Disparities in COVID-19-Related Mortality Among Older Adults With Alzheimer's Disease and Related Dementias: Variations Over Time.

Older adults with Alzheimer's disease and related dementias (ADRD) had a high risk of COVID-19-related mortality. Racial and ethnic minorities were disproportionally impacted by the pandemic. The variations in disparities, including racial and ethnic disparities and disparities across communities, in COVID-19-related mortality across the different stages of the COVID-19 pandemic among the ADRD population are unknown. This observational study estimated linear probability models for community-dwelling older adults with ADRD who were diagnosed with COVID-19 in 2020 and 2021 using multiple national data (e.g., Medicare data), accounting for individual and community characteristics. Disparities in 30-day mortality were compared between 2020 and 2021. The socioeconomic disparity in COVID-19-related mortality across communities became insignificant during the later stage of the pandemic, ethnic differences in COVID-19-related mortality decreased but persisted, and racial disparity remained largely unchanged. The study provides insights into interventions to mitigate lingering disparities in health outcomes among the vulnerable population.

Collaborative Care for Depression and Anxiety: Racial-Ethnic Differences in Treatment Engagement and Outcomes.

OBJECTIVE: This study aimed to examine racial-ethnic differences in engagement with and clinical outcomes of a collaborative care model (CoCM) implemented in primary care outpatient clinics in an urban academic medical center. METHODS: Adult patients (N=4,911) who screened positive for symptoms of depression, anxiety, or both on the Patient Health Questionnaire-9 or the Generalized Anxiety Disorder-7 scale and who identified as non-Hispanic Black, Hispanic, or non-Hispanic White were offered participation in a CoCM implementation. The primary outcome was treatment engagement, defined as receipt of any follow-up visit, minimally adequate 4-week follow-up (at least one visit), and minimally adequate 16-week follow-up (at least three visits) after initial assessment. Secondary outcomes were response and remission of depression or anxiety. RESULTS: After adjustment of analyses for sociodemographic covariates, Black and Hispanic participants were significantly less likely than White participants to have received any or minimally adequate follow-up. Black and Hispanic participants who received any or minimally adequate 16-week follow-up were more likely than White participants to demonstrate depression symptom response and remission of anxiety symptoms. CONCLUSIONS: This CoCM implementation appears to have been effective in treating depression and anxiety among Black and Hispanic patients. However, significant disparities in receipt of follow-up care were observed. Efforts must be made to improve the retention of patients from racial-ethnic minority groups in collaborative care.

Utilizing an Intersectional Approach to Examine Experiences of Hunger Among Adolescents During COVID-19: Considering Race/Ethnicity, Sexual Identity, and Employment Disparities in a Nationally Representative Sample.

PURPOSE: This study examines correlates of experiences of hunger among adolescents in the United States (U.S) by the intersectionality of race/ethnicity with sociodemographic characteristics (gender, sexual identity, and adolescent/parent job loss) with the aim of identifying subgroups most at risk for hunger during the COVID-19 pandemic. METHODS: This cross-sectional study uses nationally representative data from the Adolescent Behaviors and Experiences Survey (ABES) collected from January to June 2021. The analytic sample was high school students aged 14-17 with complete data (n = 6023). Descriptive statistics, bivariate, and multivariate logistic regression models were used to examine associations between sociodemographic factors and hunger (1-item measure) among adolescents during the pandemic for the analytic sample and stratified by race/ethnicity. RESULTS: The prevalence of hunger was 24.1% for the analytic sample and was highest among American Indian/Alaskan Native/Other Pacific Islander youth (37.2%), followed by non-Hispanic Black (31.8%) and Hispanic (28.4%) youth, and lowest among Non-Hispanic White youth (18.6%). In the analytic sample, there were significant differences in experiences of hunger by race/ethnicity, sexual identity, and adolescent/parent job loss during the pandemic (p < 0.05). When stratified by race/ethnicity, there were differential associations of hunger with sexual identity, and adolescent/parent job loss. CONCLUSIONS: These findings provide evidence of differential experiences of hunger during the pandemic among adolescents by sociodemographic factors. Results highlight the need for taking an intersectional approach when examining issues such as hunger. Future policies and programs should be mindful of factors associated with hunger and should prioritize using an equity-informed approach when engaging with multiply-marginalized adolescents.

Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND AND AIMS: Subclinical cardiovascular disease (CVD) measures may reflect biological pathways that contribute to increased risk for coronary heart disease (CHD) events, stroke, and dementia beyond conventional risk scores. METHODS: The Multi-Ethnic Study of Atherosclerosis (MESA) followed 6814 participants (45-84 years of age) from baseline in 2000-2002 to 2018 over 6 clinical examinations and annual follow-up interviews. MESA baseline subclinical CVD procedures included: seated and supineblood pressure, coronary calcium scan, radial artery tonometry, and carotid ultrasound. Baseline subclinical CVD measures were transformed into z-scores before factor analysis to derive composite factor scores. Time to clinical event for all-cause CVD, CHD, stroke and ICD code-based dementia events were modeled using Cox proportional hazards models reported as area under the curve (AUC) with 95% Confidence Intervals (95%CI) at 10 and 15 years of follow-up. All models included all factor scores together, and adjustment for conventional risk scores for global CVD, stroke, and dementia. RESULTS: After factor selection, 24 subclinical measures aggregated into four distinct factors representing: blood pressure, atherosclerosis, arteriosclerosis, and cardiac factors. Each factor significantly predicted time to CVD events and dementia at 10 and 15 years independent of each other and conventional risk scores. Subclinical vascular composites of atherosclerosis and arteriosclerosis best predicted time to clinical events of CVD, CHD, stroke, and dementia. These results were consistent across sex and racial and ethnic groups. CONCLUSIONS: Subclinical vascular composites of atherosclerosis and arteriosclerosis may be useful biomarkers to inform the vascular pathways contributing to events of CVD, CHD, stroke, and dementia.

Usage and Health Outcomes of Home Hemodialysis vs Center Hemodialysis in Racial/Ethnic Minority Groups in the United States a Quantitative Research in 2016-2019 USRDS Using Aday-Anderson Framework and Multiple Regression Models.

Introduction: Home hemodialysis (HHD) offers patients with end-stage kidney disease (ESKD) greater flexibility and advantages of health outcomes over center hemodialysis (CHD). This study aims to investigate the differences between home and center hemodialysis with a focus on racial/ethnic minorities. Methods: The US Renal Disease System (USRDS) 2019 patient core data containing mortality and hospitalization which are cumulative since 2010 were merged with 2016-2019 Medicare clinical claims. To assess demographic and medical factors adjusted utilization and mortality of HHD vs CHD within every racial/ethnic cohort, logistic regression was used, and negative binomial regression was conducted to analyze the number of hospitalizations. Results: Evaluating 548,453 (97.48%) CHD patients and 14,202 (2.52%) HHD patients with Whites 47%, Blacks 32%, Hispanics 15%, Asians 4%, and other minorities 2%, the outcomes from adjusted regressions showed that: 1) minorities were significantly less likely to use HHD than Whites (Blacks: OR, 0.568, 95% CI, 0.546-0.592; Hispanics: OR, 0.510, 95% CI, 0.477-0.544; Asians: OR, 0.689, 95% CI, 0.619-0.766; Others: OR, 0.453, 95% CI, 0.390-0.525; p < 0.001); 2) most minority patients were younger and had fewer comorbidities than Whites, and all minority groups displayed significantly lower mortality and hospitalization incidences than the White group with adjustment on multiple covariates; 3) in the overall and main racial/ethnic cohorts, HHD showed a significantly lower risk of death than CHD after confounding for major risk factors (overall cohort: OR, 0.686, 95% CI, 0.641-0.734; White: OR, 0.670, 95% CI, 0.612-0.734; Blacks: OR, 0.717, 95% CI, 0.644-0.799; Hispanics: OR, 0.715, 95% CI, 0.575-0.889; Others: OR, 0.473, 95% CI, 0.265-0.844). Conclusion: There are substantial racial/ethnic variations in home hemodialysis use and health outcomes in the United States.

Broadening the Scope of Resilience in Chronic Pain: Methods, Social Context, and Development.

