Peter Baltrus

Prevalence, Treatment, and Control of Depressive Symptoms in the United States: Results from the National Health and Nutrition Examination Survey (NHANES), 2005–2008

Background:Depression remains a major public health problem that is most often evaluated and treated in primary care settings. The objective of this study was to examine the prevalence, treatment, and control of depressive symptoms in a national data sample using a common primary care screening tool for depression. Methods:We analyzed a sample of adults (n = 4836) from 2005 to 2008 National Health and Nutrition Examination Survey data. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) to determine the overall prevalence, rates of treatment, and antidepressant control of mild, moderate, moderately severe, and severe depressive symptoms. Results:Of the sample, 20.1% reported significant depressive symptoms (PHQ-9) score, ≥5), the majority of whom had mild depressive symptoms (PHQ-9) score, 5–9). Even among individuals with severe depressive symptoms, a large percentage (36.9%) received no treatment from a mental health professional or with antidepressant medication. Of those taking antidepressants, 26.4% reported mild depressive symptoms and 18.8% had moderate, moderately severe, or severe depressive symptoms. Conclusions:Despite greater awareness and treatment of depression in primary care settings, the prevalence of depressive symptoms remains high, treatment levels remain low, and control of depressive symptoms are suboptimal. Primary care providers need to continue to focus their efforts on diagnosing and effectively treating this important disease.

Race/ethnicity, life-course socioeconomic position, and body weight trajectories over 34 years : The alameda county study

OBJECTIVES We investigated whether race differences in weight gain over 34 years were because of socioeconomic position (SEP) and psychosocial and behavioral factors (physical activity, cigarette smoking, alcohol consumption, depression, marital status, number of children). We used a life-course approach to SEP with 4 measures of SEP (childhood SEP, education, occupation, income) and a cumulative measure of SEP. METHODS We used mixed models and data collected from the Alameda County Study to examine the association between race and weight change slopes and baseline weight in men (n=1186) and women (n=1375) aged 17 to 40 years at baseline (in 1965). RESULTS All subjects gained weight over time. African American women weighed 4.96 kg (P < .001) more at baseline and gained 0.10 kg/year (P = .043) more weight than White women. Black men weighed 2.41 kg (P = .006) more at baseline but did not gain more weight than White men. The association of race with weight gain in women was largely because of cumulative SEP score. CONCLUSIONS Interventions to prevent overweight and obesity should begin early in life and target the socioeconomically disadvantaged.

Cardiovascular risk factors among Asian Americans: results from a National Health Survey.

PURPOSE We assessed the prevalence of major cardiovascular disease (CVD) risk factors among Chinese, Asian Indian, Filipino, and other Asian populations compared to non-Hispanic Whites in the United States. METHODS We analyzed aggregated data from the National Health Interview Survey (NHIS) from 2003 to 2005. Bivariate analyses were used to determine differences in the prevalence of CVD risk factors among Asian subgroups and white adults. Logistic regression analyses were also conducted to compare each Asian subgroup with white adults after taking sociodemographic variables into account. RESULTS The unadjusted prevalence of physical inactivity was highest among Asian Indians and other Asians. After we controlled for covariates, Asian Indians still had higher odds of physical inactivity than Whites (odds ratio [OR]=1.50, 95% confidence interval [CI]=1.22-1.84). All Asian ethnic groups were significantly less likely than Whites to report smoking, obesity, and binge drinking. Compared with Whites, Filipinos were more likely to have hypertension (OR=1.18, 95% CI=1.02-1.44) and Asian Indians were more likely to have diabetes (OR=2.27, 95% CI=1.63-3.20). CONCLUSION Although Asian race was generally associated with lower risk for CVD, certain risk factors were particularly high among some Asian subgroups. Future interventions should specify the needs of specific subgroups and design culturally specific programs to reduce health risk behaviors in each Asian subpopulation.

