Faculty Bibliography

Despite considerable progress, smoking remains the leading preventable cause of death in the United States. To address the considerable health and economic burden of tobacco use, the development of improved tobacco control and treatment interventions is critical. By combining elements of economics and psychology, behavioral economics provides a framework for novel solutions to treat smokers who have failed to quit with traditional smoking cessation interventions. The full range of behavioral economic principles, however, have not been widely utilized in the realm of tobacco control and treatment. Given the need for improved tobacco control and treatment, the limited use of other behavioral economic principles represents a substantial missed opportunity. For this reason, we sought to describe the principles of behavioral economics as they relate to tobacco control, highlight potential gaps in the behavioral economics tobacco research literature, and provide examples of potential interventions that use each principle.

Prediabetes affects at least 1 in 3 adults in the U.S. and 1 in 5 in Europe. Although guidelines advocate aggressive management of lipid parameters in diabetes, most guidelines do not address treatment of dyslipidemia in prediabetes despite the increased atherosclerotic cardiovascular disease (ASCVD) risk. Several criteria are used to diagnose prediabetes: impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and HbA1c of 5.7-6.4%. Individuals with prediabetes have a greater risk of diabetes, a higher prevalence of dyslipidemia with a more atherogenic lipid profile and an increased risk of ASCVD. In addition to calculating ASCVD risk using traditional methods, an OGTT may further stratify risk. Those with 1-hour plasma glucose ≥8.6 mmol/L (155 mg/dL) and/or 2-hour ≥7.8 mmol/L (140 mg/dL) (IGT) have a greater risk of ASCVD. Diet and lifestyle modification are fundamental in prediabetes. Statins, ezetimibe and PCSK9 inhibitors are recommended in people requiring pharmacotherapy. Although high-intensity statins may increase risk of diabetes, this is acceptable because of the greater reduction of ASCVD. The LDL-C goal in prediabetes should be individualized. In those with IGT and/or elevated 1-hour plasma glucose, the same intensive approach to dyslipidemia as recommended for diabetes should be considered, particularly if other ASCVD risk factors are present.

BACKGROUND:Patient morbidity and mortality decrease when injured patients meeting CDC Field Triage Criteria (FTC) are transported by emergency medical services (EMS) directly to designated trauma centers (TCs). This study aimed to identify potential disparities in the transport of critically injured patients to TCs by EMS. STUDY DESIGN/METHODS:We identified all patients in the National EMS Information System (NEMSIS) database in the National Association of EMS State Officials East region from January 1, 2018, to December 31, 2019, with a final prehospital acuity of critical or emergent by EMS. The cohort was stratified into patients transported to TCs or non-TCs. Analyses consisted of descriptive epidemiology, comparisons, and multivariable logistic regression analysis to measure the association of demographic features, vital signs, and CDC FTC designation by EMS with transport to a TC. RESULTS:A total of 670,264 patients were identified as sustaining an injury, of which 94,250 (14%) were critically injured. Of those 94,250 critically injured, 56.0% (52,747) were transported to TCs. Among all critically injured women (n = 41,522), 50.4% were transported to TCs compared with 60.4% of critically injured men (n = 52,728, p < 0.001). In a multivariable logistic regression model, critically injured women were 19% less likely to be taken to a TC compared with critically injured men (OR 0.81, 95% CI 0.71-0.93, p = 0.003). CONCLUSIONS:Critically injured female patients are less likely to be transported to TCs when compared with their male counterparts. Performance improvement processes that assess EMS compliance with field triage guidelines should explicitly evaluate for sex-based disparities. Further studies are warranted.

