School racial/ethnic composition, effect modification by caring teacher/staff presence, and mid-/late-life depressive symptoms: findings from the Study of Healthy Aging in African Americans.

For Black students in the United States, attending schools with a higher proportion of White students is associated with worse mental and physical health outcomes in adolescence/early adulthood. To our knowledge, no prior studies have evaluated the association between school racial/ethnic composition from kindergarten through grade 12 and later-life mental health. In a cohort of Black adults aged ≥50 years in Northern California who retrospectively reported (2017-2020) school racial/ethnic composition for grades 1, 6, 9, and 12, we assessed the association between attending a school with mostly Black students versus not and mid-/late-life depressive symptoms (8-item Patient-Reported Outcomes Measurement Information System (PROMIS) depression score, standardized to the 2000 US adult population) using age-, sex/gender-, southern US birth-, and parental education-adjusted generalized estimating equations, and assessed effect modification by the presence of a caring teacher/staff member. Levels of later-life depressive symptoms were lower among those who attended schools with mostly Black students in grades 1 and 6 (ß = -0.12 [95% CI, -0.23 to 0.00] and ß = -0.11 [95% CI, -0.22 to 0.00], respectively). In grade 6, this difference was larger for students without an adult at school who cared about them (ß = -0.29 [95% CI, -0.51 to -0.07] vs ß = -0.04 [95% CI, -0.17 to 0.09]). Among Black Americans, experiencing early schooling with mostly Black students may have later-life mental health benefits; this protective association appears more important for students without the presence of caring teachers/staff. This article is part of a Special Collection on Mental Health.

State Schooling Policies and Cognitive Performance Trajectories: A Natural Experiment in a National US Cohort of Black and White Adults.

BACKGROUND: Education is strongly associated with cognitive outcomes at older ages, yet the extent to which these associations reflect causal effects remains uncertain due to potential confounding. METHODS: Leveraging changes in historical measures of state-level education policies as natural experiments, we estimated the effects of educational attainment on cognitive performance over 10 years in 20,248 non-Hispanic Black and non-Hispanic White participants, aged 45+ in the REasons for Geographic and Racial Disparities in Stroke (REGARDS) cohort (2003-2020) by (1) using state- and year- specific compulsory schooling laws, school-term length, attendance rate, and student-teacher ratio policies to predict educational attainment for US Census microsample data from 1980 and 1990, and (2) applying policy-predicted years of education (PPYEd) to predict memory, verbal fluency, and a cognitive composite. We estimated overall and race- and sex-specific effects of PPYEd on level and change in each cognitive outcome using random intercept and slope models, adjusting for age, year of first cognitive assessment, and indicators for state of residence at age 6. RESULTS: Each year of PPYEd was associated with higher baseline cognition (0.11 standard deviation [SD] increase in composite measure for each year of PPYEd, 95% confidence interval [CI]: 0.07, 0.15). Subanalyses focusing on individual cognitive domains estimate the largest effects of PPYEd on memory. PPYEd was not associated with rate of change in cognitive scores. Estimates were similar across Black and White participants and across sex. CONCLUSIONS: Historical policies shaping educational attainment are associated with better later life memory, a major determinant of dementia risk.

All Stressors Are Not Equal: The Salience of Racial Discrimination and Appraisal for Blood Pressure in African American Women.

OBJECTIVE: Psychosocial stress is a major predictor of chronic disease among African American (AA) women. Stress is a process involving exposure, appraisal of threat, coping, and psychobiologic adaptation. However, many studies focus on the frequency of stress events and/or coping; few explicitly study stress events and their appraisals; and AA women experience high levels of racial discrimination, a well-known form of social identity threat (i.e., negative experiences due to judgment based on identity). Stressors related to social identity threat may be differentially appraised and associated with divergent physiologic outcomes. This study examined the differences in the frequency and stressfulness associated with general stressors and racial discrimination in relation to blood pressure (BP) among AA women. METHODS: Multivariable regression was used on cross-sectional data from 208 middle-aged AA women residing in the San Francisco Bay Area. RESULTS: AA women reported less frequency of racial discrimination compared with general stressors, but were more likely to appraise racial discrimination events as stressful. Racial discrimination stressfulness was more strongly associated with systolic BP (SBP) than the number of racial discrimination events. There was a U-shaped association between racial discrimination stress and SBP, with those reporting "none" and "high/very high" distress having the highest SBP ( b = 12.2 [2.7 to 21.8] and b = 15.7 [1.5-29.8], respectively, versus moderate stress). Conversely, those reporting "very low" general stressfulness had the lowest SBP ( b = -7.9 [-15.8 to -0.1], versus moderate stress). Diastolic BP followed a similar pattern, although results were nonsignificant. CONCLUSIONS: This study highlights the importance of stress appraisal measures and adds to the body of evidence documenting racial discrimination as a salient psychosocial stressor for AA women.

