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The diversity of racial/ethnic representation in the health services and policy research (HSPR) workforce plays a crucial role in addressing the health needs of underserved populations. We assessed changes (between 2012 and 2022) in the racial/ethnic composition of students and faculty from departments of Health Policy & Management (HPM) and Health Education & Behavioral Sciences (HEBS) among the Association of Schools and Programs of Public Health member institutions. We analyzed annual data from over 40 institutions that reported student and faculty data in 2012 and 2022 within each department. Racial/ethnic populations included American Indian/Alaska Native (AI/AN), Asian, Hispanic, Native Hawaiian/Pacific Islander (NH/PI), Black, White, Unknown, and Multiracial. We conducted analyses by department and examined racial/ethnic composition by student status, degree level, faculty rank, and tenure status. We found statistically significant increases in Black assistant professors (HPM and HEBS) and tenured faculty (HPM), Hispanic graduates and tenure-track faculty (HPM), Asian professors (HPM: full and tenured, HEBS: associate and tenured), and Multiracial students and graduates (HPM and HEBS). Statistically significant decreases were observed in White professors (HPM: assistant and full, HEBS: all ranks) and tenure-track faculty (HPM and HEBS), AI/AN associate professors and tenured faculty (HEBS), Hispanic associate professors (HPM), Asian assistant professors (HEBS), and NH/PI students (HPM and HEBS). Our findings highlight the importance of increasing racial/ethnic representation. Strategies to achieve this include facilitating workshops to raise awareness about the structural barriers encountered by Hispanic faculty, providing research support, evaluating promotion processes, establishing more pathway programs, and fostering interdisciplinary academic environments studying AI/AN or NH/PI populations., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

There has been little progress in reducing health care disparities since the 2003 landmark Institute of Medicine's report Unequal Treatment. Despite the higher burden of cardiovascular disease in underrepresented racial and ethnic groups, they have less access to cardiologists and cardiothoracic surgeons, and have higher rates of morbidity and mortality with cardiac surgical interventions. This review summarizes existing literature and highlights disparities in cardiovascular perioperative health care. We propose actionable solutions utilizing multidisciplinary perspectives from cardiology, cardiac surgery, cardiothoracic anesthesiology, critical care, medical ethics, and health disparity experts. Applying a health equity lens to multipronged interventions is necessary to eliminate the disparities in perioperative health care among patients undergoing cardiac surgery., Competing Interests: Funding Support and Author Disclosures Dr Ogunniyi has received institutional research grant support from AstraZeneca, Boehringer Ingelheim, Cardurion Pharmaceuticals, and Pfizer. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Alcohol Use Disorder (AUD) poses a significant health burden on individuals. The burden occurs more frequently in the medically underserved, as well as racial and sexual minority populations. Ameliorating health inequities is vital to improving patient-centered care. Objectives: The objective of this scoping review is to chart the existing evidence on health inequities related to AUD and identify existing knowledge gaps to guide future equity-centered research. Methods: We performed a literature search using the Ovid (Embase) and MEDLINE (PubMed) databases for articles on AUD that were published in the 5-year period spanning from 2017 to 2021 and written in English. The frequencies of each health inequity examined were analyzed, and findings from each included study were summarized. Results: Our sample consisted of 55 studies for analysis. The most common inequity examined was by race/ethnicity followed by sex or gender. The least reported inequities examined were rural under-resourced areas and occupational status. Our findings indicate that significant research gaps exist in education, rural under-resourced populations, and LGBTQ+ communities with AUD. Conclusions: This scoping review highlights the gaps in research on inequities in AUD. To bridge the current gaps, we recommend research on the following: 1) triage screening tools and the use of telemedicine for rural, under-resourced populations; 2) interventions to increase treatment engagement and retention for women; and 3) community-based participatory methodologies for the LGBTQ+ communities.

Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Research on alcohol outlet density consistently shows greater disparities in exposure in disinvested communities. Likewise, structural racism via discriminatory housing practices has created many of the issues that beset contemporary disinvested neighborhoods. Little work, however, has examined the relationship between housing practices and alcohol outlet disparities. The central premise of our work is that these discriminatory and inequitable practices create distinctions in the alcohol environment, and that such disparities have implications for work on alcohol policy. Here we link alcohol outlet density with a spatial database examining redlining, blockbusting, and gentrification in Baltimore, Maryland, and Flint, Michigan (two cities with common experiences of urban disinvestment over the last 50 years). Standard measures are used to account for the impacts of neighborhood racial, socioeconomic, and housing composition in a multilevel model. Our findings highlight that gentrification and redlining are strongly associated with alcohol outlet density, while blockbusting is not. Gentrification and redlining also frequently co-occur in inner-urban areas, while the more suburban phenomenon of blockbusting rarely overlaps with either. These findings further contextualize nascent work on structural racism in housing that illustrates important disparities along the lines of these distinct practices. Future work should consider how legacy impacts of discriminatory housing patterns impact our communities today., (© The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Purpose: To examine the relationship between experiences of discrimination, institutional responses to seminal race events, and depressive symptoms among Black medical students., Method: This study collected data from a convenience sample of Black U.S. medical students via an anonymous electronic questionnaire in August 2020 that was distributed through the Student National Medical Association and Organization of Student Representatives listservs and an author's social media accounts. It included questions on demographics, institutional responses to seminal race events, experiences of discrimination, and symptoms of depression. Path models were used to examine the relationship between experiences of discrimination, institutional responses to seminal race events, and depressive symptoms among Black medical students., Results: Of the 750 students completing the survey, 733 (97.7%) were Black. Experiences of discrimination and a lack of institutional responses to seminal race events were associated with more depressive symptoms (b = 0.19, 95% CI: 0.11, 0.26; P < .001 and b = 0.12, 95% CI: 0.04, 0.20; P = .01). After controlling for gender and clinical diagnosis of depression or anxiety before medical school, there was a relationship between experiences of discrimination and institutional responses to seminal race events such that students who reported more experiences of discrimination were more likely to report that their institution did not respond to seminal race events (b = 0.41, 95% CI: 0.34, 0.48; P < .001). Experiences of discrimination moderated the relationship between institutional responses to seminal race events and depressive symptoms (i.e., the relationship between a lack of institutional responses to seminal race events and depressive symptoms was stronger among students who reported more frequent experiences of discrimination)., Conclusions: Institutions dedicated to supporting Black medical student wellness must be diligent in cultivating a culture intolerant of discrimination and deft in their responses to seminal race events in the larger culture., (Copyright © 2022 by the Association of American Medical Colleges.)

Background: Global efforts are needed to elucidate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the underlying cause of coronavirus disease 2019 (COVID-19), including seroprevalence, risk factors, and long-term sequelae, as well as immune responses after vaccination across populations and the social dimensions of prevention and treatment strategies., Methods: In the United States, the National Cancer Institute in partnership with the National Institute of Allergy and Infectious Diseases, established the SARS-CoV-2 Serological Sciences Network (SeroNet) as the nation's largest coordinated effort to study coronavirus disease 2019. The network comprises multidisciplinary researchers bridging gaps and fostering collaborations among immunologists, epidemiologists, virologists, clinicians and clinical laboratories, social and behavioral scientists, policymakers, data scientists, and community members. In total, 49 institutions form the SeroNet consortium to study individuals with cancer, autoimmune disease, inflammatory bowel diseases, cardiovascular diseases, human immunodeficiency virus, transplant recipients, as well as otherwise healthy pregnant women, children, college students, and high-risk occupational workers (including healthcare workers and first responders)., Results: Several studies focus on underrepresented populations, including ethnic minorities and rural communities. To support integrative data analyses across SeroNet studies, efforts are underway to define common data elements for standardized serology measurements, cellular and molecular assays, self-reported data, treatment, and clinical outcomes., Conclusions: In this paper, we discuss the overarching framework for SeroNet epidemiology studies, critical research questions under investigation, and data accessibility for the worldwide scientific community. Lessons learned will help inform preparedness and responsiveness to future emerging diseases., (© The Author(s) 2022.. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)

