Faculty Bibliography

INTRODUCTION/BACKGROUND:with dysglycemia, it remains unknown if reducing air pollution exposure through air filtration can affect improvements in glucose. This study aims to test the hypothesis that short-term, in-home air pollution reduction using high efficiency particulate air (HEPA) filtration will improve blood sugar in adults with prediabetes. METHODS AND ANALYSIS/METHODS:as the independent variable. ETHICS AND DISSEMINATION/BACKGROUND:This study has undergone peer review; and the work was supported by Grant 2023-0214 from the Doris Duke Foundation, who had no other role in study design or implementation. The study was registered in ClinicalTrials.gov (NCT05994937) prior to recruitment.

BACKGROUND:Environmental epidemiology studies increasingly integrate "big" geospatial and health data sets to examine associations between environmental factors and health outcomes. Using such data sets ─ and linking between them ─ presents a number of complexities with regard to study design and analytic approaches. These complexities are often magnified with the integration of additional contextual data representing other neighborhood characteristics including socioeconomic factors. Guidance regarding the design of environmental health studies that leverage "big" geospatial and health outcome data is limited and fragmented. OBJECTIVE:Drawing on methodological literature and case studies, this commentary outlines common challenges related to geospatial and health data linkages, posing a series of guiding questions and considerations for investigators conducting environmental health studies, particularly analyses with an etiological focus. DISCUSSION:Recommendations include: 1) using a target trial approach to guide causal analysis, 2) aligning measures with hypothesized causal mechanisms, 3) exploring opportunities to "groundtruth" and validate data, and 4) prioritizing interdisciplinary science. The goal of the commentary is to consolidate insights from multiple disciplines ─ including exposure science, epidemiology, and sociology ─ to provide a foundation for etiologic research focused on advancing environmental health for all populations.

The social environment refers to our interpersonal relations, workplaces, and neighborhoods, towns, or cities in which we live. A growing literature indicates that social environments are related to cognitive aging and risk of Alzheimer's disease and related dementias (AD/ADRD). Still, relatively little is known about how social-environmental exposures affect cognitive function over the life course and into older ages. Addressing this limitation, our paper outlines key features of the social environment and recommends priority areas of research on the social environment and cognitive aging. We divide our discussion into three subdomains: social connections, residential context, and work context. We then identify important gaps in the conceptual and empirical literature before outlining avenues for future research to strengthen our understanding of how social-environmental exposures over the life course link with cognitive function and AD/ADRD risk in late life.

Air pollution remains a leading cause of mortality. Few studies have leveraged residential relocation to examine impacts of intra-individual changes in PM2.5 exposure. As the largest integrated health system in the U.S., the Veterans Health Administration (VHA) is an ideal setting to examine relocation-induced changes in air pollution. We constructed a cohort of Veterans who relocated from one ZIP code to another between 2011 and 2017 (n = 762 905). We linked spatially averaged annual PM2.5 estimates to each person based on residential address. We examined relocation-induced PM2.5 changes and post-move mortality in discrete time models, accounting for individual- and area-level confounding variables. We estimated pooled odds ratios over 5 years of follow up and examined effect measure modification by age (<65, 65+), sex, and neighborhood-level poverty. The pooled OR associated with a 2 μg/m3 increase in PM2.5 levels between the origin and destination areas was 1.03 (95% CI = 1.01-1.03). Associations appeared more pronounced among older individuals when assessing potential additive effect measure modification. Examining intra-individual changes in PM2.5 exposure and subsequent health outcomes can elucidate potential impacts of air pollution and pollution reduction policies. Results suggest survival benefits associated with policies that continue to reduce PM2.5 levels.

PURPOSE/OBJECTIVE:Cancer is the leading cause of death for Chinese Americans, and research on optimal psychosocial interventions is scarce. Understanding the specific experiences of Chinese Americans with cancer is essential for developing supportive interventions. This study is a qualitative analysis of patient narratives collected from an Expressive Helping intervention, obtained from Chinese Americans with cancer to explore their experiences and meaning making of their cancer diagnosis and treatment journeys. METHODS:Thirty-one participants completed four 20-min writing sessions related to their cancer experiences. Informed by the Common-Sense Model of illness self-regulation, we used iterative, blended deductive-inductive coding and conducted a thematic analysis to explore meaning making, illness perception/narrative, and peer-helping recommendations. RESULTS:Significant themes were identified at the intrapersonal, interpersonal, and organizational/community levels. Participants felt initial disbelief and distress at the cancer diagnosis, which were attenuated through reframing of their experiences and finding support from various sources. Participants were also worried about burdening their families with their diagnosis but subsequently came to appreciate their support. They described challenges with navigating the healthcare system but appreciated having access to trusted providers and modern medicine. Patients also provided advice to support other patients on their cancer journey. CONCLUSION/CONCLUSIONS:Understanding the factors that influence the mental health of patients with cancer and survivors is key to informing responsive supportive strategies. Our analysis of expressive writing narratives by Chinese Americans with cancer illuminates their unique challenges and myriad ways they find resilience and acceptance.

Introduction Cordon-based congestion policies have demonstrated air quality and health benefits in cities outside the United States (U.S.), yet selecting comparison areas to evaluate these policies remains a methodological challenge. Using two pre-policy administrative health datasets, we examined the feasibility of constructing local, state, and regional counterfactual populations to inform an evaluation of child health impacts of the recently implemented New York City (NYC) congestion pricing policy, focusing on pediatric asthma emergency department visits. Methods Our study population included children aged 0-17 years. Using a difference-in-differences approach for repeated measures, we evaluated crude pre-policy pediatric asthma trends between the congestion relief zone (CRZ) and three comparison areas: (1) NYC neighborhoods outside the CRZ, (2) nine major New York State cities, and (3) dense, heavily trafficked Northeast regional U.S. cities. We compared this approach with a generalized synthetic control method (G-SCM). Results Crude pre-policy pediatric asthma trends were most parallel between the CRZ and the local NYC comparison zone. Socioeconomic, built environment, and environmental exposure covariates varied across comparison areas at baseline. G-SCM improved visual pre-policy trend alignment across all three comparison areas; however, placebo tests revealed statistically significant parallel trend violations persisted for non-local comparison areas. Conclusions Local comparison populations may offer the most representative counterfactual for evaluating NYC congestion pricing child health impacts. Residual parallel trend violations in non-local areas underscore the methodological challenges of counterfactual selection for geographically concentrated urban policies, highlighting the value of triangulating findings across comparison areas and analytic approaches in future post-implementation evaluations.

IMPORTANCE/UNASSIGNED:Current pregnancy surveillance efforts in the US face substantial challenges in providing timely and accurate data on prenatal care use. Electronic health record (EHR) networks have the potential to enhance existing surveillance systems by providing near real-time, clinically documented data. OBJECTIVE/UNASSIGNED:To assess whether EHR network data could be used to define valid and reliable surveillance metrics of prenatal care use. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This longitudinal cohort study included US adults (age ≥18 years) who received prenatal care and delivered a live birth from January 1, 2023, to December 31, 2024, at a facility that used the Epic Cosmos EHR network. EXPOSURE/UNASSIGNED:Live birth at a facility that used the selected EHR network. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Prenatal care use was calculated as the proportions of patients who initiated care by the 13th week of pregnancy (early care) and who received adequate or better prenatal care (adequate care). Raking weights were applied to adjust the EHR sample to match the marginal distributions for US residents with live births by age, race and ethnicity, insurance, pregnancy risk factors, and geographic region. Electronic health records-based metrics were externally validated against published natality data estimates from National Center for Health Statistics (NCHS) using the two 1-sided test of equivalence. Patterns by demographics, state, and year were examined. RESULTS/UNASSIGNED:In total, 1 963 496 patients (mean [SD] age, 29.5 [5.7] years; 100% women) had a live birth and evidence of prenatal care at a facility using the selected EHR network during the study period. Compared with all US birthing people (n = 7 224 951), patients who gave birth at a facility using the selected EHR network had lower Medicaid coverage (40.5% vs 21.1%) and a higher prevalence of pregnancy risk factors (eg, prior preterm birth: 4.0% vs 8.8%). After weighting to the national population, EHR-based estimates of early care were consistently lower than those from NCHS data (68.0% [95% CI, 67.9%-68.2%] vs 76.1% [95% CI, 76.1%-76.1%]). However, adequacy estimates were equivalent to NCHS-based estimates (76.0% [95% CI, 75.9%-76.2%] vs 75.2% [95% CI, 75.1%-75.2%]; P < .001 at 0.01 equivalence bound), aligned with expected demographic patterns, and were stable across place and time. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study, EHR network data reliably informed surveillance of prenatal care adequacy after adjusting for nonrepresentativeness of the patient population. These findings suggest that near real-time availability of EHR data has the potential to improve the timeliness of population-level pregnancy surveillance to better inform policy, public health, and clinical efforts aimed at enhancing prenatal care access and use among individuals receiving inadequate care.

