Seminar by Dr Adeniyi Francis Fagbamigbe (University of Ibadan, Nigeria)

Abstract

Ageing populations have led to a growing prevalence of multimorbidity. Cardiometabolic multimorbidity (CM), the co-existence of two or more cardiometabolic disorders in the same person, is rapidly increasing. In the study to be presented, the prevalence and risk factors associated with CM in a population-based sample of South African adults had been examined. Data were analysed on individuals aged ≥15 years from the South African. CM was defined as having ≥2 of hypertension, diabetes, stroke, and angina. Multivariable logistic regression was used to investigate the sociodemographic and modifiable risk factors associated with CM. The association of CM with the functional status of individuals was examined using logistic regression, where the WHO DAS 2.0 12-item instrument measured functional status. In this presentation I will, in particular, discuss the results of this research.

Bionote

Adeniyi is an Associate Professor of Biostatistics & Health Data Science at the Department of Epidemiology and Medical Statistics, University of Ibadan, Nigeria. His research activities have focused on the development and application of statistics to real-life situations, data mining, data wrangling, big data analysis, use of data science and machine learning algorithms to answer multimorbidity-related questions of which conditions are prevalent, found together and evolve over years across sex, deprivation, and age. He has a keen interest in the development and application of survival analysis techniques to understand the behaviours of time-to-event data as applicable in clinical and public health. He is a graduate fellow of the Consortium for Advanced Research Training in Africa (CARTA) and an Affiliate of the African Academy of Sciences. He had post-doctoral trainings at North-West University, South Africa and the University of Warwick, UK. With about 250 peer-reviewed publications, he has Scopus H-Index of 32, Google Scholar H-index of 42 and i10 index of 125. Adeniyi made the 2024 Africa’s Top 100 Scientists Recognition and the 2024 prestigious career-long and single-year lists of world’s top 2% scientists.