Faculty Bibliography

Background: Pregnancy is a crucial period to improve cardiovascular health (CVH) for mothers and their families. The current study emphasizes framework-guided factors that influence the adaptation of an evidence-based intervention (Parents as Teachers and Healthy Eating Active Living Taught at Home [PAT + HEALTH]) to support healthy gestational weight gain and postpartum weight management among pregnant women with obesity and their infants in Nigeria. Methods: From May to June 2023, 43 in-depth interviews were conducted with 11 parents, 15 community health extension workers (CHEWs)/health educators, and 17 policymakers/ healthcare supervisors in the Federal Capital Territory, Nigeria. Additionally, nine focus groups were conducted with 75 participants. Interviews were recorded, de-identified, and transcribed. The updated Consolidated Framework for Implementation Research (CFIR 2.0) informed the development of the interview guides and the thematic analysis. Transcripts were double-coded using Dedoose. Results: We identified assessing context, tailoring strategies, local attitudes, and sustainability as constructs to consider when adapting and implementing the PAT + HEALTH intervention successfully within the Nigerian primary care context. For example, policymakers and healthcare supervisors emphasized the feasibility of the intervention, including raising community awareness, planning for hard-to-reach areas, and ensuring supportive supervision of CHEWs delivering the intervention. Additional factors included customizing educational content and delivery methods to fit the cultural, socioeconomic, and environmental contexts of Nigerian families. CHEWs highlighted the importance of public education on locally available foods for better nutrition. Potential barriers to the PAT + HEALTH intervention included local attitudes influenced by sociocultural factors, such as food taboos, and structural factors, including limited financial support for the long-term sustainability of some components of the home visiting program. Conclusions: Building on these formative activities, the ENHANCE CVH trial will advance dissemination and implementation science by adapting, testing, and evaluating the effectiveness and implementation of the PAT + HEALTH intervention among pregnant women with obesity and their infants in Nigeria in a cluster randomized trial. Trial registration: ClinicalTrials.gov/NCT06773299, Registration Date: January 14, 2025.

BACKGROUND/UNASSIGNED:Effective management of alcohol withdrawal syndrome during hospitalization is paramount to patient safety and quality care. NYC Health + Hospitals initiated a quality improvement project to pilot an electronic health record (EHR) integrated, nurse-driven CIWA-Ar symptom-triggered protocol, including recommendations for medications for alcohol use disorder (MAUD), in medical and surgical units at 3 public hospitals. OBJECTIVE/UNASSIGNED:To describe implementation processes and to report related implementation outcomes (appropriateness, feasibility, and adoption) of the updated CIWA-Ar protocol in a safety net hospital setting. METHODS/UNASSIGNED:NYC Health + Hospitals implemented a standardized CIWA-Ar symptom-triggered, nurse-driven EHR protocol on March 15, 2022. The protocol included order sets, practice advisories, task lists, and reminders for assessments and orders. We measured nursing perspectives on feasibility and appropriateness at 6 months via a survey. We measured provider adoption as the proportion of admissions with a CIWA-Ar protocol ordered among admissions that triggered a recommendation, and MAUD use as the proportion of admissions with a MAUD order during hospitalization among all patients with a protocol ordered. RESULTS/UNASSIGNED:= .249). CONCLUSIONS/UNASSIGNED:The CIWA-Ar protocol was appropriate, feasible, and adopted at NYC public hospitals. Quality improvements to ensure protocol fidelity with benzodiazepine dosing and MAUD prescribing are needed.

