Faculty Bibliography

Despite well-studied associations of state firearm laws with lower state- and county-level firearm homicide, there is a shortage of studies investigating differences in the effects of distinct state firearm law categories on various cities within the same state using identical methods. We examined associations of 5 categories of state firearm laws-pertaining to buyers, dealers, domestic violence, gun type/trafficking, and possession-with city-level firearm homicide, and then tested differential associations by city characteristics. City-level panel data on firearm homicide cases of 78 major cities from 2010 to 2020 was assessed from the Centers for Disease Control and Prevention's National Vital Statistics System. We modeled log-transformed firearm homicide rates as a function of firearm law scores, city, state, and year fixed effects, along with time-varying city-level confounders. We considered effect measure modification by poverty, unemployment, vacant housing, and income inequality. A one z-score increase in state gun type/trafficking, possession, and dealer law scores was associated with 25% (95% confidence interval [CI]:-0.37,-0.1), 19% (95% CI:-0.29,-0.07), and 17% (95% CI:-0.28, -0.4) lower firearm homicide rates, respectively. Protective associations were less pronounced in cities with high unemployment and high housing vacancy, but more pronounced in cities with high income inequality. In large US cities, state-level gun type/trafficking, possession, and dealer laws were associated with lower firearm homicide rates, but buyers and domestic violence laws were not. State firearm laws may have differential effects on firearm homicides based on city characteristics, and city-wide policies to enhance socioeconomic drivers may add benefits of firearm laws.

Background Given the disproportionate rates of incarceration and lower life expectancy (LE) among Black sexual minority men (BSMM) and Black transgender women (BTW) with HIV, we modeled the impact of decarceration and screening for psychiatric conditions and substance use on LE of US BSMM/BTW with HIV. Methods We augmented a microsimulation model previously validated to predict LE and leading causes of death in the US with estimates from the HPTN 061 cohort and the Veteran's Aging Cohort Studies. We estimated independent associations among psychiatric and substance use disorders, to simulate the influence of treatment of one condition on improvement on others. We used this augmented simulation to estimate LE for BSMM/BTW with HIV with a history of incarceration under alternative policies of decarceration (i.e., reducing the fraction exposed to incarceration), screening for psychiatric conditions and substance use, or both. Results Baseline LE was 61.3 years. Reducing incarceration by 25%, 33%, 50%, and 100% increased LE by 0.29 years, 0.31 years, 0.53 years, and 1.08 years, respectively, versus no reductions in incarceration. When reducing incarceration by 33% and implementing screening for alcohol, tobacco, substance use, and depression, in which a positive screen triggers diagnostic assessment for all psychiatric and substance use conditions and linkage to treatment, LE increased by 1.52 years compared to no screening or decarceration. Discussion LE among BSMM/BTW with HIV is short compared with other people with HIV. Reducing incarceration and improving screening and treatment of psychiatric conditions and substance use could substantially increase LE in this population.

BACKGROUND:Colorectal cancer screening uptake in the United States overall has increased, but racial/ethnic disparities persist and data on colonoscopy uptake by racial/ethnic subgroups are lacking. We sought to better characterize these trends and to identify predictors of colonoscopy uptake, particularly among Asian and Hispanic subgroups. STUDY/METHODS:We used data from the New York City Community Health Survey to generate estimates of up-to-date colonoscopy use in Asian and Hispanic subgroups across 6 time periods spanning 2003-2016. For each subgroup, we calculated the percent change in colonoscopy uptake over the study period and the difference in uptake compared to non-Hispanic Whites in 2015-2016. We also used multivariable logistic regression to identify predictors of colonoscopy uptake. RESULTS:All racial and ethnic subgroups with reliable estimates saw a net increase in colonoscopy uptake between 2003 and 2016. In 2015-2016, compared with non-Hispanic Whites, Puerto Ricans, Dominicans, and Central/South Americans had higher colonoscopy uptake, whereas Chinese, Asian Indians, and Mexicans had lower uptake. On multivariable analysis, age, marital status, insurance status, primary care provider, receipt of flu vaccine, frequency of exercise, and smoking status were the most consistent predictors of colonoscopy uptake (≥4 time periods). CONCLUSIONS:We found significant variation in colonoscopy uptake among Asian and Hispanic subgroups. We also identified numerous demographic, socioeconomic, and health-related predictors of colonoscopy uptake. These findings highlight the importance of examining health disparities through the lens of disaggregated racial/ethnic subgroups and have the potential to inform future public health interventions.

