Vital Signs: Prevalence of Multiple Forms of Violence and Increased Health Risk Behaviors and Conditions Among Youths - United States, 2019.

INTRODUCTION: Experiencing violence, especially multiple types of violence, can have a negative impact on youths' development. These experiences increase the risk for future violence and other health problems associated with the leading causes of morbidity and mortality among adolescents and adults. METHODS: Data from the 2019 national Youth Risk Behavior Survey were used to determine the prevalence of high school students' self-reported experiences with physical fighting, being threatened with a weapon, physical dating violence, sexual violence, and bullying. Logistic regression models adjusting for sex, grade, and race/ethnicity were used to test the strength of associations between experiencing multiple forms of violence and 16 self-reported health risk behaviors and conditions. RESULTS: Approximately one half of students (44.3%) experienced at least one type of violence; more than one in seven (15.6%) experienced two or more types during the preceding 12 months. Experiencing multiple types of violence was significantly more prevalent among females than among males and among students identifying as gay, lesbian, or bisexual or not sure of their sexual identity than among heterosexual students. Experiencing violence was significantly associated with higher prevalence of all examined health risks and conditions. Relative to youths with no violence experiences, adjusted health risk and condition prevalence estimates were up to seven times higher among those experiencing two types of violence and up to 21 times higher among those experiencing three or more types of violence. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Many youths experience multiple types of violence, with potentially lifelong health impacts. Violence is preventable using proven approaches that address individual, family, and environmental risks. Prioritizing violence prevention is strategic to promoting adolescent and adult health.

Racial, Ethnic, Sex, and Age Differences in COVID-19 Cases, Hospitalizations, and Deaths Among Incarcerated People and Staff in Correctional Facilities in Six Jurisdictions, United States, March-July 2020.

OBJECTIVES: To examine disparities by sex, age group, and race and ethnicity in COVID-19 confirmed cases, hospitalizations, and deaths among incarcerated people and staff in correctional facilities. METHODS: Six U.S. jurisdictions reported data on COVID-19 confirmed cases, hospitalizations, and deaths stratified by sex, age group, and race and ethnicity for incarcerated people and staff in correctional facilities during March 1- July 31, 2020. We calculated incidence rates and rate ratios (RR) and absolute rate differences (RD) by sex, age group, and race and ethnicity, and made comparisons to the U.S. general population. RESULTS: Compared with the U.S. general population, incarcerated people and staff had higher COVID-19 case incidence (RR = 14.1, 95% CI = 13.9-14.3; RD = 6,692.2, CI = 6,598.8-6,785.5; RR = 6.0, CI = 5.7-6.3; RD = 2523.0, CI = 2368.1-2677.9, respectively); incarcerated people also had higher rates of COVID-19-related deaths (RR = 1.6, CI = 1.4-1.9; RD = 23.6, CI = 14.9-32.2). Rates of COVID-19 cases, hospitalizations, and deaths among incarcerated people and corrections staff differed by sex, age group, and race and ethnicity. The COVID-19 hospitalization (RR = 0.9, CI = 0.8-1.0; RD = -48.0, CI = -79.1- -16.8) and death rates (RR = 0.8, CI = 0.6-1.0; RD = -11.8, CI = -23.5- -0.1) for Black incarcerated people were lower than those for Black people in the general population. COVID-19 case incidence, hospitalizations, and deaths were higher among older incarcerated people, but not among staff. CONCLUSIONS: With a few exceptions, living or working in a correctional setting was associated with higher risk of COVID-19 infection and resulted in worse health outcomes compared with the general population; however, Black incarcerated people fared better than their U.S. general population counterparts.

Hospitalizations for COVID-19 Among US People Experiencing Incarceration or Homelessness.