Background: Health disparities are pervasive and are linked to economic losses in the United States of up to $135 billion per year. The Flint Center for Health Equity Solutions (FCHES) is a Transdisciplinary Collaborative Center for health disparities research funded by the National Institute of Minority Health and Health Disparities (NIMHD). The purpose of this study was to estimate the economic impact of the 5-year investment in FCHES in Genesee County, Michigan., Methods: The estimated impacts of FCHES were calculated using a U.S.-specific input/output (I/O) model, IMPLAN, from IMPLAN Group, LLC., which provides a software system to access geographic specific data regarding economic sector interactions from a variety of sources. This allowed us to model the cross-sector economic activity that occurred throughout Genesee County, Michigan, as a result of the FCHES investment. The overall economic impacts were estimated as the sum of three impact types: 1. Direct (the specific expenditures impact of FCHES and the Scientific Research and Development Services sector); 2. Indirect (the impact on suppliers to FCHES and the Scientific Research and Development Services sector); and 3. Induced (the additional economic impact of the spending of these suppliers and employees in the county economy)., Results: The total FCHES investment amounted to approximately $11 million between 2016 and 2020. Overall, combined direct, indirect, and induced impacts of the total FCHES federal investment in Genesee County included over 161 job-years, over $7.6 million in personal income, and more than $19.2 million in economic output. In addition, this combined economic activity generated close to $2.3 million in state/local and federal tax revenue. The impact multipliers show the ripple effect of the FCHES investment. For example, the overall output of over $19.2 million led to an impact multiplier of 1.75 - every $1 of federal FCHES investment led to an additional $.75 of economic output in Genesee County., Conclusions: The FCHES research funding yields significant direct economic impacts above and beyond the direct NIH investment of $11 million. The economic impact estimation method may be relevant and generalizable to other large research centers such as FCHES., (© 2021. The Author(s).)

Objectives. To examine temporal trends in the classification of opioid-involved overdose deaths (OODs) and racial variation in the classification of specific types of opioids used. Methods. We analyzed OODs coded as other or unspecified narcotics from 1999 to 2018 in the United States using data from the National Vital Statistics System and the Centers for Disease Control and Prevention. Results. The total proportion of OODs from unspecified narcotics decreased from 32.4% in 1999 to 1.9% in 2018. The proportion of OODs from unspecified narcotics among African American persons was approximately 2-fold greater than that of non-Hispanic White persons until 2012. Similarly, the proportion of OODs from unspecified narcotics among Hispanic persons was greater than that of White persons until 2015. After we controlled for death investigation system, African American persons had a higher incidence rate of OODs from unspecified narcotics compared with White persons. Conclusions. There have been significant improvements in the specification OODs over the past 20 years, and there has been significant racial disparity in the classification of OODs until about 2015. The findings suggest a health data disparity; the excessive misclassification of OODs is likely attributable to the race/ethnicity of the decedent.

Aims: To estimate racial differences in rates of opioid-involved overdose deaths (OOD) between whites and African Americans in the United States from 1999 to 2018 to (1) identify racial variation in the temporal trends of OOD during the 20-year period and (2) compare trends in OOD rates between whites and African Americans using the Centers for Disease Control and Prevention's (CDC) three defined OOD epidemic periods., Methods: Data were obtained from the CDC wide-ranging on-line data for epidemiological research, which combines OOD data from the National Vital Statistics System, and population data from the US Census Bureau. Joinpoint regression models were used to estimate age-adjusted annual percentage change (APC) in OOD by race from 1999 to 2018., Results: The temporal trends of OOD varied by race. African Americans had a persistently low rate of OOD and statistically non-significant rate of change in OOD from 1999 to 2012 (APC = 0.47; P > 0.05), with a statistically significant and rapid acceleration in OOD rates in 2012 that persisted to 2018 (APC = 26.16; P < 0.01). Whites had three statistically significant periods of acceleration in OOD rate from 1999 to 2006 (APC = 12.43; P < 0.01), 2006 to 2013 (APC = 4.34, P < 0.01) and the greatest increase from 2013 to 2016 (APC = 18.96; P < 0.01). Whites had a statistically non-significant decrease in OOD from 2016 to 2018 (P = 0.16). The trend for whites more closely aligned with the CDC-defined epidemic periods than for African Americans. During wave 1 (1999-2010), the average annual percentage change (AAPC) for African Americans was significantly lower than for whites (0.47 versus 9.42, P < 0.01); however, by wave 3 (2013-current; defined by the introduction of illicitly manufactured fentanyl), the AAPC was significantly higher in African Americans (26.16 versus 13.19, P < 0.01)., Conclusions: Despite historically lower rates of opioid misuse and opioid-involved overdose deaths among African Americans compared with whites, the growth in opioid-involved overdose deaths among African Americans now outpaces that of whites in the United States., (© 2020 Society for the Study of Addiction.)

