Faculty Bibliography

BACKGROUND/UNASSIGNED:We investigated whether the associations of state medical and recreational cannabis legalization (MCL, RCL enactment) with increasing prevalence of Cannabis Use Disorder (CUD) differed among patients in the United States (US) Veterans Health Administration (VHA) who did or did not have common psychiatric disorders. METHODS/UNASSIGNED:Electronic medical record data (2005-2022) were analyzed on patients aged 18-75 with ≥1 VHA primary care, emergency department, or mental health visit and no hospice/palliative care within a given year (sample sizes ranging from 3,234,382 in 2005 to 4,436,883 in 2022). Patients were predominantly male (>80%) and non-Hispanic White (>60%). Utilizing all 18 years of data, CUD prevalence increases attributable to MCL or RCL enactment were estimated among patients with affective, anxiety, psychotic-spectrum disorders, and Any Psychiatric Disorder (APD) using staggered difference-in-difference (DiD) models and 99% Confidence Intervals (CIs), testing differences between patient groups with and without psychiatric disorders via non-overlap in the 99% CIs of their DiD estimates. FINDINGS/UNASSIGNED:Among APD-negative patients, CUD prevalence was <1.0% in all years, while among APD-positive patients, CUD prevalence increased from 3.26% in 2005 to 5.68% in 2022 in no-CL states, from 3.51% to 6.35% in MCL-only states, and from 3.41% to 6.35% in MCL/RCL states. Among the APD group, DiD estimates of MCL-only and MCL/RCL effects were modest-sized, but the lower bound of the 99% CI for the DiD estimate for MCL-only and MCL/RCL effects was larger than the upper bound of the 99% CI among the no-APD group, indicating significantly stronger MCL-only and MCL/RCL effects among patients with APD. Results were similar for MCL-only and MCL/RCL effects among disorder-specific groups (depression, post-traumatic stress disorder [PTSD], anxiety or bipolar disorders) and for MCL/RCL effects among patients with psychotic-spectrum disorders. INTERPRETATION/UNASSIGNED:Cannabis legalization contributed to greater CUD prevalence increases among patients with psychiatric disorders. However, modest-sized DiD estimates suggested operation of other factors, e.g., commercialization, changing attitudes, expectancies. As cannabis legalization widens, recognizing and treating CUD in patients with psychiatric disorders becomes increasingly important. FUNDING/UNASSIGNED:This study was supported by National Institute on Drug Abuse grant R01DA048860, the New York State Psychiatric Institute, and the VA Centers of Excellence in Substance Addiction Treatment and Education.

INTRODUCTION/BACKGROUND:E-cigarettes (ECs) and heated tobacco products (HTPs) are recent arrivals to the nicotine product market in the Middle East, which are rapidly growing in popularity in the region. There is a lack of surveillance data at the country-level on use of these products and factors associated with their use. METHODS:This study analyzed a subset of data from the UAE Healthy Future Study, a population-based cohort study of the Emirati population, to determine the factors associated with EC and HTP use among a sample of Emirati adults (≥ 18 years). The baseline assessment and supplementary questionnaires, conducted from 2016 to 2023, included data on combustible tobacco use, EC, and HTP use and sociodemographic characteristics. RESULTS:Of the 2,041 individuals who answered questions on EC use, 32% reported ever using them. Of 521 people providing data on HTP, 30% reported ever using them. After adjusting for age, sex, education, perceived harms and perceived addictiveness of EC, current EC use was associated with baseline combustible tobacco smoking (aOR = 27.63, 95% confidence interval [CI] 14.39, 53.06), users of a younger age (aOR=0.91, 95%CI 0.88, 0.95), and users of male sex (OR = 2.15, 95% CI 1.21, 3.81). Current HTP use was less common, but was also associated with baseline combustible tobacco use. CONCLUSIONS:Use of ECs and HTPs was more common among those who used combustible tobacco. Future research should examine use trajectories among those who do and do not smoke, as well as uptake of these products among youth. IMPLICATIONS/CONCLUSIONS:Non-combustible nicotine products are growing in popularity in the Middle East Region. Our study found that EC and HTP use is associated with baseline combustible tobacco use and that concurrent users may use them to cut down on their combustible tobacco use. Continued comprehensive population-based monitoring of all tobacco and nicotine products, especially EC and HTP use, will provide current data to aid in appropriately informing public health and harm reduction messages and programming.

