Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey

Kadari Cisse,1,2 Sekou Samadoulougou,3 Mady Ouedraogo,4 Bruno Bonnechère,5 Jean-Marie Degryse,6,7 Seni Kouanda,2,8 Fati Kirakoya-Samadoulougou1 1Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium; 2De...

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Main Authors: Cisse K, Samadoulougou S, Ouedraogo M, Bonnechère B, Degryse JM, Kouanda S, Kirakoya-Samadoulougou F
Format: Article
Language:English
Published: Dove Medical Press 2021-07-01
Series:Risk Management and Healthcare Policy
Subjects:
Online Access:https://www.dovepress.com/geographic-and-sociodemographic-disparities-in-cardiovascular-risk-in--peer-reviewed-fulltext-article-RMHP
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spelling doaj-4d67e9f73d364f679ffc1868c280e95d2021-07-11T19:23:06ZengDove Medical PressRisk Management and Healthcare Policy1179-15942021-07-01Volume 142863287666715Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional SurveyCisse KSamadoulougou SOuedraogo MBonnechère BDegryse JMKouanda SKirakoya-Samadoulougou FKadari Cisse,1,2 Sekou Samadoulougou,3 Mady Ouedraogo,4 Bruno Bonnechère,5 Jean-Marie Degryse,6,7 Seni Kouanda,2,8 Fati Kirakoya-Samadoulougou1 1Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium; 2Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso; 3Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Centre, Quebec, G1V 4G5, Canada; 4Institut National de la Statistique et de la Démographique, Ouagadougou, Burkina Faso; 5Department of Psychiatry, University of Cambridge, Cambridge, United-Kingdom; 6Institut de Recherche Santé et Société, UCLouvain, Bruxelles, Belgium; 7Department of Public Health and Primary Care, KULeuven, Leuven, Belgium; 8Institut Africain de Santé Publique, Ouagadougou, Burkina FasoCorrespondence: Kadari CisseDepartement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, 03 BP 7192, Burkina FasoTel +226 76 42 54 86Fax + 226 50 36 03 94Email cisskad4@gmail.comBackground: Cardiovascular disease (CVD) risk assessment is a critical step in the current approach to the primary prevention of CVD, particularly in low-income countries such as Burkina Faso. In this study, we aimed to assess the geographic and sociodemographic disparities of the ten-year cardiovascular risk in Burkina Faso.Methods: We conducted a secondary analysis of the data from the first nationwide survey using the World Health Organization (WHO) STEPwise approach. Ten-year cardiovascular risk was determined using the WHO 2019 updated risk chart (WHO risk) as main outcome, and the Framingham risk score (FRS) and the Globorisk chart for secondary outcomes. We performed a modified Poisson regression model using a generalized estimating equation to examine the association between CVD risk and sociodemographic characteristics.Results: A total of 3081 participants aged 30 to 64 years were included in this analysis. The overall age and sex-standardized mean of absolute ten-year cardiovascular risk assessed using the WHO risk chart was 2.5% (95% CI: 2.4– 2.6), ranging from 2.3% (95% CI: 2.2– 2.4) in Centre Est to 3.0% (95% CI: 2.8– 3.2) in the Centre region. It was 4.6% (95% CI: 4.4– 4.8) for FRS and 4.0% (95% CI: 3.8– 4.1) for Globorisk. Regarding categorized CVD risk (absolute risk ≥ 10%), we found out that the age and sex-standardized prevalence of elevated risk was 1.7% (95% CI: 1.3– 2.1) for WHO risk, 10.4% (95% CI: 9.6– 11.2) for FRS, and 5.9% (95% CI: 5.1– 6.6) for Globorisk. For all of the three risk scores, elevated CVD risk was associated with increasing age, men, higher education, urban residence, and health region (Centre).Conclusion: We found sociodemographic and geographic inequalities in the ten-year CVD risk in Burkina Faso regardless of risk score used. Therefore, population-wide interventions are needed to improve detection and management of adult in the higher CVD risk groups in Burkina Faso.Keywords: geographic disparities, sociodemographic disparities, ten-year cardiovascular risk, Burkina Fasohttps://www.dovepress.com/geographic-and-sociodemographic-disparities-in-cardiovascular-risk-in--peer-reviewed-fulltext-article-RMHPgeographic disparitiessociodemographic disparitiesten-year cardiovascular riskburkina faso
collection DOAJ
language English
format Article
sources DOAJ
author Cisse K
Samadoulougou S