The impact of attending historically Black colleges and universities on cognitive decline in Black adults: A longitudinal analysis in the KHANDLE and STAR cohorts.

INTRODUCTION: Black students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, potentially offsetting the established benefits of college for lowering dementia incidence. METHODS: Black participants in two cohorts (the Kaiser Healthy Aging and Diverse Life Experiences [KHANDLE] and the Study of Healthy Aging in African Americans [STAR]) who had attended college (N = 716) self-reported the college name (classified as HBCU vs. PWI) and completed three waves of executive function (EF) and verbal episodic memory (VEM) assessments. HBCU effects on cognitive level and decline were estimated using adjusted linear mixed-effects models. RESULTS: HBCU (vs. PWI) attendees averaged better EF (ß = 0.05 [-0.22, 0.32]) and VEM (ß = 0.21 [-0.06, 0.46]) at age 70 though neither association was statistically significant. HBCU attendance was associated with slightly faster VEM decline (ß = -0.03 [-0.05, 0.00]). DISCUSSION: Harmonized analyses with larger studies are needed to estimate important effects of HBCU attendance. HIGHLIGHTS: Higher education is robustly linked to lower dementia risk, yet Black-White inequities persist among college-educated adults. Black students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, which may offset the established benefits of college for lowering dementia incidence. HBCU (vs. non-HBCU) attendees averaged better executive function and verbal episodic memory (VEM) at average age 70, though confidence intervals were wide and associations were not statistically significant, and averaged slightly faster decline in VEM. Harmonized analyses using larger nationally representative studies are likely needed to avoid underestimating the health effects of HBCU attendance.

Postsecondary Education and Late-life Cognitive Outcomes Among Black and White Participants in the Project Talent Aging Study: Can Early-life Cognitive Skills Account for Educational Differences in Late-life Cognition?

BACKGROUND: Higher education consistently predicts improved late-life cognition. Racial differences in educational attainment likely contribute to inequities in dementia risk. However, few studies of education and cognition have controlled for prospectively measured early-life confounders or evaluated whether the education late-life cognition association is modified by race/ethnicity. METHODS: Among 2343 Black and White Project Talent Aging Study participants who completed telephone cognitive assessments, we evaluated whether the association between years of education and cognition (verbal fluency, memory/recall, attention, and a composite cognitive measure) differed by race, and whether these differences persisted when adjusting for childhood factors, including the cognitive ability. RESULTS: In fully adjusted linear regression models, each additional year of education was associated with higher composite cognitive scores for Black [ß=0.137; 95% confidence interval (CI)=0.068, 0.206] and White respondents (ß=0.056; CI=0.034, 0.078) with an interaction with race ( P =0.03). Associations between education and memory/recall among Black adults (ß=0.036; CI=-0.037, 0.109) and attention among White adults (ß=0.022; CI=-0.002, 0.046) were nonsignificant. However, there were significant race-education interactions for the composite ( P =0.03) and attention measures ( P <0.001) but not verbal fluency ( P =0.61) or memory/recall ( P =0.95). CONCLUSION: Education predicted better overall cognition for both Black and White adults, even with stringent control for prospectively measured early-life confounders.

Racial Discrimination and Telomere Length in Midlife African American Women: Interactions of Educational Attainment and Employment Status.

