Examining predictors of suicide by firearm in young, middle, and late adulthood.

INTRODUCTION: Suicide remains a leading cause of death in the U.S., and firearms are one of the most lethal methods of suicide. This study examines personal and contextual factors that predict suicide with a firearm compared to other methods across stages of adulthood. METHODS: Data on adult suicide decedents from 2009 to 2019 were obtained from Colorado's National Violent Death Reporting System (NVDRS) data (N = 11,512). The dataset includes incident and person characteristics collected by law enforcement and coroners. Zip code level data were integrated from the American Community Survey. RESULTS: Age, sex, race, marital status, military service, substance use, suicide attempt history, mental health, and location characteristics (population density, as well as age, education, veteran status, and household status of population) predicted suicide by firearm. Risk was particularly high for males in older adulthood. We further explored age-specific models (young, middle-aged, and older adults) to determine salient risk factors for each group. CONCLUSION: This study highlights the need for comprehensive suicide prevention approaches that consider both individual and contextual risk factors, as well as unique risks in each stage of adulthood.

Place Still Matters: Social Vulnerabilities, Place-Level Disadvantage, and Food Insecurity during COVID-19.

COVID-19 variants continue to create public health danger impacting mortality and morbidity across the United States. The spillover effects of COVID-19 on the economy and social institutions pose a significant threat to broader wellbeing, including the food security of millions across the country. We aim to explore whether the context of place matters above and beyond individual and social vulnerabilities for food insecurity. To do so, we employ a multi-level framework using data from a survey of over 10,000 U.S. adults from March 2020 with American Community Survey (ACS) and John Hopkins COVID Dashboard county-level data. We find nearly two in five respondents were food insecure by March of 2020 with disparities across race, nativity, the presence of children in the home, unemployment, and age. Furthermore, we note that individuals living in more disadvantaged communities were more likely to report food insecurity above and beyond individual and social vulnerabilities. Overall, food insecurity is driven by complex, multi-level dynamics that remain a pressing public health concern for the current-but also future-public health crisis.

Examining disparities in the early adoption of Covid-19 personal mitigation across family structures.

The United States' response to the COVID-19 pandemic has relied heavily on personal mitigation behaviors versus centralized governmental prevention strategies, especially early in the virus's outbreak. This study examines how family structure shapes mitigation, focusing on the intersectional effects of gender, marital status, and the presence of children while accounting for differences in worry about infection from the virus. Using data from a national survey of 10,368 United States adults early in the pandemic (March 2020), survey-weighted logistic regression models show important differences in the likelihood of personal mitigation adoption across family structures. Unmarried women with children were most likely to report personal mitigation behaviors, including washing hands more frequently and avoiding social gatherings. Our findings highlight the differential impacts of the pandemic on those living in specific family circumstances.

Race and ethnicity, gender, and age on perceived threats and fear of COVID-19: Evidence from two national data sources.

Previous studies find preventative behaviors designed to reduce the number of infections during emerging disease outbreaks are associated with perceived risk of disease susceptibility. Few studies have attempted to identify underlying factors that explain differences in perceptions of risk during an infectious disease outbreak. Drawing from two early waves of American Trends Panel (n=7,441), as well as a National Science Foundation funded, Qualtrics national panel survey from the early stages of the pandemic (n=10,368), we test whether race and ethnicity, gender, and age were associated with six perceived threat and fear outcomes related to COVID-19. Results demonstrate race and ethnicity, gender, and age play a significant role in shaping threat and fear perceptions of COVID-19, but depending on the outcome, relationships vary in direction and magnitude. In some cases, historically marginalized racial and ethnic groups were more likely to report high fear and perceive coronavirus as a major threat to population and individual health, whereas, in others cases, the same marginalized racial and ethnic groups were less likely to perceive coronavirus to be a serious threat to the immune-comprised and the elderly population. We also find women were generally more likely to report high levels of threat and fear of COVID-19. Finally, we observe a clear age difference, whereby adults in older age groups report high-risk perceptions of COVID-19. Findings can inform public health programs designed to educate communities on the benefits of engaging in effective preventative practices during emerging infectious disease outbreaks.

Facing new fears during the COVID-19 pandemic: The State of America's mental health.

