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ABSTRACT: Background and aim
The prevalence of type 2 diabetes (T2D) is rapidly increasing in Sub-Saharan Africa (SSA). T2D increases the risk of premature death and reduces quality of life and work productivity. This population life table modelling analysis evaluated the impact of T2D in terms of productivity-adjusted life years (PALYs) on the South African working-age population.Research design and methods
Life table modelling was employed to simulate the follow-up of individuals aged 20-65 with T2D in South Africa (SA). Two life table models were developed to simulate health outcomes for a SA cohort with and without diabetes. The difference in the number of deaths, years of life lost (YLL), and PALYs lost between the two cohorts represented the burden of diabetes. Scenarios were s
SUBMITTER: Hellebo A
PROVIDER: S-EPMC11636673 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature