Faculty Bibliography

We evaluated the effectiveness of a community research partnership focused on improving severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing for New York City residents during the pandemic. We employed interviews, a focus group, and a survey to evaluate partnership characteristics, engagement, and future collaboration. Qualitative analysis revealed five core themes: committee identity, collective goals, information sharing, adaptability, and trust. The findings highlight the importance of flexibility, shared goals, diverse representation, open communication, and trust in effective multisector community health partnerships. (Am J Public Health. 2026;116(4):431-436. https://doi.org/10.2105/AJPH.2025.308358).

INTRODUCTION/BACKGROUND:We examined obstructive sleep apnea (OSA) severity's association with Alzheimer's disease (AD) plasma biomarkers, independent or synergistic with cerebrospinal fluid (CSF) amyloid, and as a proof of concept, whether plasma amyloid beta (Aβ)42/Aβ40 with OSA severity improves detection of amyloidosis and tau pathology. METHODS:In 120 cognitively normal older adults (70 with CSF data) from New York University sleep and aging studies (2013-2021), OSA severity was measured using apnea/hypopnea index with 4% desaturation; plasma Aβ40, Aβ42, tau, and neurofilament light chain (NfL) via single molecule array; CSF amyloid and tau via enzyme-linked immunosorbent assay. Associations evaluated adjusted correlations and generalized models; receiver operating characteristic analyses evaluated diagnostic accuracy. RESULTS:OSA severity correlated with plasma Aβ40 (r = 0.21), Aβ42 (r = 0.26), and Aβ42/Aβ40 (r = 0.20). Plasma tau and NfL associations depended on CSF-Aβ42. OSA severity with Aβ42/Aβ40 improved CSF amyloidosis (area under the curve [AUC] = 0.78) and tau pathology (AUC = 0.71) detection. DISCUSSION/CONCLUSIONS:OSA severity relates to elevated plasma Aβ and, with CSF amyloid, to tau/NfL. Combined plasma and OSA measures aid non-invasive AD associations' detection.

BACKGROUND:Obstructive sleep apnea (OSA) is associated with Alzheimer's disease (AD) risk. Racial-, ethnic-, and sex-specific mechanisms of OSA and AD risk were examined. METHODS:We analyzed data from 3978 polysomnography patients without cognitive decline aged ≥ 60 including 663 OSA+ patients (284 non-Hispanic White, 207 Black, 172 Hispanic) matched to OSA- cohorts (1:1, n = 663; 1:4, n = 2652) and followed for AD through 2013. RESULTS:During the 8.5 (standard deviation 1.4) year period, 358 patients developed AD. AD risk was higher for Black (adjusted hazard ratio [aHR] 2.24 [1.24-2.71]), Hispanic (aHR 1.73, [1.38-3.51]), White (aHR 1.83, [1.21-3.37]), male (aHR 2.38, [1.31-3.47]), and female (aHR 1.37, [1.14-2.41]) patients. Hypoxia, sleep fragmentation, and sleep duration (p < 0.01) were associated with increased risk. Black and Hispanic, and female patients showed stronger effects for hypoxia and duration, and fragmentation, respectively. DISCUSSION/CONCLUSIONS:Hypoxia, fragmentation, and duration may underlie racial-, ethnic-, and sex-specific effects of AD risk.

Wearables yield a wide array of sleep-related measures that are relevant to Long COVID. We leveraged wearables-derived sleep measures (WDSM) to identify differences between individuals with Long COVID (LC) versus individuals with possible or no LC in the RECOVER adult cohort. We found significant associations between LC and reduced heart rate variability measured during sleep and increased nightly variability in sleep duration after adjusting for confounders. Moreover, LC was independently associated with lower sleep efficiency, greater variability of nighttime sleep timing, higher resting heart rate, lower respiratory rate during rapid eye movement (REM) sleep, prolonged REM sleep onset latency, worse global physical and mental health. Cluster analysis identified distinct multidimensional patterns of WDSM that are associated with LC and quality of life. Together, the strong association between WDSM, or WDSM clusters, with LC provides a potential biomarker for future validation efforts to detect LC and monitor treatment effectiveness.

