Faculty Bibliography

OBJECTIVE:This cross-sectional study investigated the associations of neighborhood-level factors with immune activation, systemic inflammation, and leukocyte telomere length in 110 sexual minority men with human immunodeficiency virus. METHOD/METHODS:From 2013 to 2017, sexual minority men with human immunodeficiency virus who used stimulants were recruited in San Francisco, California and provided blood samples to measure the markers of immune activation, systemic inflammation, and leukocyte telomere length. To measure neighborhood-level indices, the home address for each participant was geocoded and linked to data from the Centers for Disease Control and Prevention. Hierarchical linear modeling was employed to investigate the associations of neighborhood-level factors with systemic inflammation and leukocyte telomere length. RESULTS:After adjusting for age, stimulant use, self-reported income, level of education, and race and ethnicity, residing in neighborhoods with greater percentages of poverty (β = .33, p < .001) and a higher proportion of racial/ethnic minority residents (β = .26, p < .05) were independently associated with higher levels of interleukin-6. Additionally, residing in neighborhoods with higher percentage of uninsured individuals was independently associated with higher tumor necrosis factor-alpha (β = .24, p < .05). Indices of neighborhood-level adversity were additionally associated with providing a urine sample that was reactive for stimulants (OR = 1.31, p = .002), which was, in turn, associated with shorter leukocyte telomere length (β = -.31, p < .05). CONCLUSIONS:Future longitudinal research should examine the biobehavioral pathways linking neighborhood-level factors and stimulant use with systemic inflammation and cellular aging. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

BACKGROUND:Tobacco use continues to take the lives of many, and targeted interventions can counter this health burden. One possible target population is patients who have had a smoking-related diagnosis, as they may have a greater drive to quit. OBJECTIVE:To assess whether patients with previous cardiac or pulmonary conditions directly attributable to smoking have greater rates of abstinence post-discharge from hospitalization in the CHART-NY trial. DESIGN/METHODS:CHART-NY was a randomized comparative effectiveness trial comparing a more intensive versus a less intensive smoking cessation intervention after hospital discharge. We divided the 1618 CHART-NY participants into a smoking-related history group of 597 and a nonsmoking-related history group of 1021 based on cardiac or pulmonary conditions in a retrospective chart review. We conducted chi-squared analyses on baseline characteristics. Using follow-up survey data, we conducted chi-squared analyses on abstinence outcomes and made logistic regression models for the predictive value of smoking-related conditions on abstinence. PARTICIPANTS/METHODS:A total of 1059 and 1084 participants in CHART-NY who completed both 2- and 6-month follow-up surveys respectively. MAIN MEASURES/METHODS:Self-reported 30-day abstinence at 2- and 6-month follow-up and survey data for baseline characteristics. KEY RESULTS/RESULTS:Those abstinent at 6-month follow-up were more likely to have a smoking-attributable history (OR = 1.40, 95% CI 1.09-1.81). When stratified based on intervention, only the intensive counseling group was significant (OR = 1.53, 95% CI 1.08-2.17). The regression model using a smoking-related comorbidity score was significant at 6 months (OR = 1.29, p = 0.03), and the multivariate logistic regression model analyzing each smoking-related condition separately demonstrated significance for myocardial infarction at 6 months (OR = 1.66, p = 0.03). CONCLUSIONS:People who smoke who have experienced smoking-related conditions may be more likely to benefit from smoking cessation interventions, especially intensive telephone-based counseling. Multiple conditions had an additive effect in predicting long-term abstinence after intervention, and myocardial infarction had the greatest predictive value.

BACKGROUND:Germline testing is important in prostate cancer and evaluation can be complex. METHODS:We instituted a monthly multi-disciplinary virtual genetics tumor board (7/2021-3/2022). Participants and panelists were surveyed on usefulness and acceptability. RESULTS:101 participants attended a session, and 77 follow-up surveys were completed. Over 90% participants and 100% panelists endorsed usefulness of the case discussions and usability of the technology. The majority felt it provided new information they will use. CONCLUSIONS:A multidisciplinary genetics board was successfully developed to address complexity in prostate cancer genetics. The virtual platform may enhance dissemination of expertise where there are regional gaps.

