Our objective was to determine whether Child Opportunity Index (COI), a measure of neighborhood socioeconomic and built environment specific to children, mediated the relationship of census tract Black or Hispanic predominance with increased rates of census tract violence-related mortality. The hypothesis was that COI would partially mediate the relationship. This cross-sectional study combined data from the American Community Survey 5-year estimates, the COI 2.0, and the Illinois Violent Death Reporting System 2015-2019 for the City of Chicago. Individuals ages 0-19 years were included. The primary exposure was census tract Black, Hispanic, White, and other race predominance (> 50% of population). The primary outcome was census tract violence-related mortality. A mediation analysis was performed to evaluate the role of COI as a potential mediator. Multivariable logistic regression modeling census tract violence-related mortality demonstrated a direct effect of census tract Black predominance (adjusted odds ratio [aOR] 2.59, 95% confidence interval [CI] 1.30-5.14) on violence-related mortality compared to White predominance. There was no association of census tract Hispanic predominance with violence-related mortality compared to White predominance (aOR 1.57, 95% CI 0.88-2.84). Approximately 64.9% (95% CI 60.2-80.0%) of the effect of census tract Black predominance and 67.9% (95% CI 61.2-200%) of the effect of census tract Hispanic predominance on violence-related mortality was indirect via COI. COI partially mediated the effect of census tract Black and Hispanic predominance on census tract violence-related mortality. Interventions that target neighborhood social and economic factors should be considered to reduce violence-related mortality among children and adolescents.

Despite legal protections guaranteeing care for patients with trauma, disparities exist in patient outcomes. We review disparities in patient management and outcomes related to insurance status, race and ethnicity, and gender for patients with trauma in the preadmission, in-hospital, and postdischarge settings. We highlight groups understudied and either underrepresented or unrepresented in national trauma databases-including American Indians/Alaska Natives, non-English preferred patients, and patients with disabilities. We call for more study of these groups and of upstream factors affecting the reviewed demographics to measure and improve outcomes for these vulnerable populations.

BACKGROUND: Unmet need for home and community-based services (HCBS) may disparately impact older adults from racial and ethnic minoritized groups. We examined racial and ethnic differences in unmet need for HCBS among consumers ≥65 years using publicly funded HCBS.
METHODS: We analyzed the National Core Indicators-Aging and Disability survey data (2015-2019) from 21,739 community-dwelling HCBS consumers aged ≥65 years in 23 participating states. Outcome measures included self-reported unmet need in six service types (i.e., personal care, homemaker/chore, delivered meals, adult day services, transportation, and caregiver support). Racial and ethnic groups included non-Hispanic Black, Asian, non-Hispanic White, Hispanic, and multiracial groups. Logistic regression models examined associations between race and ethnicity and unmet need, adjusting for sociodemographic, health, and HCBS program (i.e., Medicaid, Older Americans Act [OAA], Program for All-Inclusive Care for the Elderly [PACE]) characteristics, and use of specific service types.
RESULTS: Among 21,739 respondents, 23.3% were Black, 3.4% were Asian, 10.8% were Hispanic, 58.8% were non-Hispanic White, and 3.7% were multiracial or identified with other races/ethnicities. Asian and Black consumers had higher odds of reporting unmet need in personal care than White consumers (adjusted odds ratio [aOR], 1.45, p value < 0.01; and aOR, 1.25, p < 0.001, respectively). Asian and Black consumers had significantly higher odds of unmet need in adult day services versus White consumers (aOR, 1.94, p < 0.001 and aOR, 1.39, p < 0.001, respectively). Black consumers had higher odds of unmet need versus non-Hispanic White consumers in meal delivery and caregiver support services (aOR, 1.29; p < 0.01; and aOR 1.26, p < 0.05, respectively). Race and ethnicity were not significantly associated with experiencing unmet need for homemaker/chore or transportation services.
CONCLUSIONS: Future research should identify driving forces in disparities in unmet need to develop culturally appropriate solutions.

Industrial chemical pollution is released into surface water at a large scale annually in the United States. However, geographic variation and racial disparities in potential exposure are poorly understood at a national scale. Using county-level Risk-Screening Environmental Indicators data for 2011-2021 and American Community Survey data, this study analyzes the spatial and temporal distribution of health risk from modeled water releases using a Gamma hurdle model. Several racial disparities in presence of risk and amount of risk were identified, particular for Black or African American and Asian populations. At least 200 million U.S. residents live in a county where health risk from this pollution is present. Exposure reduction in high-risk areas may improve health for the broader population while also reducing inequities.

