Faculty Bibliography

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.

New York City experienced a high COVID-19 burden and striking disparities among racial and ethnic minoritized groups. The New York Community Engagement Alliance Against COVID-19 Disparities (NYCEAL) collaborated with health agencies and clinical providers to increase and facilitate COVID-19 vaccinations across New York City. NYCEAL partners and their network of hundreds of community health workers delivered vaccine education, fostered community trust, and supported vaccine uptake among low-income, limited‒English-proficient, and racial and ethnic minoritized communities. With funding from the National Institutes of Health (NIH), the objective of NYCEAL was to reduce COVID-19 disparities by increasing vaccine uptake and promoting trust in science. (Am J Public Health. 2024;114(S1):S92-S95. https://doi.org/10.2105/AJPH.2023.307455).

BACKGROUND:across three large samples in the US using a harmonized approach for exposure assignment and covariate adjustment. METHODS:. RESULTS:. Results in the Geisinger sample were null. VADR sample results evidenced nonlinear associations for both pollutants; the shape of the association was dependent on community type. CONCLUSIONS:and new onset T2D differed across three large study samples in the US. None of the results from any of the three study populations found strong and clear positive associations.

BACKGROUND:Treatment with methadone and buprenorphine medications for opioid use disorder (MOUD) during incarceration may lead to better community re-entry, but evidence on these relationships have been mixed. We aimed to identify community re-entry patterns and examine the association between in-jail MOUD and a pattern of successful reentry defined by rare occurrence of reincarceration and preventable healthcare utilization. METHODS:Data came from a retrospective, observational cohort study of 6066 adults with opioid use disorder who were incarcerated in New York City jails and released to the community during 2011-14. An outcome was community re-entry patterns identified by sequence analysis of 3-year post-release reincarceration, emergency department visits, and hospitalizations. An exposure was receipt of in-jail MOUD versus out-of-treatment (42 % vs. 58 %) for the last 3 days before discharge. The study accounted for differences in baseline demographic, clinical, behavioral, housing, and criminal legal characteristics between in-jail MOUD and out-of-treatment groups via propensity score matching. RESULTS:This study identified five re-entry patterns: stability (64 %), hospitalization (23 %), delayed reincarceration (7 %), immediate reincarceration (4 %), and continuous incarceration (2 %). After addressing confounding, 64 % and 57 % followed the stability pattern among MOUD and out-of-treatment groups who were released from jail in 2011, respectively. In 2012-14, the prevalence of following the stability pattern increased year-by-year while a consistently higher prevalence was observed among those with in-jail MOUD. CONCLUSIONS:Sequence analysis helped define post-release stability based on health and criminal legal system involvement. Receipt of in-jail MOUD was associated with a marker of successful community re-entry.

US correctional facilities operate under a binary interpretation of gender, which can yield inherent risks and conflicts for incarcerated transgender people. We conducted a scoping literature review on challenges unique to transgender individuals within US correctional settings. Online databases were searched to identify papers that addressed the challenges of incarcerated transgender adults age 18 + within US correctional institutions. A concurrent analysis of legal literature was reviewed with key policy recommendations extracted. A total of 33 papers (21 scientific studies and 12 legal analyses) met criteria for inclusion. Of the 21 scientific studies, the majority of papers (n = 14) focused on transgender women and most (n = 13) utilized qualitative methods. Emerging themes revealed challenges in key domains of violence, health, healthcare access, housing, and a pervasive culture of transphobia. Legal analyses supported policy changes such as implementing case-by-case housing classification systems, providing all forms of gender-affirming care, and safeguarding gender expression. Transgender persons face distinct obstacles while incarcerated in US correctional facilities and are in need of expanded protections. Working in tandem with efforts to decarcerate and reduce criminal legal involvement, widespread institutional policy change, such as redefining housing assignment policies, ensuring gender-affirming healthcare, and expanding transgender-specific competency trainings for correctional staff, is necessary.

OBJECTIVE/UNASSIGNED:Worse neighborhood socioeconomic environment (NSEE) may contribute to an increased risk of type 2 diabetes (T2D). We examined whether the relationship between NSEE and T2D differs by sex and age in three study populations. RESEARCH DESIGN AND METHODS/UNASSIGNED:We conducted a harmonized analysis using data from three independent longitudinal study samples in the US: 1) the Veteran Administration Diabetes Risk (VADR) cohort, 2) the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, and 3) a case-control study of Geisinger electronic health records in Pennsylvania. We measured NSEE with a z-score sum of six census tract indicators within strata of community type (higher density urban, lower density urban, suburban/small town, and rural). Community type-stratified models evaluated the likelihood of new diagnoses of T2D in each study sample using restricted cubic splines and quartiles of NSEE. RESULTS/UNASSIGNED:Across study samples, worse NSEE was associated with higher risk of T2D. We observed significant effect modification by sex and age, though evidence of effect modification varied by site and community type. Largely, stronger associations between worse NSEE and diabetes risk were found among women relative to men and among those less than age 45 in the VADR cohort. Similar modification by age group results were observed in the Geisinger sample in small town/suburban communities only and similar modification by sex was observed in REGARDS in lower density urban communities. CONCLUSIONS/UNASSIGNED:The impact of NSEE on T2D risk may differ for males and females and by age group within different community types.

