Faculty Bibliography

Interactions with the police may result in police brutality, particularly for people of color. Black men who have sex with men (BMSM) face disproportionate risk of police contact and may experience elevated violence risk. We measured longitudinal associations between discriminatory police harassment (DPH) and subsequent risk of a range of interpersonal violence experiences, including intimate partner violence (IPV). In this study, we estimated associations between DPH motivated by racism, homophobia, or both, and subsequent violent experiences (being physically harassed, hit, threatened with weapons, and intimate partner violence) among BMSM. Bivariate and multivariable regression analyses were used to control for demographic and behavioral factors. Among 1160 BMSM included at 12-month follow-up, experiencing DPH motivated by racism and homophobia was associated with over four times the odds of being threatened with violence (AOR 4.85, 95% CI 3.20, 7.33), four times the odds of or experiencing violence defined as being punched, kicked, or beaten, or having an object thrown at them (AOR 4.51, 95% CI 2.82, 7.19), and nearly three times the odds of physical partner abuse (AOR 3.49, 95% CI 1.69, 7.19). Findings suggest that for BMSM, DPH is associated with the threat and experience of violence, with a dose-response relationship between DPH motivated by one or more causes. Given that BMSM are a population particularly vulnerable to both police harassment related to race and sexual orientation and violence coupled with stigma, additional research evaluating mechanisms linking these associations is needed in order to develop additional supportive interventions.

CONTEXT/BACKGROUND:In preclinical studies, high androgen levels during pregnancy are associated with low birth weight and rapid postnatal weight gain in the offspring. However, human data linking prenatal androgens with birth weight and early life weight gain in the offspring are scarce. DESIGN/METHODS:We evaluated 516 mother-child pairs enrolled in the New England birth cohorts of the Collaborative Perinatal Project (1959-1966). We assayed androgen bioactivity in maternal sera during third-trimester using a receptor-mediated luciferase expression bioassay. Age and sex-specific BMI Z-scores (BMIz), defined using established standards, were assessed at birth, 4 months, 1 year, 4 years, and 7 years. We used linear mixed models to evaluate the relation of maternal androgens with childhood BMIz overall and by sex. We examined the association of maternal androgens with fetal growth restriction. The association of weight trajectories with maternal androgens was examined using multinomial logistic regression. RESULTS:Higher maternal androgen levels associated with lower BMIz at birth (β = - 0.39, 95% CI: - 0.73, - 0.06); this relation was sex-dependent, such that maternal androgens significantly associated with BMIz at birth in girls alone (β = - 0.72, 95% CI: - 1.40, - 0.04). The relation of maternal androgens with fetal growth restriction revealed dose threshold effects that differed by sex. There was no significant association between maternal androgens and weight trajectory overall. However, we found a significant sex interaction (p = 0.01); higher maternal androgen levels associated with accelerated catch-up growth in boys (aOR = 2.14, 95% CI: 1.14, 4.03). CONCLUSION/CONCLUSIONS:Our findings provide evidence that maternal androgens may have differential effects on the programming of intrauterine growth and postnatal weight gain depending on fetal sex.

There have long been noted significant health disparities related to cancer in populations comprised of low-income and minority individuals, including those with gynecologic cancers. Compliance with appointments related to cancer care is critical to ensuring timely diagnosis, treatment, and detection of disease progression. At a public safety net hospital in New York City, the rate of clinic absenteeism in gynecologic oncology clinic was noted to be nearly 20%. This prospective, survey-based study catalogued reasons for clinic absenteeism and noted that the most common reason an appointment was missed was the patient being unaware it existed. Next most common reasons were medical conflicts and family obligations. Patients at this clinic would benefit from a clinic navigator to assist with scheduling appointments, remind patients of upcoming appointments, and resolve conflicting medical appointments.

Machine learning is a class of algorithms able to handle a large number of predictors with potentially nonlinear relationships. By applying machine learning to obesity, researchers can examine how risk factors across multiple settings (e.g., school and home) interact to best predict childhood obesity risk. In this narrative review, we provide an overview of studies that have applied machine learning to predict childhood obesity using a combination of sociodemographic and behavioral risk factors. The objective is to summarize the key determinants of obesity identified in existing machine learning studies and highlight opportunities for future machine learning applications in the field. Of 15 peer-reviewed studies, approximately half examined early childhood (0-24 months of age) determinants. These studies identified child's weight history (e.g., history of overweight/obesity or large increases in weight-related measures between birth and 24 months of age) and parental overweight/obesity (current or prior) as key risk factors, whereas the remaining studies indicated that social factors and physical inactivity were important in middle childhood and late childhood/adolescence. Across age groups, findings suggested that race/ethnic-specific models may be needed to accurately predict obesity from middle childhood onward. Future studies should consider using existing large data sets to take advantage of the benefits of machine learning and should collect a wider range of novel risk factors (e.g., psychosocial and sociocultural determinants of health) to better predict childhood obesity. Ultimately, such research can aid in the development of effective obesity prevention interventions, particularly ones that address the disproportionate burden of obesity experienced by racial/ethnic minorities.

