Journal of Racial and Ethnic Health Disparities最新文献

Disparities in autism research and practices based on race and ethnicity are evident across many outcomes and life course stages. However, most of the research has focused on outlining differences and not the underlying systemic inequities driving these disparities. In this conceptual paper, we aim to shift the focus by outlining mechanisms of structural racism within the institutions of science, healthcare, and residential segregation and educational systems in the United States (U.S.). We argue that these and other forms of institutional racism constitute structural racism that are influencing the racial and ethnic disparities we see in autism services and care. For each of these institutions, we identify institutional racism related to autism and offer an example of how it shapes interpersonal racism and adverse outcomes, including misdiagnosis, delayed diagnosis, unequal access to educational services, and differential treatment in clinical encounters. We then provide anti-racism approaches in autism research and practice for each of these institutions that addresses institutional and interpersonal racism shaping autism inequities among racial and ethnic minorities. We conclude with a call to action to clinicians, researchers, and others to prioritize and disrupt the impacts of structural, institutional, and interpersonal racism through targeted anti-racism approaches.

Background: Increased mortality in rural southern areas has persisted and worsened among older Black adults due to high prevalence of chronic conditions combined with limited healthcare access resulting from social and structural factors.

Objective: Our objective was to examine the relationship between general health perceptions, social functioning, mental health, and demographic characteristics among Black adults living in the rural south.

Methods: This cross-sectional study examined health perceptions in older Black Americans residing in four rural towns within Alabama (Clayton, Fort Deposit, Hobson City, and York). Participants completed a self-report survey exploring general health, social functioning, mental health, and demographic characteristics. Linear regression was used to examine the relationship between these variables and the primary outcome of general health.

Results: The average age of participants (N = 119) was 64.8 years (SD = 9.4). Social functioning, depressive symptoms, age group, and town of residence were all significantly associated with general health (p < 0.05). A one unit increase in social functioning was associated with a .28 unit increase in general health scores, p = 0.002. General health scores decreased by 19.4 units for participants reporting depressive symptoms (p < 0.0001) and by 9.8 units for those aged 65 and older (p = 0.003).

Conclusion: These findings support the need for targeted health resources in rural communities based on population needs and replicates prior studies that have shown increases in social networks may help improve physical and emotional health among the aging adult population.

Introduction: As artificial intelligence (AI) continues to permeate various sectors, concerns about disparities arising from its deployment have surfaced. AI's effectiveness correlates not only with the algorithm's quality but also with its training data's integrity. This systematic review investigates the racial disparities perpetuated by AI systems across diverse medical domains and the implications of deploying them, particularly in healthcare.

Methods: Six electronic databases (PubMed, Scopus, IEEE, Google Scholar, EMBASE, and Cochrane) were systematically searched on October 3, 2023. Inclusion criteria were peer-reviewed articles in English from 2013 to 2023 that examined instances of racial bias perpetuated by AI in healthcare. Studies conducted outside of healthcare settings or that addressed biases other than racial, as well as letters, opinions were excluded. The risk of bias was identified using CASP criteria for reviews and the Modified Newcastle Scale for observational studies.

Results: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 1272 articles were initially identified, from which 26 met eligibility criteria. Four articles were identified via snowballing, resulting in 30 articles in the analysis. Studies indicate a significant association between AI utilization and the exacerbation of racial disparities, especially in minority populations, including Blacks and Hispanics. Biased data, algorithm design, unfair deployment of algorithms, and historic/systemic inequities were identified as the causes. Study limitations stem from heterogeneity impeding broad comparisons and the preclusion of meta-analysis.

Conclusion: To address racial disparities in healthcare outcomes, enhanced ethical considerations and regulatory frameworks are needed in AI healthcare applications. Comprehensive bias detection tools and mitigation strategies, coupled with active supervision by physicians, are essential to ensure AI becomes a tool for reducing racial disparities in healthcare outcomes.

Objective: The purpose of this review was to identify relationships between social determinants of mental health service utilization and outcomes among Asian American cancer survivors in the United States (U.S.).

Methods: We performed a systematic literature search in PubMed, PsycINFO, CINAHL, and Embase for peer-reviewed studies between January 2000 and May 2024. Based on the Healthy People 2023 framework, social determinants of health (SDOH) were categorized into five SDOH domains. We extracted data using a table of evidence, and we assessed study quality using the Johns Hopkins Evidence-Based Practice.

