Faculty Bibliography

BACKGROUND:The within-person and between-sensor variability of metrics from different interstitial continuous glucose monitoring (CGM) sensors in adults with type 2 diabetes not taking insulin is unclear. METHODS:Secondary analysis of data from 172 participants from the Hyperglycemic Profiles in Obstructive Sleep Apnea randomized clinical trial. Participants simultaneously wore Dexcom G4 and Abbott Libre Pro CGM sensors for up to 2 weeks at baseline and again at the 3-month follow-up visit. RESULTS:At baseline (up to 2 weeks of CGM), mean glucose for both the Abbott and Dexcom sensors was approximately 150 mg/dL (8.3 mmol/L) and time in range (70-180 mg/dL [3.9-10.0 mmol/L]) was just below 80%. When comparing the same sensor at 2 different time points (two 2-week periods, 3 months apart), the within-person coefficient of variation (CVw) in mean glucose was 17.4% (Abbott) and 14.2% (Dexcom). CVw for percent time in range: 20.1% (Abbott) and 18.6% (Dexcom). At baseline, the Pearson correlation of mean glucose from the 2 sensors worn simultaneously was r = 0.86, root mean squared error (RMSE), 13 mg/dL (0.7 mmol/L); for time in range, r = 0.88, RMSE, 8 percentage points. CONCLUSIONS:Substantial variation was observed within sensors over time and across 2 different sensors worn simultaneously on the same individuals. Clinicians should be aware of this variability when using CGM technology to make clinical decisions. ClinicalTrials.gov Identifier: NCT02454153.

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.

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.

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.

BACKGROUND:Despite an aging population, little is known about racial disparities in aging-specific functional impairments and mortality among older adults hospitalized for acute myocardial infarction (AMI). METHODS:We analyzed data from patients aged 75 years or older who were hospitalized for AMI at 94 US hospitals from 2013 to 2016. Functional impairments and geriatric conditions were assessed in-person during the AMI hospitalization. The association between race and risk of mortality (primary outcome) was evaluated with logistic regression adjusted sequentially for age, clinical characteristics, and measures of functional impairment and other conditions associated with aging. RESULTS:Among 2918 participants, 2668 (91.4%) self-identified as White and 250 (8.6%) as Black. Black participants were younger (80.8 vs 81.7 years; p = 0.010) and more likely to be female (64.8% vs 42.5%; p < 0.001). Black participants were more likely to present with impairments in cognition (37.6% vs 14.5%; p < 0.001), mobility (66.0% vs 54.6%; p < 0.001) and vision (50.1% vs 35.7%; p < 0.001). Black participants were also more likely to report a disability in one or more activities of daily living (22.4% vs 13.0%; p < 0.001) and an unintentional loss of more than 10 lbs in the year prior to hospitalization (37.2% vs 13.0%; p < 0.001). The unadjusted odds of 6-month mortality among Black participants (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.4-2.8) attenuated to non-significance after adjustment for age, clinical characteristics (OR 1.70, 95% CI 1.7, 1.2-2.5), and functional/geriatric conditions (OR 1.5, 95% CI 1.0-2.2). CONCLUSIONS:Black participants had a more geriatric phenotype despite a younger average age, with more functional impairments. Controlling for functional impairments and geriatric conditions attenuated disparities in 6-month mortality somewhat. These findings highlight the importance of systematically assessing functional impairment during hospitalization and also ensuring equitable access to community programs to support post-AMI recovery among Black older adults.

People with substance use disorder (SUD) smoke cigarettes at a rate more than twice that of the general population. Policies and programs have focused on promoting smoking cessation among people with SUD, yet it is unclear whether interventions have adequately reached the subgroup involved in the criminal legal system, who have among the highest smoking rates. Drawing on repeated cross-sections of the National Survey on Drug Use and Health, we found that smoking rates declined by 9.4 percentage points overall among people with SUD from 2010 to 2019, but rates remained virtually unchanged among the subgroup with criminal legal involvement. In regression analyses focused on people with SUD, three-quarters of the excess smoking burden for those with criminal legal involvement at baseline (2010-13) was accounted for by controlling for sociodemographics, substance use type, health insurance, and recent SUD treatment. However, even after we controlled for these same factors, the disparity in smoking prevalence among people with SUD between those with and without criminal legal involvement remained constant over time. These findings underscore the need for smoking cessation interventions focused on the criminal legal system, including correctional facilities and SUD treatment programs that serve people in this population.

Compared with non-Hispanic White women, Latina women are less likely to receive genetic counseling (GC) and testing (GT) following BC diagnosis. This study used secondary data analysis to explore beliefs about GC among Latina BC survivors in and outside the US mainland. GC/GT-naïve, high-risk, Spanish-preferring Latina BC survivors (n = 52) in FL and PR completed the Behavioral Beliefs about GC scale. Participants reported high positive beliefs about GC (M = 4.19, SD = 0.92); the majority agreed that GC was beneficial to understand cancer risk (90%) and promote discussion (87%) in their family. Participants reported low-to-moderate scores for barriers (Ms = 1.53-3.40; SDs = 0.59-0.90). The most frequently endorsed barriers were desire for additional GC information (M = 3.44; SD = 0.90), and GC logistic concerns (M = 2.71; SD = 0.80). No statistically significant differences for barriers and benefits scales were identified by place of residence (all ps ≥ 0.12). These findings highlight the importance of delivering culturally sensitive GC information to high-risk Latina BC survivors.