Evidence map›Paper›PMID 39237953›Full record

ArticleSubstance abuse treatment, prevention, and policy2024

Sex-related inequalities in current cigarette smoking among adolescents in Africa.

Richard Gyan Aboagye, Aliu Mohammed, Precious Adade Duodu, Qorinah Estiningtyas Sakilah Adnani, Abdul-Aziz Seidu, Bright Opoku Ahinkorah

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Richard Gyan AboagyeSchool of Population Health, University of New South Wales, Sydney, NSW, 2052, Australia. aboagyegyan94@gmail.com.
Aliu MohammedDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Precious Adade DuoduDepartment of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK.
Qorinah Estiningtyas Sakilah AdnaniDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, Indonesia.
Abdul-Aziz SeiduCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, 4811, Australia.
Bright Opoku AhinkorahREMS Consultancy Services, Takoradi, Western Region, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRisky behaviours, including tobacco use, are highly prevalent among adolescents worldwide. Although these behaviours are largely influenced by various sociodemographic factors, including sex, there is a paucity of regionally representative literature on the sex-related inequalities in cigarette smoking among adolescents in Africa. This study examined the sex-based disparities in current cigarette smoking among adolescents aged 13-15 years in Africa.

methodsThe present study employed a secondary analysis of nationally representative data on 45 African countries obtained from the Global Youth Tobacco Survey, accessible through the World Health Organization (WHO) Global Health Observatory. We used the online version of the WHO Health Equity Assessment Toolkit (HEAT) to generate the results.

resultsThe prevalence of current cigarette smoking among the adolescents surveyed ranged from 1.6% in Eritrea to 10.4% in Mali among the low-income countries, from 1.3% in Tanzania to 13.1% in Mauritania among the lower-middle-income countries, from 5.2% in Gabon to 15.3% in Mauritius among the upper-middle-income countries, and 14.7% in Seychelles, the only high-income country in the study. The absolute summary measure (D) showed diverse sex-related disparities in the burden of current cigarette smoking among adolescents across the sub-regions. In all countries surveyed, the prevalence of cigarette smoking was higher among male adolescents compared to females, except in Liberia and Mozambique, where female adolescents bore a more significant burden than their male counterparts. Furthermore, male adolescents were more burdened with high cigarette smoking prevalence than females in low-income countries such as Mali, Madagascar, Guinea, Burkina Faso, and The Gambia, where such disparities were most pronounced. Meanwhile, we found less disparity in the burden of cigarette smoking between male and female adolescents in most of the lower and upper-middle-income countries surveyed.

conclusionThis study sheds light on the sex-based inequalities in the prevalence of current cigarette smoking among adolescents in Africa. In contrast to female adolescents, male adolescents bear a greater burden of current cigarette smoking. The burden of cigarette smoking is most pronounced in low-income countries such as Mali, Madagascar, Guinea, Burkina Faso, and The Gambia. Conversely, in most of the lower and upper-middle-income countries surveyed, the burdens of current cigarette smoking among male and female adolescents were found to be less disparate. Consequently, cigarette smoking prevention programmes and strategies must be implemented in all African nations. There is also the need to intensify interventions aimed at altering the smoking behaviour of male adolescents. Policymakers can develop and implement evidence-based interventions to address the burden of cigarette smoking among the adolescents. Finally, existing policies and programmes addressing adolescents' cigarette smoking should be re-assessed and strengthened to achieve their objectives.

Indexed as

Cigarette SmokingAdolescentAdolescent BehaviorAfricaFemaleHealth Status DisparitiesHumansMalePrevalenceSex FactorsSocioeconomic FactorsAdolescentsAfricaCurrent cigarette smokingSex-related inequalities

Identifiers

PMID39237953
PMCPMC11375970

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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.