Cargando…

The effects of HIV and systolic blood pressure on mortality risk in rural South Africa, 2010–2019: a data note

OBJECTIVES: South Africa is experiencing both HIV and hypertension epidemics. Data were compiled for a study to identify effects of HIV and high systolic blood pressure on mortality risk among people aged 40-plus in a rural South African area experiencing high prevalence of both conditions. We aim t...

Descripción completa

Detalles Bibliográficos
Autores principales: Houle, Brian, Clark, Samuel J, Kabudula, Chodziwadziwa W, Gómez-Olivé, F Xavier, Angotti, Nicole, Schatz, Enid, Tilstra, Andrea M, Mojola, Sanyu A, Menken, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498573/
https://www.ncbi.nlm.nih.gov/pubmed/37700363
http://dx.doi.org/10.1186/s13104-023-06478-w
Descripción
Sumario:OBJECTIVES: South Africa is experiencing both HIV and hypertension epidemics. Data were compiled for a study to identify effects of HIV and high systolic blood pressure on mortality risk among people aged 40-plus in a rural South African area experiencing high prevalence of both conditions. We aim to release the replication data set for this study. DATA DESCRIPTION: The research data comes from the 2010-11 Ha Nakekela (We Care) population-based survey nested in the Agincourt Health and socio-Demographic Surveillance System (AHDSS) located in the northeast region of South Africa. An age-sex-stratified probability sample was drawn from the AHDSS. The public data set includes information on individual socioeconomic characteristics and measures of HIV status and blood pressure for participants aged 40-plus by 2019. The AHDSS, through its annual surveillance, provided mortality data for nine years subsequent to the survey. These data were converted to person-year observations and linked to the individual-level survey data using participants’ AHDSS census identifier. The data can be used to replicate Houle et al. (2022) — which used discrete-time event history models stratified by sex to assess differential mortality risks according to Ha Nakekela measures of HIV-infection, HIV-1 RNA viral load, and systolic blood pressure.