PURPOSE OF REVIEW: A wellspring of new research has offered varying models of resilience in chronic pain populations; however, resilience is a multifaceted and occasionally nebulous construct. The current review explores definitional and methodological issues in existing observational and clinical studies and offers new directions for future studies of pain resilience. RECENT FINDINGS: Definitions of pain resilience have historically relied heavily upon self-report and from relatively narrow scientific domains (e.g., positive psychology) and in narrow demographic groups (i.e., Caucasian, affluent, or highly educated adults). Meta-analytic and systematic reviews have noted moderate overall quality of resilience-focused assessment and treatment in chronic pain, which may be attributable to these narrow definitions. Integration of research from affiliated fields (developmental models, neuroimaging, research on historically underrepresented groups, trauma psychology) has the potential to enrich current models of pain resilience and ultimately improve the empirical and clinical utility of resilience models in chronic pain.

Testing for intersectional measurement invariance with the alignment method: Evaluation of the 8-item patient health questionnaire.

OBJECTIVE: To demonstrate the use of the alignment method to evaluate whether surveys function similarly (i.e., have evidence of measurement invariance) across culturally diverse intersectional groups. Intersectionality theory recognizes the interconnected nature of social categories such as race, gender, ethnicity, and socioeconomic status. DATA SOURCES: A total of 30,215 American adult's responses to the eight-item Patient Health Questionnaire depression assessment scale (PHQ-8) from the 2019 National Health Interview Survey (NHIS). STUDY DESIGN: Using the alignment method, we examined the measurement invariance (equivalence) of the PHQ-8 depression assessment scale across 16 intersectional subgroups defined at the intersection of age (under 52, 52 and older), gender (male, female), race (Black, non-Black), and education (no bachelor's degree, bachelor's degree). PRINCIPAL FINDINGS: Overall, 24% of the factor loadings and 5% of the item intercepts showed evidence of differential functioning across one or more of the intersectional groups. These levels fall beneath the benchmark of 25% suggested for determining measurement invariance with the alignment method. CONCLUSIONS: The results of the alignment study suggest that the PHQ-8 functions similarly across the intersectional groups examined, despite some evidence of different factor loadings and item intercepts in some groups (i.e., noninvariance). By examining measurement invariance through an intersectional lens, researchers can investigate how a person's multiple identities and social positions possibly contribute to their response behavior on an assessment scale.

Racial/Ethnic Differences in Vaping Product Use among Youth: A State-Level Analysis.

National data suggest that non-Hispanic, White youth engage in electronic cigarette (e-cigarette) use at the highest rates. These results are not likely to be mirrored across regional contexts. State-representative data from Utah in 2019 (N = 58,689) were used to estimate the odds of lifetime and past 30-day vaping across seven racial/ethnic categories. Youth in grades 8, 10, and 12 (mean age 15.2; 52% female) self-reported race/ethnicity and vaping product use history, including e-cigarettes, vape pens, or mods. A Cox proportional hazards model estimated the cumulative probabilities for initiating vaping product use. The results indicated that American Indian or Alaskan Native, Black or African American, Hispanic/Latino, Multiracial, and Native Hawaiian or other Pacific Islander youth had significantly higher odds of both lifetime and past 30-day vaping compared to non-Hispanic White youth. The results showed significant variation in the cumulative probability of initiation by race/ethnicity, with Hispanic/Latino youth reporting the highest odds of initiation at each age. The regional patterns of vaping across racial/ethnic groups may not mirror national trends. State- and community-level data should be used to inform efforts to reduce e-cigarette use and promote health equity among youth.

Similarities and Differences in the Longitudinal Trajectories of Depressive Symptoms from Mid-Adolescence to Young Adulthood: the Intersectionality of Gender, Race/Ethnicity, and Levels of Depressive Symptoms.