BACKGROUND/UNASSIGNED:The coronavirus disease 2019 (COVID-19) pandemic spurred a tremendous increase in the adoption and use of remote patient monitoring (RPM) for hypertension (HTN) management. However, limited evidence exists on the associations between frequency of utilization and uncontrolled blood pressure (BP). OBJECTIVES/UNASSIGNED:The present study comprehensively explores the associations between RPM use frequency and uncontrolled BP among a metropolitan-dwelling sample of hypertensive patients. METHODS/UNASSIGNED:Of 2,920 participants from a single urban health system, we employed a range of analytical perspectives to evaluate the RPM utilization-uncontrolled BP relationship across widely used engagement metrics: Frequency of BP transmission, digitally enabled clinician interactions, patient portal interactions, and a composite measure of utilization. Our dichotomized primary and secondary endpoints were BP >140/90 mm Hg and BP >130/80 mm Hg. RESULTS/UNASSIGNED:Fifty-nine percent of participants were females (59%), one-third (37%) were ≥65 years old, and Hispanic patients were most represented (39%). Our primary uncontrolled BP endpoint demonstrated strong adjusted associations with suboptimal RPM use across dichotomized measures: Low BP transmission (odds ratio [OR]: 2.02, 95% confidence interval [CI]: 1.41-2.96), low clinician interactions (OR: 1.83, 95% CI: 1.43-2.36), low patient portal interactions (OR: 1.83, 95% 1.46-2.30), and low overall engagement (OR: 3.50, 95% 2.77-4.46). Our causal evaluations mirrored these findings, showing moderate causal associations after comprehensive adjustment for confounding. Assessments using other data types, such as continuous and quartiles, showed significant associations and an apparent dose-response relationship, though not at a similar magnitude. CONCLUSION/UNASSIGNED:We observed strong associations between low RPM utilization and uncontrolled BP, with promising implications for patients with collectively high RPM use. These findings highlight the need to strengthen digital inclusion initiatives to improve RPM uptake and support existing efforts aimed at developing RPM clinical practice guidelines and expanding RPM reimbursement policies. Further research is warranted across diverse utilization components to better understand the linkages between engagement frequency and improved clinical outcomes.

Nationally, there is increased investment in interventions that address diet-related chronic diseases however few studies and interventions are developed to reflect the values and lifestyles of many communities, presenting a barrier to participation. This study aims to better understand the motivators and barriers for the Bangladeshi American community in Brooklyn, New York to participate in diet-related interventions. Formative qualitative interviews were conducted in English and Bangla with Bangladeshi adults (n = 12) to understand current shopping/cooking behaviors, access and usage of food programs, awareness and interest in food programs, and future program preferences. Participants reported three key themes: centrality of community behaviors for program acceptability, creating opportunities to leverage community and social motivations, and addressing logistical concerns during program development. Gardening emerged as a promising program offering to increase access to fresh produce, strengthen community bonds, and foster cross-cultural understanding. Using community feedback, Harvest Share Seedlings, a community-informed home gardening program, was co-developed and implemented with farming and community partners to increase access to fresh produce for the Bangladeshi community. The findings highlight the need to understand and center community-specific considerations when designing and implementing food programs and interventions. Adopting a community-informed approach increases uptake and acceptability from the community, and ensures sustainability in the long run.

BACKGROUND:New York City (NYC) Cancer Outreach Network in Neighborhoods for Equity and Community Translation (CONNECT) aims to address determinants of cancer screening and access disparities in low-income NYC neighborhoods with high cancer burden. OBJECTIVES/OBJECTIVE:NYC CONNECT community partners formed neighborhood action councils (NACs) and engaged in mixed-method formative research and an iterative consensus-building process to co-identify structural and social determinants of cancer screening. The NACs co-developed with health and academic partners community-level strategies to address structural determinants of health. The objective of this manuscript is to describe participatory processes to engage and support community partners in low-income and high poverty communities and the evaluation of their functioning within the context of a community-academic research partnership. METHODS:NYC CONNECT partnership development is informed by trauma-informed community building and community-based participatory research principles. Our mixed-methods partnership evaluation included surveys, qualitative interviews, and speaking time in meetings as a proxy for engagement. LESSONS LEARNED/CONCLUSIONS:Trauma-informed community building and community-based participatory research informed co-learning and consensus-building activities among the NACs. Identifying and prioritizing structural and social determinants of health strategies was a non-linear, iterative process that required multiple interactive activities (e.g., asset mapping, impact to effort matrix, and voting). CONCLUSION/CONCLUSIONS:Community engagement is a dynamic process that requires adapting to community partners' goals and sharing decision-making power.