Estimating the changing burden of disease attributable to low levels of physical activity in South Africa for 2000, 2006 and 2012

Autor: Neethling, I, Lambert, E V, Cois, A, Roomaney, R A, Awotiwon, O F, Pacella, R, Bradshaw, D, Pillay-van Wyk, V
Rok vydání: 2022
Předmět:
Zdroj: South African Medical Journal; Vol. 112 No. 8b (2022); 639-648
ISSN: 2078-5135
0256-9574
DOI: 10.7196/samj.2022.v112i8b.1648
Popis: Background. Physical activity is associated with a lower risk of cardiovascular outcomes, certain cancers and diabetes. The previous South African Comparative Risk Assessment (SACRA1) study assessed the attributable burden of low physical activity for 2000, but updated estimates are required, as well as an assessment of trends over time.Objective. To estimate the national prevalence of physical activity by age, year and sex and to quantify the burden of disease attributable to low physical activity in South Africa (SA) for 2000, 2006 and 2012.Methods. Comparative risk assessment methodology was used. Physical activity was treated as a categorical variable with four categories, i.e. inactive, active, very active and highly active. Prevalence estimates of physical activity levels, representing the three different years, were derived from two national surveys. Physical activity estimates together with the relative risks from the Global Burden of Disease, Injuries, and Risk Factors (GBD) 2016 study were used to calculate population attributable fractions due to inactive, active and very active levels of physical activity relative to highly active levels considered to be the theoretical minimum risk exposure (>8 000 metabolic equivalent of time (MET)-min/wk), in accordance with the GBD 2016 study. These were applied to relevant disease outcomes sourced from the Second National Burden of Disease Study to calculate attributable deaths, years of life lost, years lived with disability and disability adjusted life years (DALYs). Uncertainty analysis was performed using Monte Carlo simulation.Results. The prevalence of physical inactivity (
Databáze: OpenAIRE