Evidence map›Paper›PMID 19581276›Full record

ArticleTobacco control2009

Smoking uptake and prevalence in Ghana.

E Owusu-Dabo, S Lewis, A McNeill, A Gilmore, J Britton

Abstract read
In one paragraph

Article in Tobacco control, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Peripheral artery disease In West Africans with diabetes: a risk factor profile analysis.International journal of cardiology. Cardiovascular risk and prevention · 2025
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  14. Letter to the Editor.Journal of health economics and outcomes research · 2023
    Article
  15. Article
  16. Effect of cigarette prices on cigarette consumption in Ghana.Drug and alcohol dependence reports · 2022
    Article
  17. Article
  18. Article
  19. 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

5 authors.

E Owusu-DaboSchool of Community Health Sciences, Division of Epidemiology and Public Health, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham NG51PB, UK. owusudabo@yahoo.com
S Lewis
A McNeill
A Gilmore
J Britton

Funding

British Heart FoundationCancer Research UK C1512/A8927Department of Health
6 · The paper itself

Abstract

backgroundDeveloping countries are at high risk of epidemic increases in tobacco smoking, but the extent of this problem is not clearly defined because few collect detailed smoking data. We have surveyed tobacco smoking in the Ashanti region of Ghana, a rapidly developing African country with a long-established tobacco industry.

methodsWe took a random sample of 30 regional census enumeration areas, each comprising about 100 households, and a systematic sample of 20 households from each. These were visited, a complete listing of residents obtained and questionnaire interviews on current and past smoking, age at smoking uptake, sources of cigarettes and other variables carried out in all consenting residents aged 14 or over.

resultsOf 7096 eligible individuals resident in the sampled households, 6258 (88%; median age 31 (range 14-105) years; 64% female) participated. The prevalence of self-reported current smoking (weighted for gender differences in response) was 3.8% (males 8.9%, females 0.3%) and of ever smoking 9.7% (males 22.0%, females 1.2%). Smoking was more common in older people, those of Traditionalist belief, those of low educational level, the unemployed and the less affluent. Smokers were more likely to drink alcohol and to have friends who smoke. About 10% of cigarettes were smuggled brands. About a third of smokers were highly or very highly dependent.

conclusionsDespite rapid economic growth and a sustained tobacco industry presence, smoking prevalence in Ghana is low, particularly among younger people. This suggests that progression of an epidemic increase in smoking has to date been avoided.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionAge FactorsDeveloping CountriesEpidemiologic MethodsFemaleGhanaHumansMaleMiddle AgedRural HealthSmokingSmoking Cessation

Identifiers

PMID19581276
PMCPMC2745559

What OpenQuestion holds

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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.