Defining Spatial Epidemiology: A Systematic Review and Re-orientation.

BACKGROUND: Spatial epidemiology has emerged as an important subfield of epidemiology over the past quarter century. We trace the origins of spatial epidemiology and note that its emergence coincided with technological developments in spatial statistics and geography. We hypothesize that spatial epidemiology makes important contributions to descriptive epidemiology and analytic risk-factor studies but is not yet aligned with epidemiology's current focus on causal inference and intervention. METHODS: We conducted a systematic review of studies indexed in PubMed that used the term "spatial epidemiolog*" in the title, abstract, or keywords. Excluded articles were not written in English, examined disease in animals, or reported biologic pathogen distribution only. We coded the included papers into five categories (review, demonstration of method, descriptive, analytic, and intervention) and recorded the unit of analysis (i.e., individual vs. ecological). We additionally examined articles coded as analytic ecologic studies using scales for lexical content. RESULTS: A total of 482 articles met the inclusion criteria, including 76 reviews, 117 demonstrations of methods, 122 descriptive studies, 167 analytic studies, and 0 intervention studies. Demonstration studies were most common from 2006 to 2014, and analytic studies were most common after 2015. Among the analytic ecologic studies, those published in later years used more terms relevant to spatial statistics (incidence rate ratio =1.3; 95% confidence interval [CI] = 1.1, 1.5) and causal inference (incidence rate ratio =1.1; 95% CI = 1.1, 1.2). CONCLUSIONS: Spatial epidemiology is an important and growing subfield of epidemiology. We suggest a re-orientation to help align its practice with the goals of contemporary epidemiology.

Co-occurring conditions during pregnancy and hospitalizations in the first year postpartum among persons with opioid use disorder.

INTRODUCTION: Pregnant persons with opioid use disorder (OUD) face a multitude of comorbid conditions that may increase the risk of adverse drug and health outcomes. This study characterizes typologies of comorbidities among pregnant persons with OUD and assesses the associations of these typologies with hospitalizations in the first year postpartum. METHODS: A cohort of pregnant persons with OUD at delivery in 2018 were identified in a Pennsylvania statewide hospital dataset (n = 2055). Latent class analysis assessed 12 comorbid conditions including substance use disorders (SUDs), mental health conditions, and infections. Multivariable logistic regressions examined the association between comorbidity classes and hospitalizations (all-cause, OUD-specific, SUD-related, mental health-related) during early (0-42 days) and late (43-365 days) postpartum. RESULTS: A three-class model best fit the data. Classes included low comorbidities (56.9% of sample; low prevalence of co-occurring conditions), moderate polysubstance/depression (18.4%; some SUDs, all with depression), and high polysubstance/bipolar disorder (24.7%; highest probabilities of SUDs and bipolar disorder). Overall, 14% had at least one postpartum hospitalization. From 0 to 42 days postpartum, the moderate polysubstance/depression and high polysubstance/bipolar disorder classes had higher odds of all-cause and mental health-related hospitalization, compared to the low comorbidities class. From 43 to 365 days postpartum, the high polysubstance/bipolar disorder class had higher odds of all-cause hospitalizations, while both the high polysubstance/depression and moderate polysubstance/bipolar disorder classes had higher odds of SUD-related and mental health-related hospitalizations compared to the low comorbidities class. CONCLUSIONS: Findings highlight the need for long-term, multidisciplinary healthcare delivery interventions to address comorbidities and prevent adverse postpartum outcomes.

Opioid Use Disorder and Overdose in the First Year Postpartum: A Rapid Scoping Review and Implications for Future Research.