BACKGROUND: Understanding similarities and differences between groups with intersecting social identities provides key information in research and practice to promote well-being. Building on the intersectionality literature indicating significant gender and racial/ethnic differences in depressive symptoms, the present study used quantile regression to systematically present the diversity in the development of depressive symptoms for individuals with intersecting gender, race/ethnicity, and levels of symptoms. METHODS: Information from the National Longitudinal Survey of Youth 79: Child and Young Adult study was employed. A detailed picture of depressive symptom trajectories from low to high quantiles was illustrated by depicting 13 quantile-specific trajectories using follow-up data from ages 15 to 40 in six gender-race/ethnicity groups: both genders of Black, Hispanic, and non-Black, non-Hispanic individuals. RESULTS: From low to high quantiles, Black and non-Black, non-Hispanic individuals showed mostly curved, and Hispanic individuals showed mostly flat trajectories. Across the six gender-race/ethnicity groups, the trajectories below 0.50 quantiles were similar in levels and shapes from mid-adolescence to young adulthood. The differences between the six gender-race/ethnicity groups widened, indicated by outspreading trajectories, especially at quantiles above 0.50. Furthermore, non-Black, non-Hispanic males and females showed especially fast-increasing patterns at quantiles above 0.75. Among those without or with only a high school degree, Black females and non-Black, non-Hispanic females tended to report similar levels of depressive symptoms higher than other groups at high quantiles. These unique longitudinal trajectory profiles cannot be captured by the mean trajectories. CONCLUSIONS: The intersectionality of gender, race/ethnicity, and quantile of symptoms on the development of depressive symptoms was identified. Further studying the mechanism explaining this diversity can help reduce mental health disparities.

Association Between Social Determinants of Health Issues and Maternal Obesity Among American Racial/Ethnic Groups.

Background and Objective: Social determinants of health impact various clinical health outcomes in the population. We conducted this study to examine the impact of adverse social determinants of health (SDOH) characteristics on maternal obesity among hospitalized pregnant women in the US and its potential differential impact on women of different races/ethnicities. Methods: The nationwide pregnancy hospitalization data analyzed in this study were collected through the Nationwide Inpatient Sample (NIS) database during 2016-2018. We conducted descriptive analyses to evaluate the relationship between patient characteristics and maternal obesity. Using the adjusted survey logistic regression model, we calculated the independent association between social determinants of health (SDOH) risk factors and hospitalization characteristics (exposure) and maternal obesity (outcome). Lastly, stratified survey logistic regression models were created for each racial/ethnic group to examine the differential impact in the association between SDOH issues and maternal obesity. Results: The prevalence of SDOH issues was highest in non-Hispanic (NH) Black women (6.59 per 1000 hospitalizations), whereas the prevalence of obesity among those with SDOH issues was highest in Hispanic women (15.3 per 100 hospitalizations). We observed that pregnant women with SDOH issues were 1.15 times as likely (95% CI: 1.05-1.25) to experience maternal obesity compared to those without SDOH issues. Relative to their counterparts without SDOH issues, Hispanics and NH-Others with SDOH issues had increased odds of obesity, whereas NH-White and NH-Black mothers with SDOH had similar odds of obesity (p>0.05). Conclusion and Global Health Implications: In conclusion, pregnant women with SDOH issues had an increased likelihood of obesity diagnosis and the association demonstrated differential impact across racial/ethnic sub-populations. This information has potential utility for counseling and formulation of targeted interventions for pregnant women.

Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD.

OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with Alzheimer's disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533). METHODS: Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach. RESULTS: We found higher risks of COVID-19-related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996-2.841), 64.7% (95% CI: 1.546-1.755), and 37.1% (95% CI: 1.192-1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.

American Indians travel great distances for obstetrical care: Examining rural and racial disparities.

Rural, American Indian/Alaska Native (AI/AN) people, a population at elevated risk for complex pregnancies, have limited access to risk-appropriate obstetric care. Obstetrical bypassing, seeking care at a non-local obstetric unit, is an important feature of perinatal regionalization that can alleviate some challenges faced by this rural population, at the cost of increased travel to give birth. Data from five years (2014-2018) of birth certificates from Montana, along with the 2018 annual survey of the American Hospital Association (AHA) were used in logistic regression models to identify predictors of bypassing, with ordinary least squares regression models used to predict factors associated with the distance (in miles) birthing people drove beyond their local obstetric unit to give birth. Logit analyses focused on hospital-based births to Montana residents delivered during this time period (n = 54,146 births). Distance analyses focused on births to individuals who bypassed their local obstetric unit to deliver (n = 5,991 births). Individual-level predictors included maternal sociodemographic characteristics, location, perinatal health characteristics, and health care utilization. Facility-related measures included level of obstetric care of the closest and delivery hospitals, and distance to the closest hospital-based obstetric unit. Findings suggest that birthing people living in rural areas and on American Indian reservations were more likely to bypass to give birth, with bypassing likelihood depending on health risk, insurance, and rurality. AI/AN and reservation-dwelling birthing people traveled significantly farther when bypassing. Findings highlight that distance traveled was even farther for AI/AN people facing pregnancy health risks (23.8 miles farther than White people with pregnancy risks) or when delivering at facilities offering complex care (14-44 miles farther than White people). While bypassing may connect rural birthing people to more risk-appropriate care, rural and racial inequities in access persist, with rural, reservation-dwelling AI/AN birthing people experiencing greater likelihood of bypassing and traveling greater distances when bypassing.

