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Silent witnesses: unveiling the epidemic of femicides in North-west Tshwane, South Africa - a decade of analysis.
BMC Public Health
January 2025
Sefako Makgatho University, Ground Floor, Clin Path Building, Room No. 37. Garankuwa, Pretoria, South Africa.
Background: Femicides, defined as the gender-based killing of women, are a pressing public health issue worldwide, with South Africa experiencing some of the highest rates globally. This study focuses on the North-west region of Tshwane, particularly the Garankuwa area, aiming to address gaps in understanding the epidemiology, demographics, circumstances, and pathology associated with femicides. The Garankuwa mortuary serves as the primary site for this investigation, providing a detailed analysis over a ten-year period, shedding light on contributing risk factors in the context of systemic gender inequality.
View Article and Find Full Text PDFEating disorder treatment experiences among racially/ethnically minoritized samples.
Eat Disord
January 2025
Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA.
Although eating disorders (EDs) affect individuals of all races and ethnicities, racially/ethnically minoritized individuals are less likely to receive ED treatment than White individuals. The present study aimed to compare ED treatment experiences in a sample of racially/ethnically minoritized individuals vs. White participants.
View Article and Find Full Text PDFThe Influence of Structural Factors and Telemedicine on Missed Appointments Among Medicaid-Insured Patients.
J Racial Ethn Health Disparities
January 2025
Valleywise Health, Phoenix, AZ, USA.
Background: Missed clinic appointments disproportionately affect Medicaid-insured patients and residents of socioeconomically deprived neighborhoods. The role of the recent telemedicine expansion in reducing these disparities is unclear. We analyzed the relationship between census tract (CT) poverty level, residential segregation, missed appointments, and the role of telemedicine.
View Article and Find Full Text PDFStructural racism and racial disparities in stroke mortality in the United States, 2021.
Soc Sci Med
January 2025
Department of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Road, Atlanta, GA, USA.
Objectives: To understand place-based drivers of racial disparities in stroke mortality in the United States by investigating the relationship between county-level measures of structural racism and racial disparities in stroke mortality.
Methods: We constructed an additive structural racism score from census-based indicators of racial disproportionality (income, poverty, unemployment, home ownership, education, health insurance) and residential segregation (evenness, isolation), as well as county-level jail incarceration data from the Vera Institute of Justice. We utilized age-standardized, spatially smoothed stroke death rates in 2021 for Black and White adults aged 35-64 years in the United States.
Racial residential segregation is associated with ambient air pollution exposure after adjustment for multilevel sociodemographic factors: Evidence from eight US-based cohorts.
Environ Epidemiol
February 2025
Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington.
Objective: We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.
Methods: We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM and NO levels.
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