BACKGROUND:South Asians face a high prevalence of type II diabetes (DMII) and comorbid hypertension (HTN). Community health worker (CHW) interventions have the potential to improve chronic disease outcomes, yet few have been tailored to South Asian populations in the United States. OBJECTIVE:To test the effectiveness of an evidence-based CHW-led and culturally-tailored HTN and DMII management program for South Asian adults with diabetes and comorbid uncontrolled HTN (systolic blood pressure (SBP) > 130 mmHg or diastolic blood pressure (DBP) > 80 mmHg). DESIGN/METHODS:Randomized-controlled Trial. PARTICIPANTS/METHODS:South Asian adults with DMII and comorbid HTN. INTERVENTION/METHODS:The Diabetes Research, Education, and Action for Minorities (DREAM) Atlanta intervention was a CHW telehealth intervention designed to improve blood pressure (BP). The treatment group received five virtual group-based health education sessions, an action plan, and follow-up calls to assess goal setting activities. The control group received only the first session. Main Measures included: feasibility, improvement in BP control, and decreases in SBP, DBP, weight, and hemoglobin A1c (HbA1c). KEY RESULTS/RESULTS:A total of 190 South Asian adults were randomized (97 to the treatment group and 93 to the control group); 94% of treatment group participants completed all 5 telehealth sessions. At endpoint, BP control increased 33.7% (95% CI: 22.5, 44.9, p < 0.001) in the treatment group and 16.5% (95%: 6.2, 26.8, p = 0.003) in the control group; the adjusted intervention effect was 1.8 (95% CI: 1.0, 3.2, p = 0.055). Mean weight decreased by 4.8 pounds (95% CI: -8.2, -1.4, p = 0.006) in the treatment group, and the adjusted intervention effect was -5.2 (95% CI: -9.0, -1.4, p = 0.007. The intervention had an overall retention of 95%. CONCLUSIONS:A culturally-tailored, CHW-led telehealth intervention is feasible and can improve BP control among South Asian Americans with DMII. GOV REGISTRATION/UNASSIGNED:NCT04263311.

OBJECTIVE:The aim of this study was to examine relationships between the food environment and obesity by community type. METHODS:Using electronic health record data from the US Veterans Administration Diabetes Risk (VADR) cohort, we examined associations between the percentage of supermarkets and fast-food restaurants with obesity prevalence from 2008 to 2018. We constructed multivariable logistic regression models with random effects and interaction terms for year and food environment variables. We stratified models by community type. RESULTS:Mean age at baseline was 59.8 (SD = 16.1) years; 93.3% identified as men; and 2,102,542 (41.8%) were classified as having obesity. The association between the percentage of fast-food restaurants and obesity was positive in high-density urban areas (odds ratio [OR] = 1.033; 95% CI: 1.028-1.037), with no interaction by time (p = 0.83). The interaction with year was significant in other community types (p < 0.001), with increasing odds of obesity in each follow-up year. The associations between the percentage of supermarkets and obesity were null in high-density and low-density urban areas and positive in suburban (OR = 1.033; 95% CI: 1.027-1.039) and rural (OR = 1.007; 95% CI: 1.002-1.012) areas, with no interactions by time. CONCLUSIONS:Many healthy eating policies have been passed in urban areas; our results suggest such policies might also mitigate obesity risk in nonurban areas.

INTRODUCTION:Traditional survey-based surveillance is costly, limited in its ability to distinguish diabetes types and time-consuming, resulting in reporting delays. The Diabetes in Children, Adolescents and Young Adults (DiCAYA) Network seeks to advance diabetes surveillance efforts in youth and young adults through the use of large-volume electronic health record (EHR) data. The network has two primary aims, namely: (1) to refine and validate EHR-based computable phenotype algorithms for accurate identification of type 1 and type 2 diabetes among youth and young adults and (2) to estimate the incidence and prevalence of type 1 and type 2 diabetes among youth and young adults and trends therein. The network aims to augment diabetes surveillance capacity in the USA and assess performance of EHR-based surveillance. This paper describes the DiCAYA Network and how these aims will be achieved. METHODS AND ANALYSIS:The DiCAYA Network is spread across eight geographically diverse US-based centres and a coordinating centre. Three centres conduct diabetes surveillance in youth aged 0-17 years only (component A), three centres conduct surveillance in young adults aged 18-44 years only (component B) and two centres conduct surveillance in components A and B. The network will assess the validity of computable phenotype definitions to determine diabetes status and type based on sensitivity, specificity, positive predictive value and negative predictive value of the phenotypes against the gold standard of manually abstracted medical charts. Prevalence and incidence rates will be presented as unadjusted estimates and as race/ethnicity, sex and age-adjusted estimates using Poisson regression. ETHICS AND DISSEMINATION:The DiCAYA Network is well positioned to advance diabetes surveillance methods. The network will disseminate EHR-based surveillance methodology that can be broadly adopted and will report diabetes prevalence and incidence for key demographic subgroups of youth and young adults in a large set of regions across the USA.