OBJECTIVE:To explore how Sesame Workshop resources are perceived by Latino families with economic hardship and to highlight approaches for early heart healthy routine promotion. METHODS:We performed a purposive sampling of Latina mothers (n = 40) with young children experiencing economic hardship. Using an interview guide informed by the Consolidated Framework for Implementation Research, we recorded Spanish and English semistructured interviews, which were translated and transcribed verbatim. Partnering with Sesame Workshop, we iteratively incorporated Sesame Resources into interviews to query for acceptability. Using reflexive thematic analysis, we coded transcripts through textual analysis until saturation, prioritizing in vivo coding to capture participant voices. RESULTS:We constructed 3 themes. Parents connected with resources that 1) Reflect lived and multicultural experiences containing recognizable family scenes that can serve as tools to transfer a parent's own early routines or cultural rituals to their child. They appreciated resources that 2) Engage caregivers and children together, featuring elements for both children and adult caregivers with activities to highlight important caregivers and encourage shared play. Participants also reflected on how 3) Routines amplify family strengths and foster resilient reactions with feelings of decreased stress when daily practices become routines, promoting resilient reactions and supporting long-term goals when facing setbacks. CONCLUSIONS:An interdisciplinary partnership leveraged strengths of pediatric practitioners and Sesame Workshop to align future initiatives with the values and priorities of mothers of young children at risk for early obesity. Resultant themes inform strategies to promote heart healthy routines and relational health in young children with economic hardship.

INTRODUCTION/BACKGROUND:Many U.S. states expanded the generosity of Medicaid insurance coverage of tobacco dependence treatment over the last fifteen years, but little is known about how coverage impacts cigarette smoking, especially for individuals with substance use disorder. METHODS:Data are from the 2009 to 2018 National Survey on Drug Use and Health and include Medicaid beneficiaries 18-64 years old with past year substance use disorder who smoked at least 100 cigarettes in their lifetime. Outcomes were smoking cessation, nicotine dependence, and number of cigarettes smoked per month. Difference-in-differences models were estimated for smoking behavior by state and year of comprehensive tobacco dependence treatment coverage, estimating multivariable linear probability models, adjusted for sociodemographic characteristics, co-occurring mental illness, and area-level provider supply. All data were analyzed in 2023 and 2024. RESULTS:Rates of nicotine dependence among individuals with past-year SUD increased slightly between 2009 and 2018 among individuals living in states with comprehensive tobacco dependence treatment coverage (55.6% to 58.6%) and changed little among individuals living in states with no or partial TDT coverage (60.0% to 59.5%). Quit rates increased for individuals with substance use disorder during this time, with no differences by comprehensive tobacco dependence treatment coverage. In adjusted models, no significant association between comprehensive Medicaid tobacco dependence treatment coverage and smoking behaviors was identified (e.g., cessation: β= -0.02, CI=-0.08, 0.04). One-year lagged outcomes and sensitivity analyses accounting for the differential time of initiation of state policies demonstrated similar results. CONCLUSIONS:Comprehensive tobacco dependence treatment coverage had no differential effect on smoking cessation among ever smokers with or without substance use disorder, and its expansion was not associated with changes in smoking behaviors for Medicaid beneficiaries with substance use disorder. Other multilevel interventions may be needed to impact smoking cessation rates, such as awareness and education campaigns of expanded tobacco dependence treatment coverage benefits, and interventions that reduce social and structural barriers to treatment.