Results: Ten non-experimental studies, with either "High" or "Good" quality, met eligibility criteria. Two examined mental health service utilization, and nine reported mental health outcomes. Seventy percent of the studies recruited samples from the health systems. The rest were from community settings. Seventy percent included the Asian American subgroup, mainly Chinese Americans. Higher education, English proficiency, more years residing in the U.S., and having social support correlated with better psychological quality of life. Higher-income and education levels were associated with more psychotropic medication use. However, zip code levels were used to estimate actual income and education.

Conclusion: We identified significant SDOH factors that influenced mental health outcomes among Asian American cancer survivors. More research is needed to understand the social determinants of mental health service utilization barriers in this population. Allocating more funding to health research tailored to Asian American cancer survivors, along with data disaggregation, standardizing socioeconomic status measures, and diversifying sampling sources, is essential to enhancing their mental health outcomes.

Objective: Black individuals carry the greatest burden of maternal mortality, with hypertensive disorders during pregnancy being a significant driving force to this disparity. However, research on maternal health disparities predominantly groups Hispanic Black individuals with all other individuals of Hispanic ethnicity. We hypothesized that this aggregation might obscure the risk patterns of hypertensive disorders in pregnancy for Hispanic-Black and non-Hispanic Black individuals.

Methods: We analyzed a California statewide dataset of vital records linked to hospitalization discharge data for births from 2007 to 2018. Using multivariable logistic regression models adjusted for age, pre-pregnancy BMI, parity, smoking status, diabetes, and chronic renal disease, we compared the odds of hypertensive disorders in pregnancy between Hispanic Black, non-Hispanic Black, and non-Black Hispanic racial-ethnic groups. Hypertensive disorders were categorized into two groups: (1) any hypertensive disorder and (2) chronic hypertension alone, non-severe hypertensive disorders, and severe hypertensive disorders in pregnancy.

Results: Non-Hispanic Black people had 75% increased odds of developing a hypertensive disorder during pregnancy (adjusted odds ratio (aOR); 95% confidence interval (CI): 1.74, 1.78) and Hispanic-Black individuals had a 31% increased odds (95% CI: 1.24, 1.38) as compared with non-Black Hispanic individuals. When considering hypertensive disorders separately, the race-associated differences were largest for chronic hypertension alone, with non-Hispanic Black individuals showing an aOR of 2.35 (95% CI: 2.32, 2.38) and Hispanic-Black individuals an aOR of 1.80 (95% CI: 1.66, 1.95).

Conclusion: Compared with non-Black Hispanic individuals, the prevalence of hypertensive disorders in pregnancy was higher in Black-Hispanic individuals and highest in non-Hispanic Black individuals. Racial/ethnic differences were larger for chronic hypertension alone than for preeclampsia.

Racialized stress disproportionately impacts Black individuals and confers increased risk for psychological distress and executive dysfunction. However, there is little evidence on psychological distress' association with cognitive flexibility (CF), an executive function theorized to be a neurocognitive resilience factor, as it is shown to reflect the ability to adapt thoughts/behaviors to changing environmental stimuli. As such, we aimed to examine the relation between racialized stress and psychological distress and the potential buffering effects of CF. Data were drawn from The Family Life Project and included 372 Black mothers from rural households experiencing poverty. Mothers completed a battery of questionnaires to assess sociodemographics, experiences with racialized stress (RRSE), psychological distress (CES-D), and their cognitive flexibility (WCST-64). Results evidenced a significant association between psychological distress and racialized stress, such that mothers who reported higher racialized stress reported higher psychological distress; this relation remained significant after controlling for a host of sociodemographic risk factors. CF did not emerge as a significant moderator of the relation between psychological distress and racialized stress. Findings highlight the potential deleterious effects of racialized stress on psychological distress. There may be unique facets of racialized stress that differentially impact the risk for psychological distress, and CF potentially buffers this relation. Further investigations are needed to understand the underlying mechanisms that may confer resilience to psychological distress amongst Black mothers.

Aims: To investigate the impact of low socioeconomic status (SES) and/or membership in ethnic minority has on HbA1c before and during the COVID-19 lockdown.

Methods: A retrospective cohort study was conducted between March 2019 and March 2021, based on data from electronic medical records of 17,072 patients with type-2 diabetes, collected by Clalit (Israel's largest health maintenance organization). Low SES was compared to high and ethnic minorities (Arabs and ultra-Orthodox Jews) were compared to the general Israeli population of mostly Jewish, but not ultra-Orthodox, Israeli citizens. Quantile regressions were used to examine the impact of SES and ethnic minority membership on HbA1c levels in the 0.10, 0.25, 0.50, 0.75, 0.90 quantiles before and during the lockdown.

