Journal of Racial and Ethnic Health Disparities最新文献

Assessing measurement invariance and the interplay of discrimination, microaggressions, and resilience among Black women living with HIV (BWLWH) across time utilizing latent class and repeated measure analysis may provide novel insights. A total of 151 BWLWH in a southeastern U.S. city completed surveys focused on multiple forms of microaggressions and discrimination (race, gender, sexual orientation, or HIV-related) and resilience factors (social support, self-efficacy, post-traumatic growth) at baseline, 3 months, and 6 months. To capture the psychosocial domains of discrimination, microaggressions, and resilience, three latent factors were developed and measured across three time points. Latent class analysis was also conducted to identify and compare meaningful subgroups based on varying levels of discrimination, microaggressions, and resilience reported. Three latent classes were created. MI testing suggested that measurement invariance was partially met (established metric invariance and scalar invariance), and it is possible to compare factor means of discrimination, microaggressions, and resilience across time. Latent factor mean scores of microaggressions and discrimination decreased after 3 and 6 months and increased for resilience after 6 months and varied over time across the three latent classes identified. The subgroup with the lowest level of discrimination and microaggressions and the highest level of resilience reported at baseline, experienced increases in resilience after months 3 and 6. Clinical interventions, research, and policies aimed at promoting resilience and reducing structural and social barriers linked to racism, sexism, HIV stigma, and classism are needed to improve the health and well-being of BWLWH.

Background: County-level barriers (sociodemographic barriers, limited healthcare system resources, healthcare accessibility barriers, irregular healthcare seeking behaviors, low vaccination history) may impact individuals' reasons for receiving the COVID-19 vaccine.

Methods: This study linked data from REACH-US (Race-Related Experiences Associated with COVID-19 and Health in the United States), a nationally representative, online survey of 5475 adults living in the U.S (January-March 2021) to county-level barriers in the COVID-19 Vaccine Coverage Index. County-level vaccination barriers were measured using the COVID-19 Vaccine Coverage Index. Participants reported why they would or would not receive the COVID-19 vaccine in an open-ended item and their responses were coded using thematic analysis. Descriptive statistics and chi-square tests assessed whether reasons for COVID-19 vaccination intentions varied by county-level barriers and whether these distributions varied across racial/ethnic groups.

Results: Thematic analysis revealed twelve themes in participants' reasons why they would or would not receive the COVID-19 vaccine. Themes of societal responsibility (9.8% versus 7.7%), desire to return to normal (8.1% versus 4.7%), and trust in science/healthcare/government (7.7% versus 5.1%) were more frequently reported in counties with low/medium barriers (versus high/very high) (p-values < 0.05). Concerns of COVID-19 vaccine side effects/safety/development (25.3% versus 27.9%) and concerns of access/costs/availability/convenience (1.9% versus 3.6%) were less frequently reported in counties with low/medium barriers (versus high/very high) (p-values < 0.05). Trends in the prevalence of these themes varied across racial/ethnic groups (p-values < 0.05).

Conclusions: Future pandemic responses should consider potential ways county-level barriers shape reasons for COVID-19 vaccination.

Background: Medical mistrust (MM) is seen as a barrier to assessing healthcare needs and addressing health disparities; however, limited literature has focused on assessing MM for vulnerable populations, especially racial/ethnic minority and sexual/gender minority youth and young adults (YYA).

Methods: Between February 2021 and March 2022, we conducted the Youth and Young Adults COVID-19 Study, a prospective cohort of minoritized YYA aged 14 to 24 years (n = 1027), within the United States and its territories. Participants were recruited through a combination of paid social media ads, outreach with organizations serving marginalized youth, and an existing registry, targeting racial and ethnic minority and LGBTQ + youth for a study on COVID-19 health behaviors. Multiple multinomial logistic regression models were developed to examine associations between demographics and three dimensions of MM including healthcare experience, government information, and scientific information.

Results: Most participants were between the ages of 18 and 21 years (48.3%), identified as Hispanic (33.3%) or white (22.5%), and bisexual or pansexual (34.3%). Queer YYA had higher odds of reporting worse personal healthcare experiences than their straight peers. The odds of gay/lesbian YYA that reported somewhat or extreme trust in doctor's sources were two times higher than their straight peers. Except for those who identified as Asian, racial/ethnic minority YYA were less likely to report somewhat or extreme trust in the CDC's general information or its COVID-19 data than white YYA. Transgender and gender diverse YYA were more than twice as likely to report being very or extremely influenced by statistics of the dangers of COVID-19 than cisgender YYA.

Conclusions: Our study indicated the importance of incorporating marginalized identities into the assessment of medical mistrust to better understand YYA's health prevention and treatment behaviors and to develop public health prevention and treatment strategies, especially for minoritized communities.