Right sizing has become an essential talking point in discussing next steps for postindustrial and shrinking cities as they struggle to maintain outdated, outsized infrastructure. Yet the literature has been clear that balancing economic and social objectives must be a key part of the discussion, especially given that historical patterns of disinvestment have disproportionately affected socioeconomically disadvantaged and racial/ethnic minority populations. In this Viewpoint, we illuminate concerns on a recent article published in this journal on right sizing that Flint (MI) should have enacted in the wake of its catastrophic water crisis. We present the nature of decline in Flint, as well as evidence from Flint's recent master plan and its history with urban renewal that demonstrates why recommending such a policy not only goes against common urban planning practice but misses the local context in Flint, which is marked by deep-seated apprehension of the inequitable underpinnings of historical urban planning practice.

Purpose: The purpose of this ecological study was to understand the impact of the density of African American (AA) communities on coronavirus disease 2019 (COVID-19) prevalence and death rate within the three most populous counties in each U.S. state and territory ( n =152). Methods: An ecological design was employed for the study. The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n =152 counties. Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. Linear regression was used to determine the association between AA density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. Results: There was a direct association between AA density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density ( p <0.01). There was also an association between county AA density and COVID-19 deaths; the death rate increased 2 per 100,000 for every percentage increase in county AA density ( p =0.02). Conclusion: These findings indicate that communities with a high AA density have been disproportionately burdened with COVID-19. To help develop effective interventions and programs that address this disparity, further study is needed to understand social determinants of health driving inequities for this community., Competing Interests: No competing financial interests exist., (© Elena Cyrus et al. 2020; Published by Mary Ann Liebert, Inc.)

African Americans are overrepresented among reported coronavirus disease 2019 (COVID-19) cases and deaths. There are a multitude of factors that may explain the African American disparity in COVID-19 outcomes, including higher rates of comorbidities. While individual-level factors predictably contribute to disparate COVID-19 outcomes, systematic and structural factors have not yet been reported. It stands to reason that implicit biases may fuel the racial disparity in COVID-19 outcomes. To address this racial disparity, we must apply a health equity lens and disaggregate data explicitly for African Americans, as well as other populations at risk for biased treatment in the health-care system., Competing Interests: No competing financial interests exist., (© Adam J. Milam et al. 2020; Published by Mary Ann Liebert, Inc.)

Extant research has typically examined neighborhood characteristics in isolation using variable-centered approaches; however, there is reason to believe that perceptions of the neighborhood environment influence each other, requiring the use of person-centered approaches to study these relationships. The present study sought to determine profiles of youth that differ in their perceptions of their neighborhoods and objective neighborhood characteristics, and whether these profiles are associated with youth coping. Participants were low-income, African American youth (N= 733; 51.0% female, M age = 18.76 years, SD = 1.71) from a metropolitan city who were originally recruited for the Youth Opportunity program in Baltimore, Maryland. A latent profile analysis was conducted which included self-reported neighborhood social cohesion, collective efficacy, disorder, violence, and disadvantage derived from census data. Coping behaviors, specifically positive cognitive restructuring, problem-focused coping, distraction strategies, and avoidant behaviors were assessed via self-reported questionnaires. Four neighborhood profiles were identified: highest disorder (20.0%); highest violence/highest disadvantage (5.2%); high violence (26.6%); and highest cohesion/lowest disorder (48.2%). Individuals in the highest violence/highest disadvantage profile reported higher positive cognitive restructuring and problem-focused coping than the other profiles. These findings warrant an investigation into the individual assets and contextual resources that may contribute to more positive coping behaviors among youth in more violent and disadvantaged neighborhoods, which has the potential to improve resilient outcomes among youth in similar at-risk settings.

Objective: There are few cost-effectiveness analyses that model alcohol outlet zoning policies. This study determines the potential decreases in homicides, disability-adjusted life years (DALYs), and victim and criminal justice costs associated with four policy options that would reduce the alcohol outlet access in Baltimore., Method: This cost-effectiveness analysis used associations between on-premise (incidence rate ratio [IRR] = 1.41), off-premise (IRR = 1.76), and combined on- and off-premise outlet density (IRR = 1.07) and homicide in Baltimore. We determined the potential change in the level of homicide that could occur with changes in the density of alcohol outlets, assuming that 50% of the association was causal., Results: Reducing alcohol outlet density in Baltimore City by one quintile was associated with decreases of 51 homicides per year, $63.7 million, and 764 DALYs. Removing liquor stores in residential zones was associated with 22 fewer homicides, which would cost $27.5 million and lead to 391 DALYs. Removing bars/taverns operating as liquor stores was associated with a decrease of one homicide, $1.2 million, and 17 DALYs. Removing both the liquor stores in residential zones and the bars/taverns operating as liquor stores was associated with 23 fewer homicides, which translated to $28.7 million and 409 DALYs., Conclusions: For preventing homicides, the strategy of removing liquor stores in residential zones was preferred because it was associated with substantial reductions in homicides without closing unacceptably high numbers of outlets. It is possible that policies that close the bars/taverns operating as liquor stores would be associated with decreases in other types of violent crime.

