Evidence map›Paper›PMID 31694594›Full record

ArticleBMC public health2019

Tobacco use and associated risk factors in Burkina Faso: results from a population-based cross-sectional survey.

Bruno Bonnechère, Kadari Cissé, Tiéba Millogo, Gautier H Ouédraogo, Franck Garanet, Mariam A Ouedraogo, Gabriela Boyle, Sékou Samadoulougou, Seni Kouanda, Fati Kirakoya-Samadoulougou

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  4. Evaluation of Smoking and Associated Factors in Turkey.Iranian journal of public health · 2023
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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

10 authors at 4 institutions in 4 countries.

Bruno BonnechèreCentre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Lennik street 808, 1070, Brussels, Belgium. bbonnech@ulb.ac.be.ORCID http://orcid.org/0000-0002-7729-4700
Kadari CisséCentre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Lennik street 808, 1070, Brussels, Belgium.
Tiéba MillogoInstitut Africain de Santé publique (IASP), Ouagadougou, 12, BP 199, Burkina Faso.
Gautier H OuédraogoInstitut de recherche en sciences de la santé (IRSS), Ouagadougou, 03, BP 7102, Burkina Faso.
Franck GaranetInstitut de recherche en sciences de la santé (IRSS), Ouagadougou, 03, BP 7102, Burkina Faso.
Mariam A OuedraogoInstitut de recherche en sciences de la santé (IRSS), Ouagadougou, 03, BP 7102, Burkina Faso.
Gabriela BoyleKing County Public Health Department, Seattle, WA, USA.
Sékou SamadoulougouEvaluation Platform on Obesity Prevention, Quebec Heart and Lung Research Institute, Quebec City, Quebec, Canada.
Seni KouandaInstitut de recherche en sciences de la santé (IRSS), Ouagadougou, 03, BP 7102, Burkina Faso.
Fati Kirakoya-SamadoulougouCentre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Lennik street 808, 1070, Brussels, Belgium.
Institut de Recherche en Sciences de la Santé · BFUniversité Libre de Bruxelles · BEMontreal Heart Institute · CAPublic Health – Seattle & King County · US

Funding

Académie de recherche et d'enseignement supérieur .
6 · The paper itself

Abstract

backgroundTobacco is a leading preventable cause of non-communicable diseases (NCDs). Studies characterizing the prevalence of tobacco use in low-income countries are lacking. This study describes the prevalence of tobacco use in Burkina Faso and its associated factors.

methodsData from the 2013 Burkina Faso World Health Organization (WHO) Stepwise approach to Surveillance (STEPS) were analyzed. The prevalence of any tobacco product use, cigarette smoking, and other tobacco use was calculated. Logistic regression analyses identified factors associated with tobacco use. Overall, 4691 people were included in this analysis.

resultsThe prevalence of any tobacco use was 19.8% (95% CI: 18.4-21.2). Tobacco use was higher for men (29.2% [27.0-31.5]) than women (11.8% [10.3-13.4]). The prevalence of smoked tobacco was 11.3% (10.3-12.4), with a significantly higher prevalence among men (24.5% [22.1-27.0]) than women (0.1% [0.01-0.3]). The overall prevalence of other tobacco use was 8.9% (7.4-10.7), with lower values for men (5.6% [4.1-7.2]) compared to women (11.7% [9.4-14.1]). Tobacco smoking among men was significantly associated with an increased age and alcohol consumption. The analysis of risk factors for other tobacco use stratified by gender showed that age, education, residence, and alcohol consumption were significantly associated with consumption for women, and age and alcohol consumption for men.

conclusionTobacco use is common in Burkina Faso. To effectively reduce tobacco use in Burkina Faso, a comprehensive tobacco control program should consider associated factors, such as gender, age, and alcohol consumption.

Indexed as

AdolescentAdultBurkina FasoCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesTobacco UseYoung AdultAssociated factorsBurkina FasoPrevalenceTobacco consumption

Identifiers

PMID31694594
PMCPMC6836375
OpenAlexW2986265546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.