OBJECTIVE: Opioid overdose is a leading cause of maternal mortality, yet limited attention has been given to the consequences of opioid use disorder (OUD) in the year following delivery when most drug-related deaths occur. This article provides an overview of the literature on OUD and overdose in the first year postpartum and provides recommendations to advance maternal opioid research. APPROACH: A rapid scoping review of peer-reviewed research (2010-2021) on OUD and overdose in the year following delivery was conducted in PubMed, PsycINFO, and Web of Science databases. This article discusses existing research, remaining knowledge gaps, and methodological considerations needed. RESULTS: Seven studies were included. Medication for OUD (MOUD) was the only identified factor associated with a reduction in overdose rates. Key literature gaps include the role of mental health disorders and co-occurring substance use, as well as interpersonal, social, and environmental contexts that may contribute to postpartum opioid problems and overdose. CONCLUSION: There remains a limited understanding of why women in the first year postpartum are particularly vulnerable to opioid overdose. Recommendations include: (1) identifying subgroups of women with OUD at highest risk for postpartum overdose, (2) assessing opioid use, overdose, and risks throughout the first year postpartum, (3) evaluating the effect of co-occurring physical and mental health conditions and substance use disorders, (4) investigating the social and contextual determinants of opioid use and overdose after delivery, (5) increasing MOUD retention and treatment engagement postpartum, and (6) utilizing rigorous and multidisciplinary research methods to understand and prevent postpartum overdose.

What is already known on this subject: Opioid overdose is a leading cause of maternal death within one year of delivery. Factors that increase susceptibility to or protect against opioid problems and overdose after delivery are not well understood.What this study adds: Seven articles were identified in a rapid scoping review of opioid use disorder (OUD) and overdose in the year following delivery. Medication for OUD (MOUD) was the only identified factor associated with a decreased risk of postpartum overdose. Literature gaps include co-morbid conditions, interpersonal factors, and social and environmental contexts that contribute to opioid-related morbidity and mortality after delivery.

Mental Health and Alcohol Use during and before the Early Phases of the COVID-19 Pandemic.

The early phases of the coronavirus 19 disease (COVID-19) pandemic were associated with changes in psychological well-being and alcohol use. However, it is unclear whether these changes are artifacts of psychological well-being and alcohol use prior to the pandemic across different sociodemographic groups. We received surveys from 247 adult residents of Allegheny County, Pennsylvania (United States), with an oversampling of sexual- and gender-minority individuals. Responses included measures of psychological well-being, substance use, and sociodemographic characteristics. Unadjusted mean depression scores, anxiety scores, and number of drinking days increased for all age and income groups during COVID-19, while average number of drinks per drinking day and days intoxicated differentially increased or decreased by age and income groups. Using Bayesian seemingly unrelated regression, we assessed depression and anxiety symptoms and alcohol use during the early stages of the pandemic and one month before COVID-19 was first identified in Allegheny County concurrently. Those in the youngest (18-24) group drank on more days during (but not before) the pandemic than those in the 25-44 age group. Compared to cisgender women, gender-minority adults had higher depression scores during the early stages of the pandemic. Employed adults had lower anxiety scores during (but not before) the pandemic than adults who were unemployed. Those with past-year annual incomes above $80,000 had fewer drinks on average drinking occasions than those in the $40,000 or below group before (but not during) the pandemic. Patterns of psychological distress and alcohol use associated with the COVID-19 pandemic differ by subgroup compared to patterns prior to the pandemic. Interventions addressing worsening mental health outcomes and shifting alcohol use patterns must be sensitive to the needs of vulnerable groups, such as younger adults and those experiencing poverty or unemployment.

Effect of HCV or HIV infection on mortality among hospitalized persons who used opioids, 2000-2010.

Mortality due to opioid misuse and overdose has increased substantially in the United States over the past two decades. The study objective was to describe the causes of death among persons with opioid-related hospitalizations and examine survival by Hepatitis C virus (HCV) or HIV. Opioid-related hospitalization records in Pennsylvania from 2000 to 2010 were linked to death registry files to assess cause of death, and survival from first hospital discharge date to death date, or December 31, 2010. Accelerated failure time models were used to compare survival between persons with and without HCV or HIV diagnoses. Among the 136,416 individuals with an opioid-related hospitalization, 13.0% died over a median of 56 months of follow-up; the most common causes of death were circulatory diseases (26.4%) and drug overdose (23.5%). There were 27,122 (19.9%) and 3662 (2.7%) persons who had an HCV and HIV diagnosis, respectively. Among patients aged ≥20 years, those with HCV had shorter survival time compared to those without HCV, with discrepancies more pronounced at older ages. Patients with HIV also had shorter survival time (time ratio: 0.29 [95% CI: 0.26, 0.34]) compared to without HIV. These findings show that in a cohort of patients with opioid-related hospitalizations, those with HCV or HIV diagnoses have shorter survival. This has public health implications, providing further evidence that medical providers should educate patients who use opioids about the risks of HCV and HIV infection and focus prevention and treatment to decrease mortality among patients hospitalized for opioid use.

