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

Samuel J. ClarkDepartment of Sociology, University of Washington, Seattle, USA. [email protected]F. Xavier Gómez‐OlivéINDEPTH Network, Accra, Ghana. [email protected]Brian HouleAustralian Demographic and Social Research Institute, Australian National University, Canberra, Australia. [email protected]Margaret ThorogoodDivision of Health Sciences, University of Warwick Medical School, Coventry, UK. [email protected]Kerstin Klipstein‐GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands. [email protected]Nicole AngottiDepartment of Sociology and Center on Health, Risk, and Society, American University, Washington, DC, USA. [email protected]Chodziwadziwa KabudulaINDEPTH Network, Accra, Ghana. [email protected]Jill WilliamsInstitute of Behavioral Science, University of Colorado Boulder, Boulder, USA. [email protected]Jane MenkenInstitute of Behavioral Science, University of Colorado Boulder, Boulder, USA. [email protected]Stephen TollmanCentre for Global Health Research, Umeå University, Umeå, Sweden. [email protected]
BMC Public Healthjournal2015en
ABI

Аннотация

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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