Browsing by Author "Eric Maimela"

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    Cohort Profile: South African Population Research Infrastructure Network (SAPRIN)
    (2021-12-30) Mark A Collinson; Taurayi Mudzana; Tinofa Mutevedzi; Kathleen Kahn; Eric Maimela; F Xavier Go´ mez-Olive´; Thobeka Mngomezulu; Dickman Gareta; Chodziwadziwa W Kabudula; Rathani Nemuramba; Joseph Tlouyamma; Stephen Tollman; Kobus Herbst
    South Africa is striving to emerge from a legacy of gross social injustice and consequent health and socioeconomic inequality, to becoming a country where all residents have opportunities to build productive lives. However, recent declines in economic performance and unemployment, exacerbated by weaknesses in national and provincial level governance, coupled with colliding epidemics of HIV/ AIDS and non-communicable diseases, have left the country’s leadership with serious, seemingly intractable challenges. Moreover as with most countries, the effects of stringent sociobehavioural responses to the coronavirus disease 2019 (COVID-19), with serious economic consequences, serve to amplify such challenges.
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    Identifying the prevalence and correlates of multimorbidity in middle-aged men and women: a cross-sectional populationbased study in four African countries
    (2023-02-15) Lisa K Micklesfield; Richard Munthali; Godfred Agongo; Gershim Asiki; Palwende Boua; Solomon SR Choma; Nigel J Crowther; June Fabian; Francesc Xavier Gómez-Olivé; Chodziwadziwa Kabudula; Eric Maimela; Shukri F Mohamed; Engelbert A Nonterah; Frederick J Raal; Hermann Sorgho; Furahini D Tluway; Alisha N Wade; Shane A Norris; Michele Ramsay
    Objectives To determine the prevalence of multimorbidity, to identify which chronic conditions cluster together and to identify factors associated with a greater risk for multimorbidity in sub-Saharan Africa (SSA). Design Cross-sectional, multicentre, population-based study. Setting Six urban and rural communities in four subSaharan African countries. Participants Men (n=4808) and women (n=5892) between the ages of 40 and 60 years from the AWI-Gen study. Measures Sociodemographic and anthropometric data, and multimorbidity as defined by the presence of two or more of the following conditions: HIV infection, cardiovascular disease, chronic kidney disease, asthma, diabetes, dyslipidaemia, hypertension. Results Multimorbidity prevalence was higher in women compared with men (47.2% vs 35%), and higher in South African men and women compared with their East and West African counterparts. The most common disease combination at all sites was dyslipidaemia and hypertension, with this combination being more prevalent in South African women than any single disease (25% vs 21.6%). Age and body mass index were associated with a higher risk of multimorbidity in men and women; however, lifestyle correlates such as smoking and physical activity were different between the sexes. Conclusions The high prevalence of multimorbidity in middle-aged adults in SSA is of concern, with women currently at higher risk. This prevalence is expected to increase in men, as well as in the East and West African region with the ongoing epidemiological transition. Identifying common disease clusters and correlates of multimorbidity is critical to providing effective interventions.
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    Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits
    (2022-05-11) Ananyo Choudhury; Jean-Tristan Brandenburg; Tinashe Chikowore; Dhriti Sengupta; Palwende Romuald Boua; Nigel J. Crowther; Godfred Agongo; Gershim Asik; F. Xavier Gómez-Olivé; Isaac Kisiangani; Eric Maimela; Matshane Masemola-Maphutha; Lisa K. Micklesfield; Engelbert A. Nonterah; Shane A. Norris; Hermann Sorgho; Halidou Tinto; Stephen Tollman; Sarah E. Graham; Cristen J. Willer; AWI-Gen study; H3Africa Consortium; Scott Hazelhurst; Michèle Ramsay
    Genetic associations for lipid traits have identified hundreds of variants with clear differences across European, Asian and African studies. Based on a sub-Saharan-African GWAS for lipid traits in the population cross-sectional AWI-Gen cohort (N = 10,603) we report a novel LDL-C association in the GATB region (P-value=1.56 × 10−8). Meta-analysis with four other African cohorts (N = 23,718) provides supporting evidence for the LDL-C association with the GATB/FHIP1A region and identifies a novel triglyceride association signal close to the FHIT gene (P-value =2.66 × 10−8). Our data enable fine-mapping of several well-known lipid-trait loci including LDLR, PMFBP1 and LPA. The transferability of signals detected in two large global studies (GLGC and PAGE) consistently improves with an increase in the size of the African replication cohort. Polygenic risk score analysis shows increased predictive accuracy for LDL-C levels with the narrowing of genetic distance between the discovery dataset and our cohort. Novel discovery is enhanced with the inclusion of African data.