Cardiometabolic disease risk and HIV status in rural South Africa: establishing a baseline

被引:61
|
作者
Clark, Samuel J. [1 ,2 ,3 ,6 ,7 ]
Gomez-Olive, F. Xavier [1 ,6 ]
Houle, Brian [1 ,2 ,9 ]
Thorogood, Margaret [1 ,3 ,8 ]
Klipstein-Grobusch, Kerstin [3 ,4 ]
Angotti, Nicole [1 ,2 ,3 ,10 ,11 ]
Kabudula, Chodziwadziwa [1 ,6 ]
Williams, Jill [2 ,3 ]
Menken, Jane [2 ,3 ]
Tollman, Stephen [1 ,3 ,5 ,6 ]
机构
[1] Univ Witwatersrand, Fac Hlth Sci, Sch Publ Hlth, MRC Wits Rural Publ Hlth & Hlth Transit Res Unit, Johannesburg, South Africa
[2] Univ Colorado, Inst Behav Sci, Boulder, CO 80309 USA
[3] Univ Witwatersrand, Fac Hlth Sci, Sch Publ Hlth, Johannesburg, South Africa
[4] Univ Utrecht, Univ Med Ctr Utrecht, Julius Global Hlth, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[5] Umea Univ, Ctr Global Hlth Res, Umea, Sweden
[6] INDEPTH Network, Accra, Ghana
[7] Univ Washington, Dept Sociol, Seattle, WA 98195 USA
[8] Univ Warwick, Sch Med, Div Hlth Sci, Coventry CV4 7AL, W Midlands, England
[9] Australian Natl Univ, Australian Demog & Social Res Inst, Canberra, ACT, Australia
[10] Amer Univ, Dept Sociol, Washington, DC 20016 USA
[11] Amer Univ, Ctr Hlth Risk & Soc, Washington, DC 20016 USA
基金
英国惠康基金;
关键词
South Africa; Rural; Cardiometabolic risk; HIV/AIDS; HEALTH-CARE; AGINCOURT HEALTH; POPULATION; HYPERTENSION; PREVALENCE; MORTALITY; OLDER;
D O I
10.1186/s12889-015-1467-1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: To inform health care and training, resource and research priorities, it is essential to establish how non-communicable disease risk factors vary by HIV-status in high HIV burden areas; and whether long-term anti-retroviral therapy (ART) plays a modifying role. Methods: As part of a cohort initiation, we conducted a baseline HIV/cardiometabolic risk factor survey in 2010-2011 using an age-sex stratified random sample of ages 15+ in rural South Africa. We modelled cardiometabolic risk factors and their associations by HIV-status and self-reported ART status for ages 18+ using sex-stratified logistic regression models. Results: Age-standardised HIV prevalence in women was 26% (95% CI 24-28%) and 19% (95% CI 17-21) in men. People with untreated HIV were less likely to have a high waist circumference in both women (OR 0.67; 95% CI 0.52-0.86) and men (OR 0.42; 95% CI 0.22-0.82). Untreated women were more likely to have low HDL and LDL, and treated women high triglycerides. Cardiometabolic risk factors increased with age except low HDL. The prevalence of hypertension was high (40% in women; 30% in men). Conclusions: Sub-Saharan Africa is facing intersecting epidemics of HIV and hypertension. In this setting, around half the adult population require long-term care for at least one of HIV, hypertension or diabetes. Together with the adverse effects that HIV and its treatment have on lipids, this may have serious implications for the South African health care system. Monitoring of the interaction of HIV, ART use, and cardiometabolic disease is needed at both individual and population levels.
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页数:9
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