Daniel Boateng1, Charles Agyemang2, Erik Beune2, Karlijn Meeks2, Liam Smeeth2, Matthias Schulze2, Juliet Addo2, Ama de-Graft Aikins2, Cecilia Galbete2, Silver Bahendeka2, Ina Danquah2, Peter Agyei-Baffour2, Ellis Owusu-Dabo2, Frank P Mockenhaupt2, Joachim Spranger2, Andre P Kengne2, Diederick E Grobbee2, Karien Stronks2, Kerstin Klipstein-Grobusch2. 1. From Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands (D.B., D.E.G., K.K.-G.); School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana (D.B., P.A.B., E.O.-D.); Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, The Netherlands (C.A., E.B., K.M., K.S.); Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom (L.S., J.A.); Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.S., C.G., I.D.); Regional Institute for Population Studies, University of Ghana, Legon, Ghana (A.d.-G.A.); Mother Kevin Postgraduate Medical School, Uganda Martyrs University, Kampala (S.B.); Kumasi Centre for Collaborative Research, Kwame NKrumah University of Science and Technology, Ghana (E.O.-D.); Institute of Tropical Medicine and International Health, Charité-University Medicine Berlin, Germany (F.P.M.); Charite Center for Cardiovascular Research, Berlin, Germany (J.S.); Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town, South Africa (A.P.K.); and Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa (K.K.-G.). d.boateng@umcutrecht.nl. 2. From Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands (D.B., D.E.G., K.K.-G.); School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana (D.B., P.A.B., E.O.-D.); Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, The Netherlands (C.A., E.B., K.M., K.S.); Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom (L.S., J.A.); Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (M.S., C.G., I.D.); Regional Institute for Population Studies, University of Ghana, Legon, Ghana (A.d.-G.A.); Mother Kevin Postgraduate Medical School, Uganda Martyrs University, Kampala (S.B.); Kumasi Centre for Collaborative Research, Kwame NKrumah University of Science and Technology, Ghana (E.O.-D.); Institute of Tropical Medicine and International Health, Charité-University Medicine Berlin, Germany (F.P.M.); Charite Center for Cardiovascular Research, Berlin, Germany (J.S.); Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town, South Africa (A.P.K.); and Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa (K.K.-G.).
Abstract
BACKGROUND: For migrant populations from sub-Saharan Africa, adverse cardiovascular disease (CVD) risk factors have been observed to be higher than found in their home country-based counterparts or among the host populations in high-income countries. Differences in absolute overall CVD risk, however, remain largely unexplained. We, therefore, predicted the differences in 10-year CVD risk among sub-Saharan African migrants (Ghanaians) living in 3 European cities and Ghana. METHODS AND RESULTS: For 3864 subjects aged 40 to 70 years from the multicenter RODAM study (Research on Obesity and Diabetes Among African Migrants) conducted among Ghanaian adults residing in rural and urban Ghana and 3 European cities (Amsterdam, Berlin, and London), 10-year risk of CVD was estimated using the Pooled Cohort Equations with estimates ≥7.5% defining high CVD risk. Logistic regressions were used to determine the association of migration on CVD risk. The proportion with CVD risk ≥7.5% among Ghanaian men was 34.7% in rural Ghana, 45.4% in urban Ghana, 53.9% in Amsterdam, 61.0% in Berlin, and 52.2% in London. Compared with rural Ghana, CVD risk was significantly increased for Ghanaian men living in Berlin (adjusted odds ratio, 2.80; 95% confidence interval, 1.76-4.45) and Amsterdam (1.88; 1.25-2.84). Increased risk observed for men was largely not seen for women. CVD risk increased with longer stay in Europe. CONCLUSIONS: Knowledge about predictors of increased CVD risk among sub-Saharan African migrants in Europe and nonmigrants in urban centers will inform and support targeted health care and interventions to these populations.
BACKGROUND: For migrant populations from sub-Saharan Africa, adverse cardiovascular disease (CVD) risk factors have been observed to be higher than found in their home country-based counterparts or among the host populations in high-income countries. Differences in absolute overall CVD risk, however, remain largely unexplained. We, therefore, predicted the differences in 10-year CVD risk among sub-Saharan African migrants (Ghanaians) living in 3 European cities and Ghana. METHODS AND RESULTS: For 3864 subjects aged 40 to 70 years from the multicenter RODAM study (Research on Obesity and Diabetes Among African Migrants) conducted among Ghanaian adults residing in rural and urban Ghana and 3 European cities (Amsterdam, Berlin, and London), 10-year risk of CVD was estimated using the Pooled Cohort Equations with estimates ≥7.5% defining high CVD risk. Logistic regressions were used to determine the association of migration on CVD risk. The proportion with CVD risk ≥7.5% among Ghanaian men was 34.7% in rural Ghana, 45.4% in urban Ghana, 53.9% in Amsterdam, 61.0% in Berlin, and 52.2% in London. Compared with rural Ghana, CVD risk was significantly increased for Ghanaian men living in Berlin (adjusted odds ratio, 2.80; 95% confidence interval, 1.76-4.45) and Amsterdam (1.88; 1.25-2.84). Increased risk observed for men was largely not seen for women. CVD risk increased with longer stay in Europe. CONCLUSIONS: Knowledge about predictors of increased CVD risk among sub-Saharan African migrants in Europe and nonmigrants in urban centers will inform and support targeted health care and interventions to these populations.
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