BACKGROUND: There are well-documented racial and ethnic disparities in mortality after cancer in the general population, but less is known about whether disparities also exist in disaster-exposed populations.
METHODS: We conducted a longitudinal cohort study of 4341 enrollees in the World Trade Center Health Registry (WTCHR) with a first-ever primary invasive cancer diagnosis after 9/11/2001 and followed through 2020. We examined associations of race and ethnicity with all-cause mortality risk and cause-specific mortality risk using multivariable Cox proportional hazards regression models and Fine and Gray\'s proportional sub-distribution hazards models, respectively. Models were adjusted for baseline characteristics and tumor characteristics. We also examined models further adjusted for socioeconomic status (SES), and we used inverse odds weighting to formally test for mediation by SES.
RESULTS: Compared to non-Hispanic White enrollees with cancer, non-Hispanic Blacks had higher risks for all-cause mortality (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.02-1.41) and non-cancer mortality (aHR = 1.48, 95% CI = 1.09-2.01) in the full model. In the model without SES, Hispanic enrollees with cancer had higher risks for all-cause mortality (aHR = 1.32, 95% CI = 1.09-1.60) and cancer mortality (aHR = 1.31, 95% CI = 1.05-1.64) compared to non-Hispanic Whites; these associations became not statistically significant in the full model. In the inverse odds weighting analysis, SES explained 24% and 29% of the disparity in all-cause mortality risk observed in non-Hispanic Blacks and Hispanics, respectively, compared to non-Hispanic Whites.
CONCLUSIONS: This study found that there are racial and ethnic disparities in mortality after cancer in the WTCHR. Additional studies are needed to further explore the factors mediating these disparities.

暂无摘要。

Recent calls to address racism in bioethics reflect a sense of urgency to mitigate the lethal effects of a lack of action. While the field was catalyzed largely in response to pivotal events deeply rooted in racism and other structures of oppression embedded in research and health care, it has failed to center racial justice in its scholarship, pedagogy, advocacy, and practice, and neglected to integrate anti-racism as a central consideration. Academic bioethics programs play a key role in determining the field\'s norms and practices, including methodologies, funding priorities, and professional networks that bear on equity, inclusion, and epistemic justice. This article describes recommendations from the Racial Equity, Diversity, and Inclusion (REDI) Task Force commissioned by the Association of Bioethics Program Directors to prioritize and strengthen anti-racist practices in bioethics programmatic endeavors and to evaluate and develop specific goals to advance REDI.

BACKGROUND: Despite several theories suggesting online learning during the COVID-19 pandemic would aggravate ethnoracial disparities in mental health among adolescents, extant findings suggest no ethnoracial differences in mental health or that those from minoritized ethnoracial groups reported better mental health than their White counterparts.
OBJECTIVE: This study aimed to identify why findings from prior studies appear to not support that ethnoracial disparities in mental health were aggravated by testing 2 pathways. In pathway 1 pathway, online learning was associated with reporting fewer confidants, which in turn was associated with poorer mental health. In pathway 2, online learning was associated with reporting better sleep, which in turn was associated with better mental health.
METHODS: We analyzed survey data from a US sample (N=540) of 13- to 17-year-olds to estimate how school modality was associated with mental health via the 2 pathways. The sample was recruited from the AmeriSpeak Teen Panel during spring of 2021, with an oversample of Black and Latino respondents. Ethnoracial categories were Black, Latino, White, and other. Mental health was measured with the 4-item Patient Health Questionnaire, which assesses self-reported frequency of experiencing symptoms consistent with anxiety and depression. School modality was recorded as either fully online or with some in-person component (fully in-person or hybrid). We recorded self-reports of the number of confidants and quality of sleep. Covariates included additional demographics and access to high-speed internet. We estimated bivariate associations between ethnoracial group membership and both school modality and mental health. To test the pathways, we estimated a path model.
RESULTS: Black and Latino respondents were more likely to report being in fully online learning than their White counterparts (P<.001). Respondents in fully online learning reported fewer confidants than those with any in-person learning component (β=-.403; P=.001), and reporting fewer confidants was associated with an increased likelihood of reporting symptoms consistent with anxiety (β=-.121; P=.01) and depression (β=-.197; P<.001). Fully online learning respondents also reported fewer concerns of insufficient sleep than their in-person learning counterparts (β=-.162; P=.006), and reporting fewer concerns was associated with a decreased likelihood of reporting symptoms consistent with anxiety (β=.601; P<.001) and depression (β=.588; P<.001). Because of these countervailing pathways, the total effect of membership in a minoritized ethnoracial group on mental health was nonsignificant.
CONCLUSIONS: The findings compel more nuanced discussions about the consequences of online learning and theorizing about the pandemic\'s impact on minoritized ethnoracial groups. While online learning may be a detriment to social connections, it appears to benefit sleep. Interventions should foster social connections in online learning and improve sleep, such as implementing policies to enable later start times for classes. Future research should incorporate administrative data about school modality, rather than relying on self-reports.