OBJECTIVE: COVID-19 is rearranging our society with fear and worry about the novel coronavirus impacting the mental health of Americans. The current study examines the intersection of COVID-19 fear, worries and perceived threat with social vulnerabilities and mental health consequences, namely anxiety and depressive symptomatology. METHODS: Using an online platform, a national sample (n = 10, 368) of U.S. adults was surveyed during the week of March 23, 2020. The sample was post-strata weighted to ensure adequate representation of the U.S. population based on population estimates for gender, race/ethnicity, income, age, and geography. RESULTS: Fear and worry are not distributed equally across the country; rather they are concentrated in places where the largest number of confirmed COVID-19 cases is found. Additionally, data highlight significant differences in the subjective perception of distress across groups with varying social vulnerabilities. Women, Hispanics, Asians, families with children under 18, and foreign-born respondents reported higher levels of subjective fear and worry compared to their counterparts. Finally, even after controlling for social vulnerability, subjective assessments of distress were positive, and significantly related to anxiety and depressive symptomatology; prior mental health research from China and Europe confirm what others have begun to document in the United States. CONCLUSIONS: This preliminary work provides practitioners with a glimpse of what lies ahead, which individuals and communities may be the most vulnerable, and what types of strategic interventions might help to address a wide range of mental health consequences for Americans in the months and years ahead.

Living in the midst of fear: Depressive symptomatology among US adults during the COVID-19 pandemic.

BACKGROUND: The current study examines interrelationships between social vulnerability, individual stressors, social and psychological resources, and depressive symptomatology among US adults during the current coronavirus disease 2019 (COVID-19) pandemic. METHODS: Using an online survey platform, a poststratified (by age, gender, race, income, and geography), representative sample (n = 10,368 adults) is used in the analysis. RESULTS: On average, sample respondents report Center for Epidemiological Studies Depression (CES-D) Scale symptomatology nearly a point higher than the often used cutoff score for clinical caseness (16+); one-third of respondents had CES-D scores higher than 25. Multiple regression results show elevated levels of depressive symptomatology among the socially vulnerable (women, Hispanic, unmarried, not working). Those persons expressing heightened COVID-19 fear and moderate to high levels of food insecurity report more depressive symptoms than persons with less fear and low or no food insecurity. All three of the resource variables (mastery of fate, strength of ties, and optimism) are significant and in the negative direction. CONCLUSIONS: In a snapshot, the data provide an important point prevalence assessment of adult depressive symptoms during the current public health crisis. Results highlight the significance of vulnerability and individual stressors in the wake of the COVID-19 pandemic. In addition, the analysis affirms the importance of access to social and psychological resources to combat heightened fear and anxiety that persons report during the current pandemic.

Examining the neighborhood-level socioeconomic characteristics associated with fatal overdose by type of drug involved and overdose setting.

BACKGROUND: Fatal drug overdose in the United States is a public health crisis fueled by increased opioid and polysubstance use. Few studies have compared the neighborhood-level socioeconomic characteristics associated with overdoses of various substance classes and, to our knowledge, no investigation has yet assessed these factors in relation to polysubstance overdoses. Further, no study has determined whether socioeconomic conditions predict other contextually relevant aspects of overdoses such as whether they occur at-home or out-of-home. METHODS: Overdose data (2015-2018) were obtained from the Coroner/Medical Examiner's Office of Jefferson County, Alabama. The toxicology results of decedents with a known overdose locations (N = 768) were assessed for the presence of synthetic opioids, natural and semi-synthetic opioids, heroin, stimulants, benzodiazepines, and alcohol. Socioeconomic characteristics were obtained from the Unites States Census Bureau at the census tract level. RESULTS: Stimulant overdoses occurred in neighborhoods with the highest rates of disadvantage relative to other substance and polysubstance overdose types. The majority of included overdoses occurred at-home (63.7%) and an index of socioeconomic disadvantage predicted overdose rates for both at-home and out-of-home overdoses. Heroin overdose deaths were more likely to occur at-home while polysubstance stimulant-heroin overdoses were more common out-of-home. CONCLUSIONS: An index of socioeconomic disadvantage was generally predictive of overdose, regardless of the setting in which the overdose occurred (in-home vs. out-of-home). The associations between neighborhood-level socioeconomic characteristics and fatal overdose can be tailored by substance type to create targeted interventions. Overdose setting may be an important consideration for future policy efforts, as overdoses were nearly twice as likely to occur at-home.

How bad is it? Suicidality in the middle of the COVID-19 pandemic.

