Faculty Bibliography

BACKGROUND:Unmet structural and social needs create barriers to breast cancer screening and treatment. The impact of the intersection of these barriers on screening participation and timeliness of breast cancer care remains poorly understood. METHODS:People identifying as women participating in a breast cancer navigation program for screening or treatment were included. Patient navigators administered survey questions that addressed potential barriers to care access using the Health Leads Screening Toolkit. Odds ratios were calculated for unadjusted bivariate associations, and Cox proportional hazards were used to examine the relationship between barriers and time to treatment. RESULTS:A total of 2804 women (mean age, 53 years) enrolled in navigation for screening or cancer treatment participated in the survey about barriers to care. Of those, 435 (16%) reported unstable housing, 610 (23%) reported poor health literacy, and 164 (6%) reported feeling depressed. Limited transportation was significantly associated with unstable housing (odds ratio [OR] = 26.5, 95% confidence interval [CI] 19.9-35.4, p < 0.00001), poor health literacy (OR = 11.5, 95% CI 9.3-14.2, p < 0.0001), and depression (OR = 2.9, 95% CI 2.1-4.0, p < 0.00001). Individual barriers were not associated with a longer time to treatment, but an increasing number of barriers was associated with a longer time to treatment (Coef = 0.9, p < 0.05). CONCLUSIONS:Compounding structural and social barriers limit participation in breast cancer screening, and women with increasing unmet social needs face delays in treatment for breast cancer. Navigation programs may help women overcome barriers to care; however, understanding and targeting the intersectionality of unmet needs is essential for targeted interventions through breast cancer care navigation programs to be effective.

[This corrects the article DOI: 10.1016/j.lana.2024.100895.].

BACKGROUND:Evidence suggests prenatal phthalate exposure adversely affects children's behavior. However, epidemiological studies on alternative plasticizers remain scarce. This study investigated associations of gestational exposure to phthalates and alternative plasticizers with internalizing and externalizing behaviors in children aged 1.5-5 years. METHODS:The study included 2617 mother-child dyads from 13 Environmental influences on Child Health Outcomes (ECHO) cohorts. Maternal urine samples, primarily collected mid- to late-pregnancy, were analyzed for 27 phthalate metabolites and 6 alternative plasticizer metabolites. Based on detection frequency, metabolite concentrations were modeled either continuously or categorically (Group 1: non-detectable, 2: lower detectable, 3: higher detectable). Covariate-adjusted associations between individual metabolite concentrations and internalizing and externalizing T-scores on the Child Behavior Checklist for Ages 1½-5 were estimated using linear mixed-effects models. Effect modification by child sex was also examined. RESULTS:for MHxP Group 3 = 1.23, 95% CI: 0.35, 2.12). We observed no robust associations between phthalate metabolites and internalizing T-scores, nor between cyclohexane-1,2-dicarboxylic acid mono carboxyisooctyl ester (DINCH) metabolites and any behavioral outcomes. Child sex modified associations between several metabolites and externalizing T-scores, although the direction of effect varied by metabolite. CONCLUSION/CONCLUSIONS:This large-scale study suggests that prenatal exposure to several phthalates, but not to the alternative plasticizer DINCH, may be associated with a small-to-modest increase in externalizing behaviors in young children.

INTRODUCTION/BACKGROUND:In 2016, California legalized cannabis for adult recreational use; after recreational sales began in 2018, it became the largest retail market worldwide. This study profiled specific risks and prevention opportunities across age groups and examined changes in medically significant child cannabis exposures before and after legalization. METHODS:Researchers conducted analyses, including interrupted time-series, to examine 1695 California Poison Control System (CPCS) reports of cannabis exposure in children 0-17 years of age, from 2010-2020. Analyses were confined to moderate and severe exposures, identified by CPCS toxicologists as requiring medical attention. RESULTS:Monthly rates of moderate/severe cannabis exposure per million children increased following legalization (β=0.06, CI [0.05, 0.08]), especially in children under 5. Fourteen percent required critical care admission. Exposures were primarily unintentional in younger children (87.7-99.2%) and intentional in adolescents (85.5%). Across all ages, most exposures occurred in the home (94.0%) and involved edible products (83.5%). An analysis of packaging on edible brands frequently cited in health records found that most could be easily mistaken for popular candies and snack foods. CONCLUSIONS:Following cannabis legalization in California, reports of child cannabis exposures requiring medical attention increased significantly. Most reported cannabis exposures occurred in the home through the ingestion of edible products, often packaged to look like popular candy and snack food brands. To prevent these harms, cannabis legalization should be accompanied by robust marketing and packaging regulations (e.g., plain labels, larger warning labels). Secondary prevention should focus on educating parents and caregivers on safe cannabis storage in the home.

