Background: In Suriname, a country home to many ethnic groups, a high incidence of tuberculosis (TB) has been found among Indigenous Trio Amerindians. However, whether wider ethnic disparities in TB incidence and its associated risk factors (e.g., diabetes mellitus and HIV) exist in Suriname, is not known. We sought to investigate disparities in TB incidence and its risk factors on ethnicity in Suriname, as this could give way to targeted TB intervention programs.
Methods: Anonymized patient data from 2011 to 2015 was extracted from the National TB Registry and analyzed. Differences in the five-year incidence rates of TB for the six largest ethnic groups-Creole, Hindustani, Indigenous, Javanese, Maroon, and Mixed-were assessed using a chi-square goodness-of-fit test, and TB patient differences regarding ethnicity were evaluated for selected factors using a multinomial logistic regression with Creole patients as reference.
Results: 662 Patients were eligible for analyses with the following ethnic makeup: Creole (36.4%), Hindustani (15.6%), Indigenous (8.6%), Javanese (10.6%), Maroon (15.1%), and Mixed ethnicity (13.7%). Differences in five-year incidence rates for TB were significant, (5, N = 662) = 244.42, < .001, and the highest TB rates were found for Indigenous (280 per 100,000) and Creole people (271 per 100,000). HIV coinfection was a TB risk factor for Creoles (38.2% of these patients were HIV positive). Several variables (i.e., those for drug use) had high levels of incomplete or missing data.
Conclusions: Our study has demonstrated that ethnic disparities in tuberculosis incidence exist in Suriname and that they are associated with specific, known risk factors such as HIV (especially for Creole people). For Indigenous people, risk factors may include diminished access to health care facilities and low socioeconomic status. However, direct data on these factors was unavailable. These findings call for targeted national intervention programs-with special attention given to the vulnerabilities of susceptible ethnic groups-and improved data collection.
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http://dx.doi.org/10.1016/j.jctube.2021.100227 | DOI Listing |
BMC Public Health
January 2025
Faculty of Social Work, University of Toronto, 246 Bloor St W, Toronto, ON, M5S 1V4, Canada.
Background: Loneliness is a public health epidemic in the United States (US), with older adults being vulnerable to experiencing loneliness. Predictors of loneliness are less understood among racial/ethnic groups of US older adults, and few studies have included perceived institutional discrimination (PID), stressful life events (SLE), and perceived neighborhood characteristics (PNC) as antecedent stressors of loneliness in diverse older adult samples. Our study assessed the relationship between these stressors and loneliness among specific racial/ethnic groups of older adults.
View Article and Find Full Text PDFMatern Child Health J
January 2025
College of Nursing, University of Rhode Island, 350 Eddy St, Providence, RI, 02903, USA.
Objectives: This study examines the associations between race and ethnicity and receipt of Baby Friendly Hospital Initiative (BFHI) key clinical practices that support breastfeeding in US hospitals.
Methods: National data from 2016 to 2019 CDC PRAMS were analyzed. Our sample included 60,395 mothers who initiated breastfeeding with healthy, term newborns.
Dermatol Ther (Heidelb)
January 2025
Burkhart Pediatric and Adolescent Dermatology, Cary, NC, USA.
Objectives: Allergic contact dermatitis occurs frequently in children. The proportion of children of color in the US is increasing, and racial and ethnic minority representation is important in pediatric allergic contact dermatitis research. The objectives of our study were to identify differences in age, sex, race and ethnicity among pediatric patch tests obtained from 2017 to 2022.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
Patients that survive firearm injuries frequently require follow-up care. This study aims to explore demographic characteristics of patients presenting to the emergency department for post-firearm injury care and to understand the reasons for their return visits. This was a retrospective chart review of all emergency department and readmission patient encounters for post-firearm injury care during the study period, January 1, 2019 to December 31, 2022, at an urban safety net hospital.
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