Browsing by Author "Akpa, O.M."
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Item Data Resource Profile: Cardiovascular H3Africa Innovation Resource (CHAIR)(International Journal of Epidemiology, 2019-04-01) Adu, D.; Owolabi, M.O.; Akpa, O.M.; Made, F.; Adebamowo, S.N.; Ojo, A.; Motala, A.A.; Mayosi, B.M.; Ovbiagele, B.; Adebamowo, C.; Tayo, B.; Rotimi, C.; Akinyemi, R.; Gebregziabher, M.; Sarfo, F.; Wahab, K.W.; Parekh, R.S.; Engel, M.E.; Chisala, C.; Peprah, E.; Mensah, G.; Wiley, K.; Troyer, J.; Ramsay, M.Low- and middle-income countries (LMIC) constitute the majority of the world’s population and bear more than 80% of the global burden of cardiovascular disease (CVD).1,2 The recent increases in CVD globally are also reflected in LMIC, where the prevalence of overall deaths from CVD was 28% in 20013 and premature CVD mortality was 37% in 2015.4 The paucity of data regarding the drivers of the CVD epidemic and contextualized solutions is, in part, because less than 10% of the global research resources and facilities for implementation are found in LMIC.5,6 Therefore LMIC are particularly disadvantaged in dealing with the CVD burden with targeted interventions. at the individual and community levels. due to the lack of data availability.Item Polygenic risk scores for CARDINAL study(nature, 2022) Adebamowo, C.A.; Adeyemo, A.; Ashaye, A.; Akpa, O.M.; Chikowore, T.; Choudhury, A.; Fakim, Y.J.; Fatumo, S.; Hanchard, N.; Hauser, M.; Mitchell, B.; Mulder, N.; Ofori-Acquah, S.F.; Owolabi, M.; Ramsay, M.; Tayo, B.; VasanthKumar, A.B.; Zhang, Y.; Adebamowo, S.N.Item Sociodemographic and behavioural risk factors for obesity among community dwelling older adults in Ghana and Nigeria: A secondary analysis of data from the SIREN study(SAGE, 2021) Akpa, O.M.; Okekunle, A.P.; Sarfo, F.S.; Akinyemi, R.O.; Akpalu, A.; Wahab, K.W.; Komolafe, M.; Obiako, R.; Owolabi, L.; Jenkins, C.; Abiodun, A.; Ogbole, G.; Fawale, B.; Akinyemi, J.; Agunloye, A.; Uvere, E.O.; Fakunle, A.; Ovbiagele, B.; Owolabi, M.O.Objectives: To explore the prevalence and risk factors of obesity among older adults from low and middle-income countries (LMICs). Methods: This is a secondary analysis of data obtained from the SIREN study through in-person interviews and measurements from healthy stroke-free older adults (≥60 years). Overweight/obesity was defined as body mass index ≥25 kg/m2 Abdominal obesity was defined as waist-to-hip ratio (WHR) of >0.90 for males and >0.85/females or waist circumference (WC) of >102 cm for males/>88 cm for females. Adjusted odds ratio (aORs) with 95% confidence interval (CIs) of the relationship between obesity and sociodemographic factors were assessed at P < 0.05. Results: Overall, 47.5% of participants were overweight/obese, 76.6% had a larger than recommended WHR, and 54.4% had a larger than recommended WC. Abdominal obesity (WC; aOR: 9.43, CI: 6.99–12.50), being a Nigerian (aOR: 0.55; CI: 0.42–0.72), living in an urban setting (aOR: 1.92; CI: 1.49–2.46), earning >$100/month (aOR: 1.53; CI: 1.19–1.96), and having formal educa tion (aOR: 1.42; CI: 1.08–1.87) were associated with overweight/obesity. Conclusion: Living in urban settings, earning a higher income, and having a formal education were associated with a higher odds of obesity among older adults from LMICs.