Faculty Bibliography

This study aims to assess the relationship between county-level fatal crash injuries and road environmental characteristics at all times of the day and during the rush and non-rush hour periods. We merged eleven-year (2010 - 2020) data from the Fatality Analysis Reporting System. The outcome variable was the county-level fatal crash injury counts. The predictor variables were measures of road types, junction types and work zone, and weather types. We tested the predictiveness of two nested negative binomial models and adjudged that a nested spatial negative binomial regression model outperformed the non-spatial negative binomial model. The median county crash mortality rates at all times of the day and during the rush and non-rush hour periods were 18.4, 7.7, and 10.4 per 100,000 population, respectively. Fatal crash injury rate ratios were significantly elevated on interstates and highways at all times of the day - rush and non-rush hour periods inclusive. Intersections, driveways, and ramps on highways were associated with elevated fatal crash injury rate ratios. Clusters of high fatal crash injury rates were observed in counties located in Montana, Nevada, Colorado, Kansas, New Mexico, Oklahoma, Texas, Arkansas, Mississippi, Alabama, Georgia, and Nevada. The built and natural road environment factors are associated with county-level fatal crash injuries during the rush and non-rush hour periods. Understanding the association of road environment characteristics and the cluster distribution of fatal crash injuries may inform areas in need of focused intervention.

Peer-driven interventions can be effective in reducing HIV injection risk behaviors among people who inject drugs (PWID). We employed a causal mediation framework to examine the mediating role of recall of intervention knowledge in the relationship between a peer-driven intervention and subsequent self-reported HIV injection-related risk behavior among PWID in the HIV Prevention Trials Network (HPTN) 037 study. For each intervention network, the index participant received training at baseline to become a peer educator, while non-index participants and all participants in the control networks received only HIV testing and counseling; recall of intervention knowledge was measured at the 6-month visit for each participant, and each participant was followed to ascertain HIV injection-related risk behaviors at the 12-month visit. We used inverse probability weighting to fit marginal structural models to estimate the total effect (TE) and controlled direct effect (CDE) of the intervention on the outcome. The proportion eliminated (PE) by intervening to remove mediation by the recall of intervention knowledge was computed. There were 385 participants (47% in intervention networks) included in the analysis. The TE and CDE risk ratios for the intervention were 0.47 [95% confidence interval (CI): 0.28, 0.78] and 0.73 (95% CI: 0.26, 2.06) and the PE was 49%. Compared to participants in the control networks, the peer-driven intervention reduced the risk of HIV injection-related risk behavior by 53%. The mediating role of recall of intervention knowledge accounted for less than 50% of the total effect of the intervention, suggesting that other potential causal pathways between the intervention and the outcome, such as motivation and skill, self-efficacy, social norms and behavior modeling, should be considered in future studies.

High quality and culturally responsive early childhood education and care (ECEC) for young children before kindergarten is seen as a way to ensure that all children enter school ready to learn. ECEC is even more crucial in the context of recovery from the COVID-19 pandemic and the disproportionate burden of trauma and stress borne by families of color in disinvested neighborhoods. Remote learning and repeated disruptions to in-person instruction as protocols shifted during waves of the pandemic placed an extra strain on families, and may have increased educational disparities in the U.S. Taken together, these challenges have implications for children's school readiness due to their impact on opportunities for learning at home and in the classroom. This paper explores how ECEC programs can be strengthened to better meet children's needs, and ways in which future research can shed light on these important issues.

Climate change may affect mental health. We conducted an umbrella review of meta-analyses examining the association between mental health and climate events related to climate change, pollution and green spaces. We searched major bibliographic databases and included meta-analyses with at least five primary studies. Results were summarized narratively. We included 24 meta-analyses on mental health and climate events (n = 13), pollution (n = 11), and green spaces (n = 2) (two meta-analyses provided data on two categories). The quality was suboptimal. According to AMSTAR-2, the overall confidence in the results was high for none of the studies, for three it was moderate, and for the other studies the confidence was low to critically low. The meta-analyses on climate events suggested an increased prevalence of symptoms of post-traumatic stress, depression, and anxiety associated with the exposure to various types of climate events, although the effect sizes differed considerably across study and not all were significant. The meta-analyses on pollution suggested that there may be a small but significant association between PM_2.5, PM₁₀, NO₂, SO₂, CO and mental health, especially depression and suicide, as well as autism spectrum disorders after exposure during pregnancy, but the resulting effect sizes varied considerably. Serious methodological flaws make it difficult to draw credible conclusions. We found reasonable evidence for an association between climate events and mental health and some evidence for an association between pollution and mental disorders. More high-quality research is needed to verify these associations.