BACKGROUND: Over the life course, African American (AA) women have faster telomere attrition, a biological indicator of accelerated aging, than White women. Race, sex, age, and composite socioeconomic status (SES) modify associations of institutional racial discrimination and telomere length. However, interactions with everyday racial discrimination have not been detected in AA women, nor have interactions with individual socioeconomic predictors. PURPOSE: We estimated statistical interaction of institutional and everyday racial discrimination with age, education, employment, poverty, and composite SES on telomere length among midlife AA women. METHODS: Data are from a cross-section of 140 AA women aged 30-50 years residing in the San Francisco Bay Area. Participants completed questionnaires, computer-assisted self-interviews, physical examinations, and blood draws. Adjusted linear regression estimated bootstrapped racial discrimination-relative telomere length associations with interaction terms. RESULTS: Racial discrimination did not interact with age, poverty, or composite SES measures to modify associations with telomere length. Interactions between independent SES variables were nonsignificant for everyday discrimination whereas institutional discrimination interacted with educational attainment and employment status to modify telomere length. After adjusting for covariates, we found that higher institutional discrimination was associated with shorter telomeres among employed women with lower education (ß = -0.020; 95% confidence interval = -0.036, -0.003). Among unemployed women with higher education, higher institutional discrimination was associated with longer telomeres (ß = 0.017; 95% confidence interval = 0.003, 0.032). Factors related to having a post-high school education may be protective against the negative effects of institutional racism on cellular aging for AA women.

Relative Roles of Race Versus Socioeconomic Position in Studies of Health Inequalities: A Matter of Interpretation.

An abundance of research has documented health inequalities by race and socioeconomic position (SEP) in the United States. However, conceptual and methodological challenges complicate the interpretation of study findings, thereby limiting progress in understanding health inequalities and in achieving health equity. Fundamental to these challenges is a lack of clarity about what race is and the implications of that ambiguity for scientific inquiry. Additionally, there is wide variability in how SEP is conceptualized and measured, resulting in a lack of comparability across studies and significant misclassification of risk. The objectives of this review are to synthesize the literature regarding common approaches to examining race and SEP health inequalities and to discuss the conceptual and methodological challenges associated with how race and SEP have been employed in public health research. Addressing health inequalities has become increasingly important as the United States trends toward becoming a majority-minority nation. Recommendations for future research are presented.

Associations of Everyday and Lifetime Experiences of Discrimination With Willingness to Undergo Alzheimer Disease Predictive Testing.

BACKGROUND AND OBJECTIVES: Rapid developments in Alzheimer disease (AD) biomarker research suggest that predictive testing may become widely available. To ensure equal access to AD predictive testing, it is important to understand factors that affect testing interest. Discrimination may influence attitudes toward AD testing, particularly among racially and ethnically minoritized populations, because of structural racism in health care systems. This study examined whether everyday or lifetime discrimination experiences shape interest in AD predictive testing. METHODS: In the 2010 and 2012 biennial Health and Retirement Study waves, respondents were randomly selected to complete questions on interest in receiving free testing that could determine whether they would develop AD in the future. The exposures were everyday discrimination (6 items) and lifetime discrimination (7 items); both were transformed into a binary variable. Logistic regression models predicting interest in AD testing were controlled for deciles of propensity scores for each discrimination measure. Odds ratios were re-expressed as risk differences (RDs). RESULTS: Our analytic sample included 1,499 respondents. The mean age was 67 (SD = 10.2) years, 57.4% were women, 65.7% were White, and 80% endorsed interest in AD predictive testing. Most of the participants (54.7%) experienced everyday discrimination in at least one domain; 24.1% experienced major lifetime discrimination in at least one domain. Those interested in predictive testing were younger (66 vs 70 years) and more likely to be Black (20% vs 15%) or Latinx (14% vs 8%) than participants uninterested in testing. The probability of wanting an AD test was not associated with discrimination for Black (RD everyday discrimination = -0.026; 95% CI [-0.081 to 0.029]; RD lifetime discrimination = -0.012; 95% CI [-0.085 to 0.063]) or Latinx (RD everyday discrimination = -0.023, 95% CI [-0.082 to 0.039]; RD lifetime discrimination = -0.011; 95% CI [-0.087 to 0.064]) participants. DISCUSSION: Despite historical and contemporary experiences of discrimination, Black and Latinx individuals express interest in AD testing. However, Black and Latinx individuals remain underrepresented in AD research, including research on AD testing. Interest in personalized information about dementia risk may be a pathway to enhance their inclusion in research and clinical trials.

