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

被引:0
作者
Houle, Brian [1 ,2 ]
Clark, Samuel J. [2 ,3 ]
Kabudula, Chodziwadziwa W. [2 ]
Gomez-Olive, F. Xavier [2 ]
Angotti, Nicole [2 ,4 ]
Schatz, Enid [2 ,5 ]
Tilstra, Andrea M. [6 ,7 ]
Mojola, Sanyu A. [2 ,8 ,9 ]
Menken, Jane [10 ]
机构
[1] Australian Natl Univ, Sch Demog, Canberra, Australia
[2] Univ Witwatersrand, Sch Publ Hlth, Fac Hlth Sci, MRC Wits Rural Publ Hlth & Hlth Transit Res Unit A, Johannesburg, South Africa
[3] Ohio State Univ, Dept Sociol, Columbus, OH USA
[4] Amer Univ, Dept Sociol, Washington, DC USA
[5] Univ Missouri, Dept Publ Hlth, Columbia, MO USA
[6] Univ Oxford, Leverhulme Ctr Demog Sci, Nuffield Dept Populat Hlth, Oxford, England
[7] Univ Oxford, Nuffield Coll, Oxford, England
[8] Princeton Univ, Sch Publ & Int Affairs, Dept Sociol, Princeton, NJ USA
[9] Princeton Univ, Off Populat Res, Princeton, NJ USA
[10] Univ Colorado, Inst Behav Sci, Boulder, CO USA
关键词
Mortality; Rural; South Africa; HIV; Hypertension; Blood pressure; Morbidity; Ageing; OLDER-ADULTS; PREVALENCE;
D O I
10.1186/s13104-023-06478-w
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
ObjectivesSouth 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 descriptionThe 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.
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