Racial/ethnic differences in social determinants of health and health outcomes among adolescents and youth ages 10-24 years old: a scoping review.

INTRODUCTION: With the recent emergence of the Healthy People 2030 goals there is a need to understand the role of SDOH on health inequalities from an upstream perspective. This review summarizes the recent body of evidence on the impact of SDOH across adolescence and youth health outcomes by race/ethnicity using the Health People 2030 Framework. METHODS: A systematic, reproducible search was performed using PubMed, Academic Search Premier, PsychInfo, and ERIC. A total of 2078 articles were screened for inclusion. A total of 263 articles met inclusion criteria, resulting in 29 articles included for final synthesis. RESULTS: Across the 29 articles, 11 were cross-sectional, 16 were cohort, and 2 were experimental. Across SDOH categories (economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context), 1 study examined self-efficacy, 6 educational attainment, 10 behavior, 5 smoking, 11 alcohol use, 10 substance use, and 1 quality of life. The majority of outcomes represented in this search included health behaviors such as health risk behavior, smoking, alcohol use, and substance use. Across the 29 articles identified, significant differences existed across outcomes by race/ethnicity across SDOH factors, however magnitude of differences varied by SDOH category. DISCUSSION: SDOH differentially affect adolescents and youth across race/ethnicity. The lived adverse experiences, along with structural racism, increase the likelihood of adolescents and youth engaging in risky health behaviors and negatively influencing health outcomes during adolescence and youth. Research, public health initiatives, and policies integrating SDOH into interventions at early stage of life are needed to effectively reduce social and health inequalities at a population level.

Frontline work and racial disparities in social and economic pandemic stressors during the first COVID-19 surge.

OBJECTIVE: To assess the magnitude of racial-ethnic disparities in pandemic-related social stressors and examine frontline work's moderating relationship on these stressors. DATA SOURCES: Employed Californians' responses to the Institute for Governmental Studies (IGS) poll from April 16-20, 2020, were analyzed. The Pandemic Stressor Scale (PSS) assessed the extent to which respondents experienced or anticipated problems resulting from the inability to pay for basic necessities, job instability, lacking paid sick leave, unavailability of childcare, and reduced wages or work hours due to COVID-19. STUDY DESIGN: Mixed-effects generalized linear models estimated (1) racial-ethnic disparities in pandemic stressors among workers during the first COVID-19 surge, adjusting for covariates, and (2) tested the interaction between race-ethnicity and frontline worker status, which includes a subset of essential workers who must perform their job on-site, to assess differential associations of frontline work by race-ethnicity. DATA COLLECTION: The IGS poll data from employed workers (n = 4795) were linked to the 2018 Centers for Disease Control and Prevention Social Vulnerability Index at the zip code level (N = 1068). PRINCIPAL FINDINGS: The average PSS score was 37.34 (SD = 30.49). Whites had the lowest PSS score (29.88, SD = 26.52), and Latinxs had the highest (50.74, SD = 32.61). In adjusted analyses, Black frontline workers reported more pandemic-related stressors than White frontline workers (PSS = 47.73 vs. 36.96, p < 0.001). Latinxs reported more pandemic stressors irrespective of frontline worker status. However, the 5.09-point difference between Latinx frontline and non-frontline workers was not statistically different from the 4.6-point disparity between White frontline and non-frontline workers. CONCLUSION: Latinx workers and Black frontline workers disproportionately reported pandemic-related stressors. To reduce stress on frontline workers during crises, worker protections like paid sick leave, universal access to childcare, and improved job security are needed, particularly for those disproportionately affected by structural inequities, such as racially minoritized populations.

Examining sources of post-acute care inequities with layered target matching.