Context-Specific Drinking Risks among Adolescents.

Background: Research has shown that specific contexts are associated with alcohol related problems in adults, but less is known about adolescents. Objectives: We examined how frequencies of drinking in different contexts and the amount of alcohol consumed in these contexts may be related to different alcohol-related problems among adolescent drinkers. Methods: Data were collected through a cross-sectional survey with 377 adolescents (13 to 18 years old) who reported past-6-month alcohol use, sampled from California households. Outcome measures included the breadth of alcohol-related problems participants experienced in the past 6-months overall and in 4 domains (physical, personal, social, and driving under the influence of alcohol or riding with a drunk driver [DUI/RDD]). We also assessed socio-demographics, the number of days adolescents drank alcohol in five contexts (restaurants, own homes, others' homes, outdoors, and fraternities/sororities) and the typical number of drinks they had in each context. Context-specific dose-response models were used to analyze data. Results: In adjusted models, drinking more frequently in outdoor venues was associated with greater number of alcohol-related problems. Drinking frequency in others' homes and in fraternities/sororities was positively associated with a greater number of physical problems. Drinking frequencies in outdoor venues and in others' homes were associated with greater number of personal problems. Finally, drinking more frequently in outdoor venues was associated with greater number of social problems and DUI/RDD. Conclusions/Importance: Results suggest the importance of considering drinking contexts independent of heavier drinking in the context, and they can be used to inform prevention interventions targeting specific risks in relation to alcohol use in specific contexts.KEY POINT SUMMARYThe associations between contexts and drinking problems among adolescents cannot be fully explained by heavier drinking in these contexts.Adolescents' drinking frequencies in specific contexts are uniquely associated with different types of alcohol-related problems.Results inform prevention interventions targeting specific risks in relation to alcohol use in specific contexts among adolescents.

Multiresolution Analyses of Neighborhood Correlates of Crime: Smaller Is Not Better.

Population analyses of the correlates of neighborhood crime implicitly assume that a single spatial unit can be used to assess neighborhood effects. However, no single spatial unit may be suitable for analyses of the many social determinants of crime. Instead, effects may appear at multiple spatial resolutions, with some determinants acting broadly, others locally, and still others as some function of both global and local conditions. We provide a multiresolution spatial analysis that simultaneously examines US Census block, block group, and tract effects of alcohol outlets and drug markets on violent crimes in Oakland, California, incorporating spatial lag effects at the 2 smaller spatial resolutions. Using call data from the Oakland Police Department from 2010-2015, we examine associations of assaults, burglaries, and robberies with multiple resolutions of alcohol outlet types and compare the performance of single (block-level) models with that of multiresolution models. Multiresolution models performed better than the block models, reflected in improved deviance and Watanabe-Akaike information criteria and well-supported multiresolution associations. By considering multiple spatial scales and spatial lags in a Bayesian framework, researchers can explore multiresolution processes, providing more detailed tests of expectations from theoretical models and leading the way to more effective intervention efforts.

Predicting the Future Course of Opioid Overdose Mortality: An Example From Two US States.

BACKGROUND: The rapid growth of opioid abuse and the related mortality across the United States has spurred the development of predictive models for the allocation of public health resources. These models should characterize heterogeneous growth across states using a drug epidemic framework that enables assessments of epidemic onset, rates of growth, and limited capacities for epidemic growth. METHODS: We used opioid overdose mortality data for 146 North and South Carolina counties from 2001 through 2014 to compare the retrodictive and predictive performance of a logistic growth model that parameterizes onsets, growth, and carrying capacity within a traditional Bayesian Poisson space-time model. RESULTS: In fitting the models to past data, the performance of the logistic growth model was superior to the standard Bayesian Poisson space-time model (deviance information criterion: 8,088 vs. 8,256), with reduced spatial and independent errors. Predictively, the logistic model more accurately estimated fatality rates 1, 2, and 3 years in the future (root mean squared error medians were lower for 95.7% of counties from 2012 to 2014). Capacity limits were higher in counties with greater population size, percent population age 45-64, and percent white population. Epidemic onset was associated with greater same-year and past-year incidence of overdose hospitalizations. CONCLUSION: Growth in annual rates of opioid fatalities was capacity limited, heterogeneous across counties, and spatially correlated, requiring spatial epidemic models for the accurate and reliable prediction of future outcomes related to opioid abuse. Indicators of risk are identifiable and can be used to predict future mortality outcomes.

