Evaluating several biomarkers as predictors of aortic stiffness in young and older Africans, not consuming alcohol based on self-report

Autor: Aletta E. Schutte, Johannes M. Van Rooyen, Carla M.T. Fourie, Melissa Maritz
Rok vydání: 2018
Předmět:
Zdroj: Diabetes Research and Clinical Practice. 142:312-320
ISSN: 0168-8227
DOI: 10.1016/j.diabres.2018.05.048
Popis: Aims Black populations from sub-Saharan Africa have a high prevalence of cardiovascular disease, which places significant strain on public health systems. Aortic stiffness is a prominent risk factor for cardiovascular disease development. We reported earlier that excessive alcohol use predicts aortic stiffness. However, we require a better understanding of other biomarkers involved in stiffness development, beyond alcohol use. Therefore, we determined which biomarkers (metabolic, inflammatory, endothelial activation and oxidative stress) relate to aortic stiffness in young and older black South Africans, self-reporting no alcohol-use. Methods We included cross-sectional data from young (aged 24.7 ± 3.24 years) black adults participating in the African Prospective study on the Early Detection and Identification of Cardiovascular Disease and Hypertension (African-PREDICT) study (N = 216), and five-year follow-up data from older (aged 61.6 ± 9.77 years) black adults (N = 322) participating in the South African leg of the Prospective Urban and Rural Epidemiology study, conducted in the North West Province (PURE-SA-NWP). We excluded all participants self-reporting alcohol use. We determined biomarkers from blood samples, and measured carotid-femoral pulse wave velocity (PWV). Results Of all biomarkers investigated in multivariable-adjusted regression analyses, only plasma glucose (R2 = 0.24, β = 0.21, p Conclusion Dysglycaemia independently predicted aortic stiffness after five years in older black adults. Life-course management of body weight and sugar intake are important in preventing early vascular ageing and subsequent cardiovascular disease development in Africa.
Databáze: OpenAIRE