Characteristics and Trends in HIV Testing Among Medicaid Enrollees Diagnosed as Having Schizophrenia.

OBJECTIVE: People with schizophrenia have more HIV risk factors and higher rates of HIV infection than the general U.S. population. The authors aimed to examine HIV testing patterns in this population nationally and by demographic characteristics and presence of high-risk comorbid conditions. METHODS: This retrospective longitudinal study compared HIV testing between Medicaid-only enrollees with schizophrenia and without schizophrenia during 2002-2012 (N=6,849,351). Interrupted time series were used to analyze the impacts of the 2006 federal policy change recommending expanded HIV testing. Among enrollees with schizophrenia, multivariable logistic regression was used to estimate associations between testing and both demographic characteristics and comorbid conditions. Sensitivity analyses were also conducted. RESULTS: Enrollees diagnosed as having schizophrenia had consistently higher HIV testing rates than those without schizophrenia. When those with comorbid substance use disorders or sexually transmitted infections were excluded, testing was higher for individuals without schizophrenia (p<0.001). The federal policy change likely increased testing for both groups (p<0.001), but the net change was greater for those without schizophrenia (3.1 vs. 2.2 percentage points). Among enrollees with schizophrenia, testing rates doubled during 2002-2012 (3.9% to 7.2%), varied across states (range 17 percentage points), and tripled for those with at least one annual nonpsychiatric medical visit (vs. no visit; adjusted OR=3.10, 95% CI=2.99-3.22). CONCLUSIONS: Nationally, <10% of enrollees with schizophrenia had annual HIV testing. Increases appear to be driven by high-risk comorbid conditions and nonpsychiatric encounters, rather than by efforts to target people with schizophrenia. Psychiatric guidelines for schizophrenia care should consider HIV testing alongside annual metabolic screening.

Examining the Impact of State-Level Factors on HIV Testing for Medicaid Enrollees With Schizophrenia.

BACKGROUND: People with schizophrenia experience unique barriers to routine HIV testing, despite increased risk of HIV compared with the general US population. Little is known about how health care delivery system factors affect testing rates or whether there are testing differences for people with schizophrenia. SETTING: Nationally representative sample of Medicaid enrollees with and without schizophrenia. METHODS: Using retrospective longitudinal data, we examined whether state-level factors were associated with differences in HIV testing among Medicaid enrollees with schizophrenia compared with frequency-matched controls during 2002-2012. Multivariable logistic regression estimated testing rate differences between and within cohorts. RESULTS: Higher HIV testing rates for enrollees with schizophrenia were associated with higher state-level Medicaid spending per enrollee, efforts to reduce Medicaid fragmentation, and higher federal prevention funding. State-level AIDS epidemiology predicted more frequent HIV testing for enrollees with schizophrenia versus controls. Living in rural settings predicted lower HIV testing, especially for people with schizophrenia. CONCLUSION: Overall, state-level predictors of HIV testing rates varied among Medicaid enrollees, although rates were generally higher for those with schizophrenia than controls. Increased HIV testing for people with schizophrenia was associated with coverage of HIV testing when medically necessary, higher Centers for Disease Control and Prevention prevention funding, and higher AIDS incidence, prevalence, and mortality when compared with controls. This analysis suggests that state policymaking has an important role to play in advancing that effort. Overcoming fragmented care systems, sustaining robust prevention funding, and consolidating funding streams in innovative and flexible ways to support more comprehensive systems of care delivery deserve attention.

Hepatitis C Screening Among Medicaid Patients With Schizophrenia, 2002-2012.

