Evidence map›Paper›PMID 36962447›Full record

ArticlePLOS global public health2022

Prevalence and factors associated with stroke risk factors in an urban community of Parakou, Northern Benin, 2016.

Yessito Corine Nadège Houehanou, Mendinatou Agbetou, Oyéné Kossi, Maurice Agonnoudé, Hospice Hountada, Thierry Adoukonou

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yessito Corine Nadège HouehanouNational School of Public Health and Epidemiological Surveillance (ENATSE), University of Parakou, Parakou, Benin.ORCID https://orcid.org/0000-0002-6007-0284
Mendinatou AgbetouDepartment of Neurology, Borgou-Alibori Departmental University Hospital, Parakou, Benin.ORCID https://orcid.org/0000-0001-5037-2302
Oyéné KossiNational School of Public Health and Epidemiological Surveillance (ENATSE), University of Parakou, Parakou, Benin.
Maurice AgonnoudéNational School of Public Health and Epidemiological Surveillance (ENATSE), University of Parakou, Parakou, Benin.
Hospice HountadaDepartment of Neurology, Borgou-Alibori Departmental University Hospital, Parakou, Benin.
Thierry AdoukonouNational School of Public Health and Epidemiological Surveillance (ENATSE), University of Parakou, Parakou, Benin.
Université de Parakou · BJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sub-Saharan Africa faces a heavy burden of stroke due to the growth of its risk factors. We aimed to estimate the prevalence of stroke risk factors and identify the factors associated with metabolic risk factors in the district of Titirou, in Parakou (northern Benin) in 2016. A cross-sectional study was conducted. It included people aged at least 15 years, living in Titirou for at least 6 months, and who had given their written consent to participate in the study. A door-to-door survey was performed from 15 march to 15 July 2016 in each neighborhood until the pre-determined number was reached. Sociodemographic data, medical histories, anthropometric and blood pressure measures were recorded using the WHO STEPS approach. The prevalence of stroke risk factors was calculated, and a multivariable logistic regression was done to identify the factors associated with metabolic risk factors for stroke. A total of 4671 participants were included with a mean age of 27.7±12.9 years and a sex ratio of 0.98. Concerning the behavioral risk factors for stroke, 17.2% were alcohol consumers, 3.5% were smokers, 21.5% had low fruit and vegetable intake, and 51.1% had low physical activity practice. The prevalence of metabolic risk factors for stroke was respectively of 8.7% for obesity, 7.1% for high blood pressure, 1.7% for self-reported diabetes, and 2.2% for dyslipidemia. Age (p<0.001), sex (p<0.001), marital status (p<0.001) and professional occupation (p = 0.010) were associated with obesity. Age was also associated with high blood pressure (p<0.001) and diabetes (p<0.001). Dyslipidemia varied according to smoking (p = 0.033) and low physical activity practice (p = 0.003). The study revealed a significant prevalence of some stroke risk factors. Targeted local interventions for primary prevention of stroke should be promoted in this community.

Identifiers

PMID36962447
PMCPMC10022112
OpenAlexW4283748348

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LicenceCC BY
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identifiers read4
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.