Microecological Relationships Between Area Income, Off-Premise Alcohol Outlet Density, Drinking Patterns, and Alcohol Use Disorders: The East Bay Neighborhoods Study.

BACKGROUND: Distinguishing the impacts of neighborhood income and off-premise alcohol outlet density on alcohol use has proven difficult, particularly given the conflation of these measures across neighborhood areas. We explicitly test for differential effects related to individual and area income and outlet densities on alcohol use and alcohol use disorders (AUDs) by implementing a stratified microecological sample. METHODS: The East Bay Neighborhoods Study included a survey of 984 residents of 72 microenvironments within a geographically contiguous 6-city area in California and Systematic social observations of each site. The sites included 18 areas in each of 4 strata (high/low median household income and off-premise outlet density). We assessed 4 outcomes: 28-day drinking frequency, average quantity of alcohol consumed per drinking occasion, 28-day drinking volume, and Alcohol Use Disorders Identification Test (AUDIT) score. We used zero-inflated negative binomial regression with standard errors adjusted for site clusters to relate drinking measures to individual-level age, race/ethnicity, gender, marital status, education, and income, and neighborhood indicators of site strata, physical disorder, and physical decay. An interaction term was tested representing site-level by individual-level income. RESULTS: Living in a high-income site, regardless of off-premise alcohol outlet density, was associated with more frequent drinking and higher alcohol dependence/problems. Both individual-level income and site-level income were related to greater frequencies of use, but lower income drinkers in high-income areas drank more than comparable drinkers in low-income areas. Study participants living in high-density off-premise alcohol outlet sites drank less frequently but did not differ in terms of either AUDIT scores or heavy drinking from participants living in low-density sites. CONCLUSIONS: Using a stratified microecological sampling design, we were able to directly assess statistical associations of off-premise outlet density and neighborhood median household income with patterns of drinking and AUDs. Caution should be used interpreting prior study findings linking off-premise outlet densities to drinking.

Social Media Use and Deliberate Self-Harm Among Youth: A Systematized Narrative Review.

BACKGROUND: Suicide is now the 2nd leading cause of death among adolescents and young adults. Social media's influence on youth suicidal risk or attenuation of risk is a novel and rapidly expanding topic of research that requires attention from a broad range of mental health services professionals. We aimed to provide an updated review of social media-related risk and protective factors to youth deliberate-self harm (DSH) to guide mental health services professionals in offering care and support to youth vulnerable to suicide. METHODS: Studies on which primary research was conducted that evaluated young people's use of social media platforms related to DSH were systematically searched via Scopus and identified through expert recommendation and the Association for Computing Machinery's digital library of conference materials. The search focused on the timeframe June 2014 to September 2019, to offer an update since the time the most recent systematic reviews on this topic concluded their literatures searches. Quality was reviewed using the Mixed Methods Appraisal Tool (MMAT). RESULTS: A total of 38 articles were eligible, and 24 articles rated as high quality were included in a narrative review. Of the included articles, 19 explored DSH risk and 8 explored DSH protection. Most articles reported on cross-sectional quantitative or qualitative studies. Opportunities for both risks and benefits were explored, and potential influences of social media use were considered for subgroups of youth who may be especially vulnerable to suicide. CONCLUSIONS: In the relatively short period of review, the association between social media use and youth DSH was tested in population-based studies, offering preliminary evidence for suicide prevention and treatment efforts. Further research is needed to understand the contribution of social media use to youth DSH, particularly among youth most vulnerable to suicidal risk.

Maternal Obesity, Birth Size, and Risk of Childhood Cancer Development.