Stepped wedge cluster randomized trials (SWCRTs) often face challenges related to potential confounding by time. Traditional frequentist methods may not provide adequate coverage of an intervention's true effect using confidence intervals, whereas Bayesian approaches show potential for better coverage of intervention effects. However, Bayesian methods remain underexplored in the context of SWCRTs. To bridge this gap, we propose two innovative Bayesian hierarchical penalized spline models. Our first model accommodates large numbers of clusters and time periods, focusing on immediate intervention effects. To evaluate this approach, we compared this model to traditional frequentist methods. We then extend our approach to account for time-varying intervention effects, conducting a comprehensive comparison with an existing Bayesian monotone effect curve model and alternative frequentist methods. The proposed models were applied in the Primary Palliative Care for Emergency Medicine stepped wedge trial to evaluate the effectiveness of the intervention. Through extensive simulations and real-world application, we demonstrate the robustness of our proposed Bayesian models. Notably, the Bayesian immediate effect model consistently achieves the nominal coverage probability, providing more reliable interval estimations while maintaining high estimation accuracy. Furthermore, our proposed Bayesian time-varying effect model represents a significant advancement over the existing Bayesian monotone effect curve model, offering improved accuracy and reliability in estimation while also achieving higher coverage probability than alternative frequentist methods. To the best of our knowledge, this marks the first development of Bayesian hierarchical spline modeling for SWCRTs. Our proposed models offer promising tools for researchers and practitioners, enabling more precise evaluation of intervention impacts.

Prenatal exposure to phthalates might influence the development of childhood obesity. Most previous studies used body mass index (BMI) at a specific age instead of BMI development, which might be a better indicator of later health. We aimed to assess the association of prenatal phthalate exposure with longitudinal BMI development from infancy to adolescence. Among 1,379 mother-child pairs from a population-based cohort study, phthalate concentrations were measured in maternal spot urine samples, collected during first, second and third trimester. We estimated age- and sex-adjusted BMI standard deviation scores (SDS) at 6 months and 1, 2, 3, 4, 6, 10 and 13 years. We examined the associations of maternal phthalate urine concentrations during pregnancy with repeated measures of BMI using linear mixed effects models. An interquartile range higher natural log-transformed maternal first trimester high-molecular weight phthalate and di-2-ethylhexylphthalate (DEHP) urine concentrations were associated with a -0.10 (95% confidence interval (CI) -0.15 to -0.04), and -0.09 (95% CI -0.15 to -0.04) lower age- and sex-adjusted BMI at 6 months. An interquartile range higher natural log-transformed maternal first trimester phthalic acid and low-molecular weight phthalate urine concentrations were associated with a 0.11 (95% CI 0.03 to 0.18) and 0.13 (95% CI 0.04 to 0.21) higher age- and sex-adjusted BMI at 13 years old. No significant associations were observed for maternal second and third trimester phthalate urine concentrations with BMI. Thus, higher maternal phthalate metabolites urine concentrations appear to be related to lower BMI at early ages but with higher BMI at later ages.

Reproductive aging, including timing of menarche and menopause, influences long-term morbidity and mortality in women, yet underlying biological mechanisms remain poorly understood. Using DNA methylation-based biomarkers, we assessed associations of age at menarche (N = 1,033) and menopause (N = 658) with epigenetic aging in a nationally representative sample of women ≥ 50 years. Later age at menopause was associated with lower GrimAge epigenetic age deviation (

Characterizing the chemical composition of semen can provide valuable insights into the exposome and environmental factors that directly affect seminal and overall health. In this study, we compared molecular profiles of 45 donated semen samples from general population New York City participants and examined the correlation between the chemical profiles in semen and fertility parameters, i.e., sperm concentration, sperm motility, sperm morphology, and semen volume. Samples were prepared using a protein precipitation procedure and analyzed using liquid chromatography (LC) coupled to high-resolution mass spectrometry (HRMS). Non-targeted analysis (NTA) revealed 18 chemicals not previously reported in human exposome studies, with 3-hydroxyoctanedioic acid, a cosmetic additive, emerging as a plausible candidate found to be at higher levels in cases vs controls (p < 0.01) and associated with adverse sperm motility and morphology. Four level 1 identified compounds were found to have associations with semen health parameters; dibutyl phthalate and 2-aminophenol negatively impacted motility, 4-nitrophenol was associated with low morphology, while palmitic acid was found to be associated with both low morphology and low volume. This study aims to utilize NTA to understand the association of contaminants of emerging concern (CECs) along with a full chemical profile to find trends separating poor and normal semen health parameters from each other chemically. Our results suggest that the collective effects of many CECs could adversely affect semen quality.