Felix P Chilunga1, Daniel Boateng2, Peter Henneman3, Erik Beune4, Ana Requena-Méndez5, Karlijn Meeks4, Liam Smeeth6, Juliet Addo6, Silver Bahendeka7, Ina Danquah8, Matthias B Schulze9, Kerstin Klipstein-Grobusch10, Marcel M A M Mannens3, Charles Agyemang4. 1. Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands. Electronic address: f.p.chilunga@amc.uva.nl. 2. Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands; School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. 3. Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands. 4. Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, the Netherlands. 5. ISGlobal, Barcelona Ctr. Int. Health Res. (CRESIB), Hospital Clínic-Universitat de Barcelona, Spain. 6. Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom. 7. MKPGMS-Uganda Martyrs University, Kampala, Uganda. 8. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universitaet zu Berlin, Berlin Institute of Health, Institute for Social Medicine, Epidemiology and Health Economics, Germany. 9. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany. 10. Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands; Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Abstract
BACKGROUND: Psychosocial stress could be an underlying factor for emerging risk of cardiovascular diseases (CVD) in Africans. We assessed the association between psychosocial stress and estimated CVD risk among non-migrant Ghanaians and migrant Ghanaians living in Europe. METHODS: Data from the Research on Obesity and Diabetes among African Migrants (RODAM) study, involving 2315 migrant and 1549 non-migrants aged 40-70 years were used for this study. Psychosocial stress included self-reported stress at work and home, recent negative life events and perceived discrimination. CVD risk was estimated using the pooled cohort equations with estimates ≥7.5% over 10 years defining high CVD risk. Adjusted Odds Ratios (AOR) and 95% confidence intervals (95% CI) were calculated by logistic regression with adjustments for socioeconomic status. RESULTS: Prevalence for migrant and non-migrants were; 72.5% and 84.9% for psychosocial stress and 35.9% and 27.4% for high estimated CVD risk. Stress at work and home was not associated with a high estimated CVD risk in either group. Recent negative life events were associated with a high estimated CVD risk in non-migrants only (AOR 1.29, 95%CI 1.02-1.68, p = 0.048). Higher levels of perceived discrimination were associated with a high estimated CVD risk in migrants only (AOR 2.74, 95%CI 1.95-3.86, p < 0.001). CONCLUSIONS: Among migrant populations, higher levels of perceived discrimination were associated with a high estimated CVD risk, and this was also true for recent negative life events among non-migrant populations. Further research is needed to identify context specific mechanisms that underlie associations between psychological characteristics and CVD risk.
BACKGROUND:Psychosocial stress could be an underlying factor for emerging risk of cardiovascular diseases (CVD) in Africans. We assessed the association between psychosocial stress and estimated CVD risk among non-migrant Ghanaians and migrant Ghanaians living in Europe. METHODS: Data from the Research on Obesity and Diabetes among African Migrants (RODAM) study, involving 2315 migrant and 1549 non-migrants aged 40-70 years were used for this study. Psychosocial stress included self-reported stress at work and home, recent negative life events and perceived discrimination. CVD risk was estimated using the pooled cohort equations with estimates ≥7.5% over 10 years defining high CVD risk. Adjusted Odds Ratios (AOR) and 95% confidence intervals (95% CI) were calculated by logistic regression with adjustments for socioeconomic status. RESULTS: Prevalence for migrant and non-migrants were; 72.5% and 84.9% for psychosocial stress and 35.9% and 27.4% for high estimated CVD risk. Stress at work and home was not associated with a high estimated CVD risk in either group. Recent negative life events were associated with a high estimated CVD risk in non-migrants only (AOR 1.29, 95%CI 1.02-1.68, p = 0.048). Higher levels of perceived discrimination were associated with a high estimated CVD risk in migrants only (AOR 2.74, 95%CI 1.95-3.86, p < 0.001). CONCLUSIONS: Among migrant populations, higher levels of perceived discrimination were associated with a high estimated CVD risk, and this was also true for recent negative life events among non-migrant populations. Further research is needed to identify context specific mechanisms that underlie associations between psychological characteristics and CVD risk.
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