Black–White Mortality From HIV in the United States Before and After Introduction of Highly Active Antiretroviral Therapy in 1996

OBJECTIVES We sought to describe Black-White differences in HIV disease mortality before and after the introduction of highly active antiretroviral treatment (HAART). METHODS Black-White mortality from HIV is described for the nation as a whole. We performed regression analyses to predict county-level mortality for Black men aged 25-84 years and the corresponding Black:White male mortality ratios (disparities) in 140 counties with reliable Black mortality for 1999-2002. RESULTS National Black-White disparities widened significantly after the introduction of HAART, especially among women and the elderly. In county regression analyses, contextual socioeconomic status (SES) was not a significant predictor of Black:White mortality rate ratio after we controlled for percentage of the population who were Black and percentage of the population who were Hispanic, and neither contextual SES nor race/ethnicity were significant predictors after we controlled for pre-HAART mortality. Contextual SES, race, and pre-HAART mortality were all significant and independent predictors of mortality among Black men. CONCLUSIONS Although nearly all segments of the Black population experienced widened post-HAART disparities, disparities were not inevitable and tended to reflect pre-HAART levels. Public health policymakers should consider the hypothesis of unequal diffusion of the HAART innovation, with place effects rendering some communities more vulnerable than others to this potential problem.

Presence of a Community Health Center and Uninsured Emergency Department Visit Rates in Rural Counties

CONTEXT Community health centers (CHCs) provide essential access to a primary care medical home for the uninsured, especially in rural communities with no other primary care safety net. CHCs could potentially reduce uninsured emergency department (ED) visits in rural communities. PURPOSE We compared uninsured ED visit rates between rural counties in Georgia that have a CHC clinic site and counties without a CHC presence. METHODS We analyzed data from 100% of ED visits occurring in 117 rural (non-metropolitan statistical area [MSA]) counties in Georgia from 2003 to 2005. The counties were classified as having a CHC presence if a federally funded (Section 330) CHC had a primary care delivery site in that county throughout the study period. The main outcome measure was uninsured ED visit rates among the uninsured (all-cause ED visits and visits for ambulatory care sensitive conditions). Poisson regression models were used to examine the relationship between ED rates and the presence of a CHC. To ensure that the effects were unique to the uninsured population, we ran similar analyses on insured ED visits. FINDINGS Counties without a CHC primary care clinic site had 33% higher rates of uninsured all-cause ED visits per 10,000 uninsured population compared with non-CHC counties (rate ratio [RR] 1.33, 95% confidence interval [CI] 1.11-1.59). Higher ED visit rates remained significant (RR 1.21, 95% CI 1.02-1.42) after adjustment for percentage of population below poverty level, percentage of black population, and number of hospitals. Uninsured ED visit rates were also higher for various categories of diagnoses, but remained statistically significant on multivariate analysis only for ambulatory care sensitive conditions (adjusted RR = 1.22, 95% CI 1.01-1.47). No such relationship was found for ED visit rates of insured patients (RR 1.06, 95% CI 0.92-1.22). CONCLUSIONS The absence of a CHC is associated with a substantial excess in uninsured ED visits in rural counties, an excess not seen for ED visit rates among the insured.

Black White Disparities in Receiving a Physician Recommendation for Colorectal Cancer Screening and Reasons for not Undergoing Screening

There is consensus that all adults over 50 years of age, regardless of gender, race, or ethnicity, should receive a physician recommendation for colorectal cancer (CRC) screening. Disparities in CRC screening result in poorer health outcomes for Blacks than for Whites. The purpose of this study was to determine whether there are Black-White differences in receiving a physician recommendation for CRC screening and reasons for undergoing screening. With 12,729 U.S. adults ages 50 to 74 included in the analysis, Whites were more likely than Blacks to report receiving a physician recommendation for CRC screening. Based on age-adjusted odds ratio, one out of three Blacks were less likely to report receiving a CRC screening recommendation from their physician (OR=0.68, 95% CI 0.57,0.81). This association persisted after adjusting for socioeconomic and other health-related factors (OR=0.61; 95% CI 0.53,0.71). This study suggests that additional steps need to be taken to reduce cancer health disparities.

Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009

US breast cancer deaths have been declining since 1989, but African American women are still more likely than white women to die of breast cancer. Black/white disparities in breast cancer mortality rate ratios have actually been increasing.

Geographic and racial variation in asthma prevalence and emergency department use among Medicaid-enrolled children in 14 southern states

Abstract Background: Despite evidence-based prevention and practice guidelines, asthma prevalence, treatment, and outcomes vary widely at individual and community levels. Asthma disproportionate/ly affects low-income and minority children, who comprise a large segment of the Medicaid population. Methods: 2007 Medicaid claims data from 14 southern states was mapped for 556 counties to describe the local area variation in 1-year asthma prevalence rates, emergency department (ED) visit rates, and racial disparity rate ratios. Results: One-year period prevalence of asthma ranged from 2.8% in Florida to 6.4% in Alabama, with a median prevalence rate of 4.1%. At the county level, the prevalence was higher for Black children and ranged from 1.03% in Manatee County, FL, to 21.0% in Hockley County, TX. Black–White rate ratios of prevalence ranged from 0.49 in LeFlore County, MS, to 3.87 in Flagler County, FL. Adjusted asthma ED visit rates ranged from 2.2 per 1000 children in Maryland to 16.5 in Alabama, with a median Black–White ED-visit rate ratio of 2.4. Rates were higher for Black children, ranging from 0.80 per 1000 in Wicomico County, MD, to 70 per 1000 in DeSoto County, FL. Rate ratios of ED visits ranged from 0.25 in Vernon Parish, LA, to 25.28 in Nelson County, KY. Conclusions and relevance: Low-income children with Medicaid coverage still experience substantial variation in asthma prevalence and outcomes from one community to another. The pattern of worse outcomes for Black children also varies widely across counties. Eliminating this variation could substantially improve overall outcomes and eliminate asthma disparities.

Presence of Medical Schools May Contribute to Reducing Breast Cancer Mortality and Disparities

Understanding differences among counties more or less successful in addressing breast cancer (BC) mortality disparities is important. Medical resources may be more available in counties with BC mortality rates (BCMR) low and similar for White and Black women. Based on Black and White BCMR we classified selected counties in four types from failing (high BCMR for both groups of women) to successful (low BCMR for both). Medical resource data were from Area Resource Files. In multivariate analyses, number of physicians or hospitals, HMO penetration, and proportion of hospitals with mammography centers did not predict county type. The proportion of hospitals with medical schools predicted counties being with Black:White disparities vs. with reverse disparities (OR 0.96, CI 0.94–0.99), or being successful vs. failing (OR 1.03, CI 1.00–1.06) or vs. with disparities (OR 1.04, CI 1.01–1.07). Medical resources did not explain county type differences, but type of care available may be important.

Paths to Success: Optimal and Equitable Health Outcomes for All

U.S. health disparities are real, pervasive, and persistent, despite dramatic improvements in civil rights and economic opportunity for racial and ethnic minority and lower socioeconomic groups in the United States. Change is possible, however. Disparities vary widely from one community to another, suggesting that they are not inevitable. Some communities even show paradoxically good outcomes and relative health equity despite significant social inequities. A few communities have even improved from high disparities to more equitable and optimal health outcomes. These positive-deviance communities show that disparities can be overcome and that health equity is achievable. Research must shift from defining the problem (including causes and risk factors) to testing effective interventions, informed by the natural experiments of what has worked in communities that are already moving toward health equity. At the local level, we need multi-dimensional interventions designed in partnership with communities and continuously improved by rapid-cycle surveillance feedback loops of community-level disparities metrics. Similarly coordinated strategies are needed at state and national levels to take success to scale. We propose ten specific steps to follow on a health equity path toward optimal and equitable health outcomes for all Americans.