How place and race drive the numbers of fatal police shootings in the US: 2015-2020.

Place and race are two important predictors of fatal police shootings. We used Mapping Police Violence Data and the Washington Post Fatal Force Data to determine whether a county's deprivation status within communities influences the association between the number of fatal police shootings, and how the number of fatal police shootings differs by race and ethnicity. We categorized counties based on the Social Vulnerability Index (SVI) to three categories: low-, medium-, and high-SVI. The analytical sample included 3136 US counties between 2015 and 2020; during this time, 5525 individuals were fatally shot by police. Our findings show that place strongly impacts the number of fatal police shootings. Among all fatal shootings, 713 occurred in low-SVI counties, 1660 in middle-SVI, and 3152 in high-SVI counties. Race played a significant role; fatal shooting deaths increased by 2.3 times among White individuals, 9.6 times among Black individuals, and 15 times among Hispanic individuals between low- and high-SVI counties. The results of negative binomial regressions show a strong association between fatal police shootings and the counties' characteristics. In comparison with low-SVI counties, residents in counties with moderate and high-SVI are more likely to be fatally shot by police by 4.9 and 5.8 percentage points. In addressing violence and fatal police shootings, the vulnerability of counties and the population's racial composition play significant roles and need specific attention in addressing systemic racial disparities in the criminal justice system.

Firearm injury hospitalizations and handgun purchaser licensing laws: longitudinal evaluation of state-level purchaser licensure requirements on firearm violence, 2000-2016.

BACKGROUND: Handgun purchaser licensing (HPL) laws mandate individuals to obtain a license from law enforcement before buying a firearm. Research indicates these laws effectively reduce various forms of fatal firearm violence, including homicides, suicides, and mass shootings. Our study sought to assess the impact of HPL laws on non-fatal firearm violence. METHODS: Utilizing the augmented synthetic control method (ASCM), we estimated the average treatment effect on the treated (ATT) resulting from a full repeal of an HPL law in Missouri (2007), a partial repeal in Michigan (2012), and an adoption on HPL law in Maryland (2013) on firearm injury hospitalizations. We utilized RAND's healthcare cost and utilization project-based dataset from 2000 to 2016 for our outcome variable. We conducted in-time placebo testing and leave-one-out donor pool testing as sensitivity analyses. RESULTS: Maryland's adoption was associated with a statistically significant 32.3% reduction in firearm-related injury hospitalization (FIH) rates (ATT = - 0.497, standard error (SE) = 0.123); Missouri's repeal was associated with a statistically significant 35.7% increase in FIH rates (ASCM = 0.456, SE = 0.155); and Michigan's partial repeal showed no statistically significant associations with FIH rates (ATT = - 0.074, SE = 0.129). Sensitivity analyses confirm the robustness of the estimated HPL effects. DISCUSSION: HPL laws appear to be protective against hospitalizations for nonfatal firearm injuries. These findings align with prior research indicating that HPL laws are effective in reducing fatal firearm violence. States without such licensing systems ought to consider these robust policies as a means to address firearm violence.

Exploring the Association Between Minimum Wage Policy, Income Inequality, and Obesity Rates in US Counties.

OBJECTIVE: To examine the interaction between minimum wage policy, income inequality, and obesity rates among U.S. counties, and how this relationship is shaped by policy, place, and racial/ethnic composition in a county. METHODS: We used the County Health Rankings Data for obesity ratio (measured by Body Mass Index ≥ 30 kg/m2) in US counties and combined it with the American Community Survey to include the Gini coefficient (GC) and population characteristics. The analytical sample included 3129 counties between 2015 and 2019. We ran several sets of regression analyses, controlling for county characteristics, access to healthy foods, and minimum wage categories as a policy influencer on the obesity ratio. RESULTS: In total, 31.7% of the population were obese, with wide variations across counties; during this time, counties' average GC was 0.442. Our findings showed that in the lack of any other predictors, GC has a positive association with the county obesity ratio (OLS 0.147, CI 0.122-0.173). Counties with minimum wage between $7.26-$9.0 and $9 + had lower obesity ratios by - 0.6 and - 2.8 percentage points, respectively, and counties with lower access to healthy foods had higher obesity ratio (Coeff = 0.022, CI 0.019-0.025). CONCLUSIONS: Income inequality is positively associated with the obesity ratio in counties. Access to healthy foods and state minimum wage policy predict obesity rates, with a lack of healthy foods increasing the ratio, while a higher minimum wage reduces it.

Nonfatal Firearm Injury and Firearm Mortality in High-risk Youths and Young Adults 25 Years After Detention.