Background Older adults with Alzheimer disease (AD) have high rates of emergency department (ED) visits, hospital admissions, and revisits to the ED, which are associated with poor clinical outcomes. ED providers are in a unique role to impact the care trajectories of older adults with AD since they are at the crossroads of inpatient and ambulatory care. Few studies have used administrative data to describe care trajectories of older adults with AD from the ED perspective. Our study aims to use Medicare claims data to 1) identify and characterize older adults with AD presenting to the ED, and 2) describe their post-ED visit outcomes including ED disposition, healthcare utilization and survival in the 12 months following an index ED visit. Methods We identified older adults aged 66+ years with AD who presented to 33 EDs across the United States between January 1, 2014 and June 30, 2019 using Medicare claims by selecting patients with two AD diagnoses, at least one of which is associated with an office visit, at least 7 days apart. Descriptive statistics were used to characterize demographics and post-ED visit outcomes. Results Of the 74,543 patients meeting inclusion criteria with an index ED visit during the study period, 62.6% were male, 75.7% were white, and the mean age was 83.2 years. The majority were admitted from home with (10.3%) or without (73.2%) home health, while 16.6% were admitted from a nursing facility. More than half of the patients were admitted to the hospital (54.6%), and few were discharged to a nursing home (2.9%), hospice (0.3%), or home health (1.4%). In the 12 months following the index ED visit, 42.7% of patients had at least one ED revisit, 44.6% were later admitted to the hospital, 12.7% were admitted to hospice, and 29.2% died. Conclusions This study highlights the utility of Medicare claims data to identify older adults with AD presenting to the ED and describe their care trajectories. It confirms older adults with AD who visit the ED have high rates of inpatient admissions, ED revisits, and subsequent hospital admissions despite high one-year mortality. This data is foundational for future interventions addressing the role of emergency providers in balancing the benefits and harms of hospitalization for older adults with AD and connecting these high-utilizers with appropriate outpatient services

The purpose of this study was to examine factors that influence a person's choice of cognitive-behavioral therapy (CBT) or yoga, the stability of these preferences, and the impact of preference on engagement and process measures. We conducted a randomized preference trial of CBT and yoga in 500 adults ≥60 years with symptoms of worry. Participants reported their intervention preference, strength of preference, and factors impacting preference. Engagement in the intervention (session completion and dropout rates) was assessed. Process measures included satisfaction with the intervention, therapeutic alliance, and intervention expectancy. Neither intervention preference (48% and 52% chose CBT and yoga, respectively) nor strength of preference differed significantly between the two preference trial groups. Intervention expectancies at baseline among those in the preference trial were approximately 4.5 units (40-point scale) higher for their preferred intervention (p < .0001 within each group). A principal component analysis of factors influencing preference identified three constructs. Using logistic regression, components focused on attitudes about CBT or yoga were predictive of ultimate preference (odds ratio = 11.5, 95% C.I.6.3-21.0 per 1SD difference in component 1 for choosing CBT; odds ratio = 7.8, 95% CI4.3-13.9 per 1SD difference in component 2 for choosing yoga). There were no significant differences between the randomized and preference trials on intervention adherence, completion of assessments, intervention satisfaction, or working alliance. Receiving a preferred treatment had no significant effects on intervention outcomes through participant engagement or process measures. When options are limited, providers may have confidence in offering the most readily available non-pharmacological treatments.

INTRODUCTION/BACKGROUND:The purpose of this study is to assess community pharmacists' attitudes and experiences related to naloxone dispensation and counseling in non-urban areas in New York State to better understand individual and structural factors that influence pharmacy provision of naloxone. MATERIALS AND METHODS/METHODS:The study conducted interviewer-administered semistructured surveys among community pharmacists in retail, independent, and supermarket pharmacies between October 2019 and December 2019. The 29-item survey ascertained pharmacists' demographic and practice characteristics; experiences and beliefs related to naloxone dispensation; and attitudes toward expansion of pharmacy services to include on-site public health services for persons who use opioids. The study used Chi square tests to determine associations between each characteristic and self-reported naloxone dispensation (any vs. none). RESULTS:A total of 60 of the 80 community pharmacists that the study team had approached agreed to participate. A majority were supportive of expanding pharmacy-based access to vaccinations (93.3%), on-site HIV testing, or referrals (75% and 96.7%, respectively), providing information on safe syringe use (93.3%) and disposal (98.3%), and referrals to medical/social services (88.3%), specifically substance use treatment (90%). A majority of pharmacist respondents denied negative impacts on business with over half reporting active naloxone dispensation (58.3%). Pharmacists dispensing naloxone were more likely to be multilingual (p < 0.03), and to specifically support on-site HIV testing (p < 0.02) than those who were not dispensing naloxone. DISCUSSION/CONCLUSIONS:Community pharmacists were highly favorable of naloxone dispensation in rural and small metro area pharmacies in NY, and those fluent in additional language(s) and supportive of on-site HIV testing were associated with active naloxone dispensation. While active naloxone dispensation was low, pharmacists appear supportive of a "frontline public health provider" model, which could facilitate naloxone uptake and warrants large-scale investigation. CONCLUSION/CONCLUSIONS:Rural and small metro area pharmacists are generally favorable of naloxone dispensation.