Colorectal cancer (CRC) screening uptake in the Veterans Health Administration (VA) has been reported to be higher than the US general population, but CRC remains a prevalent cancer within the VA system. To examine CRC predictors and the extent to which the conventional definition of up-to-date screening applies to the population, we conducted a case-control study using VA data from 2012 to 2018. We classified patients into 5 categories: up-to-date or not up-to-date average-risk patients aged 50 to 75 (Categories 1 and 2), up-to-date or not up-to-date average-risk patients aged <50 or >75 (Categories 3 and 4), and high-risk patients (Category 5). Each CRC case was matched by age, sex, and facility with 4 controls. We performed multivariable conditional logistic regression, adjusting for race and ethnicity, diabetes, obesity, and alcohol use. Among 3714 CRC cases identified, Category 4 (odds ratio [OR] 1.40, 95% CI 1.11-1.78) and Category 5 (OR 6.23, 95% CI 5.06-7.66) patients had a higher risk of CRC compared to Category 1 patients. Compared with White patients, Black patients had a higher risk (OR 1.54, 95% CI 1.37-1.73). Diabetes (OR 1.65, 95% CI 1.51-1.81) and alcohol use disorder (OR 1.53, 95% CI 1.35-1.73) were also associated with CRC. Most CRC cases occurred in individuals aged 50 to 75, but 12.5% occurred in persons who were outside of this age range or had high-risk personal or family history. The conventional measure of CRC screening, focused on average-risk individuals aged 50 to 75, does not reflect screening status in an important minority of CRC patients.

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.

IMPORTANCE/UNASSIGNED:In the context of the US opioid crisis, factors associated with the prevalence of opioid use disorder (OUD) must be identified to aid prevention and treatment. State medical cannabis laws (MCL) and recreational cannabis laws (RCL) are potential factors associated with OUD prevalence. OBJECTIVE/UNASSIGNED:To examine changes in OUD prevalence associated with MCL and RCL enactment among veterans treated at the Veterans Health Administration (VHA) and whether associations differed by age or chronic pain. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Using VHA electronic health records from January 2005 to December 2022, adjusted yearly prevalences of OUD were calculated, controlling for sociodemographic characteristics, receipt of prescription opioids, other substance use disorders, and time-varying state covariates. Staggered-adoption difference-in-difference analyses were used for estimates and 95% CIs for the relationship between MCL and RCL enactment and OUD prevalence. The study included VHA patients aged 18 to 75 years. The data were analyzed in December 2023. MAIN OUTCOME AND MEASURES/UNASSIGNED:International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) OUD diagnoses. RESULTS/UNASSIGNED:From 2005 to 2022, most patients were male (86.7.%-95.0%) and non-Hispanic White (70.3%-78.7%); the yearly mean age was 61.9 to 63.6 years (approximately 3.2 to 4.5 million patients per year). During the study period, OUD decreased from 1.12% to 1.06% in states without cannabis laws, increased from 1.13% to 1.19% in states that enacted MCL, and remained stable in states that also enacted RCL. OUD prevalence increased significantly by 0.06% (95% CI, 0.05%-0.06%) following MCL enactment and 0.07% (95% CI, 0.06%-0.08%) after RCL enactment. In patients aged 35 to 64 years and 65 to 75 years, MCL and RCL enactment was associated with increased OUD, with the greatest increase after RCL enactment among older adults (0.12%; 95% CI, 0.11%-0.13%). Patients with chronic pain had even larger increases in OUD following MCL (0.08%; 95% CI, 0.07%-0.09%) and RCL enactment (0.13%; 95% CI, 0.12%-0.15%). Consistent with overall findings, the largest increases in OUD occurred among patients with chronic pain aged 35 to 64 years following the enactment of MCL and RCL (0.09%; 95% CI, 0.07%-0.11%) and adults aged 65 to 75 years following RCL enactment (0.23%; 95% CI, 0.21%-0.25%). CONCLUSIONS AND RELEVANCE/UNASSIGNED:The results of this cohort study suggest that MCL and RCL enactment was associated with greater OUD prevalence in VHA patients over time, with the greatest increases among middle-aged and older patients and those with chronic pain. The findings did not support state cannabis legalization as a means of reducing the burden of OUD during the ongoing opioid epidemic.