OBJECTIVE: The current paper examines the intersection between social vulnerability, individual risk, and social/psychological resources with adult suicidality during the COVID-19 pandemic. METHOD: Data come from a national sample (n = 10,368) of U.S. adults. Using an online platform, information was gathered during the third week of March 2020, and post-stratification weighted to proportionally represent the U.S. population in terms of age, gender, race/ethnicity, income, and geography. RESULTS: Nearly 15 percent of sampled respondents were categorized as high risk, scoring 7+ on the Suicide Behaviors Questionnaire-Revised (SBQ-R). This level of risk varied across social vulnerability groupings: Blacks, Native Americans, Hispanics, families with children, unmarried, and younger respondents reported higher SBQ-R scores than their counterparts (p < .000). Regression results confirm these bivariate differences and also reveal that risk factors (food insecurity, physical symptoms, and CES-D symptomatology) are positive and significantly related to suicidality (p < .000). Additionally, resource measures are significant and negatively related to suicidality (p < .000). CONCLUSIONS: These results provide some insight on the impact COVID-19 is having on the general U.S. POPULATION: Practitioners should be prepared for what will likely be a significant mental health fall-out in the months and years ahead.

Fear of COVID-19 and the mental health consequences in America.

The intent of this work was to examine the intersection of COVID-19 fear with social vulnerabilities and mental health consequences among adults living in the United States. Data are from a nationally representative sample (n = 10,368) of U.S. adults surveyed online during demographic subgroups (gender, age, income, race and ethnicity, geography). The sample week of March 23, 2020. The sample was poststratification weighted to ensure a balanced representation across social and demographic subgroups (gender, age, income, race or ethnicity, geography). The sample comprised 51% female; 23% non-White; 18% Hispanic; 25% of households with children under 18 years of age; 55% unmarried; and nearly 20% unemployed, laid off, or furloughed at the time of the interview. Respondents were fearful, averaging a score of nearly 7 on a scale of 10 when asked how fearful they were of COVID-19. Preliminary analysis suggests clear spatial diffusion of COVID-19 fear. Fear appears to be concentrated in regions with the highest reported COVID-19 cases. Significant differences across several U.S. census regions are noted (p < .01). Additionally, significant bivariate relationships were found between socially vulnerable respondents (female, Asians, Hispanic, foreign-born, families with children) and fear, as well as with mental health consequences (anxiety and depressive symptoms). Depressive symptoms, on average, were high (16+ on the Center for Epidemiologic Studies Depression scale), and more than 25% of the sample reported moderate to severe anxiety symptoms. More in-depth psychosocial research is needed using nationally representative samples that can help to inform potential mental health risks, as well as by targeting specific mental health interventions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Pharmacies and features of the built environment associated with opioid overdose: A geospatial comparison of rural and urban regions in Alabama, USA.

BACKGROUND: Elements of the physical environment have been shown to influence health behaviors including drug use and overdose mortality. Throughout the opioid epidemic in the United States, rural regions have been disproportionately affected by opioid overdose. Although the relationship between the urban built environment and opioid overdose has been established, little is known as to how trends may differ in rural areas. METHODS: Risk terrain modeling was used as a spatial analytical approach to assess environmental features that significantly increase the risk of opioid overdose in Jefferson County, Alabama. Spatial risk assessments were conducted for urban and rural regions as well as for the county as a whole. Criminogenic, opioid-related, and community variables were included and compared across spatial risk models. RESULTS: The geographic context, rural or urban, influenced the relationship between environmental features and opioid overdose. In rural areas, community features such as bus stops and public schools were related to the occurrence of opioid overdose. In urban areas, inpatient treatment centers, transitional living facilities, express loan establishments, and liquor vendors were significantly related to the locations of opioid overdose. CONCLUSION: Risk terrain modeling can be used to locate high-risk areas for opioid overdose while identifying factors that are contributing to the risk of events occurring in communities. The patterns of overdose risk differ in rural and urban contexts and may be used to inform the placement of treatment and prevention resources.

Neighborhood Violent Crime and Academic Performance: A Geospatial Analysis.

Decades of empirical work have confirmed that experiences with violence are associated with a variety of adverse behavioral and mental health as well as academic outcomes for children and adolescents. Yet this research largely has relied on indirect measures of exposure. In this study, we apply geospatial analysis to examine the relation between neighborhood violent crime (via police reports) and academic performance (via school-level standardized test proficiency rates). Findings suggest that greater numbers of crimes proximal to school buildings relate to lower levels of academic performance. These results persisted even when controlling economic disadvantage in the student body. Implications for research and policy are discussed.