Objectives: This study assessed the comprehensiveness and efficiency of existing Flint area public health community data using a novel method. One hundred thirty-eight community public health data reports were identified and screened for inclusion from Internet searches and community partner interviews., Methods: Forty-two Centers for Disease Control and Prevention (CDC)-based health metrics were adopted as a standard for unbiased comparison. For each report, a percentage "match-to-standard" was calculated (i.e., we calculated the percentage of CDC recommended metrics that were covered in the report). The two locally generated reports with the highest match-to-standard scores were compared for overlap., Results: There were 138 initially identified reports, and 110 unique reports remained after duplicates were removed. Twenty public health data reports met inclusion criteria and were included in the final sample. The top local public health data report yielded a 59.5% match-to-standard, indicating a 23.8% gap in current Flint area community data. Evaluation across all reports yielded an 89.3% match-to-standard with a 10.7% gap. An overlap of 70% exists between the two local reports with the highest match-to-standard scores., Conclusions: This research identified key health metrics not captured by current locally generated Flint public health reports. The 23.8% gap indicates an opportunity to improve local public health data report comprehensiveness. The 70% overlap across the two local reports with greatest match-to-standard scores generated locally, indicates potential duplication and an opportunity to improve efficiency.

As the opioid epidemic continues to worsen throughout the United States, researchers and practitioners require additional tools to help in efforts to address use and prevent overdose. Although opioids are increasingly of concern to all racial and socioeconomic groups, specific geographic regions and sub-populations remain more burdened by overdoses than others. The example of Flint, Michigan, is used to contextualize the landscape of opioid overdose death and understand geographic and demographic variation in risk. Kernel density analysis and spatial joins in ArcGIS were used to map opioid overdose death clusters, treatment availability, and neighborhood-level conditions to uncover factors related to overdose death. Spatial analysis revealed three geographic clusters in opioid overdose death in Flint. These neighborhoods tended to be somewhat poorer but also significantly Whiter than the average Flint neighborhood. Alternatively, opioid overdose death clusters did not occur in predominately African-American neighborhoods. As well, treatment sites were not coincident with the location of overdose death clusters, suggesting a potential need for geographically-targeted interventions. Of the 47 treatment sites, only 29 offered medication-assisted treatment, and expansion of these programs may therefore be warranted. This work is of great importance to ongoing prevention and treatment efforts in Flint, but also to other communities with a need for better tools to monitor and intervene in the opioid epidemic., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: The past two decades have been marked by increased community involvement in the research process. Community-engaged research (CEnR) is increasingly promoted in the literature, and academic programs with a community-academic partnership focus. Community-based participatory research (CBPR) is an approach to frame equitable community involvement in research and is a critical component of the CEnR continuum. As with CEnR, noted benefits of using CBPR expressed in the literature, which include enhancing the relevance and application of the research data, expertise to complex problems at all stages of research, overcoming community distrust, and improving community health. This article presents a community engagement (CE) model that includes seven defined designations for CEnR. In addition, this model includes equity indicators and contextual factors for consideration at the various levels of engagement along the continuum., Methods: The CE model described in this article combines the principles of CE and CBPR in conjunction with a continuum model. The continuum integrates a focus on health equity and contextual factors providing perspectives from both community and academic partners at each point of engagement., Conclusions: A broadly defined CEnR continuum will allow researchers, community members and organizations to readily identify 1) where they are on the continuum of CEnR, 2) appropriate access points to enter the continuum based on existing contextual factors, and 3) actions to promote progression on the continuum. Funders have the opportunity to specify the appropriate level of CE needed to accomplish the goals of their identified priorities.