BACKGROUND:E-cigarettes may serve as a safer alternative to combustible cigarettes and may be more effective than currently available nicotine replacement therapy (NRT). Little is known about the perceptions of using e-cigarettes as part of a smoking treatment program. The objective of this study was to gain insight into patient-level factors to consider when developing smoking treatment programs that incorporate e-cigarettes. METHODS:Qualitative analysis of in-depth interviews with 14 participants enrolled in the e-cigarette treatment arm of a tobacco treatment intervention pilot randomized trial comparing the impact of behavioral counseling paired with e-cigarettes or NRT on smoking outcomes. Participants were prompted to share their experiences with the products and the study overall. Transcripts were coded according to the principles of framework analysis for applied research. Codes were organized into themes using the principles of grounded theory. RESULTS:Themes suggest that while there is an eagerness to try e-cigarettes as a new tool for smoking cessation, there is apprehension regarding what it means to "quit" if switching to e-cigarettes. Reflecting on the transitional purpose of e-cigarettes and potential health concerns associated with their use, many participants differentiated between the short-term goal to quit combustible cigarettes and the long-term goal to quit e-cigarettes. CONCLUSIONS:Including e-cigarettes as an option in smoking treatment regimens may be an opportunity to re-engage people who smoke who have tried and failed to quit with other forms of treatment. Participants found it challenging to establish what it means to quit cigarettes with e-cigarettes due to addiction and other health concerns. Clear guidelines are needed for integrating e-cigarettes into smoking cessation programs. TRIAL REGISTRATIONS/BACKGROUND:ClinicalTrials.gov Identifier: NCT04465318.

INTRODUCTION/BACKGROUND:Spending on tobacco products may exacerbate health-related financial hardship experienced by low-income older adults. This study examined tobacco spending and the relationship between tobacco use and non-tobacco spending among low-income older adults in the U.S. METHODS:Using pooled 2021-2023 Consumer Expenditure Survey data, 1,983 single-person households (aged ≥65, with income <200% of the federal poverty level) were analyzed. Descriptive statistics summarized quarterly expenditures and budget shares for tobacco and non-tobacco goods. Generalized linear and fractional logit models compared non-tobacco expenditures and budget shares between people who use (versus do not use) tobacco, controlling for sociodemographic covariates. RESULTS:Overall, 10.6% of respondents reported tobacco spending. Respondents who used tobacco spent an average of $305.0 (SD = 303.4) per quarter on tobacco (7.8% of their total budget). Compared to respondents that did not use tobacco, respondents that used tobacco spent significantly more per quarter on alcohol ($54.8 vs. $22.0, P<0.001) and significantly less per quarter on food ($783.9 vs. $837.0, P<0.01), housing ($1,754.5 vs. $2,189.7, P<0.05), health care ($564.0 vs. $720.2, P<0.05), and clothing ($47.8 vs. $64.7, P<0.05). Similarly, respondents that used tobacco spent a significantly greater portion of their budget on alcohol (1.3% vs. 0.4%, P<0.001) and a significantly lower portion on food (19.6% vs. 19.7%, P<0.05), housing (38.8% vs. 43.4%, P<0.01), health care (14.7% vs. 16.8%, P<0.01), and other expenses (2.0% vs. 3.9%, P<0.01). CONCLUSIONS:Tobacco spending and its complementary alcohol spending may reduce low-income older adults' expenditures on food, housing and health care.

