Faculty Bibliography

The COVID-19 pandemic has resulted in unparalleled societal disruption with wide ranging effects on individual liberties, the economy, and physical and mental health. While no social strata or population has been spared, the pandemic has posed unique and poorly characterized challenges for individuals with opioid use disorder (OUD). Given the pandemic's broad effects, it is helpful to organize the risks posed to specific populations using theoretical models. These models can guide scientific inquiry, interventions, and public policy. Models also provide a visual image of the interplay of individual-, network-, community-, structural-, and pandemic-level factors that can lead to increased risks of infection and associated morbidity and mortality for individuals and populations. Such models are not unidirectional, in that actions of individuals, networks, communities and structural changes can also affect overall disease incidence and prevalence. In this commentary, we describe how the social ecological model (SEM) may be applied to describe the theoretical effects of the COVID-19 pandemic on individuals with opioid use disorder (OUD). This model can provide a necessary framework to systematically guide time-sensitive research and implementation of individual-, community-, and policy-level interventions to mitigate the impact of the COVID-19 pandemic on individuals with OUD.

BACKGROUND/UNASSIGNED:: Those with exposure to abuse, homelessness, and both adverse outcomes constitute a high-risk population for substance use. Addressing abuse and homelessness should be a component of preventing drug risk for screening, treatment, and prevention efforts.

Although racial/ethnic disparities in police contact are well documented, less is known about other dimensions of inequity in policing. Sexual minority groups may face disproportionate police contact. We used data from the P18 Cohort Study (Version 2), a study conducted to measure determinants of inequity in STI/HIV risk among young sexual minority men (YSMM) in New York City, to measure across-time trends, racial/ethnic disparities, and correlates of self-reported stop-and-frisk experience over the cohort follow-up (2014-2019). Over the study period, 43% reported stop-and-frisk with higher levels reported among Black (47%) and Hispanic/Latinx (45%) than White (38%) participants. Stop-and-frisk levels declined over follow-up for each racial/ethnic group. The per capita rates among P18 participants calculated based on self-reported stop-and-frisk were much higher than rates calculated based on New York City Police Department official counts. We stratified respondents' ZIP codes of residence into tertiles of per capita stop rates and observed pronounced disparities in Black versus White stop-and-frisk rates, particularly in neighborhoods with low or moderate levels of stop-and-frisk activity. YSMM facing the greatest economic vulnerability and mental disorder symptoms were most likely to report stop-and-frisk. Among White respondents levels of past year stop-and-frisk were markedly higher among those who reported past 30 day marijuana use (41%) versus those reporting no use (17%) while among Black and Hispanic/Latinx respondents stop-and-frisk levels were comparable among those reporting marijuana use (38%) versus those reporting no use (31%). These findings suggest inequity in policing is observed not only among racial/ethnic but also sexual minority groups and that racial/ethnic YSMM, who are at the intersection of multiple minority statuses, face disproportionate risk. Because the most socially vulnerable experience disproportionate stop-and-frisk risk, we need to reach YSMM with community resources to promote health and wellbeing as an alternative to targeting this group with stressful and stigmatizing police exposure.

Introduction/UNASSIGNED:Smoking cessation after a cancer diagnosis can significantly improve treatment outcomes and reduce the risk of cancer recurrence and all-cause mortality. Aim/UNASSIGNED:We sought to measure the association between cancer diagnosis and subsequent smoking cessation. Methods/UNASSIGNED:. Our sample was composed of 7,286 adult smokers at the baseline representing an estimated 40.9 million persons. Smoking cessation rates after a diagnosis differed after a tobacco-related cancer (25.9%), a nontobacco-related cancer (8.9%), and no cancer diagnosis (17.9%). After adjustment, diagnosis with a tobacco-related cancer was associated with a higher odds of smoking cessation (OR 1.83, 95% CI 1.00-3.33) compared to no cancer diagnosis. Diagnosis with a nontobacco-related cancer was not significantly linked to smoking cessation (OR 0.52, 95% CI 0.48-1.45). Conclusion/UNASSIGNED:Diagnosis with a tobacco-related cancer is associated with greater odds of subsequent smoking cessation compared to no cancer diagnosis, suggesting that significant behavioral change may occur in this setting.

BACKGROUND:We aimed to investigate the impact of reducing drinking in patients with unhealthy alcohol use on improvement of chronic pain interference, substance use, and psychiatric symptoms. METHODS:We analyzed longitudinal data from 2003 to 2015 in the Veterans Aging Cohort Study, a prospective, multisite observational study of US veterans, by emulating a hypothetical randomized trial (a target trial). Alcohol use was assessed using the AUDIT questionnaire, and outcome conditions were assessed via validated survey items. Individuals were followed from the first time their AUDIT score was ≥ 8 (baseline), a threshold consistent with unhealthy alcohol use. We compared individuals who reduced drinking (AUDIT < 8) at the next follow-up visit with individuals who did not (AUDIT ≥ 8). We fit separate logistic regression models to estimate odds ratios for improvement of each condition 2 years postbaseline among individuals who had that condition at baseline: moderate or severe pain interference symptoms, tobacco smoking, cannabis use, cocaine use, depressive symptoms, and anxiety symptoms. Inverse probability weighting was used to account for potential selection bias and confounding. RESULTS:Adjusted 2-year odds ratios (95% confidence intervals) for associations between reducing drinking and improvement or resolution of each condition were as follows: 1.49 (0.91, 2.42) for pain interference symptoms, 1.57 (0.93, 2.63) for tobacco smoking, 1.65 (0.92, 2.95) for cannabis use, 1.83 (1.03, 3.27) for cocaine use, 1.11 (0.64, 1.92) for depressive symptoms, and 1.33 (0.80, 2.22) for anxiety symptoms. CONCLUSIONS:We found some evidence for improvement of pain interference symptoms and substance use after reducing drinking among US veterans with unhealthy alcohol use, but confidence intervals were wide.