Theories of suicidality typically center intrapersonal processes, with limited attention to social determinants of mental health disparities. Using a legal vulnerability framework, we examined the association between self/parental immigration status and suicidal and self-harm ideation (SI) disparities in three groups of immigrant-origin Latinx young adults attending college in the USA: undocumented students (n = 564), US citizens with undocumented parents (n = 605), and US citizens with lawfully present parents (n = 596). We also evaluated whether self/parental immigration status differences in SI could be accounted for by six dimensions of legal vulnerability and, based on prominent theories of suicidality, explored the role of campus belongingness as a protective factor. Participants completed self-report measures, and SI was assessed using one item from the Patient Health Questionnaire-9, a screening tool that assesses the severity of depression symptomatology. Rates of SI were significantly higher among undocumented students (23.1%) and US citizens with undocumented parents (24.3%) compared to US citizens with lawfully present parents (17.8%). Immigration policy-related social exclusion and discrimination-mediated self/parental immigration status differences in SI. Although food insecurity did not differ by self/parental immigration status, greater food insecurity was associated with higher likelihood of SI. Greater campus belongingness was associated with a lower likelihood of endorsing SI for all students regardless of immigration status or legal vulnerability factors. Findings underscore the importance of examining self and parental immigration status as a social determinant of SI and the value of investigating aspects of legal vulnerability as explanatory factors.

A complex interplay of social, economic, and environmental factors drove the COVID-19 epidemic. Understanding these factors is crucial in explaining the racial disparities observed in COVID-19 deaths. This research investigated various hypotheses, including ecological, racial, demographic, economic, and political party factors, to determine their impact on COVID-19 deaths. The study utilized data from the National Center for Health Statistics (NCHS), specifically focusing on COVID-19 deaths categorized by race and Hispanic origin in US counties, with over 100 recorded deaths as of July 11, 2022.

Method: To analyze the data, the study employed partial least squares (PLS) as the statistical approach, considering the presence of multicollinearity in the county-level socioeconomic data. SmartPLS4 software was utilized to illustrate paths depicting variance and covariance and to conduct significance tests. The analysis encompassed overall COVID-19 deaths and deaths among White, Black, and Hispanic Americans, utilizing the same latent variables and paths.

Results: The results revealed that the number of residents aged 65 years or older in a county was the most influential predictor of COVID-19 deaths, irrespective of race. Economic factors emerged as the second strongest predictors. However, when considering each racial group separately, distinct factors aligned with the five hypotheses emerged as significant contributors to COVID-19 deaths. Furthermore, the diagrams illustrating the relationships between these factors (covariates) varied among racial groups, indicating that the underlying social influences differed across races.

Discussion: In light of these findings, it becomes evident that a "one-size-fits-all" approach to prevention strategies is suboptimal. Instead, targeted prevention efforts tailored to specific racial and social classes at high risk of COVID-19 death could have provided more precise messaging and necessitate direct engagement.

Objective: This study explores differences in COVID-19 in-hospital mortality rates by patient and geographic factors to identify at-risk populations and analyze how strained health disparities were exacerbated during the pandemic.

Methods: The latest 2020 United States National Inpatient Sample (NIS) data was used to obtain a population-based estimate for patients with COVID-19. We conducted a cross-sectional retrospective data analysis, and sampling weights were used for all statistical analyses to represent nationwide in-hospital mortality of patients with COVID-19. We used multivariate logistic regression models to identify predictors for how patients with COVID-19 are associated with in-hospital death.

Results: Of 200,531 patients, 88.9% did not have an in-hospital death (n=178,369), and 11.1% had in-hospital death (n=22,162). Patients older than 70 were 10 times more likely to have an in-hospital death than patients younger than 40 (p<0.001). Male patients were 37% more likely to have an in-hospital death than female patients (p<0.001). Hispanic patients were 25% more likely to have in-hospital deaths than White patients (p<0.001). In the sub-analysis, Hispanic patients in the 50-60, 60-70, and 70 age groups were 32%, 34%, and 24%, respectively, more likely to have in-hospital death than White patients (p<0.001). Patients with hypertension and diabetes were 69% and 29%, respectively, more likely to have in-hospital death than patients without hypertension and diabetes.

Conclusion: Health disparities in the COVID-19 pandemic occurred across races and regions and must be addressed to prevent future deaths. Age and comorbidities like diabetes have a well-established link to increased disease severity, and we have linked both to higher mortality risk. Low-income patients had a significantly increased risk of in-hospital death starting at over 40 years old.

Background: Medulloblastoma (MB) is the most common malignant brain tumor of childhood. The associations between socioeconomic statuses (SES) and survival outcomes of medulloblastoma remain unclear. The aim of this study was to develop a nomogram to predict medulloblastoma specific death (MBSD) and overall survival (OS) in patients with medulloblastoma, taking into account socioeconomic factors in patients with medulloblastoma.

Methods: We included patients diagnosed with MB between 1975 and 2016 from the Surveillance, Epidemiology, and End Results database. Propensity Score Matching (PSM) was performed to reduce selection bias. Multivariate cox proportional hazards model was used to assess SES impact and clinically relevant variables of medulloblastoma specific death and overall survival. Independent prognostic factors determined by multivariate analysis were used to construct nomograms.