Cardiovascular disparities remain pervasive in the United States. Unequal disease burden is evident among population groups based on sex, race, ethnicity, socioeconomic status, educational attainment, nativity, or geography. Despite the significant declines in cardiovascular disease mortality rates in all demographic groups during the last 50 years, large disparities remain by sex, race, ethnicity, and geography. Recent data from modeling studies, linked micromap plots, and small-area analyses also demonstrate prominent variation in cardiovascular disease mortality rates across states and counties, with an especially high disease burden in the southeastern United States and Appalachia. Despite these continued disparities, few large-scale intervention studies have been conducted in these high-burden populations to examine the feasibility of reducing or eliminating cardiovascular disparities. To address this challenge, on June 22 and 23, 2017, the National Heart, Lung, and Blood Institute convened experts from a broad range of biomedical, behavioral, environmental, implementation, and social science backgrounds to summarize the current state of knowledge of cardiovascular disease disparities and propose intervention strategies aligned with the National Heart, Lung, and Blood Institute mission. This report presents the themes, challenges, opportunities, available resources, and recommended actions discussed at the workshop., (© 2018 American Heart Association, Inc.)

Racial/ethnic disparities exist in obesity prevalence among men, with Hispanic men exhibiting the highest prevalence compared with non-Hispanic White and non-Hispanic Black men. Most studies do not parse out Hispanic groups; therefore, it is unclear whether the increases in obesity rates among Hispanic men applies to all groups or if there are particular groups of Hispanic men that are driving the increase. The goal of this study is to examine the variations in obesity among men of diverse racial/ethnic backgrounds and determine if obesity is affected by nativity. The data used in this study were from 11 years (2002-2012) of the National Health Interview Survey. Logistic regression was used to examine the relationship between race/ethnicity, obesity, and nativity. After adjusting for covariates, there are differences in obesity prevalence, with the largest prevalence among Puerto Rican men and Mexican American men. Consistent with previous literature, it has been suggested that men born in the United States are more likely to be obese than men born outside the United States. This study underscores the importance of distinguishing Hispanic groups when examining obesity, and provides information for future, targeted intervention strategies related to obesity among high-risk groups.

Previous research has demonstrated that experiencing interpersonal discrimination is associated with cigarette smoking. Few studies have examined the relationship between the effects of physical and emotional discrimination and cigarette usage, and none have examined this relationship among Black men. The aim of this study was to examine the association between the effects of physical and emotional discrimination and cigarette smoking., Methods: Data from the Indiana Black Men's Health Study, a community-based sample of adult Black men, was used to conduct multivariate logistic regression to examine the relationship between the physical and emotional effects of discrimination and smoking, net of healthcare and workplace discrimination, age, education, household income, and being married., Results: After adjusting for having an emotional response to discrimination, health care and workplace discrimination, age, education, household income, and being married, males who had a physical response to discrimination (e.g., upset stomach or headache) had higher odds of cigarette use (odds ratio (OR): 1.95, 95% confidence interval (CI): 1.15-3.30) than men who did not have a physical response to discrimination., Conclusion: Findings from the study suggest that Black males may use cigarette smoking as a means to mitigate the stress associated with experiences of discrimination. Future research is needed further to explore if and how Black males use cigarette smoking to cope with unfair treatment.

Background: Findings from previous research has demonstrated a positive relationship between interpersonal discrimination and cigarette smoking. Cigarette smoking is proposed to be an externalizing coping mechanism used to alleviate discrimination. At the national level, it is unclear if discrimination is associated with cigarette smoking among African American men., Objective: The aim of the study was to examine the association between discrimination and cigarette smoking among a national sample of African American men., Methods: Using data from the National Survey of American Life (n = 1,271), multivariable logistic regression was used to examine the relationship between discrimination and cigarette smoking., Results: Thirty-two percent of the men were current smokers. Controlling for everyday discrimination, major discrimination, major stress, depressive symptoms, age, being married, household income, and education, African American men who experienced major discrimination had a higher odd of being a current smoking (odds ratio: 1.11, 95% confidence interval: 1.02-1.21) than African American men who did not experience major discrimination. Conclusion/Importance: Findings suggest that African American men may use cigarette smoking as a mechanism to alleviate the experiences of discrimination. Future studies should continue to examine factors associated with African American men's smoking behavior in efforts to inform culturally relevant interventions.

