Journal of Racial and Ethnic Health Disparities最新文献

Objective: This study evaluated the prevalence and incidence of opioid use disorder (OUD), rates of opioid overdose (OD), and rates of non-fatal (NF) OD in American Indian/Alaskan Native (AI/AN) populations.

Methods: We used de-identified patient data from Oracle Cerner Real-World Data™. Rates were estimated over time, and stratified by sex, age, marital status, insurance, and region. Mann-Kendall trend tests and Theil-Sen slopes assessed changes over time for each group while autoregressive modeling assessed differences between groups.

Results: The study identified trends in OUD and OD among 700,225 AI/AN patients aged 12 and above. Between 2012 and 2022, there was a significant upward trend in both OUD and OD rates (p < 0.05) , with OUD diagnosed in 1.75% and OD in 0.38% of the population. The Western region of the US exhibited the highest rates of OUD and OD. The 35-49 age group showed the highest rates of OUD, while the 12-34 age group had the highest rates of OD. Marital status analysis revealed higher rates of OUD and OD among separated, widowed, or single patients. Additionally, individuals with Medicare or Medicaid insurance demonstrated the highest rates of OUD and OD.

Conclusion: Results show that rates of OUD, OD, and NF OD continue to rise among AI/AN individuals, with some regional and demographic variation. Our study provides foundational estimates of key AI/AN populations bearing greater burdens of opioid-related morbidity that federal, state, and tribal organizations can use to direct and develop targeted resources that can improve the health and well-being of AI/AN communities.

Objectives: To evaluate and synthesize research findings on adverse birth outcomes and maternal morbidity among Afro-Latinas and their infants.

Methods: A systematic review was conducted within PubMed, Web of Science, and SCOPUS databases. Four thousand five hundred twenty-six published peer-reviewed articles from 1970 to 2023 that reported outcomes related to maternal morbidity and/or birth outcomes were screened. After screening, we assessed 22 for eligibility, and ultimately, seven studies were included for data extraction and analysis.

Results: Although limited, the existing studies revealed disparities in abnormal birth weight (LBW & SGA) and higher preterm birth prevalence among Afro-Latinas compared to other racial and ethnic peers. These disparities are also prevalent among U.S.-born Afro-Latinas compared to foreign-born Afro-Latinas.

Conclusions: By critically examining the current empirical evidence, we can gain a deeper understanding of how intersectionality impacts perinatal health outcomes among Afro-Latinas. Understanding the root causes of these outcomes through increased research is critical to preventing and reducing poor maternal and child health among Afro-Latinas, particularly those who are U.S.-born.

Background: Structural racism contributes to geographical inequalities in pre-exposure prophylaxis (PrEP) coverage in the United States (US). This study aims to investigate county-level variability in PrEP utilization across diverse dimensions of structural racism.

Methods: The 2013-2021 nationwide county-level PrEP rate and PrEP-to-need ratio (PNR) data were retrieved from AIDSVu. PrEP rate was defined as the number of PrEP users per 100,000 population, and PNR was defined as the ratio of PrEP users to new HIV diagnoses per calendar year. Linear mixed effect regression was employed to identify associations of county-level structural racism (e.g., structural racism in housing and socioeconomic status) with PrEP rate and PNR on a nationwide scale of the US.

Results: From 2013 to 2021, the mean PrEP rate and PNR increased from 3.62 to 71.10 and from 0.39 to 10.20, respectively. Counties with more structural racism in housing were more likely to have low PrEP rates (adjusted β =  - 5.80, 95% CI [- 8.84, - 2.75]). Higher PNR was found in counties with lower structural racism in socioeconomic status (adjusted β =  - 2.64, 95% CI [- 3.68, - 1.61]). Regionally, compared to the Midwest region, counties in the West region were more likely to have higher PrEP rate (adjusted β = 30.99, 95% CI [22.19, 39.80]), and counties in the South had lower PNR (adjusted β =  - 1.87, 95% CI [- 2.57, - 1.17]).

Conclusions: County-level structural racism plays a crucial role in understanding the challenges of scaling up PrEP coverage. The findings underscore the importance of tailored strategies across different regions and provide valuable insights for future interventions to optimize PrEP implementation.

