Evidence map›Paper›PMID 40135431›Full record

SynthesisDrug and alcohol review2025

Tobacco smoking in Sub-Saharan Africa: A systematic review and meta-analysis.

Habte Belete, Tesfa Mekonen, Jason P Connor, Gary Chan, Leanne Hides, Janni Leung

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Drug and alcohol review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

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

Habte BeleteDepartment of Psychiatry, Bahir Dar University, Bahir Dar, Ethiopia.
Tesfa MekonenNational Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-3188-0173
Jason P ConnorNational Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia.
Gary ChanNational Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-7569-1948
Leanne HidesSchool of Psychology, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-4550-8460
Janni LeungSchool of Psychology, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5816-2959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPopulation-level smoking (cigarette or tobacco or nicotine use) has reduced in high-income nations, but not proportionally compared to less developed regions. This study aimed to estimate smoking prevalence in Sub-Saharan Africa (SSA). APPROACH: Databases searched included PubMed, EMBASE, PsycINFO, African Journal Online, the Global Health Data Exchange and Google Scholar. The search terms included 'cigarette', 'smoking', 'tobacco', 'nicotine', 'prevalence' and 'Sub-Saharan Africa'. Prevalence data on smoking was extracted separately for adolescents (10-17) and adults (18+). Prevalence of lifetime, past 12- and 6-month smoking was included. Weighted pooled prevalence was calculated using MetaXL, while meta-regression analysis was conducted with Stata version 17. For the estimation of pooled prevalence, we employed a DerSimonian-Laird estimation method. The risk of bias tool was utilised to assess the quality of the studies. KEY

findingsWe included 195 papers. Overall, between 2018 and 2023, the weighted lifetime smoking prevalence was 8.8% (95% confidence interval [CI] 5.1, 13.4%), with a past-year prevalence of 10.8% (CI 4.0%, 19.9%), and daily smoking was 3.5% (CI 0.0%, 9.5%) in SSA. Among adolescents, the lifetime prevalence was 4.5% (CI 2.0%, 8.0%), with a past-year prevalence of 4.1% (CI 0.0%, 13.4%) and daily smoking was 4.7% (CI 1.0%, 10.6%). Among adults, the lifetime prevalence of smoking was 12.7% (CI 6.6%, 20.4%), 12.1% (CI 2.6%, 26.2%) in the past year and daily smoking was 3.3% (CI 0.0%, 9.8%). IMPLICATIONS: These findings highlight the importance of maintaining consistent monitoring and ensuring timely follow-up in implementing smoking prevention measures and regulations in SSA countries.

Indexed as

Tobacco SmokingAdolescentAdultAfrica South of the SaharaHumansPrevalencepopulationprevalenceSub‐Saharan Africatobacco smoking

Identifiers

PMID40135431
PMCPMC12117304

What OpenQuestion holds

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Registered trials

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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.