Ouedraogo M
Bonnechère B
Degryse JM
Kouanda S
Kirakoya-Samadoulougou F
spellingShingle Cisse K
Samadoulougou S
Ouedraogo M
Bonnechère B
Degryse JM
Kouanda S
Kirakoya-Samadoulougou F
Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
Risk Management and Healthcare Policy
geographic disparities
sociodemographic disparities
ten-year cardiovascular risk
burkina faso
author_facet Cisse K
Samadoulougou S
Ouedraogo M
Bonnechère B
Degryse JM
Kouanda S
Kirakoya-Samadoulougou F
author_sort Cisse K
title Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
title_short Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
title_full Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
title_fullStr Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
title_full_unstemmed Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey
title_sort geographic and sociodemographic disparities in cardiovascular risk in burkina faso: findings from a nationwide cross-sectional survey
publisher Dove Medical Press
series Risk Management and Healthcare Policy
issn 1179-1594
publishDate 2021-07-01
description Kadari Cisse,1,2 Sekou Samadoulougou,3 Mady Ouedraogo,4 Bruno Bonnechère,5 Jean-Marie Degryse,6,7 Seni Kouanda,2,8 Fati Kirakoya-Samadoulougou1 1Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium; 2Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso; 3Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Centre, Quebec, G1V 4G5, Canada; 4Institut National de la Statistique et de la Démographique, Ouagadougou, Burkina Faso; 5Department of Psychiatry, University of Cambridge, Cambridge, United-Kingdom; 6Institut de Recherche Santé et Société, UCLouvain, Bruxelles, Belgium; 7Department of Public Health and Primary Care, KULeuven, Leuven, Belgium; 8Institut Africain de Santé Publique, Ouagadougou, Burkina FasoCorrespondence: Kadari CisseDepartement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, 03 BP 7192, Burkina FasoTel +226 76 42 54 86Fax + 226 50 36 03 94Email cisskad4@gmail.comBackground: Cardiovascular disease (CVD) risk assessment is a critical step in the current approach to the primary prevention of CVD, particularly in low-income countries such as Burkina Faso. In this study, we aimed to assess the geographic and sociodemographic disparities of the ten-year cardiovascular risk in Burkina Faso.Methods: We conducted a secondary analysis of the data from the first nationwide survey using the World Health Organization (WHO) STEPwise approach. Ten-year cardiovascular risk was determined using the WHO 2019 updated risk chart (WHO risk) as main outcome, and the Framingham risk score (FRS) and the Globorisk chart for secondary outcomes. We performed a modified Poisson regression model using a generalized estimating equation to examine the association between CVD risk and sociodemographic characteristics.Results: A total of 3081 participants aged 30 to 64 years were included in this analysis. The overall age and sex-standardized mean of absolute ten-year cardiovascular risk assessed using the WHO risk chart was 2.5% (95% CI: 2.4– 2.6), ranging from 2.3% (95% CI: 2.2– 2.4) in Centre Est to 3.0% (95% CI: 2.8– 3.2) in the Centre region. It was 4.6% (95% CI: 4.4– 4.8) for FRS and 4.0% (95% CI: 3.8– 4.1) for Globorisk. Regarding categorized CVD risk (absolute risk ≥ 10%), we found out that the age and sex-standardized prevalence of elevated risk was 1.7% (95% CI: 1.3– 2.1) for WHO risk, 10.4% (95% CI: 9.6– 11.2) for FRS, and 5.9% (95% CI: 5.1– 6.6) for Globorisk. For all of the three risk scores, elevated CVD risk was associated with increasing age, men, higher education, urban residence, and health region (Centre).Conclusion: We found sociodemographic and geographic inequalities in the ten-year CVD risk in Burkina Faso regardless of risk score used. Therefore, population-wide interventions are needed to improve detection and management of adult in the higher CVD risk groups in Burkina Faso.Keywords: geographic disparities, sociodemographic disparities, ten-year cardiovascular risk, Burkina Faso
topic geographic disparities
sociodemographic disparities
ten-year cardiovascular risk
burkina faso
url https://www.dovepress.com/geographic-and-sociodemographic-disparities-in-cardiovascular-risk-in--peer-reviewed-fulltext-article-RMHP
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