OBJECTIVE: Although people with schizophrenia are disproportionately affected by Hepatitis C virus (HCV) compared to the general population, HCV screening among US Medicaid recipients with schizophrenia has not been characterized. Following 1998 CDC recommendations for screening in high-risk populations, we estimated the proportion of Medicaid recipients with and without schizophrenia screened for HCV across states and over time. Examining patterns of screening will inform the current public health imperative to test all adults for HCV now that safer and more effective treatments are available. METHODS: Data are drawn from 1 353 424 Medicaid recipients aged 15-64 years with schizophrenia and frequency-matched controls from 2002 to 2012. Participants with known HCV infection one year prior and those dual-eligible for Medicare were excluded. Multivariable logistic regression estimated associations between predictor variables and HCV screening. RESULTS: HCV screening was low (<4%) but increased over time. Individuals with schizophrenia consistently showed higher screening compared to controls across years and states. Several demographic and clinical characteristics predicted higher screening, especially comorbid HIV (OR = 6.5; 95% CI = 6.0-7.0). Outpatient medical care utilization increased screening by nearly double in 2002 (OR = 1.8; CI = 1.7-1.9) and almost triple in 2012 (OR = 2.7; CI = 2.6-2.9). CONCLUSIONS: Low screening was a missed opportunity to improve HCV prevention efforts and reduce liver-related mortality among people with schizophrenia. Greater COVID-19 disease severity in HCV patients and the availability of effective HCV treatments increase the urgency to improve HCV screening. Eliminating Medicaid restrictions and expanding statewide HIV policies to include HCV would have multiple public health benefits, particularly for people with schizophrenia.

Occupation and Educational Attainment Characteristics Associated With COVID-19 Mortality by Race and Ethnicity in California.

Importance: Racial and ethnic inequities in COVID-19 mortality may be driven by occupation and education, but limited evidence has assessed these mechanisms. Objective: To estimate whether occupational characteristics or educational attainment explained the associations between race and ethnicity and COVID-19 mortality. Design, Setting, and Participants: This population-based retrospective cohort study of Californians aged 18 to 65 years linked COVID-19 deaths to population estimates within strata defined by race and ethnicity, gender, age, nativity in the US, region of residence, education, and occupation. Analysis was conducted from September 2020 to February 2022. Exposures: Education and occupational characteristics associated with COVID-19 exposure (essential sector, telework option, wages). Main Outcomes and Measures: All confirmed COVID-19 deaths in California through February 12, 2021. The study estimated what COVID-19 mortality would have been if each racial and ethnic group had (1) the COVID-19 mortality risk associated with the education and occupation distribution of White people and (2) the COVID-19 mortality risk associated with the lowest-risk educational and occupational positions. Results: Of 25 235 092 participants (mean [SD] age, 40 [14] years; 12 730 395 [50%] men), 14 783 died of COVID-19, 8 125 565 (32%) had a Bachelor's degree or higher, 13 345 829 (53%) worked in essential sectors, 11 783 017 (47%) could not telework, and 12 812 095 (51%) had annual wages under $51 700. COVID-19 mortality ranged from 15 deaths per 100 000 for White women and Asian women to 139 deaths per 100 000 for Latinx men. Accounting for differences in age, nativity, and region of residence, if all races and ethnicities had the COVID-19 mortality associated with the occupational characteristics of White people (sector, telework, wages), COVID-19 mortality would be reduced by 10% (95% CI, 6% to 14%) for Latinx men, but increased by 5% (95% CI, -8% to 17%) for Black men. If all working-age Californians had the COVID-19 mortality associated with the lowest-risk educational and occupational position (Bachelor's degree, nonessential, telework, and highest wage quintile), there would have been 43% fewer COVID-19 deaths among working-age adults (8441 fewer deaths; 95% CI, 32%-54%), with the largest absolute risk reductions for Latinx men (3755 deaths averted; 95% CI, 3304-4255 deaths) and Latinx women (2329 deaths averted; 95% CI, 2038-2621 deaths). Conclusions and Relevance: In this population-based cohort study of working-age California adults, occupational disadvantage was associated with excess COVID-19 mortality for Latinx men. For all racial and ethnic groups, excess risk associated with low-education, essential, on-site, and low-wage jobs accounted for a substantial fraction of COVID-19 mortality.

A descriptive analysis of 2020 California Occupational Safety and Health Administration covid-19-related complaints.

COVID-19 mortality has disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred, and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.

