Evidence map›Paper›PMID 36732737›Full record

ArticleBMC public health2023

Prevalence and risk factors for tobacco, khat, and alcohol consumption among high school students in Ethiopia.

Selamawit Hirpa, Andrew W Fogarty, Adamu Addissie, Linda Bauld, Thomas Frese, Susanne Unverzagt, Eva J Kantelhardt, Sefonias Getachew, Wakgari Deressa

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. 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

9 authors at 4 institutions in 3 countries.

Selamawit HirpaDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia. Selamawit.hirpa@gmail.com.
Andrew W FogartyDivision of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
Adamu AddissieDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Linda BauldUsher institute and SPECTRUM Consortium, University of Edinburgh, Edinburgh, UK.
Thomas FreseGeneral Practice and Family Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Susanne UnverzagtGeneral Practice and Family Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Eva J KantelhardtInstitute for Medical Epidemiology, Biostatics and Informatics, Martin-Luther-University, Halle-Wittenberg, Germany.
Sefonias GetachewDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Wakgari DeressaDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Martin Luther University Halle-Wittenberg · DEAddis Ababa University · ETUniversity of Edinburgh · GBUniversity of Nottingham · GB

Funding

Medical Research Council MR/P027946/2UKRI Global Challenges Research Fund MR/P027946/2
6 · The paper itself

Abstract

backgroundTobacco, khat, alcohol, and marijuana are the main risk factors for non-communicable diseases. There are limited studies on substance use in Ethiopia, especially among secondary school students. This study aims to determine the epidemiology of substance use among secondary school students in Ethiopia.

methodsThis cross-sectional study was conducted in March 2020 in four large regions of Ethiopia and the capital Addis Ababa. We collected data from 3,355 grade 9 and grade 10 students in 36 randomly selected high schools. Data were collected on tobacco, khat, alcohol and other substances. Mixed effect logistic regression models were fitted to determine the predictors of cigarette smoking.

results157 (4.7%) of the participants ever smoked cigarettes and 81 (2.4%) were current smokers. 106 (3.2%) ever used smokeless tobacco, 1,342 (41.8%) had ever drunk alcohol, 290 (8.7%) ever used khat, 137 (4.8%) chewed khat regularly and 76 (2.3%) ever used marijuana. There was a significant regional variation in substance use patterns; cigarette and khat use was the highest in southern regions, whereas alcohol use was highest in the northern areas. Availability of cigarette and khat shops within a 100-meter radius of the school compound was reported by 1,229 (37.5%) and 816 (25%) students, respectively. Three hundred fifty-four (10.9%) students had ever seen someone smoking a cigarette in the school compound. Ever use of smokeless tobacco (Adjusted Odds Ratio (AOR) = 9.4, 95%CI: 4.9-17.9), ever use of shisha (AOR = 8, 95% CI: 3.9-16.3), ever use of khat (AOR = 4.1, 95%CI: 2.5-6.8), ever use of alcohol (AOR = 2.3, 95%CI: 1.4-3.7), having a friend who smoked a cigarette (AOR = 2, 95%CI: 1.2-3.5), and ever seen someone smoking a cigarette in the school compound (AOR = 1.9, 95%CI: 1.1-3.4) were associated with ever use of cigarettes.

conclusionSubstance use prevalence in Ethiopia has regional variations and prevention strategies should be tailored to the needs of the regions. Although this study reported a lower prevalence of cigarette smoking, students could access cigarettes and khat in nearby school areas. The existing tobacco control laws that prohibit selling tobacco products to children and adolescents under 21 years of age and ban establishing tobacco shops close to school compounds should be enforced.

Indexed as

Substance-Related DisordersAdolescentAlcohol DrinkingCathaChildCross-Sectional StudiesEthiopiaHumansNicotianaPrevalenceRisk FactorsStudentsAlcoholEthiopiaHigh schoolKhatStudentsTobacco

Identifiers

PMID36732737
PMCPMC9893175
OpenAlexW4319033172

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.