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Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study

BACKGROUND: Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characteri...

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Autores principales: Owolabi, Mayowa O, Sarfo, Fred, Akinyemi, Rufus, Gebregziabher, Mulugeta, Akpa, Onoja, Akpalu, Albert, Wahab, Kolawole, Obiako, Reginald, Owolabi, Lukman, Ovbiagele, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906101/
https://www.ncbi.nlm.nih.gov/pubmed/29496511
http://dx.doi.org/10.1016/S2214-109X(18)30002-0
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author Owolabi, Mayowa O
Sarfo, Fred
Akinyemi, Rufus
Gebregziabher, Mulugeta
Akpa, Onoja
Akpalu, Albert
Wahab, Kolawole
Obiako, Reginald
Owolabi, Lukman
Ovbiagele, Bruce
author_facet Owolabi, Mayowa O
Sarfo, Fred
Akinyemi, Rufus
Gebregziabher, Mulugeta
Akpa, Onoja
Akpalu, Albert
Wahab, Kolawole
Obiako, Reginald
Owolabi, Lukman
Ovbiagele, Bruce
author_sort Owolabi, Mayowa O
collection PubMed
description BACKGROUND: Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characterise the effect of the top modifiable risk factors for stroke in sub-Saharan Africa. METHODS: The Stroke Investigative Research and Educational Network (SIREN) study is a multicentre, case-control study done at 15 sites in Nigeria and Ghana. Cases were adults (aged ≥18 years) with stroke confirmed by CT or MRI. Controls were age-matched and gender-matched stroke-free adults (aged ≥18 years) recruited from the communities in catchment areas of cases. Comprehensive assessment for vascular, lifestyle, and psychosocial factors was done using standard instruments. We used conditional logistic regression to estimate odds ratios (ORs) and population-attributable risks (PARs) with 95% CIs. FINDINGS: Between Aug 28, 2014, and June 15, 2017, we enrolled 2118 case-control pairs (1192 [56%] men) with mean ages of 59.0 years (SD 13.8) for cases and 57.8 years (13.7) for controls. 1430 (68%) had ischaemic stoke, 682 (32%) had haemorrhagic stroke, and six (<1%) had discrete ischaemic and haemorrhagic lesions. 98.2% (95% CI 97.2–99.0) of adjusted PAR of stroke was associated with 11 potentially modifiable risk factors with ORs and PARs in descending order of PAR of 19.36 (95% CI 12.11–30.93) and 90.8% (95% CI 87.9–93.7) for hypertension, 1.85 (1.44–2.38) and 35.8% (25.3–46.2) for dyslipidaemia, 1.59 (1.19–2.13) and 31.1% (13.3–48.9) for regular meat consumption, 1.48 (1.13–1.94) and 26.5% (12.9–40.2) for elevated waist-to-hip ratio, 2.58 (1.98–3.37) and 22.1% (17.8–26.4) for diabetes, 2.43 (1.81–3.26) and 18.2% (14.1–22.3) for low green leafy vegetable consumption, 1.89 (1.40–2.54) and 11.6% (6.6–16.7) for stress, 2.14 (1.34–3.43) and 5.3% (3.3–7.3) for added salt at the table, 1.65 (1.09–2.49) and 4.3% (0.6–7.9) for cardiac disease, 2.13 (1.12–4.05) and 2.4% (0.7–4.1) for physical inactivity, and 4.42 (1.75–11.16) and 2.3% (1.5–3.1) for current cigarette smoking. Ten of these factors were associated with ischaemic stroke and six with haemorrhagic stroke occurrence. INTERPRETATION: Implementation of interventions targeting these leading risk factors at the population level should substantially curtail the burden of stroke among Africans. FUNDING: National Institutes of Health.
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spelling pubmed-59061012018-04-18 Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study Owolabi, Mayowa O Sarfo, Fred Akinyemi, Rufus Gebregziabher, Mulugeta Akpa, Onoja Akpalu, Albert Wahab, Kolawole Obiako, Reginald Owolabi, Lukman Ovbiagele, Bruce Lancet Glob Health Article BACKGROUND: Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characterise the effect of the top modifiable risk factors for stroke in sub-Saharan Africa. METHODS: The Stroke Investigative Research and Educational Network (SIREN) study is a multicentre, case-control study done at 15 sites in Nigeria and Ghana. Cases were adults (aged ≥18 years) with stroke confirmed by CT or MRI. Controls were age-matched and gender-matched stroke-free adults (aged ≥18 years) recruited from the communities in catchment areas of cases. Comprehensive assessment for vascular, lifestyle, and psychosocial factors was done using standard instruments. We used conditional logistic regression to estimate odds ratios (ORs) and population-attributable risks (PARs) with 95% CIs. FINDINGS: Between Aug 28, 2014, and June 15, 2017, we enrolled 2118 case-control pairs (1192 [56%] men) with mean ages of 59.0 years (SD 13.8) for cases and 57.8 years (13.7) for controls. 1430 (68%) had ischaemic stoke, 682 (32%) had haemorrhagic stroke, and six (<1%) had discrete ischaemic and haemorrhagic lesions. 98.2% (95% CI 97.2–99.0) of adjusted PAR of stroke was associated with 11 potentially modifiable risk factors with ORs and PARs in descending order of PAR of 19.36 (95% CI 12.11–30.93) and 90.8% (95% CI 87.9–93.7) for hypertension, 1.85 (1.44–2.38) and 35.8% (25.3–46.2) for dyslipidaemia, 1.59 (1.19–2.13) and 31.1% (13.3–48.9) for regular meat consumption, 1.48 (1.13–1.94) and 26.5% (12.9–40.2) for elevated waist-to-hip ratio, 2.58 (1.98–3.37) and 22.1% (17.8–26.4) for diabetes, 2.43 (1.81–3.26) and 18.2% (14.1–22.3) for low green leafy vegetable consumption, 1.89 (1.40–2.54) and 11.6% (6.6–16.7) for stress, 2.14 (1.34–3.43) and 5.3% (3.3–7.3) for added salt at the table, 1.65 (1.09–2.49) and 4.3% (0.6–7.9) for cardiac disease, 2.13 (1.12–4.05) and 2.4% (0.7–4.1) for physical inactivity, and 4.42 (1.75–11.16) and 2.3% (1.5–3.1) for current cigarette smoking. Ten of these factors were associated with ischaemic stroke and six with haemorrhagic stroke occurrence. INTERPRETATION: Implementation of interventions targeting these leading risk factors at the population level should substantially curtail the burden of stroke among Africans. FUNDING: National Institutes of Health. 2018-02-26 2018-04 /pmc/articles/PMC5906101/ /pubmed/29496511 http://dx.doi.org/10.1016/S2214-109X(18)30002-0 Text en This is an Open Access article under the CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/) 4.0 license.
spellingShingle Article
Owolabi, Mayowa O
Sarfo, Fred
Akinyemi, Rufus
Gebregziabher, Mulugeta
Akpa, Onoja
Akpalu, Albert
Wahab, Kolawole
Obiako, Reginald
Owolabi, Lukman
Ovbiagele, Bruce
Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title_full Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title_fullStr Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title_full_unstemmed Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title_short Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case-control study
title_sort dominant modifiable risk factors for stroke in ghana and nigeria (siren): a case-control study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906101/
https://www.ncbi.nlm.nih.gov/pubmed/29496511
http://dx.doi.org/10.1016/S2214-109X(18)30002-0
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