Importance/UNASSIGNED:The establishment and renovation of supermarkets may promote healthy diet practices among youth by increasing retail infrastructure for fresh foods. Objective/UNASSIGNED:To estimate the association between the Food Retail Expansion to Support Health (FRESH) program and the weight status of children and adolescents. Design, Setting, and Participants/UNASSIGNED:Using a difference-in-differences (DiD) design and including 12 months before and after a FRESH supermarket opened, data were analyzed for residentially stable public school students in kindergarten through 12th grade with objectively measured height and weight data from the academic years 2009 through 2016. Of the 8 FRESH-subsidized supermarkets in residential neighborhoods in New York City, New York, 5 were new and 3 were renovation projects between December 2011 and June 2014. Data were analyzed from June 2021 to January 2022. Interventions/UNASSIGNED:The treatment group included students who resided within 0.50 miles of a FRESH-subsidized supermarket and had at least 1 body mass index (BMI) measurement within 12 months before and 3 to 12 months after the month a FRESH supermarket opened (n = 22 712 student-year observations). A 2-stage matching-weighting approach was used to construct a control group of students who resided more than 0.50 miles from a FRESH supermarket in a FRESH-eligible area (n = 86 744 student-year observations). Main Outcomes and Measures/UNASSIGNED:BMI z score was calculated using objectively measured height and weight data from FITNESSGRAM, an annual, school-based, standardized fitness assessment of every New York City public school student. Obesity was defined as 95th percentile or greater of the BMI z score using Centers for Disease Control and Prevention growth charts. Results/UNASSIGNED:The treatment group in the analytic sample had 11 356 students (22 712 student-year observations), and the control group had 43 372 students (86 744 student-year observations). The students were predominately Black (18.8%) and Hispanic and Latino (68.5%) and eligible for free or reduced-priced lunch (84.6%). There was a significant decrease in BMI z score among students who resided within 0.50 miles of a FRESH supermarket (vs control group students) in the 3- to 12-month follow-up period (DiD, -0.04; 95% CI, -0.06 to -0.02). This was true for those exposed to supermarkets that were either new (DiD, -0.07; 95% CI, -0.11 to -0.03) or renovated (DiD, -0.03; 95% CI, -0.06 to -0.01). A statistically significant decrease was also observed in the likelihood of obesity (DiD, -0.01; 95% CI, -0.02 to -0.002). Conclusions and Relevance/UNASSIGNED:Government-subsidized supermarkets may contribute to a small decrease in obesity risk among children residing near those supermarkets, if part of a comprehensive policy approach.

BACKGROUND/UNASSIGNED:Research exploring associations between exposure to social determinants of health and breastfeeding is needed to identify breastfeeding barriers. Housing insecurity and household conditions (chaos and crowding) may affect breastfeeding by increasing maternal stress and discomfort and decreasing time available to breastfeed. RESEARCH AIM/UNASSIGNED:We aimed to examine the relationships between housing insecurity, breastfeeding exclusivity intention during the early postnatal period, and breastfeeding exclusivity at 6 months postpartum among a sample "at risk" for suboptimal breastfeeding rates. METHODS/UNASSIGNED:= 361) at near-birth and child aged 6 months, in New York City and Pittsburgh. Structural equation modeling was used to examine direct and indirect effects of housing insecurity on breastfeeding exclusivity at child aged 6 months. RESULTS/UNASSIGNED:The path model showed that experiencing more markers of housing insecurity (i.e., foreclosure/eviction threat, history of homelessness, late rent) was predictive of significantly lower breastfeeding exclusivity at 6 months. This was partially mediated through less exclusive breastfeeding intention during the early postnatal period. Greater household crowding was associated with 6-month breastfeeding exclusivity when mediated by intention. Household crowding had differential effects by study site and participant race/ethnicity. CONCLUSION/UNASSIGNED:Refinement of housing insecurity as a multi-dimensional construct can lead to the development of standardized data collection instruments, inform future methodological decisions in research addressing social determinants of health, and can inform the development of responsive individual- and structural-level interventions.The data used in this study were collected as part of the SMART Beginnings Randomized Controlled Trial (NCT02459327 registered at ClinicalTrials.gov).