BACKGROUND: CF-related diabetes (CFRD) is a common, life-expectancy limiting complication of CF. While Black race and Hispanic ethnicity in youth-onset type 1 and type 2 diabetes are well-recognized risk factors for worse diabetes complications, the potential for racial/ethnic disparities in CFRD has received limited attention.
METHODS: We conducted a retrospective cohort study utilizing the CF Foundation Patient Registry from 2010 to 2019 to determine the prevalence and incidence of CFRD by race/ethnicity. Three age cohorts were identified at baseline in 2010 (11-20y, 21-30y, and 31-40y). Logistic regression and Cox regression stratified by age group were used to determine the prevalence and incidence, respectively, among Hispanic, non-Hispanic Blacks (NHB), and non-Hispanic whites (NHW) after adjustment for relevant confounders, including demographics, socioeconomic status, clinical factors, and chronic medication use.
RESULTS: Among 14,660 registry participants, 510 were NHB and 890 Hispanic. NHB associated with higher odds of CFRD baseline prevalence in all age cohorts (11-20y: OR 2.53 (95 % CI: 1.88-3.41, P < 0.05), 21-30y: OR 1.80 (1.25-2.59, P < 0.05), and 31-40y: OR 1.93 (1.00-3.73, P < 0.05)) relative to NHW. In the 11-20y cohort, the hazard of new-onset CFRD was 40 % higher in NHB (HR 1.40 (1.09-1.8, P < 0.05)) and 19 % higher in Hispanics (HR 1.19 (1.01-1.41, P < 0.05)).
CONCLUSIONS: NHB had a higher prevalence of CFRD across all age groups, with NHB and Hispanics showing higher incidence of CFRD in the youngest group. Multicenter studies performed in diverse CF populations are warranted to identify modifiable factors influencing earlier CFRD development in minoritized groups and their potential contribution to diabetes complication disparities.

BACKGROUND: Routine alcohol screening of people with chronic health conditions that are exacerbated by alcohol can help to prevent morbidity and mortality. The U.S. Affordable Care Act and other recent health reforms expanded insurance coverage and supported alcohol screening in primary care. This study assessed increases in alcohol screening following health reform and insurance-related and racial and ethnic disparities in screening.
METHODS: Data are from the 2013 to 2019 National Surveys on Drug Use and Health for adults with alcohol-related chronic conditions who received primary care in the past year (N=46,014). The outcome was receipt of alcohol screening (yes/no) in which a healthcare provider inquired whether, how often, or how much the respondent drank, or about having alcohol-related problems. Multivariable logistic regression models assessed temporal changes in screening overall and by insurance type and race/ethnicity, adjusting for demographics, health conditions, and primary care utilization. Statistical analysis was performed in 2023.
RESULTS: Alcohol screening prevalence rose from 69% to 77% from 2013 through 2019, with a notable increase in 2014-2015 for both Medicaid-insured and privately-insured patients. Black and Asian American patients were generally less likely to be screened than White patients. Importantly, racial disparities in screening were found among privately-insured patients, patients with hypertension, patients with heart disease, and patients with diabetes who drink alcohol.
CONCLUSIONS: Alcohol screening of primary care patients with chronic conditions increased following health reform, but persistent disparities among patients with private insurance and specific chronic conditions underscore the need to address drivers of unequal preventive care.