PURPOSE/OBJECTIVE:This study evaluated how frequently patients with early onset colorectal cancer received fertility counseling and whether patient characteristics affected the likelihood of receiving such counseling. METHODS:We conducted a single-center retrospective review of all new patients seen by medical oncology for colorectal cancer who were age 55 years or younger for men and 50 years or younger for women. Associations between patient demographics and clinical characteristics with receipt of fertility counseling were explored using univariate analyses and multivariable logistical regression analyses. RESULTS:A total of 194 patients were included, of whom 15.5% received fertility counseling. Using multivariate analysis, we found that age < 40 (OR 15.587, p < 0.0001, 95% CI 4.841-50.191) and female sex (OR 3.979, p = 0.0292, 95% CI 1.150-13.770) were correlated with increased likelihood of fertility counseling. Patients living in areas of higher household income were more likely to receive fertility counseling, with a statistically significant difference between the 3rd and 1st quartiles of income (p = 0.0369, 95% CI 1.161-115.940). CONCLUSION/CONCLUSIONS:A majority of patients with EOCRC did not receive fertility counseling despite the known toxicities of CRC treatment modalities on fertility. Older age, male sex, and residence in areas of lower income were associated with decreased likelihood of receiving fertility counseling.

PURPOSE/OBJECTIVE:The Veterans Affairs Health Administration (VA) has experience using telehealth (TH) to deliver care to 10 million enrolled Veterans for many clinical care needs. The VA National TeleOncology Service (NTO) was established in 2020 to provide specialized cancer services regardless of geography. We sought to compare quality in TH-delivered cancer services with traditional (TR) in-person VA care. METHODS:Using electronic health record data, we identified patients with an International Classification of Diseases-10 diagnostic code for an incident malignancy from December 2016 to March 2021 at early adopting sites providing both TR and TH care. We classified patients as TH users if they received TH services at least once for their cancer care. We gathered demographic, clinical, and treatment characteristics to calculate 25 Quality Oncology Practice Initiative (QOPI) measures in the symptoms and toxicity management (two), end of life and palliative care (10), and core measure domains (13). We report disease-specific measures, QOPI measures descriptively, and performed chi-square tests to compare TH and TR. RESULTS:= .002). TH and TR rates were similar for the other QOPI measures. CONCLUSION/CONCLUSIONS:VA is a leader in TH cancer care because of both its volume and quality. VA-provided TH cancer care quality is similar to or better than that of TR in-person care. NTO specifically, and VA teleoncology broadly, provides another option to Veterans for cancer care.

INTRODUCTION/BACKGROUND:Black sexually minoritized men and gender-expansive people (SGM), including transgender women, have higher levels of alcohol use and experience greater negative consequences from alcohol consumption than the general population. We investigated the role of multilevel factors contributing to alcohol use among these groups. METHODS:We analyzed data collected from HIV-negative participants in the Neighborhoods and Network (N2) cohort study in Chicago, IL (N = 138). Participants completed a social network inventory (November 2018-April 2019) and reported alcohol use (frequency, quantity, and frequency of binge drinking) during a quantitative assessment. We used stepwise negative binomial regression to identify associations with social network and individual-level alcohol use while controlling for sociodemographic variables. RESULTS: = 2.7), of whom 93% were Black and 78% were friends/family. Among the confidants, 30% drank alcohol at least several times per week. Identifying as Latine (RR = 2.21; 95% CI: 1.44-3.10), having a higher Generalized Anxiety Disorder-7 score (RR = 1.03; 95%CI: 1.00-1.05), living with a problem drinker during one's childhood (RR = 1.80; 95% CI: 1.39-2.34), and having a greater proportion of regular drinkers in one's social network (RR = 1.49; 95% CI: 1.02-2.17) were positively associated with alcohol use. CONCLUSION/CONCLUSIONS:Black SGM exposed to social network alcohol use during childhood and adulthood reported increased alcohol use. Interventions targeting Black SGM should address social norms around alcohol, intersectional discrimination, and mental health.