BACKGROUND/UNASSIGNED:Social determinants of health (SDoH) contribute to disparities in SARS-CoV-2 infection, but their associations with long COVID are unknown. OBJECTIVE/UNASSIGNED:To determine associations between SDoH at the time of SARS-CoV-2 infection and risk for long COVID. DESIGN/UNASSIGNED:Prospective observational cohort study. SETTING/UNASSIGNED:33 states plus Washington, DC, and Puerto Rico. PARTICIPANTS/UNASSIGNED:Adults (aged ≥18 years) enrolled in RECOVER-Adult (Researching COVID to Enhance Recovery) between October 2021 and November 2023 who were within 30 days of SARS-CoV-2 infection; completed baseline SDoH, comorbidity, and pregnancy questionnaires; and were followed prospectively. MEASUREMENTS/UNASSIGNED:Social risk factors from SDoH baseline questionnaires, ZIP code poverty and household crowding measures, and a weighted score of 11 or higher on the Long COVID Research Index 6 months after infection. RESULTS/UNASSIGNED:Among 3787 participants, 418 (11%) developed long COVID. After adjustment for demographic characteristics, pregnancy, disability, comorbidities, SARS-CoV-2 severity, and vaccinations, financial hardship (adjusted marginal risk ratio [ARR], 2.36 [95% CI, 1.97 to 2.91]), food insecurity (ARR, 2.36 [CI, 1.83 to 2.98]), less than a college education (ARR, 1.60 [CI, 1.30 to 1.97]), experiences of medical discrimination (ARR, 2.37 [CI, 1.94 to 2.83]), skipped medical care due to cost (ARR, 2.87 [CI, 2.22 to 3.70]), and lack of social support (ARR, 1.79 [CI, 1.50 to 2.17]) were associated with increased risk for long COVID. Living in ZIP codes with the highest (vs. lowest) household crowding was also associated with greater risk (ARR, 1.36 [CI, 1.05 to 1.71]). LIMITATION/UNASSIGNED:Selection bias may influence observed associations and generalizability. CONCLUSION/UNASSIGNED:Participants with social risk factors at the time of SARS-CoV-2 infection had greater risk for subsequent long COVID than those without. Future studies should determine whether social risk factor interventions mitigate long-term effects of SARS-CoV-2 infection. PRIMARY FUNDING SOURCE/UNASSIGNED:National Institutes of Health.

BACKGROUND:Few studies assess the association between county-level incarceration rates and stroke death, and none test mechanisms. We examine the link between county imprisonment rates and stroke death, testing pathways and identifying racial disparities. METHODS:In a cross-sectional design, we regressed stroke death onto imprisonment rates, adjusting for poverty, racial composition, education, unemployment, insurance, and violent crime. Using bootstrap methodology, we tested mediation through sports/recreational facilities and food environment, mental health provider and primary care physician (PCP) access, and community mental distress. Data spanned 4 years (2016-2019) and included 2260 counties. RESULTS:Adjusted models indicated a 0.08 (95% CI, 0.05-0.10) increase in stroke deaths for every 1-unit change in imprisonment rate. This association was mediated by food environment (indirect effect, 0.006 [95% CI, 0.000-0.014]), primary care physician access (indirect effect, 0.002 [95% CI, 0.000-0.006]), and mental distress (indirect effect, 0.014 [95% CI, 0.007-0.022]). Counties in the top versus bottom quintile of imprisonment rates had 86.26% larger Black populations and 23.46% smaller White populations. Counties in the top versus bottom quintile of stroke death had 88.94% larger Black populations and 16.19% smaller White populations. CONCLUSIONS:Our results complement evidence that living in high-jail-incarceration counties contributes to stroke death and associated racial disparities. We provide new evidence on prison incarceration rates and the pathways underpinning this association. County-level imprisonment rates and the identified mechanisms represent avenues for further research into how stroke death and disparities may be mitigated.

