1. Health Disparities and the HIV and STI Epidemics: What Do the Data Tell Us From Infants to Older Adults?

Author(s):  
Kim M. Williams ◽  
Anna Satcher Johnson
2021 ◽  
Vol 65 (2) ◽  
pp. 257-273
Author(s):  
Michelle M. Henshaw ◽  
Steven Karpas

2021 ◽  
pp. 1-14
Author(s):  
James E. Galvin ◽  
Stephanie Chrisphonte ◽  
Lun-Ching Chang

Background: Socioeconomic status (SES), race, ethnicity, and medical comorbidities may contribute to Alzheimer’s disease and related disorders (ADRD) health disparities. Objective: Analyze effects of social and medical determinants on cognition in 374 multicultural older adults participating in a community-based dementia screening program. Methods: We used the Montreal Cognitive Assessment (MoCA) and AD8 as measures of cognition, and a 3-way race/ethnicity variable (White, African American, Hispanic) and SES (Hollingshead index) as predictors. Potential contributors to health disparities included: age, sex, education, total medical comorbidities, health self-ratings, and depression. We applied K-means cluster analyses to study medical and social dimension effects on cognitive outcomes. Results: African Americans and Hispanics had lower SES status and cognitive performance compared with similarly aged Whites. We defined three clusters based on age and SES. Cluster #1 and #3 differed by SES but not age, while cluster #2 was younger with midlevel. Cluster #1 experienced the worse health outcomes while cluster #3 had the best health outcomes. Within each cluster, White participants had higher SES and better health outcomes, African Americans had the worst physical performance, and Hispanics had the most depressive symptoms. In cross-cluster comparisons, higher SES led to better health outcomes for all participants. Conclusion: SES may contribute to disparities in access to healthcare services, while race and ethnicity may contribute to disparities in the quality and extent of services received. Our study highlights the need to critically address potential interactions between race, ethnicity, and SES which may better explain disparities in ADRD health outcomes.


2003 ◽  
Vol 13 (3) ◽  
pp. 1-7 ◽  
Author(s):  
K. E. Whitfield ◽  
M. Hayward

2017 ◽  
Vol 34 (3) ◽  
pp. 293-303 ◽  
Author(s):  
Steven A. Cohen ◽  
Sarah K. Cook ◽  
Trisha A. Sando ◽  
Natalie J. Sabik

Author(s):  
Shelley H. Liu ◽  
Bian Liu ◽  
Yan Li ◽  
Agnes Norbury

AbstractObjectiveTo identify factors associated with local variation in the time course of COVID-19 case burden in England.MethodsWe analyzed laboratory-confirmed COVID-19 case data for 150 upper tier local authorities, from the period from January 30 to May 6, 2020, as reported by Public Health England. Using methods suitable for time-series data, we identified clusters of local authorities with distinct trajectories of daily cases, after adjusting for population size. We then tested for differences in sociodemographic, economic, and health disparity factors between these clusters.ResultsTwo clusters of local authorities were identified: a higher case trajectory that rose faster over time to reach higher peak infection levels, and a lower case trajectory cluster that emerged more slowly, and had a lower peak. The higher case trajectory cluster (79 local authorities) had higher population density (p<0.001), higher proportion of Black and Asian residents (p=0.03; p=0.02), higher multiple deprivation scores (p<0.001), a lower proportions of older adults (p=0.005), and higher preventable mortality rates (p=0.03). Local authorities with higher proportions of Black residents were more likely to belong to the high case trajectory cluster, even after adjusting for population density, deprivation, proportion of older adults and preventable mortality (p=0.04).ConclusionAreas belonging to the trajectory with significantly higher COVID-19 case burden were more deprived, and had higher proportions of ethnic minority residents. A higher proportion of Black residents in regions belonging to the high trajectory cluster was not fully explained by differences in population density, deprivation, and other overall health disparities between the clusters.What is already known on this subject?Emerging evidence suggests that the burden of COVID-19 infection is falling unequally across England, with provisional data suggesting higher overall infection and mortality rates for Black, Asian, and mixed race/ethnicity individuals.What does this study add?We found that regions with greater socioeconomic deprivation and poorer population health measures showed a faster rise in COVID-19 cases, and reached higher peak case levels. Areas with a higher proportion of Black residents were more likely to show this kind of time course, even after adjusting for multiple co-occurring factors, including population density. This finding merits further investigation in terms of the intersecting vulnerability factors Black and other minority ethnic individuals face in England (e.g. proportion of people working in service and caring roles, and the role of structural discrimination), and has implications for the ongoing allocation of public health resources, in order to better mitigate such inequalities.


2012 ◽  
Vol 24 (6) ◽  
pp. 1018-1043 ◽  
Author(s):  
Angela D. Thrasher ◽  
Olivio J. Clay ◽  
Chandra L. Ford ◽  
Anita L. Stewart

2009 ◽  
Author(s):  
Peter Lichtenberg ◽  
Deborah DiGilio

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