Ethnicity & Disease最新文献

Objective: To explore factors influencing COVID-19 vaccine decision-making among Black adults at high-risk for COVID-19 infection. Despite effective treatment and vaccination availability, Black Americans continue to be disproportionately impacted by COVID-19.

Design setting and participants: Using community-engaged qualitative methods, we conducted virtual, semi-structured focus groups with Black residents in Los Angeles County before widespread vaccine rollout. Recruitment occurred through local community partners.

Main outcome measures: Themes and subthemes on factors for vaccine confidence and accessibility.

Methods: As part of a larger study exploring COVID-19 vaccine decision-making factors among multiethnic groups, two-hour virtual focus groups were conducted between December 15, 2020 and January 27, 2021. Transcripts were analyzed using reflexive thematic analysis.

Results: Three focus groups were conducted with 17 Black participants, who were primarily female (n=15), residents of high-poverty zip codes (n=11) and employed full-time (n=6). Black-specific considerations for vaccine confidence and accessibility include: 1) reduced confidence in COVID-19 vaccines due to historical government inaction and racism (existing health inequities and disparities are rooted in racism; historical unethical research practices); 2) misunderstanding of Black communities' vaccine concerns ("vaccine hesitancy" as an inaccurate label to describe vaccine skepticism; ignorance to root causes of vaccine skepticism); and 3) recognizing and building on resources (community agency to address COVID-19 vaccine needs adequately).

Conclusions: Vaccination campaigns should improve understanding of underlying vaccination concerns to improve vaccine outreach effectiveness and should partner with, provide resources to, and invest in local, trusted Black community entities to improve COVID-19 vaccination disparities.

In 2020, the highest rates of cervical cancer incidence and mortality were reported in Asian and African regions of the world. Across the globe, growing evidence confirms cancer disparities among racial and ethnic minorities, low socioeconomic status groups, sexual and gender minorities, uninsured individuals, and rural residents. Recognition of these stark disparities has led to increased global efforts for improving screening rates overall and, in medically underserved populations, highlighting the urgent need for research to inform the successful implementation of cervical cancer screening. Implementation science, defined as the study of methods to promote the integration of research evidence into health care practice, is well-suited to address this challenge. With a multilevel, implementation focus, we present key research directions that can help address cancer disparities in resource-limited settings. First, we describe several global feasibility studies that acknowledge the effectiveness of self-sampling as a strategy to improve screening coverage. Second, we highlight Project ECHO as a strategy to improve providers' knowledge through an extended virtual learning community, thereby building capacity for health care settings to deliver screening. Third, we consider community health workers, who are a cornerstone of implementing public health interventions in global communities. Finally, we see tremendous learning opportunities that use contextually relevant strategies to advance the science of community engagement and adaptations that could further enhance the uptake of screening in resource-limited settings. These opportunities provide future directions for bidirectional exchange of knowledge between local and global resource-limited settings to advance implementation science and address disparities.

Harmful algal blooms (HABs) are a significant global environmental management challenge, especially with respect to microalgae that produce dangerous natural toxins. Examples of HAB toxin diseases with major global health impact include: ciguatera poisoning, paralytic shellfish poisoning (PSP), amnesic shellfish poisoning (ASP), diarrhetic shellfish poisoning (DSP), and neurotoxic (brevetoxin) shellfish poisoning (NSP). Such diseases affect communities globally and contribute to health inequalities within the United States and beyond. Sharing data and lessons learned about the factors determining bloom occurrence and associated exposure to contaminated seafood across locations can reduce public health risks. Knowledge sharing is particularly important as ongoing global environmental changes seem to alter the intensity, location, and timing of toxic HAB events, reducing the reliability of conventional guidance where toxin risks have been endemic and leading to emerging challenges in new settings. Political changes that disrupt membership in knowledge-sharing networks may impede efforts to share scientific expertise and best practices. In this commentary, we stress the importance of community and expert knowledge sharing for reducing HAB risks, both for vulnerable communities in the United States and globally. Considering the impacts of political changes, we note the indirect engagement sometimes required for continued participation in international coordination programs. As an example, we highlight how lessons learned from a Native-led toxin monitoring and testing program (the Southeast Alaska Tribal Ocean Research partnership) can inform programs in other settings. We also describe how international knowledge is mutually valuable for this program in Southeast Alaska.

Scholars have been interested in the relationship between skin tone and health since at least the 1970s; however, no study, to our knowledge, has analyzed a diverse immigrant sample. In this study, we use the New Immigrant Survey and interactions to examine how skin tone and race/ethnicity - alongside gender - jointly pattern BMI among Legal Permanent Residents. Our approach allows for the analysis of BMI among multiple racial/ethnic immigrant groups, while considering skin tone. Our results document that darker skin shades are associated with higher BMI, but only for women. Further, we also tease out the relationship between gender and race/ethnicity for BMI, which allows us to better understand this critical connection for new immigrants' health in the United States. Together, our results highlight that BMI jointly varies by skin tone and race/ethnicity, which emphasizes the importance of an intersectional approach, especially for new immigrant women of color.

