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Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis

BACKGROUND: Dyslipidemia is a common public health problem in Africa. It has emerged as an important cardiovascular risk factor. It has been steadily increasing due to economic growth, urbanization, and unhealthy dietary pattern. Therefore, it is essential to identify determinants of dyslipidemia to...

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Autores principales: Obsa, Mohammed S., Ataro, Getu, Awoke, Nefsu, Jemal, Bedru, Tilahun, Tamiru, Ayalew, Nugusu, Woldegeorgis, Beshada Z., Azeze, Gedion A., Haji, Yusuf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904727/
https://www.ncbi.nlm.nih.gov/pubmed/35284497
http://dx.doi.org/10.3389/fcvm.2021.778891
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author Obsa, Mohammed S.
Ataro, Getu
Awoke, Nefsu
Jemal, Bedru
Tilahun, Tamiru
Ayalew, Nugusu
Woldegeorgis, Beshada Z.
Azeze, Gedion A.
Haji, Yusuf
author_facet Obsa, Mohammed S.
Ataro, Getu
Awoke, Nefsu
Jemal, Bedru
Tilahun, Tamiru
Ayalew, Nugusu
Woldegeorgis, Beshada Z.
Azeze, Gedion A.
Haji, Yusuf
author_sort Obsa, Mohammed S.
collection PubMed
description BACKGROUND: Dyslipidemia is a common public health problem in Africa. It has emerged as an important cardiovascular risk factor. It has been steadily increasing due to economic growth, urbanization, and unhealthy dietary pattern. Therefore, it is essential to identify determinants of dyslipidemia to prevent the condition and reduce its long-term sequel. METHODS: Combinations of search terms with Boolean operators were used to retrieve studies from PubMed, EMBASE, Cochrane Database, Cinahl, Scopus, Mednar, and Google Scholar. The methodological quality of each article was evaluated based on the 2017 Joanna Briggs Institute (JBI) Critical Appraisal checklist for prevalence studies. After evaluation of each study against these criteria, studies with a minimum score of 7 or above out of 9 JBI checklists were included. We included articles presented in the English language. The Cochrane Q test was used to assess the heterogeneity across studies. The visual assessment of publication bias was done by creating a funnel plot. The possible causes of heterogeneity were explored by subgroup analyses. Egger's weighted regression test was used to assess the presence of publication bias. Statistical analyses were done by using the STATA software version 14. RESULT: A total of 24 articles involving 37,902 participants from 10 African countries were included. The overall pooled prevalence of dyslipidemia was 52.8 (95% CI 40.8–64.9). Individuals with a body mass index (BMI) >25.0 kg/m(2) and waist circumference (WC) >94 cm were, respectively, 2.36 (95% CI (1.33–4.18), p < 0.001) and 2.33 (95% CI (0.75–0.29) p < 0.001) times more likely to develop dyslipidemia than those with lower values. Furthermore, patients with diabetes mellitus (DM) and hypertension (HTN) were 2.32 (95% CI (0.89–6.05) p < 0.001) and 2.05 (95% CI (1.31–3.21), p < 0.001) times more likely to present with dyslipidemia than non-diabetic patients and those without HTN. CONCLUSION: This study revealed that the prevalence of dyslipidemia is relatively high among study participants in African countries and the independent predictors of dyslipidemia were BMI >25.0 kg/m(2), WC > 94 cm, raised blood glucose level, and raised blood pressure. Therefore, there should be a pressing public health measure to prevent, identify, and treat dyslipidemia with the special emphasis on obese, diabetic, and hypertensive patients.
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spelling pubmed-89047272022-03-10 Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis Obsa, Mohammed S. Ataro, Getu Awoke, Nefsu Jemal, Bedru Tilahun, Tamiru Ayalew, Nugusu Woldegeorgis, Beshada Z. Azeze, Gedion A. Haji, Yusuf Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Dyslipidemia is a common public health problem in Africa. It has emerged as an important cardiovascular risk factor. It has been steadily increasing due to economic growth, urbanization, and unhealthy dietary pattern. Therefore, it is essential to identify determinants of dyslipidemia to prevent the condition and reduce its long-term sequel. METHODS: Combinations of search terms with Boolean operators were used to retrieve studies from PubMed, EMBASE, Cochrane Database, Cinahl, Scopus, Mednar, and Google Scholar. The methodological quality of each article was evaluated based on the 2017 Joanna Briggs Institute (JBI) Critical Appraisal checklist for prevalence studies. After evaluation of each study against these criteria, studies with a minimum score of 7 or above out of 9 JBI checklists were included. We included articles presented in the English language. The Cochrane Q test was used to assess the heterogeneity across studies. The visual assessment of publication bias was done by creating a funnel plot. The possible causes of heterogeneity were explored by subgroup analyses. Egger's weighted regression test was used to assess the presence of publication bias. Statistical analyses were done by using the STATA software version 14. RESULT: A total of 24 articles involving 37,902 participants from 10 African countries were included. The overall pooled prevalence of dyslipidemia was 52.8 (95% CI 40.8–64.9). Individuals with a body mass index (BMI) >25.0 kg/m(2) and waist circumference (WC) >94 cm were, respectively, 2.36 (95% CI (1.33–4.18), p < 0.001) and 2.33 (95% CI (0.75–0.29) p < 0.001) times more likely to develop dyslipidemia than those with lower values. Furthermore, patients with diabetes mellitus (DM) and hypertension (HTN) were 2.32 (95% CI (0.89–6.05) p < 0.001) and 2.05 (95% CI (1.31–3.21), p < 0.001) times more likely to present with dyslipidemia than non-diabetic patients and those without HTN. CONCLUSION: This study revealed that the prevalence of dyslipidemia is relatively high among study participants in African countries and the independent predictors of dyslipidemia were BMI >25.0 kg/m(2), WC > 94 cm, raised blood glucose level, and raised blood pressure. Therefore, there should be a pressing public health measure to prevent, identify, and treat dyslipidemia with the special emphasis on obese, diabetic, and hypertensive patients. Frontiers Media S.A. 2022-02-23 /pmc/articles/PMC8904727/ /pubmed/35284497 http://dx.doi.org/10.3389/fcvm.2021.778891 Text en Copyright © 2022 Obsa, Ataro, Awoke, Jemal, Tilahun, Ayalew, Woldegeorgis, Azeze and Haji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Obsa, Mohammed S.
Ataro, Getu
Awoke, Nefsu
Jemal, Bedru
Tilahun, Tamiru
Ayalew, Nugusu
Woldegeorgis, Beshada Z.
Azeze, Gedion A.
Haji, Yusuf
Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title_full Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title_fullStr Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title_full_unstemmed Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title_short Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis
title_sort determinants of dyslipidemia in africa: a systematic review and meta-analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904727/
https://www.ncbi.nlm.nih.gov/pubmed/35284497
http://dx.doi.org/10.3389/fcvm.2021.778891
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