Racial concentration of neighborhoods is often associated with the risk of preterm birth (PTB) for women. This study examined differences between racially diverse and racially concentrated neighborhoods when examining preterm birth. Individual-level data were obtained from Texas natality files for 2009-2011, and neighborhood-level (i.e., census tract) data were obtained from the decennial census in 2010 and the American Community Survey 2005-2009. We used multilevel modeling to assess the association between neighborhood racial diversity and odds of PTB, after controlling for individual characteristics, neighborhood poverty, and population density. We found that neighborhood racial diversity and concentration matter for PTB. Results suggest that systemic racism is still key to understanding PTB. Furthermore, findings support policies that prevent displacement from gentrification of diverse neighborhoods and promote equal access to health-related resources for women in predominantly Black, Hispanic, and/or immigrant neighborhoods.

During the COVID-19 pandemic, climate-related natural hazards, such as wildfires, storms/hurricanes, and others (e.g., earthquakes, tornadoes), further disrupted the normal functioning of US residents. The co-occurrence of natural disasters and COVID-19 created unprecedentedly elevated levels of stress, especially to the racial/ethnic minorities and lower-income households. This study examines how natural disasters related to recreational drug use during COVID-19 and whether the relation is heterogeneous across different subgroups categorized by race/ethnicity and household income. This study used the data from the biweekly online surveys of the Understanding America Study (UAS) and analyzed the drug use behaviors of 966 US adults between April 29 and December 31, 2020. This study found that middle-income adults (household income ranging from $50,000 to $149,999), serving as the reference group, generally exhibited a significant reduction in drug consumption during or after disaster events. However, compared to the middle-income group, White and Black adults with household income lower than $50,000 showed 142% and 88% more frequent drug use when experiencing storms/hurricanes. This disparity widened in the following weeks. Additionally, lower-income Hispanics showed 74% more frequent drug use compared to the middle-income group in the weeks following wildfire incidents. The study's findings shed light on the risk of drug misuse during the co-occurrence of climate and public health crises, emphasizing the disproportionate risk among lower-income racial/ethnic minorities amid the pandemic and natural disasters.

Objective: The objective of this study is to evaluate if racial and other demographic disparities exist between patients who enrolled or declined participation in a congenital cytomegalovirus (cCMV) newborn universal screening research study.

Methods: We examined characteristics for patients approached over a 2-year period to participate in a cCMV newborn screening study. Maternal characteristics included age, race, ethnicity, preferred language, interpreter need, insurance type, and number of living children. Recruitment period was also examined (pre-pandemic January 1 to December 31, 2019, and during COVID-19 July 1, 2021 to June 30, 2022). Characteristics were compared for patients who enrolled in the study and those who declined participation using descriptive statistics and logistic regression.

Results: Of the study sample (n = 4156), 3148 (75.7%) patients enrolled and 1008 (24.3%) declined. Declined participation rates were 47.2% among non-Hispanic (NH) Black patients and 15.7% among NH White patients. In the final adjusted model, NH Black patients (OR 3.14, 95% CI 2.53-3.90), those with public insurance (OR 1.81, 95% CI 1.48-2.22), and those with four or more children (OR for 4 + children 1.45, 95% CI 1.11-1.90) were the most likely to decline research participation.

Conclusions: NH Black and NH multiracial patients were among the most likely patient groups to decline study participation. These groups have previously been identified to be at increased risk for cCMV. This differential participation in cCMV research could result in underreported estimates of prevalence. Future cCMV research, including surveillance studies, should include documentation of differential participation to both address efforts to improve research participation and document and address potential bias in results.

Background: Sedentary behavior has been identified as a significant risk factor for Metabolic Syndrome (MetS). However, it is unclear if the sedentary pattern measurement approach (posture vs. movement) impacts observed associations or if associations differ for Hispanic/Latino communities, who have higher risk of MetS.

Methods: Participants from the Community of Mine (CoM) study (N = 602) wore hip-based accelerometers for 14 days and completed MetS-associated biomarker assessment (triglycerides, blood pressure, fasting glucose, HDL cholesterol, waist circumference). Sedentary patterns were classified using both cutpoints (movement-based) and the Convolutional Neural Network Hip Accelerometer Posture (CHAP) algorithm (posture-based). We used logistic regression to estimate associations between MetS with sedentary patterns overall and stratified by Hispanic/Latino ethnicity.