Background: With patterns of initiation of tobacco and marijuana changing, there is increasing evidence that marijuana use may serve as an antecedent to tobacco use among adolescents. However, studies have not fully characterized the prevalence of these patterns among vulnerable youth and have rarely examined the factors that predict the sequencing of onset of tobacco and marijuana use., Methods: Utilizing longitudinal data from a sample of urban youth followed from age 6 to age 18, the authors identify the sequencing of initiation of tobacco and marijuana and test whether race and 5 neighborhood factors (i.e., perceived disorder, drug activity, drug access, exposure to violence, and exposure to violent victimization) predict onset sequencing., Results: Various sequencing patterns were observed, with 12.4% of the sample initiating marijuana use before tobacco use was initiated. In adjusted logistic regression models, black youth were 2.66 times as likely as whites to initiate marijuana before tobacco compared with initiating tobacco before marijuana (P = .032). Youth with greater exposure to violent victimization were 3.89 times as likely to initiate marijuana first than initiate tobacco first (P = .002). Other neighborhood factors were not statistically significantly associated with sequencing., Conclusions: Black youth and youth with greater exposure to victimization had an increased risk of initiating marijuana before tobacco, which suggests that this pattern may be rooted in specific risk factors. Substance use prevention efforts should consider taking into account that marijuana use may put certain youth at risk of initiating tobacco. Future research needs to monitor sequencing, as well as risk factors for and consequences of the various patterns, particularly since marijuana use and the mixing of tobacco and marijuana use are gaining acceptability in general populations.

Tobacco outlet exposure is a correlate of tobacco use with potential differences by gender that warrant attention. The aim of this study is to explore the moderating role of gender in the relationship between tobacco outlet exposure and past month tobacco use among African American young adults 21 to 24 years old. This cross-sectional study (n = 283) used geospatial methods to determine the number of tobacco outlets within walking distance (i.e., a quarter mile) of participants' homes and distance to the nearest outlet. Logistic regression models were used to test interactions between gender and tobacco outlet exposure (i.e., density and proximity). Tobacco outlets were classified based on whether or not they were licensed to sell tobacco only (TO outlets) or tobacco and alcohol (TA outlets). Neither density nor proximity was associated with past month tobacco use in the pooled models. However, gender modified the relationship between TO outlet density and tobacco use, and this relationship was significant only among women (OR = 1.02; p < 0.01; adjusted OR = 1.01; p < 0.05). This study underscores the importance of reducing tobacco outlet density in residential neighborhoods, especially TO outlets, as well as highlights potential gender differences in the relationship between tobacco outlet density and tobacco use., Competing Interests: The authors declare that they have no conflicts of interest.

Despite the adverse effects associated with marijuana abuse and dependence, marijuana is becoming more common-place in activities such as driving. Previous literature has discussed the high rates of cocaine, opioid and benzodiazepine use among users of marijuana, but no research has addressed the rates of concurrent use among drivers meeting abuse or dependence criteria. Each of these substances may produce effects detrimental to driving safety which may be compounded by concurrent substance use. This research examines rates of marijuana use, abuse, and dependence among an active sample of drivers (N = 7,734) in the 2007 National Roadside Survey. Mean age of participants was 36.89 years, and the majority were male (60.1%) and identified as White (59.2%). Participants who used marijuana but did not meet diagnostic criteria for abuse (n = 165) or dependence (n = 112) were significantly more likely to test positive for all substances than were those who did not use marijuana. Further, those that met criteria for marijuana abuse or dependence were more likely than those who did not meet criteria to test positive for THC, cocaine, and benzodiazepines and THC, cocaine, and opioids, respectively. The current research has implications for policy development and drugged driving interventions.

The Problem: Cigarette sales have declined in the United States over the past decade; however, small cigar sales have been rapidly increasing. In most urban areas, small cigars are inexpensive and are sold as singles without health warnings., Purpose of Article: This paper describes a community- academic-practice partnership's (CAPP) efforts to decrease small cigar use in young adults living in Baltimore, Maryland, through legislative strategies., Key Points: Survey data among young adults not in school indicated that 20% of individuals reported current small cigar use, often in combination with cigarettes. The community- academic partnership engaged the community in discussion about small cigar use in the fall of 2007. In collaboration with partners, bills were submitted to the legislative bodies for the city and state to impose minimum packaging requirements on small cigars., Conclusion: Collaborative partnerships between community-based organizations, public health agencies, and academic institutions can lead to policy initiatives with the potential to improve public health.