The dietary behaviors of Asian American (AA) young adults, who face a growing non-communicable disease burden, are impacted by complex socio-ecological forces. Family plays a crucial role in the lifestyle behaviors of AA young adults; however, little is known on the methods, contributors, and impact of familial dietary influence. This study aims to deconstruct the mechanisms of AA young adult familial dietary influence through a multi-perspective qualitative assessment. A five-phase method of dyadic analysis adapted from past research was employed to extract nuanced insights from dyadic interviews with AA young adults and family members, and ground findings in behavioral theory (the Social Cognitive Theory, SCT). 37 interviews were conducted: 18 young adults, comprising 10 different AA ethnic subgroups, and 19 family members (10 parents, 9 siblings). Participants described dietary influences that were both active (facilitating, shaping, and restricting) and passive (e.g., sharing foods or environment, mirroring food behaviors). Influences connected strongly with multiple SCT constructs (e.g., behavioral capacity, reinforcements for active influences, and expectations, observational learning for passive influences). Familial influence contributed to changes in the total amount, variety, and healthfulness of foods consumed. Intra-family dynamics were crucial; family members often leveraged each other's persuasiveness or food skills to collaboratively influence diet. AA family-based interventions should consider incorporating both passive and active forms of dietary influence within a family unit, involve multiple family members, and allow for individualization to the unique dynamics and dietary behaviors within each family unit.

New York City (NYC) is slated to be the first jurisdiction in the USA to implement a cordon-based congestion tax, which will be levied on vehicles entering its Central Business District. Several cities around the world, for example, London and Stockholm, have had similar cordon-based pricing programmes, defined as road pricing that charges drivers a fee for entering a specified area (typically a congested urban centre). In addition to reducing congestion and creating revenue, projections suggest the NYC congestion pricing plan may yield meaningful traffic-related air quality improvements that could result in health benefits. NYC is a large city with high air pollution and substantial racial/ethnic and socioeconomic health inequities. The distinct geography and meteorological conditions of the city also suggest that the policy's impact on air quality may extend beyond the NYC metropolitan area. As such, the potential breadth, directionality and magnitude of health impacts on communities who might be heavily affected by the nation's first congestion pricing plan should be empirically investigated. We briefly review evaluation studies of other cordon-based congestion pricing policies and argue that implementation of this policy provides an excellent opportunity to employ a quasi-experimental study design to evaluate the policy's impacts on air quality and health outcomes across population subgroups using a health equity lens. We discuss why real-time evaluations of the NYC congestion pricing plan can potentially help optimise benefits for communities historically negatively affected by traffic-related air pollution. Assessing intended and unintended impacts on health equity is key to achieving these goals.

BACKGROUND:Studies have shown that adults with a history of incarceration have elevated cardiovascular (CVD) risk. Research on racial/ethnic group differences in the association between incarceration and CVD risk factors of hypertension and hyperglycemia is limited. OBJECTIVE:To assess racial/ethnic group differences in the association between incarceration and hypertension and hyperglycemia. DESIGN/METHODS:We performed a secondary data analysis using the National Longitudinal Survey of Adolescent to Adult Health (Add Health). Using modified Poisson regression, we estimated the associations between lifetime history of incarceration reported during early adulthood with hypertension and hyperglycemia outcomes measured in mid-adulthood, including incident diagnosis. We evaluated whether associations varied by self-reported race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, and Asian). PARTICIPANTS/METHODS:The analytic sample included 4,015 Add Health respondents who self-identified as non-Hispanic White, Non-Hispanic Black, Hispanic, and Asian, and provided incarceration history and outcome data. MAIN MEASURES/METHODS:Outcome measures included (1) hypertension (2) systolic blood pressure  ≥ 130 mmHg, and (3) hyperglycemia. KEY RESULTS/RESULTS:In non-Hispanic Black and non-Hispanic White participants, there was not evidence of an association between incarceration and measured health outcomes. Among Hispanic participants, incarceration was associated with hyperglycemia (Adjusted Risk Ratio (ARR): 2.1, 95% Confidence Interval (CI): 1.1-3.7), but not with hypertension risk. Incarceration was associated with elevated systolic blood pressure (ARR: 3.1, CI: 1.2-8.5) and hypertension (ARR: 1.7, CI: 1.0-2.8, p = 0.03) among Asian participants, but not with hyperglycemia risk. Incarceration was associated with incident hypertension (ARR 2.5, CI 1.2-5.3) among Asian subgroups. CONCLUSIONS:Our findings add to a growing body of evidence suggesting that incarceration may be linked to chronic disease outcomes. Race/ethnic-specific results, while limited by small sample size, highlight the need for long-term studies on incarceration's influence among distinct US groups.