BACKGROUND:Sexually transmitted infections (STIs) are important public health concerns among black men who have sex with men only (BMSMO), as well as those who have sex with both men and women (BMSMW). Sexually transmitted infections also increase risk of acquiring and HIV, which is also a critical concern. Compared with BMSMO, research shows that BMSMW experience elevated levels of HIV/STI vulnerability factors occurring at the intrapersonal, interpersonal, and social/structural levels. These factors may work independently, increasing one's risk of engaging in high-risk sexual behaviors, but often work in a synergistic and reinforcing manner. The synergism and reinforcement of any combination of these factors are known as a syndemic, which increases HIV/STI risk. METHODS:Data from the HIV Prevention Trials Network (HPTN) 061 study (n = 799) was used to conduct a latent profile analysis to identify unique combinations of risk factors that may form a syndemic and that may vary between BMSMO and BMSMW. We hypothesized that the convergence of syndemic factors would differ between groups and predict sexual risk and subsequent incident STI. RESULTS:For BMSMO who had a high sexual risk profile, the syndemic factors characterizing this group included perceived racism, incarceration, intimate partner violence, depression, and binge drinking. For BMSMW with a high sexual risk profile, the syndemic factors that characterized this group were incarceration, depression, and binge drinking. CONCLUSIONS:The current analysis highlights syndemic profiles that differentiated BMSMO and BMSMW from one another and supports the need for tailored interventions that address specific syndemic factors for both subpopulations of black men who have sex with men.

INTRODUCTION/BACKGROUND:Perceived stress is linked to poor sexual and reproductive health, but its relationship with sexually transmitted infections (STIs) is less clear. The elevated burden of stress and STI among Black women suggests a need to examine racial differences in the associations on additive and multiplicative scales. METHODS:Using data from Black and White female participants from wave IV of the National Longitudinal Study of Adolescent to Adult Health (n = 4744), we examined the association of high stress (scores ≥6 on the Perceived Stress Scale-4) with self-reported past-year chlamydia diagnosis, combined curable STI, and lifetime pelvic inflammatory disease using modified Poisson regression with robust variance to estimate prevalence ratios and prevalence differences. Models included a race-stress product-interaction term and adjusted for sociodemographic variables, prior trauma and stressors, and mental health factors. RESULTS:In unadjusted analyses, stress was associated with STI among Black and White women. Adjusted associations were attenuated among White women; among Black women, stress remained associated with chlamydia (adjusted prevalence ratio, 2.22; 95% confidence interval, 1.30-3.79) and curable STI (adjusted prevalence ratio, 1.59; 95% confidence interval, 1.05-2.40), corresponding to approximately 5 excess cases of each. Among White women, poverty and personality traits were the strongest confounders; among Black women, poverty, trauma, and neurotic personality traits were the strongest confounders for chlamydia, although no factors seemed to confound the association with curable STI. CONCLUSIONS:Stress is independently linked to STI, particularly among Black women. Additional research with longitudinal data is needed to understand the role of stress on STI and address a significant health disparity.

BACKGROUND AND AIMS/OBJECTIVE:While substance use can lead to incarceration, the disruptive effects of incarceration may lead to, or increase psychosocial vulnerability and substance use. Using causal inference methods, we measured longitudinal associations between incarceration and post-release substance use among Black men who have sex with men (BMSM), populations facing disproportionate risk of incarceration and substance use. METHODS:Using data from the HIV Prevention Trials Network (HPTN 061) study (N = 1553) we estimated associations between past 6-month incarceration and binge drinking, marijuana use, and stimulant use post release (at 12-month follow-up visit). Adjusted models used inverse probability weighting (IPW) to control for baseline (pre-incarceration) substance use and additional risk factors. RESULTS:There were 1133 participants present at the twelve-month follow-up visit. Participants were predominately non-Hispanic Blacks and unemployed. At baseline, 60.1 % reported a lifetime history of incarceration, 22.9 % were HIV positive and 13.7 % had a history of an STI infection. A total of 43 % reported a history of depression. In adjusted analyses with IPW, recent incarceration was associated with crack-cocaine (adjusted odds ratio (AOR): 1.53, 95 % confidence interval (CI): 1.03, 2.23) and methamphetamine use (AOR: 1.52, 95 % CI: 0.94-2.45). Controlling for pre-incarceration binge drinking, incarceration was associated with post-release binge drinking (AOR: 1.47, 95 % CI: 1.05, 2.04); in fully adjusted models the AOR was 1.14 (95 % CI: 0.81, 1.62). Incarceration was not associated with marijuana use. CONCLUSION/CONCLUSIONS:Findings underscore the need to provide substance use treatment in custody and post-release, and to consider alternatives to incarceration for substance using populations.