Importance: People experiencing incarceration (PEI) and people experiencing homelessness (PEH) have an increased risk of COVID-19 exposure from congregate living, but data on their hospitalization course compared with that of the general population are limited. Objective: To compare COVID-19 hospitalizations for PEI and PEH with hospitalizations among the general population. Design, Setting, and Participants: This cross-sectional analysis used data from the Premier Healthcare Database on 3415 PEI and 9434 PEH who were evaluated in the emergency department or were hospitalized in more than 800 US hospitals for COVID-19 from April 1, 2020, to June 30, 2021. Exposures: Incarceration or homelessness. Main Outcomes and Measures: Hospitalization proportions were calculated. and outcomes (intensive care unit admission, invasive mechanical ventilation [IMV], mortality, length of stay, and readmissions) among PEI and PEH were compared with outcomes for all patients with COVID-19 (not PEI or PEH). Multivariable regression was used to adjust for potential confounders. Results: In total, 3415 PEI (2952 men [86.4%]; mean [SD] age, 50.8 [15.7] years) and 9434 PEH (6776 men [71.8%]; mean [SD] age, 50.1 [14.5] years) were evaluated in the emergency department for COVID-19 and were hospitalized more often (2170 of 3415 [63.5%] PEI; 6088 of 9434 [64.5%] PEH) than the general population (624 470 of 1 257 250 [49.7%]) (P < .001). Both PEI and PEH hospitalized for COVID-19 were more likely to be younger, male, and non-Hispanic Black than the general population. Hospitalized PEI had a higher frequency of IMV (410 [18.9%]; adjusted risk ratio [aRR], 1.16; 95% CI, 1.04-1.30) and mortality (308 [14.2%]; aRR, 1.28; 95% CI, 1.11-1.47) than the general population (IMV, 88 897 [14.2%]; mortality, 84 725 [13.6%]). Hospitalized PEH had a lower frequency of IMV (606 [10.0%]; aRR, 0.64; 95% CI, 0.58-0.70) and mortality (330 [5.4%]; aRR, 0.53; 95% CI, 0.47-0.59) than the general population. Both PEI and PEH had longer mean (SD) lengths of stay (PEI, 9 [10] days; PEH, 11 [26] days) and a higher frequency of readmission (PEI, 128 [5.9%]; PEH, 519 [8.5%]) than the general population (mean [SD] length of stay, 8 [10] days; readmission, 28 493 [4.6%]). Conclusions and Relevance: In this cross-sectional study, a higher frequency of COVID-19 hospitalizations for PEI and PEH underscored the importance of adhering to recommended prevention measures. Expanding medical respite may reduce hospitalizations in these disproportionately affected populations.

Measurement of Adverse Childhood Experiences: It Matters.

INTRODUCTION: Alternative measurement approaches for adverse childhood experiences (i.e., count score versus individual adverse childhood experiences measured dichotomously versus individual adverse childhood experiences measured ordinally) can alter the association between adverse childhood experiences and adverse outcomes. This could significantly impact the interpretation of adverse childhood experiences research. METHODS: Data were collected in 2018 (analyzed in 2020) via Amazon's Mechanical Turk and from people incarcerated in 4 correctional facilities (N=1,451). Included adverse childhood experience questions measured the following: physical, emotional, and sexual abuse; physical and emotional neglect; household mental illness, substance use, domestic violence, and incarceration; and exposure to community violence before age 18 years. A total of 19 measured outcomes spanned 4 domains of functioning: general functioning, substance use, psychopathology, and criminal behavior. RESULTS: Regression models using the count score explained the least amount of variance in outcomes, whereas multivariable regression models assessing adverse childhood experiences on a continuum explained the most variance. In many instances, the explained variance increased by 2-5 times across the predictive models. When comparing regression coefficients for multivariable regression models that measured adverse childhood experiences as binary versus ordinal, there were notable differences in the effect sizes and in which adverse childhood experiences predicted outcomes. Disparities in results were most pronounced among high-risk populations that experience a disproportionate amount of adverse childhood experiences. CONCLUSIONS: Alternative methods of measuring adverse childhood experiences can influence understanding of their true impact. These findings suggest that the deleterious effects of imprecise measurement methods may be most pronounced in the populations most at risk of adverse childhood experiences. For the sake of prevention, the measurement of adverse childhood experiences must evolve.

National Prevalence of Sexual Violence by a Workplace-Related Perpetrator.

INTRODUCTION: Workplace sexual violence is not a new phenomenon but has received increased attention recently with the re-emergence of the #metoo movement. Gaps exist in the understanding of the prevalence of this problem in the U.S., its perpetrators, and its impacts. METHODS: Using 2010-2012 data from the National Intimate Partner and Sexual Violence Survey (22,590 women and 18,584 men), this study examined the prevalence of several types of sexual violence by a workplace-related perpetrator (authority figure or nonauthority figure) and numerous impacts of the violence, including psychological impacts, safety concerns, and missing days of work or school. Data were analyzed in 2018. RESULTS: In the U.S., 5.6% of women (almost 7 million) and 2.5% of men (nearly 3 million) reported some type of sexual violence by a workplace-related perpetrator. Almost 4% of women (3.9%) reported sexual violence by nonauthority figures and 2.1% reported authority figures; 2.0% of men reported sexual violence by nonauthority figures, and 0.6% reported authority figures. For women, the most commonly reported sexual violence type was unwanted sexual contact (3.5% of women); for men, it was noncontact unwanted sexual experiences (1.3% of men). An estimated 1 million women (0.8%) have been raped by a workplace-related perpetrator. For women and men, fear was the most commonly reported impact of workplace-related sexual violence. CONCLUSIONS: These findings suggest that workplace prevention efforts that do not address different components of workplace harassment may not be adequate to address all forms of sexual violence occurring across the U.S. in the workplace context.

Economic Burden of US Youth Violence Injuries.

This economic evaluation study reports the annual economic burden of youth violence injuries using the most recent national data.