Results: A total of 2660 patients were enrolled after matching. Study showed unemployed rate (MBSD, high level vs. low level, P = 0.020) (OS, high level vs. low level, P = 0.017), and marital status (OS, married vs unmarried/unknown, P = 0.029) were important factors affecting prognosis of medulloblastoma in male. Meanwhile, median household income (MBSD, quartile 1 vs. quartile 3, P = 0.047) (OS, quartile 1 vs. quartile 2, P = 0.017) (OS, quartile 1 vs. quartile 3, P = 0.014), residence (MBSD, urban vs. rural, P = 0.041), and insurance status (MBSD, insured vs. uninsured/unknown, P = 0.002)(OS, insured vs. uninsured/unknown, P = 0.001) were significant factors affecting prognosis of medulloblastoma in female. Through the calibration plot and C-index test, our nomogram was also of predictive significance.

Conclusions: The unique features of MB have provided a scenario for analysis of the impact of racial, ethnic, gender, and socioeconomic factors. The current findings have important public health implications for achieving the goal of a healthy population. Given the known morbidity rates, long-term psychological, financial and medical burdens that these children and their families must bear, it is critical to identify and address these gaps.

Background: Refugees have a high prevalence of obesity post resettlement, but few studies have compared their risk of obesity to those of the host population. We systematically investigated the association between refugee status and obesity after resettlement in a high-income nation.

Methods: We searched PubMed, Embase, OpenGrey and bibliographies of retrieved articles, with no date, location, and language restrictions, for observational studies assessing obesity rates in resettled refugees compared to the host population.

Results: Nine studies were analyzed. We found no evidence of increased risk of obesity among refugees compared to the host population, with significant heterogeneity across studies. However, the risk of obesity among refugee men were significantly lower than the host population.

Discussion: The heterogeneity between studies calls for more high-quality research to examine the risk of obesity among refugees compared to the host population in high-income countries. This will enable results to be pooled to provide more decisive evidence about obesity trends among refugees post migration in a high-income nation.

Background: Our study examines the effects of distinct HIV stigma subtypes on retention in care and racial-ethnic differences among persons with HIV (PWH).

Methods: Using Florida Medical Monitoring Project 2015-2017 data, we analyzed patients' clinical and behavioral characteristics. We analyzed 89,889 PWH in Florida (50.0% non-Hispanic Blacks, 20.8% Hispanics, 29.2% non-Hispanic whites). HIV stigma subtypes, negative self-image, anticipated stigma, personalized stigma, and retention in care were examined with logistic regressions.

Results: People with high negative self-image and anticipated stigma were less likely to be retained (CI: 0.84-0.92; 0.47-0.53). The association between HIV-related stigma subtypes and retention in care differed between Black, White, and Hispanic participants. Negative self-image was associated with higher retention rates among Hispanics (CI: 5.64-9.26) and Whites (CI: 1.04-1.27), while low retention rates among Blacks (0.617-0.686). The likelihood of staying in care was lower across all racial-ethnic groups when the anticipated stigma was high or moderate. In contrast, personalized stigma increased retention across all racial-ethnic groups.

Conclusion: Results showed that distinct types of HIV stigma differentially impact retention, and these associations differ by race and ethnicity. Future interventions should address the effect HIV stigma subtypes have on racially minoritized PWH retention.

Background: The COVID-19 pandemic created challenges in accessing food, water, medications, and healthcare services some of which are linked with lower self-rated health (SRH). These challenges have already been documented in the US, but it remains unknown how the pandemic affected access to food, water, medications and healthcare services, and how these challenges relate to SRH in this group, a population experiencing profound health disparities and limited resources prior to the pandemic.

Objective: To assess associations between challenges accessing food, water, healthcare, and medications during the COVID-19 pandemic and SRH among adults in Puerto Rico.

Methods: Cross-sectional analysis of Puerto Rico-CEAL. Adults (>18 years; n=582) completed an online survey (December 30, 2021-February 8, 2022). Presence of each challenge during the past 30 days was measured and analyzed individually and combined (0, 1, >2). SRH (rated from poor-excellent) was measured before and at pandemic. Change in SRH was calculated. Adjusted Poisson models with robust variance errors estimated prevalence ratios (PR).

Results: Experiencing food, water, medication, and healthcare challenges (vs. not) were associated with pandemic fair-poor SRH (PR=1.44, 95%CI=1.06-1.97; PR=1.59, 95%CI=1.15-2.18; PR=1.38, 95%CI=1.05-1.81; and PR=1.56,9 5%CI=1.15-2.12, respectively). Experiencing 2+ challenges (vs. none) was associated with pandemic fair-poor SRH (PR=1.77, 95%CI=1.22-2.55). Additionally, experiencing food, medication, and healthcare challenges (vs. not) was associated with decreased SRH (PR=1.35, 95%CI=1.08-1.69; PR=1.24, 95%CI=1.01-1.51; and PR=1.25, 95%CI=1.01-1.54, respectively), as well as experiencing 2+ challenges (vs. none; PR =1.49, 95%CI=1.15-1.92).

Conclusion: Challenges accessing food, water, medications, and healthcare services during the pandemic were associated with fair-poor SRH and decreased SRH in Puerto Rico. Public health policy should ensure access to basic needs.