Faculty Bibliography

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:Forms of combustible tobacco, such as shisha and pipe tobacco, are popular in the Middle East. Poly use of combustible tobacco products increases exposure to the harmful toxicants in them. Little is known about patterns of tobacco use behaviors in Middle Eastern countries and the potential harms due to particular types and concurrent versus single-use. METHODS:We analyzed data on tobacco use from 7,535 Emirati adults as part of the UAE Healthy Future Study, a longitudinal cohort study in the United Arab Emirates. We examined associations between single, dual, or poly combustible tobacco use and sociodemographic and clinical factors, including markers of cardiovascular disease (CVD). We also examined associations between the type of tobacco used and markers of CVD. RESULTS:Age-adjusted prevalence of combustible tobacco use was 34%. Single, dual, and poly use were 47%, 35%, and 18%, respectively. Parental tobacco use was associated with any kind of combustible tobacco use, and was strongly associated with poly use (RRRp=4.4, 95% CI=1.2, 16.8). Those who used one or more combustible tobacco products had higher levels of some CVD markers, notably HDL and Apolipoprotein A. Use of any type of tobacco was associated with increased risk for markers of CVD. CONCLUSIONS:Any amount of tobacco used was associated with differences in CVD markers. Associations were strongest for poly tobacco users. Future studies are needed to understand relationships between single, dual and poly combustible tobacco use, different combustible tobacco types, and disease risk. IMPLICATIONS/CONCLUSIONS:All forms of tobacco were associated with markers of CVD, signaling that there is no safer form of combustible tobacco. The study is one of the largest to characterize tobacco use behaviors in a Middle Eastern population, and should provide an important benchmark for further research on different, and sometimes co-occurring, forms of tobacco use.

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.

BACKGROUND/UNASSIGNED:Ecological momentary assessment (EMA) provides insight into the effectiveness and feasibility of smoking-related interventions. OBJECTIVE/UNASSIGNED:The objective of this paper was to assess adherence to an EMA protocol and compare EMA-derived responses with measures collected through multiple surveys. METHODS/UNASSIGNED:A subanalysis was conducted using data from a 12-week, open-label, and 2-arm pilot randomized clinical trial among adult smokers with chronic obstructive pulmonary disease, coronary artery disease, peripheral vascular disease, or asthma in the last 12 months (n=109). Participants were randomized to either electronic cigarette (EC) or nicotine replacement therapy (NRT) treatment arms. We compared EMA data collected through automated SMS text message prompts sent to participants 4 times daily for 12 weeks, including cigarettes smoked per day (CPD), craving, and satisfaction, to survey data collected at 12 weeks. Convergent validity between survey- and EMA-reported measures was evaluated using Pearson correlation and paired t tests. CPD was modeled using negative binomial regression. Relative rates (RRs) of reaching at least 50%, 75%, and 100% CPD reduction between two arms were calculated using both EMA and survey data. RESULTS/UNASSIGNED:The majority of participants were non-Hispanic White (63/109, 58%) and female (60/109, 55%), and had a median age of 60 (IQR 54-65) years. Among the 109 participants, 59.6% (n=65) were consistently adherent to the EMA protocol over the 12-week period. Median weekly EMA response rate remained high over the 12-week study period even though a modest decline was observed (week 1, 97.8% and week 12, 89.4%). The mean CPD declined significantly (week 1, mean 14.2, SD 9.9 and week 12, mean 4.6, SD 6.7; P<.001). EMA-derived and survey-based CPD measurements were positively correlated (r=0.73, 95% CI 0.6-0.82) as were measures of craving (r=0.38, 95% CI 0.17-0.56). No significant paired difference in CPD was observed between EMA measurements and surveys. A significant effect of time on CPD EMA data (incidence rate ratio [IRR] 1-week change 0.93; P<.01) and survey data was found (IRR 12-week change 0.36; P<.01). However, the treatment effect was not significant, which aligned with the RR results. An increase in the EC consumption was observed over time in the EC arm, with 12.1% (7/58) fully switched to EC (defined as CPD=0 and EC use>0) and 20.7% (12/58) mostly switched (defined as a reduction in CPD>75% and EC use>0) in week 12. CONCLUSIONS/UNASSIGNED:EMA is a suitable method to collect recall-based smoking-related data. Though results from mixed effect modeling and RR comparisons were similar using EMA or survey data, EMA provides unique advantages, namely greater granularity in the time and the capability to detect switching patterns in near real time. These findings provide the feasibility of using EMA in developing smoking cessation interventions in future tobacco harm reduction research.

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.