Importance/UNASSIGNED:Updated data on the patterns of e-cigarette use among adults in the US are needed. Objective/UNASSIGNED:To examine recent patterns in current and daily e-cigarette use among US adults. Design, Setting, and Participants/UNASSIGNED:This repeated cross-sectional study used data from the 2017, 2018, and 2020 Behavioral Risk Factor Surveillance System, a nationally representative state-based survey of noninstitutionalized US adults. A total of 994 307 adults 18 years and older who were living in states and territories that provided data on e-cigarette use in 2017 (53 states and territories), 2018 (36 states and Guam), and 2020 (42 states and Guam) were included. Main Outcomes and Measures/UNASSIGNED:The weighted prevalence of current (past 30 days) and daily e-cigarette use was estimated for each year, and changes in prevalence from 2017 to 2020 were assessed, first overall and then stratified by participant characteristics, including state or territory of residence. Results/UNASSIGNED:Among 994 307 adults from states with data on e-cigarette use, 429 370 individuals (weighted 51.3% female) were participants in the 2017 survey, 280 184 (weighted 52.1% female) were participants in the 2018 survey, and 284 753 (weighted 52.1% female) were participants in the 2020 survey. The weighted proportions of young adults aged 18 to 24 years were 12.6% in 2017, 11.8% in 2018, and 11.9% in 2020. Across all 3 years, 17 035 participants (weighted, 1.0%) were American Indian or Alaska Native, 22 313 (weighted, 4.6%) were Asian, 75 780 (weighted, 12.2%) were Black, 72 190 (weighted, 15.1%) were Hispanic, 4817 (weighted, 0.2%) were Native Hawaiian, 757 140 (weighted, 65.1%) were White, 20 332 (weighted, 1.3%) were multiracial, and 6245 (weighted, 0.5%) were of other races and/or ethnicities. The prevalence of current e-cigarette use was 4.4% (95% CI, 4.3%-4.5%) in 2017, which increased to 5.5% (95% CI, 5.4%-5.7%) in 2018 and decreased slightly to 5.1% (95% CI, 4.9%-5.3%) in 2020. The recent decrease, though modest, was observed mainly among young adults aged 18 to 20 years (from 18.9% [95% CI, 17.2%-20.7%] to 15.6% [95% CI, 14.1%-17.1%]; P = .004). However, the prevalence of daily e-cigarette use increased consistently from 1.5% (95% CI, 1.4%-1.6%) in 2017 to 2.1% (95% CI, 2.0%-2.2%) in 2018 and 2.3% (95% CI, 2.2%-2.4%) in 2020. Among young adults aged 21 to 24 years, there was a slight, albeit insignificant, increase in the prevalence of current e-cigarette use (from 13.5% [95% CI, 12.3%-14.7%] to 14.5% [95% CI, 13.2%-15.9%]; P = .28) but a significant increase in the prevalence of daily e-cigarette use (from 4.4% [95% CI, 3.8%-5.1%] to 6.6% [95% CI, 5.6%-7.6%]; P < .001) between 2018 and 2020. State-level patterns in the prevalence of current e-cigarette use were heterogeneous, with states like Massachusetts (from 5.6% [95% CI, 4.8%-6.5%] to 4.1% [95% CI, 3.1%-5.3%]; P = .03) and New York (from 5.4% [95% CI, 4.9%-5.9%] to 4.1% [95% CI, 3.5%-4.7%]; P = .001) recording significant decreases between 2018 and 2020. In contrast, Guam (from 5.9% [95% CI, 4.5%-7.9%] to 11.4% [95% CI, 8.7%-14.8%]; P = .002) and Utah (from 6.1% [95% CI, 5.5%-6.7%] to 7.2% [95% CI, 6.5%-8.0%]; P = .02) recorded significant increases in current e-cigarette use over the same period. Conclusions and Relevance/UNASSIGNED:In this study, a slight decrease in the prevalence of current e-cigarette use was found between 2018 and 2020; this decrease was mainly observed among young adults aged 18 to 20 years. In contrast, daily e-cigarette use consistently increased, particularly among young adults aged 21 to 24 years. This increase in daily use suggests greater nicotine dependence among those who use e-cigarettes, warranting continued surveillance.

BACKGROUND:Methamphetamine use is increasing among persons with opioid use disorder (OUD). The study aims were to describe methamphetamine/amphetamine (MA/A) use among patients treated for OUD with buprenorphine/naloxone (BUP-NX) or extended-release naltrexone (XR-NTX), and to explore associations between treatment arm and MA/A use. METHODS:Secondary analysis of data from a multi-site, open-label, randomized controlled trial of XR-NTX versus BUP-NX for 24 weeks. The outcome variable was MA/A use defined by either positive urine drug toxicology or self-report. The main predictor was treatment assignment (BUP-NX v. XR-NTX). Longitudinal mixed-effects logistic regression models were fit to model the odds of MA/A use during the study. Additional predictors included study visit and baseline MA/A use. RESULTS:Among the sample of 570 participants with OUD, baseline use of MA/A was observed in 105 (18.4%). There was no significant treatment effect over the study period, though BUP-NX subjects, on average, had about half the odds of MA/A use compared to XR-NTX subjects (OR=0.50; p = 0.051). In the same model, baseline MA/A use and study visit were both significantly associated with MA/A use over time. CONCLUSION:In this sample of treated OUD patients, nearly a fifth of participants had MA/A use at baseline and the frequency of use did not decline over time: in fact, the odds of use slightly increased for each later visit. These secondary analyses found no significant difference in MA/A use between BUP-NX and XR-NTX treatment arms, however, the observation of less MA/A in the buprenorphine arm merits further investigation. CLINICAL TRIAL REGISTRATION:ClinicalTrials.gov (NCT02032433).