BACKGROUND:Racial disparities in guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) have not been fully documented in a community setting. METHODS:In the ARIC Surveillance Study (2005-2014), we examined racial differences in GDMT at discharge, its temporal trends, and the prognostic impact among individuals with hospitalized HFrEF, using weighted regression models to account for sampling design. Optimal GDMT was defined as beta blockers (BB), mineralocorticoid receptor antagonist (MRA) and ACE inhibitors (ACEI) or angiotensin II receptor blockers (ARB). Acceptable GDMT included either one of BB, MRA, ACEI/ARB or hydralazine plus nitrates (H-N). RESULTS:Of 16,455 (unweighted n = 3,669) HFrEF cases, 47% were Black. Only ~ 10% were discharged with optimal GDMT with higher proportion in Black than White individuals (11.1% vs. 8.6%, p < 0.001). BB use was > 80% in both racial groups while Black individuals were more likely to receive ACEI/ARB (62.0% vs. 54.6%) and MRA (18.0% vs. 13.8%) than Whites, with a similar pattern for H-N (21.8% vs. 10.1%). There was a trend of decreasing use of optimal GDMT in both groups, with significant decline of ACEI/ARB use in Whites (- 2.8% p < 0.01) but increasing H-N use in both groups (+ 6.5% and + 9.2%, p < 0.01). Only ACEI/ARB and BB were associated with lower 1-year mortality. CONCLUSIONS:Optimal GDMT was prescribed in only ~ 10% of HFrEF patients at discharge but was more so in Black than White individuals. ACEI/ARB use declined in Whites while H-N use increased in both races. GDMT utilization, particularly ACEI/ARB, should be improved in Black and Whites individuals with HFrEF.

AIMS:To estimate recent trends in cigarette use and health insurance coverage for United States adults with and without mental health and substance use disorders (MH/SUD). DESIGN:Event study analysis of smoking and insurance coverage trends among US adults with and without MH/SUD using 2008-19 public use data from the National Survey on Drug Use and Health, an annual, cross-sectional survey. SETTING:USA. PARTICIPANTS:A nationally representative sample of non-institutionalized respondents aged 18-64 years (n = 448 762). MEASUREMENTS:Outcome variables were three measures of recent cigarette use and one measure of past-year health insurance coverage. We compared outcomes between people with and without MH/SUD (MH disorder: past-year mental illness, predicted from Kessler-6 and the World Health Organization-Disability Assessment Schedule impairment scale; SUD: met survey-based DSM-IV criteria for past-year alcohol, cannabis, cocaine or heroin use disorder) and over time. FINDINGS:Comparing pooled data from 2008 to 2009 and from 2018 to 2019, current smoking rates of adults with MH/SUD decreased from 37.9 to 27.9% while current smoking rates of adults without MH/SUD decreased from 21.4 to 16.3%, a significant difference in decrease of 4.9 percentage points (pts) [95% confidence interval (CI) = 3.3-6.6 pts]. Daily smoking followed similar patterns (difference in decrease of 3.9 pts (95% CI = 2.3-5.4 pts). Recent smoking abstinence rates for adults with MH/SUD increased from 7.4 to 10.9%, while recent smoking abstinence rates for adults without MH/SUD increased from 9.6 to 12.0%, a difference in increase of 1.0 pts (95% CI = -3.0 to 0.9 pts). In 2018-19, 11% of net reductions in current smoking, 12% of net reductions in daily smoking and 12% of net increases in recent smoking abstinence coincided with greater gains in insurance coverage for adults with MH/SUD compared to those without MH/SUD. CONCLUSIONS:Improvements in smoking and abstinence outcomes for US adults with mental health and substance use disorders appear to be associated with increases in health insurance coverage.

RATIONALE & OBJECTIVE/OBJECTIVE:Anemia is common in chronic kidney disease (CKD); although anemia is associated with adverse outcomes, the available treatments are not ideal. We characterized the burden, risk factors for, and risks associated with anemia by estimated glomerular filtration rate (eGFR) and hemoglobin level. STUDY DESIGN/METHODS:Cross-sectional and prospective cohort study. SETTING & PARTICIPANTS/METHODS:Outpatient data from 5,004,957 individuals across 57 health care centers in the United States from 2016 to 2019, extracted from the Optum Labs Data Warehouse. EXPOSURE/METHODS:Severity of anemia, presence of low iron test results, eGFR. OUTCOME/RESULTS:Incident kidney failure with replacement therapy, cardiovascular disease, coronary heart disease, stroke, heart failure, death. ANALYTICAL APPROACH/METHODS:deficiency, and erythropoiesis-stimulating agent (ESA) use, stratified by sex and eGFR, were characterized. Polychotomous logistic regression was used to estimate the adjusted odds ratios of different hemoglobin levels across eGFR. Cox proportional hazards regression was used to calculate adjusted hazard ratios for adverse outcomes across hemoglobin level. RESULTS:The mean age was 54 years, and 42% were male. Lower eGFR was very strongly associated with increased prevalence of anemia, even after adjustment. Although iron studies were checked infrequently in patients with anemia, low iron test results were highly prevalent in those tested: 60.4% and 81.3% of men and women, respectively. ESA use was uncommon, with a prevalence of use of<4%. Lower hemoglobin was independently associated with increased risk of incident kidney failure with replacement therapy, cardiovascular disease, coronary heart disease, stroke, heart failure, and death. LIMITATIONS/CONCLUSIONS:Reliance on ICD codes for medical diagnoses, death information obtained from claims data, observational study. CONCLUSIONS:Severe anemia was common and strongly associated with lower eGFR and multiple adverse outcomes. Low-iron test results were highly prevalent in those tested despite iron studies being checked infrequently. ESA use in nondialysis CKD patients was uncommon.