Background: Rates of severe maternal morbidity and maternal mortality (SMM/MM) in the United States are rising. Disparities in SMM/MM persist by race, ethnicity and geography, and could partially be attributed to social determinants of health.

Purpose: Utilizing data from the largest, statewide referral hospital in Alabama, we investigated the relationship between residence in disadvantaged neighborhoods and SMM/MM.

Methods: Data on all pregnancies between 2010 and 2020 were included; SMM/MM cases were identified using CDC definitions. Area deprivation index (ADI) available at the census-block group was geographically linked to individual records and categorized using quintile cutoffs; higher ADI score indicated higher socioeconomic disadvantage. Generalized estimating equation models were used to adjust for spatial autocorrelation and ORs were computed to evaluate the relationship between ADI and SMM/MM, adjusted for covariates including age, race, insurance, residence in medically underserved areas/population (MUAP), and urban/rural residence.

Results: Overall, 32,909 live-birth deliveries were identified, with a prevalence of 9.8% deliveries with SMM/MM with blood transfusion and 5.3% without blood transfusion, respectively. Increased levels of ADI were associated with increased odds of SMM/MM. Compared to women in the lowest quintile, the adjusted OR for SMM/MM among women in highest quintile was 1.78 (95%CI, 1.22-2.59, P=.0027); increasing age, non-Hispanic Black, government insurance and residence in MUAP were also significantly associated with increased odds of SMM/MM.

Conclusion: Our results suggest that residence within disadvantaged neighborhoods may contribute to SMM/MM even after adjusting for patient-level factors. Measures such as ADI can help identify the most vulnerable populations and provide points to intervene.

Background: Diabetes and prediabetes are common among African Americans (AA), but the frequency and predictors of transition between normal, impaired glucose metabolism, and diabetes are not well-described. The aim of this study was to examine glucometabolic transitions and their association with the development of type 2 diabetes (T2D).

Methods: AA participants of the Jackson Heart Study who attended baseline exam (2000-2004) and at least one of two subsequent exams (2005-2008 and 2009-2013, ~8 years) were classified according to glycemic status. Transitions were defined as progression (deterioration) or remission (improvement) of glycemic status. Multinomial logistic regression models with repeated measures were used to estimate the odds ratios (OR) for remission and progression with adjustment for demographic, anthropometric, behavioral, and biochemical factors.

Results: Among 3353 participants, (mean age 54.6±12.3 years), 43% were normoglycemic, 32% were prediabetes, and 25% had diabetes at baseline. For those with normal glucose at a visit, the probability at the next visit (~4years) of having prediabetes or diabetes was 38.5% and 1.8%, respectively. For those with prediabetes, the probability was 9.9% to improve to normal and 19.9% to progress to diabetes. Progression was associated with baseline BMI, diabetes status, triglycerides, family history of diabetes, and weight gain (OR 1.04 kg, 95% CI:1.03-1.06, P=<.0001). Remission was strongly associated with weight loss (OR .97 kg, 95%CI: .95-.98, P<.001).

Conclusions: In AAs, glucometabolic transitions were frequent and most involved deterioration. From a public health perspective additional emphasis should be placed on weight control to preserve glucometabolic status and prevent progression to T2D.

Background: Race and ethnicity are major considerations in the incidence, management, and long-term outcome of ST-elevation myocardial infarction (STEMI) in the United States, but there is limited existing comparative data.

Methods: We assembled a registry in a health system serving Bronx, NY of STEMI patients from 2008-2014 and analyzed differences in presentation, treatment and mortality between Hispanic/Latino (H/L), non-Hispanic Black (NHB) and non-Hispanic White (NHW). Upon discharge post-treatment for STEMI, all patients were followed for a median of 4.4 years (interquartile range 2.5, 6.0). Out of 966 STEMI patients, mean age was 61 years, 46% were H/L and 65% were male. H/Ls and NHBs had a higher prevalence of hypertension and diabetes mellitus than their NHW counterparts, coinciding with a lower socioeconomic status (SES).

Results: The number of critically diseased vessels found at cardiac catheterization and mean troponin levels did not vary by race-ethnicity; neither did the adjusted hazard ratios (HR) for death. However, age-sex adjusted rates of general hospital readmission were higher in NHBs vs NHWs (HR 1.30, P=.03). Age-sex adjusted cardiovascular readmissions rates were higher in H/Ls than NHWs (HR 1.42, P=.03). Age-sex adjusted heart failure readmissions were increased for both H/Ls (HR 2.14, P=.01) and NHBs (HR 2.12, P=.02) over NHWs.

Conclusions: Among STEMI patients, a higher prevalence of modifiable cardiovascular risk factors and a lower SES was seen among NHBs and H/Ls compared to NHWs. Despite similar coronary disease severity and in-hospital death, NHBs and H/Ls had a greater risk of general, cardiovascular and heart failure readmissions post-STEMI compared to NHWs.