BACKGROUND:Underrepresented minorities in medicine (URiM) are disproportionally represented in surgery training programs. Rates of URiM applying to and completing General Surgery residency remain low. We hypothesized that the patterns of URiM disparities would persist into Surgical Critical Care (SCC) fellowship applicants, matriculants and graduates. METHODS:We performed a retrospective analysis of SCC applicants, matriculants and graduates from 2005-2020 using the Graduate Medical Education (GME) resident survey and analyzed applicant characteristics using the Surgical critical care and Acute care surgery Fellowship Application Service (SAFAS) from 2018-2020. The data were stratified by race/ethnicity and gender. Indicator variables were created for Asian, Hispanic, White and Black trainees. Yearly proportions for each race/ethnicity and gender categories completing or enrolling in a program were calculated and plotted over time with Loess smoothing lines and overlying 95% confidence bands. The yearly rate and statistical significance of change over time were tested with linear regression models with race/ethnicity and gender proportion as the dependent variables and year as the explanatory variable. RESULTS:From 2005-2020, there were a total of 2,481 graduates. Black men accounted for 4.7% of male graduates with a significant decline of 0.3% per year for the study period of those completing the fellowship (p = 0.02). Black women comprised 6.4% of female graduates and had a 0.6% decline each year (p < 0.01). A similar trend was seen with Hispanic men, who comprised 3.2% of male graduates and had a 0.3% annual decline (p = 0.02). White men had a significant increase in both matriculation to and graduation from SCC fellowships during the same interval. Similarly, Black and Hispanic applicants declined from 2019 to 2020, while the percentage of White applicants increased. CONCLUSIONS:Disparities in URiM representation remain omnipresent in surgery and extend from residency training to SCC fellowship. Efforts to enhance the recruitment and retention of URiM in SCC training are warranted. LEVEL OF EVIDENCE/METHODS:Level IV - Therapeutic/Care Management.

The destruction of the World Trade Center (WTC) on September 11, 2001 (9/11) released large amounts of toxic dusts and fumes into the air that exposed many community members who lived and/or worked in the local area. Many community members, defined as WTC survivors by the federal government, developed lower respiratory symptoms (LRS). We previously reported the persistence of these symptoms in patients with normal spirometry despite treatment with inhaled corticosteroids and/or long-acting bronchodilators. This report expands upon our study of this group with the goal to identify molecular markers associated with exposure and heterogeneity in WTC survivors with LRS using a selected plasma biomarker approach. Samples from WTC survivors with LRS (n = 73, WTCS) and samples from healthy control participants of the NYU Bellevue Asthma Registry (NYUBAR, n = 55) were compared. WTCS provided information regarding WTC dust exposure intensity. Hierarchical clustering of the linear biomarker data identified two clusters within WTCS and two clusters within NYUBAR controls. Comparison of the WTCS clusters showed that one cluster had significantly increased levels of circulating matrix metalloproteinases (MMP1, 2, 3, 8, 12, 13), soluble inflammatory receptors (receptor for advanced glycation end-products-RAGE, Interleukin-1 receptor antagonist (IL-1RA), suppression of tumorigenicity (ST)2, triggering receptor expressed on myeloid cells (TREM)1, IL-6Ra, tumor necrosis factor (TNF)RI, TNFRII), and chemokines (IL-8, CC chemokine ligand- CCL17). Furthermore, this WTCS cluster was associated with WTC exposure variables, ash at work, and the participant category workers; but not with the exposure variable WTC dust cloud at 9/11. A comparison of WTC exposure categorial variables identified that chemokines (CCL17, CCL11), circulating receptors (RAGE, TREM1), MMPs (MMP3, MMP12), and vascular markers (Angiogenin, vascular cell adhesion molecule-VCAM1) significantly increased in the more exposed groups. Circulating biomarkers of remodeling and inflammation identified clusters within WTCS and were associated with WTC exposure.