Importance: Youths, especially Black and Hispanic males, are disproportionately affected by firearm violence. Yet, no epidemiologic studies have examined the incidence rates of nonfatal firearm injury and firearm mortality in those who may be at greatest risk-youths who have been involved with the juvenile justice system. Objectives: To examine nonfatal firearm injury and firearm mortality in youths involved with the juvenile justice system and to compare incidence rates of firearm mortality with the general population. Design, Setting, and Participants: The Northwestern Juvenile Project is a 25-year prospective longitudinal cohort study of 1829 youths after juvenile detention in Chicago, Illinois. Youths were randomly sampled by strata (sex, race and ethnicity, age, and legal status [juvenile or adult court]) at intake from the Cook County Juvenile Temporary Detention Center. Participants were interviewed at baseline (November 1995 to June 1998) and reinterviewed as many as 13 times over 16 years, through February 2015. Official records on mortality were collected through December 2020. Data analysis was conducted from November 2018 to August 2022. Main Outcomes and Measures: Participants self-reported nonfatal firearm injuries. Firearm deaths were identified from county and state records and collateral reports. Data on firearm deaths in the general population were obtained from the Illinois Department of Public Health. Population counts were obtained from the US census. Results: The baseline sample of 1829 participants included 1172 (64.1%) males and 657 (35.9%) females; 1005 (54.9%) Black, 524 (28.6%) Hispanic, 296 (16.2%) non-Hispanic White, and 4 (0.2%) from other racial and ethnic groups (mean [SD] age, 14.9 [1.4] years). Sixteen years after detention, more than one-quarter of Black (156 of 575 [27.1%]) and Hispanic (103 of 387 [26.6%]) males had been injured or killed by firearms. Males had 13.6 (95% CI, 8.6-21.6) times the rate of firearm injury or mortality than females. Twenty-five years after the study began, 88 participants (4.8%) had been killed by a firearm. Compared with the Cook County general population, most demographic groups in the sample had significantly higher rates of firearm mortality (eg, rate ratio for males, 2.8; 95% CI, 2.0-3.9; for females: 6.5; 95% CI, 3.0-14.1; for Black males, 2.5; 95% CI, 1.7-3.7; for Hispanic males, 9.6; 95% CI, 6.2-15.0; for non-Hispanic White males, 23.0; 95% CI, 11.7-45.5). Conclusions and Relevance: This is the first study to examine the incidence of nonfatal firearm injury and firearm mortality in youths who have been involved with the juvenile justice system. Reducing firearm injury and mortality in high-risk youths and young adults requires a multidisciplinary approach involving legal professionals, health care professionals, educators, street outreach workers, and public health researchers.

Substance Use Disorders and HIV/AIDS Risk Behaviors in Youth After Juvenile Detention: A 16-Year Longitudinal Study.

PURPOSE: To examine the association between substance use disorders (SUDs) and HIV/AIDS risk behaviors in detained youth as they age. METHODS: Prospective longitudinal study of a stratified random sample of 1,829 youth aged 10 to 18 years at baseline, sampled between November 1995 and June 1998 from the Cook County Juvenile Temporary Detention Center, Chicago, Illinois, and reinterviewed up to 13 times (to median age 32); 17,766 interviews overall. RESULTS: Youth had greater odds of engaging in every risk behavior when they had an SUD compared with when they did not have an SUD. For example, SUD was associated with condomless vaginal sex with a high-risk partner (OR: 2.28, 95% CI: 1.84-2.82). SUD was also associated with multiple partners, although the strength varied by time and sex (e.g., 16 years after baseline, OR: 3.58, 95% CI: 2.46-5.23 females; OR: 2.07, 95% CI: 1.48-2.88 males). Types of SUD-alcohol, comorbid alcohol and marijuana, drugs other than marijuana-were also associated with HIV/AIDS risk behaviors. DISCUSSION: SUDs and HIV/AIDS risk behaviors are linked among youth in the juvenile justice system and as they age. There is a longstanding need for targeted and integrated HIV and SUD services, but this need remains unmet.

How Income and Income Inequality Drive Depressive Symptoms in U.S. Adults, Does Sex Matter: 2005-2016.