Superwoman Schema, Racial Identity, and Cellular Aging Among African American Women.

BACKGROUND AND OBJECTIVES: African American women experience faster telomere shortening (i.e., cellular aging) compared with other racial-gender groups. Prior research demonstrates that race and gender interact to influence culturally specific norms for responding to socially-relevant stress and other stress-coping processes, which may affect healthy aging. RESEARCH DESIGN AND METHODS: Data are from African American Women's Heart & Health Study participants who consented to DNA extraction (n = 140). Superwoman Schema (SWS) was measured using 5 validated subscales: presenting strength, emotion suppression, resisting vulnerability, motivation to succeed, and obligation to help others. Racial identity was measured using 3 subscales from the Multidimensional Inventory of Black Identity: racial centrality, private regard, and public regard. Relative telomere length (rTL) was measured using DNA extracted from blood samples. Path analysis tested associations and interactions between SWS and racial identity dimensions with rTL. RESULTS: For SWS, higher resistance to being vulnerable predicted longer telomeres. For racial identity, high private regard predicted longer telomeres while high public regard predicted shorter telomeres. Interactions were found between public regard and 2 SWS dimensions: among women with high public regard, emotion suppression (ß = 0.20, p < .05) and motivation to succeed (ß = 0.18, p < .05) were associated with longer rTL. The interaction between high centrality and emotion suppression predicted shorter rTL (ß = -0.17, p < .05). DISCUSSION AND IMPLICATIONS: Culturally specific responses to gendered racism and racial identity, developed early in life and shaped over the life course, are important psychosocial determinants of cellular aging among African American women.

Lessons Learned From a New Reverse-Integration Model to Improve Primary Care Screening in Community Mental Health Settings.

The authors sought to describe a reverse-integration intervention aimed at improving preventive health screening in a community mental health clinic. The intervention, CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness), integrated primary care services into a large urban community mental health setting. It was implemented in 2015 and included a patient-centered team, population-based care, emphasis on screening, and evidence-based treatment. CRANIUM's strengths included provider acceptability, a patient-centered approach, sustained patient engagement, and economic feasibility. Challenges included underutilized staff, registry maintenance, and unanticipated screening barriers. The CRANIUM reverse-integration model can be feasibly implemented and was acceptable to providers.

Black and unarmed: statistical interaction between age, perceived mental illness, and geographic region among males fatally shot by police using case-only design.

PURPOSE: We examine whether the race and armed status interact to modify the risk of being fatally shot by police within categories of civilian age and mental illness status, and U.S. region. METHODS: Data are from The Washington Post online public-use database of all U.S. police-involved shooting deaths. The sample includes black and white males with known armed status who were killed from 1/1/2015 through 12/31/2019 (n = 3090). A case-only design is used to assess multiplicative interaction using adjusted logistic regression. RESULTS: The fully adjusted interaction estimate is null (SOR = 0.75; 95% confidence interval [CI] = 0.55-1.04). However, adjusted estimates within strata show that the risk of being armed versus unarmed when fatally shot is smaller for black than white males older than 54 years (SOR = 0.18; 95% CI = 0.06-0.65), those showing mental illness signs (SOR = 0.50; 95% CI = 0.26-0.98), and those killed in the South (SOR = 0.52; 95% CI = 0.33-0.83), and that the risk is greater in the Midwest (SOR = 2.42; 95% CI = 1.11-5.26). Notably, there is no black-white difference in armed status among younger age groups (SOR≈0.89). CONCLUSION: The race and armed status may interact leaving black males at a higher risk of being unarmed than white males when fatally shot by police among those older than 54 years, mentally impaired, and residing in the South. Causal interaction suggests a lower risk for unarmed blacks in the Midwest. Researchers should further explore the utility of the case-only design to study social-environmental interaction.

US law enforcement policy predictors of race-specific police fatalities during 2015-16.