OBJECTIVE: To examine factors associated with racial inequities in discharge location, skilled nursing facility (SNF) utilization, and readmissions. DATA SOURCES: A 20% sample of longitudinal Medicare claims from 2016 to 2018. STUDY DESIGN: We present layered target matching, a method for studying sources of inequities. Layered target matching examines a fixed target population profile representing any race, ethnicity, or vulnerable population, sequentially adjusting for sets of characteristics that may contribute to inequities these groups endure. We use the method to study racial inequities in post-acute care use and readmissions. DATA COLLECTION/EXTRACTION METHODS: We studied Black and non-Hispanic White fee-for-service Medicare beneficiaries aged 66+ admitted to short-term acute-care hospitals for qualifying diagnoses or procedures between January 1, 2016 and November 30, 2018. PRINCIPAL FINDINGS: Admitted Black patients tended to be younger, had significantly higher rates of risk factors such as diabetes, stroke, or renal disease, and were much more frequently admitted to large or academic hospitals. Relative to demographically similar White patients, Black patients were significantly more likely to be discharged to SNFs (21.8% vs. 19.3%, difference = 2.5%, p < 0.0001) and to receive any SNF care within 30 days of discharge (25.3% vs. 22.4%, difference = 2.9%, p < 0.0001). Black patients were also significantly more likely to experience 30-day readmission (18.7% vs. 14.5%, difference = 4.2%, p < 0.0001). Differences in reasons for hospitalization and risk factors explained most of the differences in discharge location, post-acute care use, and readmission rates, while additional adjustment for differences in hospital characteristics and complications made little difference for any of the measures studied. CONCLUSIONS: We found significant Black-White differences in discharge to SNFs, SNF utilization, and readmission rates. Using layered target matching, we found that differences in risk factors and reasons for hospitalization explained most of these differences, while differences in hospitals did not materially impact the differences.

Subjective Memory Decline Predicts Incident Cognitive Impairment Among White-But Not Black or Hispanic-Older Adults.

BACKGROUND AND OBJECTIVES: This study investigates whether subjective memory decline (SMD) in a racially diverse sample of older adults without cognitive impairment at baseline is associated with incident cognitive impairment during a 12-year follow-up period. RESEARCH DESIGN AND METHODS: With panel data from a national sample (N = 9,244) of cognitively intact Black, White, and Hispanic Americans 65 years or older in 2004, we examine if SMD is associated with the loss of normal cognition by 2016. Cognitive status was assessed every 2 years with a modified version of the Telephone Interview for Cognitive Status to identify the transition from normal cognition to cognitive impairment. RESULTS: Estimates from Weibull accelerated failure-time models reveal that SMD is associated with earlier incident cognitive impairment (time ratio = 0.96, p < .05). In subsequent models stratified by race-ethnicity, this association was evident among White respondents (time ratio = 0.95, p < .01) but not among Black, U.S.-born Hispanic, or foreign-born Hispanic respondents. DISCUSSION AND IMPLICATIONS: Given that the prognostic validity of SMD differs by race and ethnicity, caution is warranted when using it as a screening or clinical tool in diverse populations.

An Intersectional Approach to Understanding Barriers to Healthcare for Women.

Access to health care depends on multiple sociodemographic factors such as race/ethnicity, marital status, education, income, and insurance status. However, a paucity of research has examined access to healthcare disparities as they uniquely affect women, specifically women of color. National data were analyzed from the Medical Expenditure Panel Survey (MEPS) utilizing an 11-year sample (2005-2015) of women ages 18-74 (N = 128,355). More recent data were not included due to changes in how sampling was conducted after 2015. Predictor variables included race/ethnicity cross-classified with marital status, education, income, or insurance status, controlling for age. A dichotomous outcome variable called "any barriers to healthcare" was created based on usual source of care, delayed medical care, delayed dental care and delayed prescription care. Multivariate logistic regression models were used to identify associations with barriers to care. The foundation of this methodology is intersectionality and how it impacts access to care for women across social identities. Hispanic women (OR 1.08, 95% CI 1.02-1.14) had higher odds of having a barrier to care compared to White women. However, Black women (OR 0.92, 95% CI 0.87-0.97) had lower odds of having a barrier to care compared to White women. Race/ethnicity also significantly moderated the relationship between socioeconomic variables (marital status, income, education and insurance status) and having a barrier to care. To achieve a healthy community, addressing these racial/ethnic and socioeconomic inequalities helps to support the people who live and work within these communities.

Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children.