BACKGROUND/UNASSIGNED:Weight bias is pervasive, occurs in a variety of contexts, and is associated with a range of suboptimal outcomes, including delays or avoidance in seeking health care, misdiagnosis, and denial of services. The aim of this study was to quantitatively describe the relationship between experiences of weight bias and eating behaviors of patients in a lifestyle medicine program and qualitatively describe healthcare providers' insights about weight bias. METHODS/UNASSIGNED:This study utilized an explanatory sequential design that drew on one-time survey data collected from 109 patients of a Plant-Based Lifestyle Medicine (PBLM) Program in New York City in 2019. Ordinary Least Squares and logistic regression models examined the association between weight bias and healthful plant-based eating and emotional eating after adjusting for sociodemographic characteristics. Qualitative data come from asynchronous interviews with five healthcare providers from the PBLM program completed in 2024 which were analyzed using rapid coding. RESULTS/UNASSIGNED:Survey participants were on average 53 years old, 67.0% female, 68.6% Black, Indigenous, and other people of color (BIPOC), and 56.2% reported experiencing weight bias. Weight bias was associated with 4.07 fewer points on the healthful plant-based eating measure (95%CI: 6.86, -1.27), and participants had 5.06 times the odds (95%CI: 1.76, 14.59) of emotional eating compared to those not reporting weight bias. Interview themes were: (1) Weight bias negatively influences patient lives, (2) Weight bias is negatively associated with patients' mental health, (3) Promising weight-inclusive approaches, and (4) Recommendations for providers to address weight bias. CONCLUSION/UNASSIGNED:Experiences of weight bias were associated with suboptimal eating behaviors and poor mental health. Providers observed their patients experience harm in connection with weight bias, suggested weight-inclusive approaches, and identified recommendations that would mitigate weight bias in healthcare environments including routinely screening for weight bias, training providers on weight inclusive care, incorporating mental health services into care teams, and creating size inclusive spaces. This study demonstrates that weight bias is linked to deleterious outcomes and the importance of weight-inclusive care delivery and environments.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Plasma biomarkers such as phospho-tau species are increasingly used in clinical practice for the diagnosis of Alzheimer disease (AD). Phosphorylated-tau at threonine 181 (p-tau181) values also provide prognostic information about incident dementia. Cognitive status similarly conveys prognostic information, but the relationship between plasma biomarkers for AD and cognitive status requires clarification. METHODS:Participants from the Atherosclerosis Risk in Communities (ARIC) study who were adjudicated as free of dementia in 2011-2013 had plasma samples analyzed for p-tau181 and other biomarkers. Participants were surveilled for incident dementia through December 31, 2022. Cumulative incidence curves, Cox models, and Fine-Gray models were used to evaluate the independent and combined discriminatory accuracy of cognitive status and plasma biomarkers for incident dementia. RESULTS:The sample comprised 1,577 ARIC participants (age 76.5 years, 60% women, 73% White, 27% Black). The risk of incident dementia was higher in persons with a baseline status of mild cognitive impairment (covariate-adjusted hazard ratio [HR] 2.94, 95% CI 2.61-3.33) compared with those who were cognitively unimpaired independent of biomarker status. The risk of dementia was also higher in persons with more abnormal concentrations of p-tau181 and other biomarkers independent of cognitive status. When age, cognitive status, and p-tau181 were included in the same models, the risk was attenuated relative to models where only cognitive status or plasma biomarkers were included. For continuous p-tau181 concentrations, the covariate-adjusted HR without cognitive status was 1.45 (95% CI 1.36-1.54), but when cognitive status was included, the HR decreased to 1.37 (95% CI 1.29-1.46). Models showed that when combined with age, p-tau181 alone, cognitive status alone, or the combination of p-tau181 and cognitive status had similar discriminatory accuracy. DISCUSSION/CONCLUSIONS:Cognitive status and plasma biomarker concentrations convey independent but overlapping information about the risk of incident dementia. Although cognitive status and plasma p-tau181 have similar discriminatory accuracies, the far lower incidence rate of dementia in persons who are initially cognitively unimpaired highlights the importance of an accurate clinical diagnosis.

Consumer wearable devices are commonly used by patients and consumers for several reasons with increasing application as new technologies are developed. Use of these devices is an emerging issue in Neurology because of increased adoption and the additional data reported to providers by patients. Understanding of possible functions, limitations, and effect on patients of non-US Food and Drug Administration (FDA)-cleared wearable technology to inform neurologic care is needed. A common theme in people with neurologic conditions regarding consumer wearables and associated tracking applications is that there is significant promise in these tools, but adherence (days per use/per week), continued engagement (attrition), and unintended consequences such as heightened anxiety remain important issues. Further understanding and validation of these devices is needed within the field of Neurology before full use and confidence can be achieved. Below, we provide examples of non-FDA-cleared wearable devices used in Neurology in the areas of epilepsy, headache, cardiac monitoring, and sleep.