Infants and children are particularly vulnerable to in utero and early-life exposures. Thus, a mother's exposures before and during pregnancy could have important consequences for her child's health, including cancer development. We examined whether birth certificate-derived maternal anthropometric characteristics were associated with increased risk of subsequent childhood cancer development, accounting for established maternal and infant risk factors. Pennsylvania birth and cancer registry files were linked by the state Department of Health, yielding a virtual cohort of births and childhood cancers from 2003 through 2016. The analysis included 1,827,875 infants (13,785,309 person-years at risk), with 2,352 children diagnosed with any cancer and 747 with leukemia before age 14 years. Children born to mothers with a body mass index (weight (kg)/height (m)2) of ≥40 had a 57% (95% confidence interval: 12, 120) higher leukemia risk. Newborn size of ≥30% higher than expected was associated with 2.2-fold and 1.8-fold hazard ratios for total childhood cancer and leukemia, respectively, relative to those with expected size. Being <30% below expected size also increased the overall cancer risk (P for curvilinearity < 0.0001). Newborn size did not mediate the association between maternal obesity and childhood cancer. The results suggest a significant role of early-life exposure to maternal obesity- and fetal growth-related factors in childhood cancer development.

Alcohol Use Thresholds for Identifying Alcohol-related Problems Before and Following Roux-en-Y Gastric Bypass.

OBJECTIVE: The aim of this study was to determine the sensitivity and specificity of potential thresholds of alcohol use for identifying alcohol-related problems in women post-Roux-en-Y gastric bypass (RYGB). BACKGROUND: Despite evidence that RYGB alters alcohol pharmacokinetics and is associated with an increased risk for alcohol-related problems, the level of alcohol use that should prompt further screening for alcohol-related problems following RYGB is unclear. METHODS: The Longitudinal Assessment of Bariatric Surgery-2 is a prospective cohort study. Before surgery and annually for ≤7 years following surgery, participants completed the 10-item Alcohol Use Disorder Identification Test (AUDIT), which assesses past-year frequency and quantity of alcohol, frequency of consuming ≥6 drinks, and alcohol-related problems (ie, symptoms of alcohol dependence and/or alcohol-related harm). The AUDIT-Consumption (AUDIT-C) score was determined from the first 3 AUDIT items. RESULTS: Post-RYGB, 835 women reported current drinking at 1 or more annual assessment(s). Compared with higher frequency thresholds, drinking ≥2 times/month had the highest combined sensitivity (85.3%) and specificity (61.4%) for identifying alcohol-related problems. Compared with higher quantity thresholds, drinking ≥3 drinks/drinking day had the highest combined sensitivity (64.2%) and specificity (87.2%). An AUDIT-C score ≥3, versus other thresholds, had the highest combined sensitivity (76.4%) and specificity (81.6%). CONCLUSION: The sensitivity and specificity of these thresholds indicate assessment of alcohol consumption alone may be inadequate for identifying women at risk for alcohol-related problems post-RYGB. Additional screening tools for alcohol-related problems, which assess symptoms of alcohol-related problems, should be conducted in this population.

Heterogeneous Dose-Response Analyses of Alcohol Abuse and Dependence.

BACKGROUND: Survey-based estimates of the prevalence of alcohol abuse, dependence, and disorders in the United States rely upon self-reports of drinking patterns (e.g., binge drinking), social problems (e.g., trouble at work), physiological responses to use (e.g., tolerance), and desistance from use (e.g., withdrawal). Diagnostic criteria derived from these reports enable prevalence estimates of abuse and dependence, but moderating structural relationships among symptom groups may lead some light and moderate drinkers to appear to exhibit an alcohol use disorder (AUD). METHODS: A dynamic model of drinking and problems predicts that symptoms of dependence will moderate relationships between drinking measures and symptoms of abuse. Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions data on DSM-IV diagnoses of abuse and dependence were used to test predictions from this model and assess whether moderating effects were observed among lighter and heavier drinkers (those who drink 1 to 3 vs. 4 or more drinks on average). A dose-response model that accounts for other known sources of risk heterogeneity related to drinking and problems enabled us to test these predictions. RESULTS: As expected from previous work, symptoms of abuse and dependence and dependence criteria were nonlinearly related to drinking patterns; more symptom reports appeared and criteria were met among less frequent drinkers who drank more on each occasion and this pattern of dose-response was substantially moderated among heavier drinkers. Controlling for these effects, relationships between drinking and symptoms of abuse were moderated among respondents who met more dependence criteria. These effects were observed among both lighter and heavier drinkers. CONCLUSIONS: Moderating relationships observed between measures of drinking, abuse, and dependence criteria among lighter and heavier drinkers suggest that the same etiologic forces are at play among all drinking groups. Greater symptoms of dependence among lighter drinkers may lead to greater reports of symptoms of abuse and an AUD diagnosis.