OBJECTIVE: To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously. DATA SOURCES: We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation. STUDY DESIGN: We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state. DATA EXTRACTION METHODS: We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions. PRINCIPAL FINDINGS: Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations. CONCLUSIONS: Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Racial and ethnic disparities in excess mortality among U.S. veterans during the COVID-19 pandemic.

OBJECTIVE: The COVID-19 pandemic disproportionately affected racial and ethnic minorities among the general population in the United States; however, little is known regarding its impact on U.S. military Veterans. In this study, our objectives were to identify the extent to which Veterans experienced increased all-cause mortality during the COVID-19 pandemic, stratified by race and ethnicity. DATA SOURCES: Administrative data from the Veterans Health Administration's Corporate Data Warehouse. STUDY DESIGN: We use pre-pandemic data to estimate mortality risk models using five-fold cross-validation and quasi-Poisson regression. Models were stratified by a combined race-ethnicity variable and included controls for major comorbidities, demographic characteristics, and county fixed effects. DATA COLLECTION: We queried data for all Veterans residing in the 50 states plus Washington D.C. during 2016-2020. Veterans were excluded from analyses if they were missing county of residence or race-ethnicity data. Data were then aggregated to the county-year level and stratified by race-ethnicity. PRINCIPAL FINDINGS: Overall, Veterans' mortality rates were 16% above normal during March-December 2020 which equates to 42,348 excess deaths. However, there was substantial variation by racial and ethnic group. Non-Hispanic White Veterans experienced the smallest relative increase in mortality (17%, 95% CI 11%-24%), while Native American Veterans had the highest increase (40%, 95% CI 17%-73%). Black Veterans (32%, 95% CI 27%-39%) and Hispanic Veterans (26%, 95% CI 17%-36%) had somewhat lower excess mortality, although these changes were significantly higher compared to White Veterans. Disparities were smaller than in the general population. CONCLUSIONS: Minoritized Veterans experienced higher rates excess of mortality during the COVID-19 pandemic compared to White Veterans, though with smaller differences than the general population. This is likely due in part to the long-standing history of structural racism in the United States that has negatively affected the health of minoritized communities via several pathways including health care access, economic, and occupational inequities.

Racial disparities in pregnancy options counseling and referral in the US South.

OBJECTIVE: The objective of this study is to examine racial variation in receipt of counseling and referral for pregnancy options (abortion, adoption, and parenting) following pregnancy confirmation. Equitable offering of such information is a professional and ethical obligation and an opportunity to prevent racial disparities in maternal and child health. DATA SOURCE: Primary data from patients at southern United States publicly funded family planning clinics, October 2018-June 2019. STUDY DESIGN: Patients at 14 clinics completed a survey about their experiences with pregnancy options counseling and referral following a positive pregnancy test. The primary predictor variable was patients' self-reported racial identity. Outcomes included discussion of pregnancy options, referral for those options, and for support services. DATA COLLECTION: Data from eligible patients with non-missing information for key variables (n = 313) were analyzed using descriptive statistics, χ2 tests, and multivariable logistic regression. PRINCIPAL FINDINGS: Patients were largely Black (58%), uninsured (64%), and 18-29 years of age (80%). Intention to continue pregnancy and receipt of prenatal care referral did not differ significantly among Black as compared to non-Black patients. However, Black patients had a higher likelihood of wanting an abortion or adoption referral and not receiving one (abortion: marginal effect [ME] = 7.68%, p = 0.037; adjusted ME [aME] = 9.02%, p = 0.015; adoption: ME = 7.06%, p = 0.031; aME = 8.42%, p = 0.011). Black patients intending to end their pregnancies had a lower probability of receiving an abortion referral than non-Black patients (ME = -22.37%, p = 0.004; aME = -19.69%, p = 0.023). In the fully adjusted model, Black patients also had a higher probability of wanting access to care resources (including transportation, childcare, and financial support) and not receiving them (aME = 5.38%, p = 0.019). CONCLUSIONS: Clinical interactions surrounding pregnancy confirmation provide critical opportunities to discuss options, coordinate care, and mitigate risk, yet are susceptible to systemic bias. These findings add to limited evidence around pregnancy counseling and referral disparities. Ongoing assessment of pregnancy counseling and referral disparities can provide insight into organizational strengths or the potential to increase structural equity.