Results: In the pre-lockdown period, patients with type-2 diabetes of low versus high SES, and Arabs versus the general population, had higher HbA1c. During the lockdown HbA1c levels of low versus high SES rose significantly in the 0.10 and 0.90 quantiles, and among Arabs HbA1c levels rose significantly across all quantiles, with a remarkable increment in the 0.90 quantile (from 0.316% in the pre-lockdown period to 0.730% in the lockdown period). Ultra-Orthodox Jewish diabetic patients had a marginally higher mean HbA1C level regardless of the period. Quantile regressions did not reveal a significant difference between the ultra-Orthodox Jewish and the general population.

Conclusion: The lockdown exacerbated disparities in glycemic control between low and high SES individuals and between Arab minority and the general population.

Objectives: Racial and ethnic differences in long-term outcomes associated with medications for opioid use disorder (MOUD) are poorly understood.

Methods: The present analyses were based on 751 participants with opioid use disorder (OUD) who were initially recruited from opioid treatment programs located in California, Connecticut, Oregon, Pennsylvania, and Washington and participated in a randomized controlled trial and at least one follow-up interview. 9.6% (n = 72) of the participants self-identified as Non-Hispanic (NH) Black, 16.0% (n = 120) Hispanic, and 74.4% (n = 559) NH White. We tested racial and ethnic differences in psychiatric or social functioning, substance use and treatment participation.

Results: From the baseline to the end of follow-up interview, compared with NH White, Hispanic participants had a significantly greater proportion of months reporting any opioid use (45.5% vs. 32.5%, p < 0.001) and a smaller proportion of months receiving any MOUD (47.7% vs. 58.1%; p < 0.05), particularly receipt of buprenorphine treatment (8.3% vs. 14.9%; p < 0.01). At the third follow-up interview, data from the Addiction Severity Index (ASI) indicated that Hispanic participants had greater severity in employment problems (0.72 vs. 0.58; p < 0.001), while Black participants had less severity in drug problems (0.11 vs. 0.16; p < 0.05) compared to NH Whites.

Conclusions: The study found that Hispanic participants had higher rates of opioid use (heroin and prescription opioids), but few received MOUD (buprenorphine and methadone) during the follow-up period, which suggests that effective strategies are needed to increase access to MOUD among Hispanics. Additionally, addressing employment challenges might also help improve long-term outcomes for all populations with OUD.

Recent research shows a significant link between race-ethnicity and income concentration and premature death rates in the U.S. However, most studies focus on Black-White residential concentration, overlooking racial-ethnic diversity. Our study examines the impact of racial-ethnic majority composition on mortality and how this relationship varies across different levels of economic concentration in neighborhoods, as defined by census tracts. Premature death rates (under 65 years of age) were retrieved from abridged period life tables from 67,140 U.S. census tracts derived from the U.S. Small-area Life Expectancy Project. Covariate factors were retrieved from the 2011-2015 American Community Survey (ACS) 5-year estimates. We measured racial-ethnic concentration by grouping neighborhoods using each tract's majority racial-ethnic group, and approximated income concentration using the Index of Concentration of the Extremes. We used three-level random intercept models to examine the interaction of racial-ethnic and income concentration and its association with neighborhood mortality risk, accounting for covariates. Our study yielded three salient findings. First, mortality risk varied greatly in poor neighborhoods with different racial-ethnic compositions compared to affluent neighborhoods, with notable higher risk in Black-majority areas. Second, in diverse neighborhoods where no single ethnic group forms a majority-referred to as Minority-majority neighborhoods-the mortality risk is comparable to that in White-majority neighborhoods. Third, Hispanic/Latino- and Asian-majority neighborhoods had lower mortality risk than White-majority neighborhoods in areas with a high concentration of poverty, but similar mortality risk in affluent areas. The study suggests that racial-ethnic and socioeconomic area-based measures are important to consider together to address mortality inequities accurately.

This study analyzes the relationship between anticipatory community and police violence and health outcomes including mental and physical well-being, sleep problems, and functional disability. Using data from a nationally representative survey of 3015 self-identified Black and African American adults in the USA collected in 2023, findings from a series of regression analyses reveal that anticipating community violence is linked to poorer self-rated health and increased sleep problems. Anticipatory police violence is associated with poorer physical health and sleep disturbances. These associations persist even after accounting for previous experiences of violence. The results underscore the potential health consequences of anticipating violence, suggesting that the fear of personal victimization can adversely influence health. Addressing anticipatory violence through trauma-informed public health policies and practices is critical for improving health outcomes and reducing disparities in violence-exposed communities. Future research should explore longitudinal impacts and extend analyses to additional racial groups and health outcomes.