Do Associations Between Alcohol Use and Alcohol Use Disorder Vary by Weight Status? Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III.

BACKGROUND: Understanding whether the associations between alcohol use and alcohol use disorder (AUD) differ by weight status may be useful in screening for AUD in populations where obesity is common. We aimed to determine whether the associations between alcohol use and AUD differ by weight status. METHODS: A total of 24,869 adult participants of the National Epidemiologic Survey on Alcohol and Related Conditions-III with a body mass index ≥18.5 kg/m2 who reported past-year alcohol use were included. The AUD and Associated Disabilities Interview Schedule-5 were administered to identify past-year AUD. Logistic regression was used to test the associations between weight status and levels and patterns of alcohol use with AUD; interactions between weight status and alcohol use variables in relation to AUD were examined. Analyses were stratified by gender. RESULTS: For males and females, the odds of AUD were higher with greater frequency of any alcohol use and heavy drinking, higher average quantity of drinks per drinking day, and past-year high-risk drinking. Among males, at the same average quantity of drinks per drinking day, frequency of heavy drinking, or presence of high-risk drinking, those with class 3 obesity had higher odds of AUD versus lower classes or no obesity (p for all interactions <0.01). Among females, at the same frequency of any alcohol use, those with healthy weight had the highest odds of AUD, while females with class 3 obesity had the lowest odds of AUD (p for interaction <0.001); interactions between weight status and other alcohol use variables were not significant (p ≥ 0.05). CONCLUSIONS: The associations between some measures of alcohol use and AUD differed by weight status, with inconsistent results between males and females. Alcohol use thresholds typically used in AUD screening may be too high in males with class 3 obesity.

Anti-Influenza Triterpene Saponins from the Bark of Burkea africana.

In an in vitro cytopathic effect inhibition assay with the H3N2 influenza virus A/Hong Kong/68 (HK/68), the bark extract of Burkea africana was found to be a promising antiviral lead with an IC50 value of 5.5 µg/mL without noteworthy cytotoxicity in Madin Darby canine kidney cells. After several chromatographic steps, triterpene saponins of the lupane and oleanane types were identified as the bioactive principles. In total, eight new triterpene saponins (1-8) with four so far undescribed aglycone structures were isolated and characterized via HRESIMS, GC-MS, and 1D and 2D NMR spectroscopy. Their anti-influenza virus activity on HK/68 and the 2009 pandemic H1N1 strain A/Jena/8178/09 revealed the most potent effects by compounds 7 and 8, with IC50 values between 0.05 and 0.27 µM. This is the first time triterpene saponins have been reported as constituents of the investigated plant material.

Discovery of Bioactive Natural Products for the Treatment of Acute Respiratory Infections - An Integrated Approach.

In this work, an integrated approach for the identification of new antiviral agents from natural sources for the treatment of acute respiratory infections is presented. The approach comprises (i) the selection of starting material based on traditional knowledge, (ii) phenotypic screening of extracts for antiviral activity, and (iii) the implementation of in silico predictions to identify antiviral compounds and derive the molecular mechanism underlying their biological activity. A variety of starting materials from plants and fungi was selected for the production of 162 extracts. These extracts were tested in cytopathic effect inhibition assays against influenza virus A/Hong Kong/68 (HK/68), rhinovirus A2 (RV-A2), and coxsackie virus B3 (CV-B3). All extracts were also evaluated regarding their cytotoxicity. At an IC50 threshold of 50 µg/mL, 20, 11, and 14% of all tested extracts showed antiviral activity against HK/68, CV-B3, and RV-A2, respectively. Among all active extracts (n = 47), 68% showed antiviral activity against one of the investigated viruses, whereas 31% inhibited at least two viruses. Herein, we present a comprehensive dataset of probed extracts along with their antiviral activities and cytotoxicity. Application examples presented in this work illustrate the phytochemical workflow for the identification of antiviral natural compounds. We also discuss the challenges, pitfalls, and advantages of the integrated approach.