IMPORTANCE: Depression is one of the leading causes of disability in the United States. Depression prevalence varies by income and sex, but more evidence is needed on the role income inequality may play in these associations. OBJECTIVE: To examine the association between the Poverty to Income Ratio (PIR)-as a proxy for income-and depressive symptoms in adults ages 20 years and older, and to test how depression was concentrated among PIR. DESIGN: Using the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we employed Negative Binomial Regression (NBRG) in a sample of 24,166 adults. We used a 9-item PHQ (Public Health Questionnaire, PHQ-9) to measure the presence of depressive symptoms as an outcome variable. Additionally, we plotted a concentration curve to explain how depression is distributed among PIR. RESULTS: In comparison with high-income, the low-income population in the study suffered more from greater than or equal to ten on the PHQ-9 by 4.5 and 3.5 times, respectively. The results of NBRG have shown that people with low-PIR (IRR: 1.30, 95% CI: 1.23-1.37) and medium-PIR (IRR: 1.55, 95% CI: 1.46-1.65) have experienced a higher relative risk ratio of having depressive symptoms. Women have a higher IRR (IRR: 1.29, 95% CI: 1.24-1.34) than men. We observed that depression was concentrated among low-PIR men and women, with a higher concentration among women. CONCLUSION AND RELEVANCE: Addressing depression should target low-income populations and populations with higher income inequality.

Income Inequality, Race/Ethnicity, and Obesity in U.S. Men 20 Years and Older: 1999 to 2016.

Obesity is a significant public health problem globally and within the United States. It varies by multiple factors, including but not limited to income. The literature indicates little evidence of the association between income and obesity. We examined the association between income and obesity in U.S. adult men ages 20 years and older and tested racial and ethnic differences. We used data from the 1999 to 2016 National Health and Nutrition Examination Surveys for analyses. Obesity was determined using body mass index ≥30 kg/m2. We used poverty income ratio (PIR) as a proxy for income and calculated the Gini coefficient (GC) to measure income inequality. We then categorized low-, medium-, and high PIR to examine the relationship between income inequality and obesity. We used Modified Poisson regression in a sample of 17,238 adult men, including 9,511 White Non-Hispanic White (NHW), 4,166 Non-Hispanic Black (NHB), and 3,561 Mexican Americans (MA). We controlled the models for age category, racial and ethnic groups, marital status, education, health behaviors, health insurance coverage, self-reported health, comorbidity, and household structure. Results of our adjusted models suggested a positive and significant association between PIR and obesity among NHWs and NHBs in medium and high PIR; this association was not significant in MAs. Results of our analyses using GC in obese men indicate that compared with NHWs (GC: 0.306, SE: 0.004), MAs (GC: 0.368, SE: 0.005), and NHBs (GC: 0.328, SE: 0.005) had experienced higher-income inequality. In treating obesity, policymakers should consider race/ethnicity strategies to reduce inequality in income.

Association of Firearm Access, Use, and Victimization During Adolescence With Firearm Perpetration During Adulthood in a 16-Year Longitudinal Study of Youth Involved in the Juvenile Justice System.

Importance: Preventing firearm violence requires understanding its antecedents. Yet no comprehensive longitudinal study has examined how involvement with firearms during adolescence-use, access, and victimization (defined as threatened with a weapon or gunshot injury)-is associated with the perpetration of firearm violence in adulthood. Objective: To examine the association between firearm involvement during adolescence and subsequent firearm perpetration and ownership in adulthood among youth involved in the juvenile justice system. Design, Setting, and Participants: This cohort study analyzed interview responses of 1829 randomly selected participants as part of the Northwestern Juvenile Project, a longitudinal study of health needs and outcomes of youth sampled from a temporary juvenile detention center in a large US city. Youth aged 10 to 18 years were interviewed in detention from November 1995 through June 1998. Participants were reinterviewed up to 13 times over 16 years through February 2015, for a total of 17 776 interviews. The sample was stratified by sex, race/ethnicity, age, and legal status (juvenile or adult court). Data were analyzed from April 2017, when data preparation began, through November 2020. Exposures: Firearm involvement during adolescence: use (ie, threaten, shoot), access (ownership, ease of access, firearm in household, membership in gang that carries firearms), and victimization (gunshot injury, threatened with a weapon). Main Outcomes and Measures: Firearm involvement during adulthood: perpetration of firearm violence (ie, threatening with or using a firearm) and firearm ownership. Results: Among the 1829 participants, 1388 had a 16-year follow-up interview: 860 males, 528 females; 809 were African American, 203 were non-Hispanic White; 374 were Hispanic; and 2 were other race/ethnicity; median (interquartile range) age of 32 (30-32) years. Eighty-five percent of males and 63.2% of females were involved with firearms as adolescents. Compared with females, males had significantly higher odds of every type of involvement except having a firearm in the home. In adulthood, 41.3% of males and 10.5% of females perpetrated firearm violence. Adolescents who had been threatened with a weapon or injured by firearms had 3.1 (95% CI, 2.0-4.9) and 2.4 (95% CI, 1.2-4.9) times the odds of perpetrating violence during adulthood. Similar associations were found for firearm ownership. Conclusions and Relevance: Involvement with firearms during adolescence-including victimization-is a significant risk factor for firearm perpetration and ownership during adulthood.