Community violence is recognized as a major public health problem (WHO, World Report on Violence and Health, 2002) that Americans increasingly understand has adverse implications beyond inner-cities. However, the majority of research on chronic community violence exposure focuses on ethnic minority, impoverished, and/or crime-ridden communities while treatment and prevention focuses on the perpetrators of the violence, not on the youth who are its direct or indirect victims. School-based treatment and preventive interventions are needed for children at elevated risk for exposure to community violence. In preparation, a longitudinal, community epidemiological study, The Multiple Opportunities to Reach Excellence (MORE) Project, is being fielded to address some of the methodological weaknesses presented in previous studies. This study was designed to better understand the impact of children's chronic exposure to community violence on their emotional, behavioral, substance use, and academic functioning with an overarching goal to identify malleable risk and protective factors which can be targeted in preventive and intervention programs. This paper describes the MORE Project, its conceptual underpinnings, goals, and methodology, as well as implications for treatment and preventive interventions and future research.

Objective: The prevalence of drug and alcohol use among patrons of clubs featuring electronic music dance events was determined by using biological assays at entrance and exit., Method: Using a portal methodology that randomly selects groups of patrons on arrival at clubs, oral assays for determining level and type of drug use and level of alcohol use were obtained anonymously. Patrons provided self-reported data on their personal characteristics. A total of 362 patrons were interviewed at entrance and provided oral assay data, and 277 provided data at both entrance and exit., Results: Overall, one quarter of all patrons surveyed at entrance were positive for some type of drug use. Based on our exit sample, one quarter of the sample was positive at exit. Individual drugs most prevalent at entrance or exit included cocaine, marijuana, and amphetamines/stimulants. Only the amphetamine/stimulant category increased significantly from entrance to exit. Drug-using patrons arrive at the club already using drugs; few patrons arrive with no drug use and leave with detectable levels of drug use. Clubs vary widely in drug-user prevalence at entrance and exit, suggesting that both events and club policies and practices may attract different types of patrons. Approximately one half of the total entrance sample arrived with detectable alcohol use, and nearly one fifth arrived with an estimated blood alcohol concentration of .08 or greater. Based on our exit sample data, one third of patrons were intoxicated, and slightly less than one fifth were using both drugs and alcohol at exit. Clubs attract a wide array of emerging adults, with both genders and all ethnicities well represented. Clubs also attract emerging adults who are not in college and who are working full time., Conclusions: At clubs featuring electronic music dance events, drug use and/or high levels of alcohol use were detected using biological assays from patrons at entrance and exit from the clubs. Thus, these clubs present a potentially important location for prevention strategies designed to reduce the risks associated with drug and alcohol use for young people. Combined substance use may prove particularly important for prevention efforts designed to increase safety at clubs. Personal characteristics do not identify drug users, suggesting that environmental strategies for club safety may offer more promise for promoting health and safety.

Background: Drug-impaired driving has received increased attention resulting from development of rapid drug-screening procedures used by police and state laws establishing per se limits for drug levels in drivers. Venues that host electronic music dance events (EMDEs) provide a unique opportunity to assess drug-impaired driving among a high proportion of young adult drug users. EMDEs are late-night dance parties marked by a substantial number of young adult attendees and elevated drug involvement. No studies to date have examined drug-impaired driving in a natural environment with active drug and alcohol users., Methods: Six EMDEs were sampled in San Diego, California, and Baltimore, Maryland. A random sample of approximately 40 attendees per event were administered surveys about alcohol and other drug (AOD) use and driving status, given breath tests for alcohol, and asked to provide oral fluid samples to test for illicit drug use upon entering and exiting the events., Results: Driving status reduced the level of alcohol use (including abstaining) but the impact on drug-taking was not significant. However, 62% of individuals who reported their intention to drive away from the events were positive for drugs or alcohol upon leaving. This suggests that these events and settings are appropriate ones for developing interventions for reducing risks for young adults.

Portal surveys, defined as assessments occurring proximal to the entry point to a high-risk locale and immediately on exit, can be used in different settings to measure characteristics and behavior of attendees at an event of interest. This methodology has been developed to assess alcohol and other drug (AOD) use at specific events and has included measuring intentions to use collected at entry and reported use on exit, as well as chemical tests for AOD consumption at both entrance and exit. Recent applications of the portal survey procedure to electronic music dance events that occur in established venues (e.g., bars or nightclubs) are discussed.