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.

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.

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.

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.

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.

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.

Does a multifaceted environmental intervention alter the impact of asthma on inner-city children?

OBJECTIVE: To evaluate the impact of a multifaceted environmental and educational intervention on the indoor environment and health in 5-12-year-old children with asthma living in urban environments. DESIGN: Changes in indoor allergen levels and asthma severity measurements were compared between children who were randomized to intervention and delayed intervention groups in a 14-month prospective field trial. Intervention group households received dust mite covers, a professional house cleaning, and had roach bait and trays placed in their houses. RESULTS: Of 981 eligible children, 410 (42%) were enrolled; 161 (40%) completed baseline activities and were randomized: 84 to intervention and 77 to delayed intervention groups. At the study's end, dust mite levels were 163% higher than at baseline for the delayed intervention group. Overall asthma severity scores did not change. However, the median functional severity score (FSS) component of the severity score improved more in the intervention group (33% vs. 20%) than in the delayed intervention group. At the study's end, the median FSSs for the intervention group improved 25% compared with the delayed intervention group, (p<0.01). Differences between groups for medication use, emergency department (ED) visits or hospitalization were not significant. CONCLUSIONS: Despite low retention, the intervention resulted in decreased dust mite allergen levels and increased FSSs among the intervention group. The interventions probably contributed to the improvements, especially among the more severely affected children. This study highlights the complexities of designing and assessing the outcomes from a multifaceted asthma intervention.

Blood lead levels and risk factors for lead poisoning among children in a Mexican smelting community.

The authors evaluated mean blood lead levels (BLLs) and the prevalence of elevated BLLs in children 1-6 yr of age living in Torreón, Mexico, and assessed risk factors for lead exposure in these children. The study involved a simple random sample of households in the area around a local smelter, as well as a 2-stage cluster sample of neighborhoods and households in the remainder of Torreón. The geometric mean BLL of children in this study (N = 367) was 6.0 microg/dl (95% confidence interval [CI] = 5.2, 6.8) (0.29 microM/l [95% CI = 0.25, 0.33]). Twenty percent of the children had BLLs > or = 10 microg/dl (0.48 microM/l), and 5% had BLLs > or = 20 microg/dl (0.97 microM/l). In multivariate analyses, distance from the smelter, amount of income, and education level of the primary caregiver predicted BLLs. In the environmental risk factor subsample (n = 124), dust and soil lead levels were associated with BLLs and distance from the smelter. BLLs in this study were moderately high, but the levels were lower than those in other smelting communities prior to remediation.

Blood lead levels and risk factors for lead poisoning among children in Jakarta, Indonesia.

The phase-out of leaded gasoline began in Jakarta, Indonesia on July 1, 2001. We evaluated mean blood lead levels (BLLs) and the prevalence of elevated BLLs of Jakarta school children and assessed risk factors for lead exposure in these children before the beginning of the phase-out activities. The study involved a population-based, cross-sectional blood lead survey that included capillary blood lead sampling and a brief questionnaire on risk factors for lead poisoning. A cluster survey design was used. Forty clusters, defined as primary schools in Jakarta, and 15 2nd- and 3rd-grade children in each cluster were randomly selected for participation in the study. The average age of children in this study was 8.6 years (range 6-12) and the geometric mean BLL of the children was 8.6 microg/dl (median: 8.6 microg/dl; range: 2.6-24.1 microg/dl) (n=397). Thirty-five percent of children had BLLs > or =10 microg/dl and 2.4% had BLLs > or =20 microg/dl. Approximately one-fourth of children had BLLs 10-14.9 microg/dl. In multivariate models, level of education of the child's primary caregiver, water collection method, home varnishing and occupational recycling of metals, other than lead, by a family member were predictors of log BLLs after adjustment for age and sex. BLLs of children who lived near a highway or major intersection were significantly higher than those of children who lived near a street with little or no traffic when level of education was not included in the model. Water collection method was a significant predictor of BLLs > or =10 microg/dl after adjustment for age and sex. BLLs in children in this study were moderately high and consistent with BLLs of children in other countries where leaded gasoline is used. With the phase-out of leaded gasoline, BLLs of children in Jakarta are expected to rapidly decline as they have in other countries that have phased lead out of gasoline.

Health programmes and policies associated with decreased mortality in displaced people in postemergency phase camps: a retrospective study.

BACKGROUND: An estimated 35 million people have been displaced by complex humanitarian emergencies. International humanitarian organisations define policies and provide basic health and nutrition programmes to displaced people in postemergency phase camps. However, many policies and programmes are not based on supporting data. We aimed to identify associations between age-specific mortality and health indicators in displaced people in postemergency phase camps and to define the programme and policy implications of these data. METHODS: In 1998-2000, we obtained and analysed retrospective mortality data for the previous 3 months in 51 postemergency phase camps in seven countries. We did multivariate regression with 18 independent variables that affect crude mortality rates (CMRs) and mortality rates in children younger than 5 years (<5 MRs) in complex emergencies. We compared these results with recommended emergency phase minimum indicators. FINDINGS: Recently established camps had higher CMRs and <5 MRs and fewer local health workers per person than did camps that had been established earlier. Camps that were close to the border or region of conflict or had longer travel times to referral hospitals had higher CMRs than did those located further away or with shorter travel times, and camps with less water per person and high rates of diarrhoea had higher <5 MRs than did those with more water and lower rates of diarrhoea. Distance to border or area of conflict, water quantity, and the number of local health workers per person exceeded the minimum indicators recommended in the emergency phase. INTERPRETATION: Health and nutrition policies and programmes for displaced people in postemergency phase camps should be evidence-based. Programmes in complex emergencies should focus on indicators proven to be associated with mortality. Minimum indicators should be developed for programmes targeting displaced people in postemergency phase camps.

Wildland forest fire smoke: health effects and intervention evaluation, Hoopa, California, 1999.

OBJECTIVES: To assess the health effects of exposure to smoke from the fifth largest US wildfire of 1999 and to evaluate whether participation in interventions to reduce smoke exposure prevented adverse lower respiratory tract health effects among residents of the Hoopa Valley National Indian Reservation in northwestern California. DESIGN: Observational study: epidemiologists from the Centers for Disease Control and Prevention retrospectively reviewed medical records at the local medical center and conducted survey interviews of reservation residents. SETTING: Humboldt County, California. PARTICIPANTS: Interviews were completed with 289 of 385 residents, representing 26% of the households on the reservation. Of the 289 participants, 92 (31.8%) had preexisting cardiopulmonary conditions. RESULTS: During the weeks of the forest fire, medical visits for respiratory illnesses increased by 217 visits (from 417 to 634 visits, or by 52%) over the previous year. Survey results indicated that although 181 (62.6%) of 289 participants reported worsening lower respiratory tract symptoms, those with preexisting cardiopulmonary conditions reported more symptoms before, during, and after the smoke episode. An increased duration of the use of high-efficiency particulate air cleaners and the recollection of public service announcements were associated with a reduced odds of reporting adverse health effects of the lower respiratory tract. No protective effects were observed for duration of mask use or evacuation. CONCLUSIONS: Timely actions undertaken by the clinical staff of the local medical center appeared beneficial to the respiratory health of the community. Future programs that reduce economic barriers to evacuation during smoke episodes may also improve intervention participation rates and decrease smoke exposures. Although promising, the effectiveness of these and other interventions need to be confirmed in a prospective community intervention trial.