Access to and utilization of consumer credit remains an understudied social determinant of health. We examined associations between a novel, small-area, multidimensional credit insecurity index (CII), and the prevalence of self-reported frequent mental distress across US cities in 2020. The census tract-level CII was developed by the Federal Reserve Bank of New York using Census population information and a nationally representative sample of anonymized Equifax credit report data. The CII was calculated for tracts in 766 cities displayed on the City Health Dashboard at the time of analysis, predominantly representing cities with over 50,000 residents. The CII combined data on tract-level participation in the formal credit economy with information on the percent of individuals without revolving credit, percent with high credit utilization, and percent with deep subprime credit scores. Tracts were classified as credit-assured, credit-likely, mid-tier, at-risk, or credit-insecure. We used linear regression to examine associations between the CII and a modeled tract-level measure of frequent mental distress, obtained from the CDC PLACES project. Regression models were adjusted for neighborhood economic and demographic characteristics. We examined effect modification by US region by including two-way interaction terms in regression models. In adjusted models, credit-insecure tracts had a modestly higher prevalence of frequent mental distress (prevalence difference = 0.38 percentage points; 95% CI = 0.32, 0.44), compared to credit-assured tracts. Associations were most pronounced in the Midwest. Local factors impacting credit access and utilization are often modifiable. The CII, a novel indicator of community financial well-being, may be an independent predictor of neighborhood health in US cities and could illuminate policy targets to improve access to desirable credit products and downstream health outcomes.

Stakeholders need data on health and drivers of health parsed to the boundaries of essential policy-relevant geographies. US Congressional Districts are an example of a policy-relevant geography which generally lack health data. One strategy to generate Congressional District heath data metric estimates is to aggregate estimates from other geographies, for example, from counties or census tracts to Congressional Districts. Doing so requires several methodological decisions. We refine a method to aggregate health metric estimates from one geography to another, using a population weighted approach. The method's accuracy is evaluated by comparing three aggregated metric estimates to metric estimates from the US Census American Community Survey for the same years: Broadband Access, High School Completion, and Unemployment. We then conducted four sensitivity analyses testing: the effect of aggregating counts vs. percentages; impacts of component geography size and data missingness; and extent of population overlap between component and target geographies. Aggregated estimates were very similar to estimates for identical metrics drawn directly from the data source. Sensitivity analyses suggest the following best practices for Congressional district-based metrics: utilizing smaller, more plentiful geographies like census tracts as opposed to larger, less plentiful geographies like counties, despite potential for less stable estimates in smaller geographies; favoring geographies with higher percentage population overlap.

PURPOSE/OBJECTIVE:To apply principles of group model building (GMB), a participatory systems science approach, to identify barriers and opportunities for collective impact around nutrition programming to reduce cancer risk for immigrant communities in an urban environment. METHODS:We convened four in-person workshops applying GMB with nine community partners to generate causal loop diagrams (CLDs)-a visual representation of hypothesized causal relationships between variables and feedback structures within a system. GMB workshops prompted participants to collaboratively identify programmatic goals and challenges related to (1) community gardening, (2) nutrition education, (3) food assistance programs, and (4) community-supported agriculture. Participants then attended a plenary session to integrate findings from all workshops and identify cross-cutting ideas for collective action. RESULTS:Several multilevel barriers to nutrition programming emerged: (1) food policies center the diets and practices of White Americans and inhibit culturally tailored food guidelines and funding for culturally appropriate nutrition education; (2) the lack of culturally tailored nutrition education in communities is a missed opportunity for fostering pride in immigrant food culture and sustainment of traditional food practices; and (3) the limited availability of traditional ethnic produce in food assistance programs serving historically marginalized immigrant communities increases food waste and worsens food insecurity. CONCLUSION/CONCLUSIONS:Emergent themes coalesced around the need to embed cultural tailoring into all levels of the food system, while also considering other characteristics of communities being reached (e.g., language needs). These efforts require coordinated actions related to food policy and advocacy, to better institutionalize these practices within the nutrition space.

BACKGROUND:Over a third of US adults carry a diagnosis of prediabetes, 70% of whom may progress to type 2 diabetes mellitus ("diabetes"). Community health workers (CHWs) can help patients undertake healthy behavior to prevent diabetes. However, there is limited guidance to integrate CHWs in primary care, specifically to address CHWs' dual clinic-based and community-oriented role. OBJECTIVE:Using evidence from CHWs' adaptations of a diabetes-prevention intervention in safety-net hospitals in New York City, we examine the nature, intent, and possible consequences of CHWs' actions on program fidelity. We propose strategies for integrating CHWs in primary care. DESIGN/METHODS:Case study drawing on the Model for Adaptation Design and Impact (MADI) to analyze CHWs' actions during implementation of CHORD (Community Health Outreach to Reduce Diabetes), a cluster-randomized pragmatic trial (2017-2022) at Manhattan VA and Bellevue Hospital. PARTICIPANTS/METHODS:CHWs and clinicians in the CHORD study, with a focus in this analysis on CHWs. APPROACH/METHODS:Semi-structured interviews and focus group discussion with CHWs (n=4); semi-structured interviews with clinicians (n=17). Interpretivist approach to explain CHWs' adaptations using a mix of inductive and deductive analysis. KEY RESULTS/RESULTS:CHWs' adaptations extended the intervention in three ways: by extending social assistance, healthcare access, and operational tasks. The adaptations were intended to improve fit, reach, and retention, but likely had ripple effects on implementation outcomes. CHWs' focus on patients' complex social needs could divert them from judiciously managing their caseload. CONCLUSIONS:CHWs' community knowledge can support patient engagement, but overextension of social assistance may detract from protocolized health-coaching goals. CHW programs in primary care should explicitly delineate CHWs' non-health support to patients, include multiprofessional teams or partnerships with community-based organizations, establish formal communication between CHWs and clinicians, and institute mechanisms to review and iterate CHWs' work to resolve challenges in their community-oriented role.