BACKGROUND:Exposure to incarceration is associated with increased risk of mortality, and HIV is cited as a leading cause of death. Yet, few studies have examined the association between incarceration and mortality among people with HIV (PWH), specifically whether and how increasing exposure to incarceration increases risk of mortality. We compared mortality by different incarceration exposures and HIV status. METHODS:We conducted a prospective cohort study of participants in the Veterans Aging Cohort Study (VACS) from January 2011 to August 2017 (N=5,367). The primary exposure was incarceration by three measures: 1) any (ever/never); 2) frequency; and 3) cumulative duration. Stratifying by HIV status and controlling for age, race, and gender, we used Cox Proportional Hazard models to estimate adjusted hazard ratios (AHRs) and 95% confidence intervals (CIs). RESULTS:Incarceration was associated with increased risk of mortality compared with those never incarcerated for PWH (AHR 1.37; 95% CI, 1.13-1.66) and those uninfected (AHR 1.24; 95% CI, 0.99-1.54), but the association was only statistically significant among PWH. Increasing frequency of incarceration was associated with higher risk of mortality in both groups: for PWH, AHRs 1.13, 1.45, and 1.64 for 1, 2-5; 6+ times, respectively; for uninfected, AHRs 0.98, 1.35, and 1.70 for 1, 2-5, and 6+ times, respectively. CONCLUSIONS:PWH were at increased risk for mortality following incarceration and repeated exposure to incarceration was associated with mortality in both groups in a dose-response fashion. This increased risk for mortality may be mitigated by improving transitional healthcare, especially HIV care, and reducing incarceration.

Importance/UNASSIGNED:Alcohol screening may be associated with health outcomes that cluster with alcohol use (ie, alcohol-clustering conditions), including depression, anxiety, and use of tobacco, marijuana, and illicit drugs. Objective/UNASSIGNED:To quantify the extent to which alcohol screening provides additional information regarding alcohol-clustering conditions and to compare 2 alcohol use screening tools commonly used for this purpose. Design, Setting, and Participants/UNASSIGNED:This longitudinal cohort study used data from the Veterans Aging Cohort Study. Data were collected at 8 Veterans Health Administration facilities from 2003 through 2012. A total of 7510 participants were enrolled, completed a baseline survey, and were followed up. Veterans with HIV were matched with controls without HIV by age, race, sex, and site of care. Data were analyzed from January 2019 to December 2019. Exposures/UNASSIGNED:The Alcohol Use Disorders Identification Test (AUDIT) and Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) were used to assess alcohol use, with 4 risk groups delineated for each test: score 0 to 7 (reference), score 8 to 15, score 16 to 19, and score 20 to 40 (maximum score) for the full AUDIT and score 0 to 3 (reference), score 4 to 5, score 6 to 7, and score 8 to 12 (maximum score) for the AUDIT-C. Main Outcomes and Measures/UNASSIGNED:Alcohol-clustering conditions, including self-reported symptoms of depression and anxiety and use of tobacco, marijuana, cocaine, other stimulants, opioids, and injection drugs. Results/UNASSIGNED:A total of 6431 US patients (6104 [95%] men; median age during survey years 2003-2004, 50 years [range, 28-86 years; interquartile range, 44-55 years]) receiving care in the Veterans Health Administration completed 1 or more follow-up surveys when the AUDIT was administered and were included in the present analyses. Of the male participants, 4271 (66%) were African American, 1498 (24%) were white, and 590 (9%) were Hispanic. The AUDIT and AUDIT-C scores were associated with each alcohol-clustering condition. In particular, an AUDIT score of 20 or higher (vs <8, the reference) was associated with symptoms of depression (odds ratio [OR], 8.37; 95% CI, 6.20-11.29) and anxiety (OR, 8.98; 95% CI, 6.39-12.60) and with self-reported use of tobacco (OR, 14.64; 95% CI, 8.94-23.98), marijuana (OR, 12.41; 95% CI, 8.61-17.90), crack or cocaine (OR, 39.47; 95% CI, 27.38-56.90), other stimulants (OR, 21.31; 95% CI, 12.73-35.67), and injection drugs (OR, 8.67; 95% CI, 5.32-14.13). An AUDIT score of 20 or higher yielded likelihood ratio (sensitivity / 1 - specificity) values greater than 3.5 for depression, anxiety, crack or cocaine use, and other stimulant use. Associations between AUDIT-C scores and alcohol-clustering conditions were more modest. Conclusions and Relevance/UNASSIGNED:Alcohol screening can inform decisions about further screening and diagnostic assessment for alcohol-clustering conditions, particularly for depression, anxiety, crack or cocaine use, and other stimulant use. Future studies using clinical diagnoses rather than screening tools to assess alcohol-clustering conditions may be warranted.