Evidence map›Paper›PMID 31638945›Full record

ArticleBMC public health2019

Outdoor smoking in Nigeria: prevalence, correlates and predictors.

Victor Lasebikan, Tiwatayo Lasebikan, Samson Adepoju

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Victor LasebikanDepartment of Psychiatry, College of Medicine, University of Ibadan, PMB 5116, Ibadan, Nigeria. victorlash@yahoo.com.ORCID http://orcid.org/0000-0001-5834-9190
Tiwatayo LasebikanFederal Neuropsychiatric Hospital, Yaba, Lagos, Nigeria.
Samson AdepojuDepartment of Psychiatry, University College Hospital, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a lack of data on smoking in outdoor-open bars in Nigeria that may translate into effective legislation on public smoking.

methodThis study determined the prevalence, demographic and clinical correlates as well as predictors of smoking among a community sample of 1119 patrons of open place bars in Ibadan, Nigeria. Data on current smoking was obtained using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), while smoking intensity was calculated using the Pack-Year. Prevalence of alcohol use was determined using the Alcohol Use Disorders Identification Test (AUDIT), while depression was diagnosed using the Mini International Neuropsychiatry Interview (MINI). Analysis was carried out by SPSS version 20.0 software using Chi square statistics, t test and ANOVA, and was set at 95% confidence interval.

resultsPrevalence of current smoking was 63.8% and the mean pack years of smoking of all respondents was 19.38 ± 17.16 years. Predictors of outdoor smoking were depression OR = 1.41, 95% CI (1.09-1.83) and alcohol use OR = 2.12, 95% CI (1.44-3.13). Predictors of high pack years were depression OR = 1.47, 95% CI (1.08-2.01), being married, OR = 1.78, 95% CI (1.29-2.45), high income, OR = 1.95, 95% CI (1.42-2.68) and alcohol use OR = 2.82, 95% CI (1.51-5.27). There was no significant relationship between stage of readiness to quit smoking and mean pack years of smoking, F = 0.3, p = 0.5.

conclusionThe high prevalence of outdoor smoking in the sample calls for urgent public health initiatives for intervention. Thus, outdoor bars are potential tobacco use intervention sites to minimize the health consequences of smoking.

Indexed as

AdultAgedAlcohol DrinkingDepressionFemaleHumansMaleMiddle AgedNigeriaPrevalenceRisk FactorsSmokingSocioeconomic FactorsYoung AdultAlcoholDepressionHigh-incomeOpen-place smokingPack-year

Identifiers

PMID31638945
PMCPMC6802310

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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.