjusted odds ratio [AOR] 4.2; 95% confidence interval [CI] 1.45-12.50) contributed to an increased risk for anxiety. The experience of extraordinary stress was a contributor to increased risk for burnout depersonalization (AOR 1.5; 95% CI 1.17-1.83). Higher levels of chronic stress exposure during deployment were contributors to an increased risk for depression (AOR 1.1; 95% CI 1.02-1.20) comparing post- versus pre-deployment, and increased risk for burnout emotional exhaustion (AOR 1.1; 95% CI 1.04-1.19). Social support was associated with lower levels of depression (AOR 0.9; 95% CI 0.84-0.95), psychological distress (AOR = 0.9; [CI] 0.85-0.97), burnout lack of personal accomplishment (AOR 0.95; 95% CI 0.91-0.98), and greater life satisfaction (p = 0.0213). CONCLUSIONS: When recruiting and preparing aid workers for deployment, organizations should consider history of mental illness and take steps to decrease chronic stressors, and strengthen social support networks.

The role of geographic scale in testing the income inequality hypothesis as an explanation of health disparities.

This study re-examined the role of geographic scale in measuring income inequality and testing the income inequality hypothesis (IIH) as an explanation of health disparities. We merged Behavioral Risk Factor Surveillance System (BRFSS) 2000 data with income inequality indices constructed at different geographic scales to test the association between income inequality and four different health indicators, i.e., self-assessed health status as a morbidity measure, vaccination against influenza as a measure of use of preventive healthcare, having any kind of health insurance as a measure of access, and obesity as a modifiable health risk factor measure. Multilevel models are used in our regression of the health indicators on measures of income inequalities and control variables. Our analysis suggests that because income inequality is a contextual variable, income inequalities measured at different geographic scales have different interpretations and relate to societal characteristics at different levels. Therefore, a rejection of the IIH at one level does not necessarily negate the possibility that income inequality affects health at another level. Assessment across a variety of scales is needed to have a comprehensive picture of the IIH in any given study. Empirical results also show that whether the IIH holds could depend on the sex group examined and the health indicator used, which implies different mechanisms of IIH exist for different sex groups and health indicators, in addition to the geographic scale. The role of geographic scale should be more rigorously considered in social determinants of health research.

Evaluation of variance estimators for the concentration and health achievement indices: a Monte Carlo simulation.

Although the concentration index (CI) and the health achievement index (HAI) have been extensively used, previous studies have relied on bootstrapping to compute the variance of the HAI, whereas competing variance estimators exist for the CI. This paper provides methods of statistical inference for the HAI and compares the available variance estimators for both the CI and the HAI using Monte Carlo simulation. Results for both the CI and the HAI suggest that analytical methods and bootstrapping are well behaved. The convenient regression method gives standard errors close to the other methods, provided the CI is not too large (< 0.2), but otherwise tends to understate the standard errors. In our simulation setting, the improvement from the Newey-West correction over the convenient regression method has mixed evidence when the CI ≤ 0.1 and is modest when the CI > 0.1. Published 2011. This article is a US Government work and is in the public domain in the USA.

Multiphoton imaging of the functioning kidney.

Translating discoveries made in isolated renal cells and tubules to the in vivo situation requires the assessment of cellular function in intact live organs. Multiphoton imaging is a form of fluorescence microscopy that is ideally suited to working with whole tissues and organs, but adequately loading cells with fluorescence dyes in vivo remains a challenge. We found that recirculation of fluorescence dyes in the rat isolated perfused kidney (IPK) resulted in levels of intracellular loading that would be difficult to achieve in vivo. This technique allowed the imaging of tubular cell structure and function with multiphoton microscopy in an intact, functioning organ. We used this approach to follow processes in real time, including (1) relative rates of reactive oxygen species (ROS) production in different tubule types, (2) filtration and tubular uptake of low-molecular-weight dextrans and proteins, and (3) the effects of ischemia-reperfusion injury on mitochondrial function and cell structure. This study demonstrates that multiphoton microscopy of the isolated perfused kidney is a powerful technique for detailed imaging of cell structure and function in an intact organ.

Rationale for regular reporting on health disparities and inequalities - United States.

Most U.S. residents want a society in which all persons live long, healthy lives; however, that vision is yet to be realized fully. As two of its primary goals, CDC aims to reduce preventable morbidity and mortality and to eliminate disparities in health between segments of the U.S. population. The first of its kind, this 2011 CDC Health Disparities and Inequalities Report (2011 CHDIR) represents a milestone in CDC's long history of working to eliminate disparities. Health disparities are differences in health outcomes and their determinants between segments of the population, as defined by social, demographic, environmental, and geographic attributes. Health inequalities, which is sometimes used interchangeably with the term health disparities, is more often used in the scientific and economic literature to refer to summary measures of population health associated with individual- or group-specific attributes (e.g., income, education, or race/ethnicity). Health inequities are a subset of health inequalities that are modifiable, associated with social disadvantage, and considered ethically unfair. Health disparities, inequalities, and inequities are important indicators of community health and provide information for decision making and intervention implementation to reduce preventable morbidity and mortality. Except in the next section of this report that describes selected health inequalities, this report uses the term health disparities as it is defined in U.S. federal laws and commonly used in the U.S. public health literature to refer to gaps in health between segments of the population.

Examining the role of gender in career advancement at the Centers for Disease Control and Prevention.

During the past decade, efforts to promote gender parity in the healing and public health professions have met with only partial success. We provide a critical update regarding the status of women in the public health profession by exploring gender-related differences in promotion rates at the nation's leading public health agency, the Centers for Disease Control and Prevention (CDC). Using personnel data drawn from CDC, we found that the gender gap in promotion has diminished across time and that this reduction can be attributed to changes in individual characteristics (e.g., higher educational levels and more federal work experience). However, a substantial gap in promotion that cannot be explained by such characteristics has persisted, indicating continuing barriers in women's career advancement.