INTRODUCTION/BACKGROUND:Secondhand exposure to e-cigarettes represents a potential population health risk given e-cigarette's prevalence and their unknown health effects, particularly among vulnerable populations such as pregnant people. OBJECTIVES/OBJECTIVE:To explore metabolomic differences between pregnant people exposed vs. not exposed to secondhand e-cigarette aeresols, to identify possible biomarkers of exposure and metabolic pathways perturbed by e-cigarettes. METHODS:Exposed participants (n = 19) from the NYU Children's Health and Environment Study were matched to unexposed participants (n = 57) at a 1:3 ratio on age, hospital of recruitment, and race/ethnicity. Early-pregnancy urine samples were analyzed via an untargeted metabolomics platform using reverse-phase liquid chromatography mass-spectrometry. Feature-exposure associations were estimated using conditional logistic regression to adjust for matching factors. A sensitivity analysis was conducted adjusting for secondhand tobacco exposure. RESULTS:Among features enriched in the exposed group were flavonoids and flavor-related compounds including homoeriodictyol and naringenin-7-O-beta-D-glucuronide, 3-acetomidocoumarin, and guaiacol pentosylglucoside; synthetic drugs such as the endocannabinoid AM1172 and the stimulant alpha-PVP; and metabolites associated with lipid metabolism, including 2,4-undecadiene-8,10-diynoic acid isobutylamide, palmitamide, glycerol trihexanoate, and tetradecyl phosphonate. Among features negatively associated with exposure were xanthines. CONCLUSION/CONCLUSIONS:This study is the first untargeted metabolomics study investigating metabolomic markers of e-cigarette exposure, including secondhand exposure, in a pregnant cohort. Despite this study's small size and exploratory nature, the results of this work suggest that flavoring components could be biomarkers for e-cigarette exposure, and that co-exposure to e-cigarettes and other drugs may be prevalent.

INTRODUCTION/BACKGROUND:Esophageal adenocarcinoma (EAC) develops through histopathological stages, including Barrett's esophagus (BE). We analyzed the associations between plasma levels of one-carbon metabolism factors and risks of long-segment BE or EAC. METHODS:Plasma levels were measured from an Irish population-based case-control study [Factors INfluencing the Barrett's Adenocarcinoma Relationship (FINBAR) study; 204 long-segment BE cases, 211 EAC cases, and 251 controls]. A "methyl replete score" was derived by assigning a score of 0 (< median) or 1 (> median) to the levels of three dietary methyl donors (methionine, choline, and betaine) and summing across the metabolites. Multinomial logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between EAC or BE and sex-specific quartiles or score using the lowest level as the reference category and adjusted for potential confounders. RESULTS:Highest methionine, betaine, vitamin B6 (PLP), and choline levels were all associated with 62-82% reduced risks of EAC (ptrends <0.001). Conversely, S-adenosylmethionine (SAM), the SAM/S-adenosylhomocysteine (SAH) ratio, total homocysteine (tHcy), and cystathionine were associated with a greater than two-fold increased EAC risk. A higher methyl replete score was associated with reduced EAC risk (OR 0·33; 95%CI: 0·16-0·66). The highest versus lowest plasma methionine levels were borderline statistically significantly associated long-segment BE (OR 0·55; 95%CI: 0·28-1·07), but all other associations were null. CONCLUSIONS:Several biomarkers of one-carbon metabolism are associated with EAC risk, particularly markers of dietary methyl group donors. Future studies to replicate and prospectively evaluate these markers are warranted.

INTRODUCTION/BACKGROUND:Social media is the most prominent source of online food and beverage advertisements (ads) seen by adolescents. Companies target adolescent social media users with ads that feature calorie-dense, nutrient-poor products, and exposure to ads drives poor diet and risk for future diet-related diseases. Black, Hispanic and lower socio-economic status youth are exposed to significantly more ads than White peers. Several state-level policies in the USA have passed restricting youth from accessing social media without parental approval, and some policies have banned advertising to youth. This protocol paper describes a current study that aims to understand the impact of such policies in two states, Louisiana and Texas, as they were among the first to be implemented with racially/ethnically diverse populations. METHODS AND ANALYSIS/METHODS:This study employs a repeated cross-sectional difference-in-difference design in which 700 youth ages 13-17 years are being recruited each year for 5 years (Louisiana n=175, Texas n=175, matched comparisons from other states n=350). Youth screen record their mobile devices for 60 minutes while they browse social media platforms (eg, TikTok, Instagram) or use the internet. They also complete a brief survey about a variety of topics (eg, health behaviours, mental health). Adolescents are compensated for screen recording ($75) and the survey ($25). Study team members are coding recordings for several characteristics, including media platforms used, appearances of food or beverages, and food or beverage type. We will estimate the impact of policies on food and beverage ads seen per hour using Ordinary Least Squares regression models and heterogeneity-robust standard errors clustered at the state level (by year and cumulatively). We will run additional models with interaction terms with income and race/ethnicity, separately, to test the role of the policies on health disparities. ETHICS AND DISSEMINATION/BACKGROUND:Study procedures have been approved by the Institutional Review Board of the NYU Grossman School of Medicine. We will distribute findings in peer-reviewed journals and at local and national conferences. To complement traditional dissemination pathways, we will create infographics to share with relevant community stakeholders. We will also share findings with policymakers in states that have passed or considered similar policies.