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).

BACKGROUND AND OBJECTIVES/OBJECTIVE:The link between repetitive head impact (RHI) exposure, later-life cognitive decline, and neurobehavioral dysregulation (NBD) is not well understood. Recent work has implicated inflammation and limbic dysfunction as relevant RHI correlates. Our goal was to integrate plasma and CSF inflammatory biomarkers, structural brain imaging, and clinical measures in former elite American football players to better understand reasons for RHI-related cognitive and neurobehavioral changes. METHODS: RESULTS: DISCUSSION/CONCLUSIONS:In former elite football players, elevated plasma and CSF inflammatory markers were associated with poorer limbic WM microstructure, which in turn related to worse cognition. Given the limbic system's role in cognition and behavior, inflammation may be a modifiable target for RHI-related neurodegeneration. Limitations include the cross-sectional design and limited generalizability to other contact sports, lower levels of play, female athletes, or other RHI sources.

Environmental exposures can have adverse associations with perinatal health and birth outcomes. This study aimed to identify the overlap and association between urban areas of environmental risk and adverse perinatal health indicator hotspots in New York City. We examined 2101 census tracts representing 575,257 births from 2016 to 2020 recorded by the New York City Bureau of Vital Statistics looking at preterm birth, adolescent pregnancy, and pre-pregnancy obesity rates. The Getis-Ord Gi* statistic was used to identify geospatial hotspots of adverse indicators. We used multivariable logistic regression to assess associations between areas of environmental risk and odds of indicator hotspot status and Poisson regression to assess associations of hotspot overlap. Overall, 54.6% of environmental risk areas were hotspots for at least one adverse perinatal indicator, accounting for 63.7% of preterm birth hotspots, 93.7% of adolescent pregnancy hotspots, and 67.3% of pre-pregnancy obesity hotspots. Compared with non-risk areas, risk areas had greater odds of being a hotspot of preterm birth (aOR = 2.11; 95% CI 1.60-2.78), adolescent pregnancy (aOR = 32.8; 21.8-49.4), and pre-pregnancy obesity (aOR = 3.15; 2.56-3.87). Environmental risk areas were expected to have 3.36 times the number of overlapping hotspots after adjusting for parental birthplace and parity. The overlap between environmental risk areas and hotspots of adverse perinatal health indicators and the associations with individual indicators and overlapping hotspots suggest that environmental risk area designation may be a useful measure of perinatal health vulnerability for targeted community interventions.

OBJECTIVES/OBJECTIVE:Self-report and biospecimen testing to assess drug exposure have limitations. Surface testing of personal objects (e.g., mobile phones) may provide complementary information about drug exposure, particularly when there is discordance between biospecimen results and self-report. We examined whether mobile phone swab testing, alongside self-report and oral fluid data, could provide information regarding drug exposure among nightlife attendees-a population with high prevalence of party drug use. We also examined whether detection could inform situations in which a drug is detected in oral fluid but not reportedly used. METHODS:In 2025, we assessed self-reported drug use and analyzed oral fluid and swabs of mobile phones from 127 adults attending nightclubs in New York City. We compared the prevalence of detection of cocaine, ketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 4-methylmethcathinone (4-MMC) across the three modes of collection. RESULTS:Cocaine was detected on 26.8% of phones, followed by ketamine (22.0%), 4-MMC (3.1%), and MDMA (2.4%). When classifying phone detection, reported past-48-hour use and oral fluid detection of cocaine and ketamine demonstrated high specificity (0.85-0.91), but lower sensitivity (0.37-0.73). Among participants with oral fluid positivity after not reporting use, 33.3% and 17.1% of these discordant cases had ketamine and cocaine detected on their phones, respectively. CONCLUSIONS:Phone swab results often align with self-reported use and, less consistently with biologically confirmed exposure. However, drugs detected on phones may reflect less recent use or unintentional environmental sources contributing to oral fluid detection, supporting the role of phone swabbing as a complementary tool for detecting possible drug exposure.