Mounting evidence suggests that law enforcement organizational factors contribute to higher incidence and racial disparities in police killings. To determine whether agency policies contribute to race-specific civilian fatalities, this exploratory study compared fatality rates among agencies with and without selected policies expected to reduce killings. A cross-section of 1085 fatalities in the 2015-2016 The Counted public-use database were matched to 481 agencies in the 2013 Law Enforcement Management and Administrative Statistics (LEMAS) database. Negative binomial regression estimated incidence rate ratios (IRR) adjusted for agency type, number of officers, percent female personnel, median income, percent with a bachelor's degree, violent crime rate, and population size, with inference using robust standard errors. Agencies with greater proportions of full-time personnel (range 43-100%) had lower rates of all (IRR = 0.85; 95% confidence interval [CI] = 0.77-0.93) and non-White civilian killings (IRR = 0.85; CI = 0.73-0.99). Mission statements predicted lower rates of all (IRR = 0.70; CI = 0.58-0.84) and White killings (IRR = 0.60; CI = 0.40-0.90). Community evaluation and more types of personnel incentives predicted lower rates of White (IRR = 0.82; CI = 0.68-0.99) and non-White killings (IRR = 0.94; CI = 0.89-1.00), respectively. Increasing video use predicted higher rates of White killings (IRR = 1.13; CI = 1.01-1.28). No policies were significantly associated with Black civilian killings. Law enforcement policies that help reduce police killings may vary across racial groups with the least benefit for Black civilians. Impact evaluations and meta-analyses of initiatives aimed to mitigate fatalities should be explored, particularly policies to address anti-Black bias. A national registry tracking all police killings and agency policies is urgently needed to inform law enforcement policies aimed to mitigate civilian fatalities.

Geospatial Distributions of Lead Levels Found in Human Hair and Preterm Birth in San Francisco Neighborhoods.

In San Francisco (SF), many environmental factors drive the unequal burden of preterm birth outcomes for communities of color. Here, we examine the association between human exposure to lead (Pb) and preterm birth (PTB) in 19 racially diverse SF zip codes. Pb concentrations were measured in 109 hair samples donated by 72 salons and barbershops in 2018-2019. Multi-method data collection included randomly selecting hair salons stratified by zip code, administering demographic surveys, and measuring Pb in hair samples as a biomarker of environmental exposure to heavy metals. Concentrations of Pb were measured by atomic emission spectrometry. Aggregate neighborhood Pb levels were linked to PTB and demographic data using STATA 16 SE (StataCorp LLC, College Station, TX, USA). Pb varied by zip code (p < 0.001) and correlated with PTB (p < 0.01). Increases in unadjusted Pb concentration predicted an increase in PTB (ß = 0.003; p < 0.001) and after adjusting for poverty (ß = 0.002; p < 0.001). Confidence intervals contained the null after further adjustment for African American/Black population density (p = 0.16), suggesting that race is more indicative of high rates of PTB than poverty. In conclusion, Pb was found in every hair sample collected from SF neighborhoods. The highest concentrations were found in predominately African American/Black and high poverty neighborhoods, necessitating public health guidelines to eliminate this environmental injustice.

A descriptive analysis of 2020 California Occupational Safety and Health Administration COVID-19-related complaints.

COVID-19 mortality disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7,820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.

Whites' County-Level Racial Bias, COVID-19 Rates, and Racial Inequities in the United States.

Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times, we used adjusted linear regressions to estimate overall COVID-19 incidence and mortality rates through 01 July 2020, Black and White incidence rates through 28 May 2020, and Black-White incidence rate gaps on average area-level implicit and explicit racial bias. Across 2994 counties, the average COVID-19 mortality rate (standard deviation) was 1.7/10,000 people (3.3) and average cumulative COVID-19 incidence rate was 52.1/10,000 (77.2). Higher racial bias was associated with higher overall mortality rates (per 1 standard deviation higher implicit bias b = 0.65/10,000 (95% confidence interval: 0.39, 0.91); explicit bias b = 0.49/10,000 (0.27, 0.70)) and higher overall incidence (implicit bias b = 8.42/10,000 (4.64, 12.20); explicit bias b = 8.83/10,000 (5.32, 12.35)). In 957 counties with race-specific data, higher racial bias predicted higher White and Black incidence rates, and larger Black-White incidence rate gaps. Anti-Black bias among Whites predicts worse COVID-19 outcomes and greater inequities. Area-level interventions may ameliorate health inequities.