Results: CHAP and cutpoint sedentary patterns were consistently associated with MetS. When controlling for total sedentary time and moderate to vigorous physical activity, only CHAP-measured median sedentary bout duration (OR = 1.15, CI: 1.04, 1.28) was significant. In stratified analysis, CHAP-measured median bout duration and time spent in sedentary bouts ≥ 30 min were each associated with increased odds of MetS, but the respective associations were stronger for Hispanic/Latino ethnicity (OR = 1.71 and 1.48; CI = 1.28-2.31 and 1.12-1.98) than for non-Hispanic/Latino ethnicity (OR = 1.43 and 1.40; CI = 1.10-1.87 and 1.06-1.87).

Conclusions: The way sedentary patterns are measured can impact the strength and precision of associations with MetS. These differences may be larger in Hispanic/Latino ethnic groups and warrants further research to inform sedentary behavioral interventions in these populations.

Objective: The COVID-19 pandemic led to a rapid expansion of telehealth utilization in medicine. However, the quality measures associated with telehealth use remain unclear, particularly among vulnerable populations. This study aims to investigate the impact of telehealth on individuals' perception of overall quality care among vulnerable patient populations.

Methods: This cross-sectional study utilized Health Information National Trends Survey data. The individuals' overall perception of healthcare quality was compared between populations that had at least one telehealth visit and non-telehealth users, who all had the option of utilizing telehealth. This comparison focused on vulnerable populations, considering differences in race and ethnicity (non-Hispanic white vs. non-Hispanic black/Hispanic individuals) and socioeconomic status (high vs. low). Multivariable logistic regressions were employed to ascertain the association between individuals' overall perceptions of quality care with and without telehealth utilization.

Results: A total of 2920 participants, representing an unweighted population of 114,608,302, were analyzed. The adjusted odds ratio (AOR) for at least one telehealth visit associated with individuals' overall perception of quality care among the entire survey population was 0.76 with a 95% CI of 0.51-1.13 (p = 0.173). The AOR was 0.83 (95% CI 0.39-1.77, p = 0.618) among the non-White population, and the AOR was 0.71 (95% CI 0.29-1.78, p = 0.462) among individuals with low SES.

Conclusions: Although telehealth utilization has both its limitations and advantages compared to traditional clinical visits, no statistically significant differences in individuals' overall perception of quality care were identified among telehealth and non-telehealth users. These findings were also consistent across various vulnerable populations.

Objectives: To investigate the trends and racial/ethnic disparities in adequate prenatal care (PNC) use in the USA.

Methods: A repeated cross-sectional study was conducted using May 2016-May 2021 data from the Pregnancy Risk Assessment Monitoring System (PRAMS). A primary outcome was the Kotelchuck index, a measure of the adequacy of PNC use, and the year was a key independent variable. Multinomial and binary logistic regression analyses were performed to examine PNC utilization using multiple imputations with chained equations.

Results: Among the 190,262 pregnant individuals, adequate PNC use was largely consistent from 2016 to 2019. However, there was an immediate drop from 77.4-78.3% between 2016 and 2019 to 75.2% in 2020 and 75.8% in 2021. Conversely, both intermediate and inadequate PNC use tended to increase in 2020 and 2021. Adequate PNC use, when compared to inadequate use, showed significantly lower odds in 2020 (adjusted Odds Ratio [aOR] 0.87, 95% CI 0.78-0.96; p = 0.009) and 2021 (aOR 0.87, 95% CI 0.77-0.99; p = 0.033) than in 2016. Notably, Hispanic participants experienced substantial impacts (aOR 0.75, 95% CI 0.64-0.88; p = 0.001 in 2020 and aOR 0.72, 95% CI 0.59-0.89; p = 0.002 in 2021).

Conclusions: While adequate PNC use was a steady, slightly upward trend before 2020, it had a steep decline afterward. It is worth noting that Hispanic individuals were severely affected. Targeted interventions or policies to address barriers to PNC and foster equitable and sustainable care models are required.

Black women face many health disparities, many of which are tied to the stress of being a marginalized group member. Resilience, defined as the ability to bounce back from adversity and continue with life, has been introduced as a method to buffer the stress that Black women experience and improve their outcomes. However, there is not a universally agreed-upon definition of resilience in the literature. Thus, it is unclear how resilience works broadly, particularly for Black women. It is important to explore whether resilience is as positive as many scholars have perceived it to be. The current review analyzes 28 empirical articles that looked at stress, resilience, and health outcomes in Black women. The review revealed that there are many inconsistencies in how both stress and resilience are measured. Further, the positive effects of resilience seem to be largely context-dependent and vary depending on the demographic and health outcomes explored.