Prevalence of Past-Year Sexual Assault Victimization Among Undergraduate Students: Exploring Differences by and Intersections of Gender Identity, Sexual Identity, and Race/Ethnicity.

A critical step in developing sexual assault prevention and treatment is identifying groups at high risk for sexual assault. We explored the independent and interaction effects of sexual identity, gender identity, and race/ethnicity on past-year sexual assault among college students. From 2011 to 2013, 71,421 undergraduate students from 120 US post-secondary education institutions completed cross-sectional surveys. We fit multilevel logistic regression models to examine differences in past-year sexual assault. Compared to cisgender (i.e., non-transgender) men, cisgender women (adjusted odds ratios [AOR] = 2.47; 95% confidence interval [CI] 2.29, 2.68) and transgender people (AOR = 3.93; 95% CI 2.68, 5.76) had higher odds of sexual assault. Among cisgender people, gays/lesbians had higher odds of sexual assault than heterosexuals for men (AOR = 3.50; 95% CI 2.81, 4.35) but not for women (AOR = 1.13; 95% CI 0.87, 1.46). People unsure of their sexual identity had higher odds of sexual assault than heterosexuals, but effects were larger among cisgender men (AOR = 2.92; 95% CI 2.10, 4.08) than cisgender women (AOR = 1.68; 95% CI 1.40, 2.02). Bisexuals had higher odds of sexual assault than heterosexuals with similar magnitude among cisgender men (AOR = 3.19; 95% CI 2.37, 4.27) and women (AOR = 2.31; 95% CI 2.05, 2.60). Among transgender people, Blacks had higher odds of sexual assault than Whites (AOR = 8.26; 95% CI 1.09, 62.82). Predicted probabilities of sexual assault ranged from 2.6 (API cisgender men) to 57.7% (Black transgender people). Epidemiologic research and interventions should consider intersections of gender identity, sexual identity, and race/ethnicity to better tailor sexual assault prevention and treatment for college students.

Reducing Risky Sex Among College Students: Prospects for Context-Specific Interventions.

Better understanding the contribution of specific drinking contexts to alcohol use and risky sexual behaviors can help target effective prevention programs to specific locations and types of drinkers. We used a sample of college students to investigate whether more frequent and heavier drinking in specific drinking contexts was associated with unplanned sex, unprotected sex, and number of sexual contacts. Greater frequencies of drinking in almost all contexts (Greek parties, off-campus parties, campus events, dorms, and bars) were associated with greater numbers of sexual partners, unplanned sex and unprotected sex; heavier drinking at bars increased risks related to all outcomes. Risks related to frequencies of use of contexts were similar for men and women, but heavier drinking at bars was associated with more unprotected sex among males only. We discuss these observations in light of their implications for developing context-specific interventions to reduce community viral load in high-risk populations.

Neighborhood Social Resources and Depressive Symptoms: Longitudinal Results from the Multi-Ethnic Study of Atherosclerosis.

The ways in which a neighborhood environment may affect depression and depressive symptoms have not been thoroughly explored. This study used longitudinal data from 5475 adults in the Multi-Ethnic Study of Atherosclerosis to investigate associations of time-varying depressive symptoms between 2000 and 2012 (measured using the 20-item Center for Epidemiologic Studies Depression Scale (CES-D)) with survey-based measures of neighborhood safety and social cohesion (both individual-level perceptions and neighborhood-level aggregates) and densities of social engagement destinations. Linear mixed models were used to examine associations of baseline cross-sectional associations and cumulative exposures with changes over time in CES-D. Econometric fixed effects models were utilized to investigate associations of within-person changes in neighborhood exposures with within-person changes in CES-D. Adjusting for relevant covariates, higher safety and social cohesion and greater density of social engagement destinations were associated with lower CES-D at baseline. Greater cumulative exposure to these features was not associated with progression of CES-D over 10 years. Within-person increases in safety and in social cohesion were associated with decreases in CES-D, although associations with cohesion were not statistically significant. Social elements of neighborhoods should be considered by community planners and public health practitioners to achieve optimal mental health.