INTRODUCTION/UNASSIGNED:A lack of coordinated federal guidance led to substantial heterogeneity in local COVID-19 policies across US states and counties. Local government policies may have contributed to increases in anxiety and mental health disparities during the COVID-19 pandemic. METHODS/UNASSIGNED:We analysed associations between composite policy scores for containment and closure, public health or economic support from the US COVID-19 County Policy Database and self-reported anxiety scores (Generalised Anxiety Disorder-7) from COVID-19 Citizen Science participants between 22 April 2020 and 31 December 2021. RESULTS/UNASSIGNED:In 188 976 surveys from 36 711 participants in 100 counties across 28 states, associations between anxiety and containment and closure policy differed by employment (p<0.0001), with elevated anxiety under maximal policy for people working in hospitality and food services (+1.05 vs no policy; 95% CI: 0.45, 1.64) or arts and entertainment (+0.56; 95% CI 0.15, 0.97) and lower anxiety for people working in healthcare (-0.43; 95% CI -0.66 to -0.20) after adjusting for calendar time, county-specific effects and COVID-19 case rates and death rates. For public health policy, associations differed by race and ethnicity (p=0.0016), with elevated anxiety under maximal policy among participants identifying as non-Hispanic Black (+1.71; 95% CI 0.26, 3.16) or non-Hispanic Asian (+0.74; 95% CI 0.05, 1.43) and lower anxiety among Hispanic participants (-0.63, 95% CI -1.26 to -0.006). Associations with public health policy also differed by gender (p<0.0001), with higher anxiety scores under maximal policy for male participants (+0.42, 95% CI 0.09, 0.75) and lower anxiety for female participants (-0.40, 95% CI -0.67 to -0.13). There were no significant differential associations between economic support policy and sociodemographic subgroups. CONCLUSIONS/UNASSIGNED:Associations between local COVID-19 policies and anxiety varied substantially by sociodemographic characteristics. More comprehensive containment policies were associated with elevated anxiety among people working in strongly affected sectors, and more comprehensive public health policies were associated with elevated anxiety among people vulnerable to racial discrimination.

BACKGROUND/UNASSIGNED:As part of an initiative to increase COVID-19 testing uptake among underserved populations, we conducted focus groups to explore experiences and attitudes related to testing in two understudied groups-young adults and socially-isolated older adults-recruited from residents living in New York City Housing Authority (NYCHA) public housing developments. MATERIALS AND METHODS/UNASSIGNED: = 32 total). To identify themes, we conducted a rapid qualitative analysis approach. RESULTS/UNASSIGNED:Residents discussed four overarching themes: (1) trusted COVID-19 information sources; (2) reasons for testing; (3) barriers to testing, and (4) strategies to increase testing uptake. Findings were similar across the two age groups; both cited multiple sources of information, including major media outlets, government or public health officials, and doctors. Young adults were more likely to access information from social media despite concerns about misinformation. Participants identified several barriers to testing, such as long lines, insurance coverage, and cost. Young adults reported that at-home COVID testing was more convenient, while older adults expressed concern about accuracy and administering the tests themselves. Recommendations for improving testing emphasized easier access via a central well-known location, in-home visits, free or low-cost tests, and increased outreach. CONCLUSION/UNASSIGNED:Mainstream media, doctors and public agencies remain the most trusted sources of information among younger and older residents alike. Many resident recommendations involved leveraging NYCHA infrastructure, highlighting the continuing role public housing authorities can play in COVID-19 and other health initiatives.

BACKGROUND:The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS:Eligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION/CONCLUSIONS:The DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT05046886. Registered on September 16, 2021.

BACKGROUND/UNASSIGNED:The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately-controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS/UNASSIGNED:intervention, plus real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION/UNASSIGNED:The DiaTeleMed study will address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION/UNASSIGNED:The DiaTeleMed Study is registered with ClinicalTrials.gov (Identifier: NCT05046886).