Evidence map›Paper›PMID 34930749›Full record

ArticleBMJ open2021

Was there any change in tobacco smoking among adults in Bangladesh during 2009-2017? Insights from two nationally representative cross-sectional surveys.

Md Ashfikur Rahman, Satyajit Kundu, Bright Opoku Ahinkorah, Joshua Okyere, Henry Ratul Halder, Md Mahmudur Rahman, Uday Narayan Yadav, Sabuj Kanti Mistry, Muhammad Aziz Rahman

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. 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
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

9 authors at 8 institutions in 6 countries.

Md Ashfikur RahmanDevelopment Studies Discipline, Khulna University, Khulna, Bangladesh.ORCID 0000-0002-5517-8557
Satyajit KunduSchool of Public Health, Southeast University, Nanjing, People's Republic of China satyajitnfs@gmail.com.ORCID 0000-0001-9610-1479
Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7415-895X
Joshua OkyereDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0003-4080-7522
Henry Ratul HalderDepartment of Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID 0000-0002-1362-3077
Md Mahmudur RahmanResearch, Monitoring and Information Management Organization/Institutions, Deep Eye Care Foundation (DECF), Rangpur, Bangladesh.
Uday Narayan YadavCentre for Primary Health Care and Equity, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-6626-1604
Sabuj Kanti MistryCentre for Primary Health Care and Equity, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-6100-6076
Muhammad Aziz RahmanSchool of Health, Federation University Australia, Berwick, Victoria, Australia.ORCID 0000-0003-1665-7966
Federation University · AUDaffodil International University · BDKhulna University · BDPatuakhali Science and Technology University · BDUniversity of Cape Coast · GHUniversity of Manitoba · CAUniversity of Technology Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study assessed the changes in prevalence and associated factors of tobacco smoking among Bangladeshi adults over time.

designNationally representative cross-sectional surveys.

settingTwo most recent Global Adults Tobacco Survey (GATS) data from Bangladesh, carried out in 2009 and 2017.

participantsAdult population aged 15 and above (n=9629 in 2009; n=12 783 in 2017). OUTCOME MEASURES: Current use of tobacco smoke, including cigarettes, bidi, hukkah, cigars or pipes, which was dichotomised ('yes'/'no').

methodsWe analysed data from two recent rounds of GATS (2009 and 2017). Multivariate logistic regression analysis was used.

resultsThe overall prevalence of tobacco smoking among Bangladeshi adults was noted (23.00%, 95% CI 22.98 to 23.00 in 2009; 16.44%, 95% CI 16.43 to 16.45 in 2017). Being male (adjusted OR (AOR)=59.72, CI 40.56 to 87.93 for 2009; AOR=71.17, CI 41.08 to 123.32 for 2017), age between 25 and 64 years (all AORs >2 and p<0.05), smoking permissible at home (AOR=7.08, CI 5.88 to 8.52 for 2009; AOR=5.90, CI 5.34 to 6.95 for 2017), and watching tobacco smoking product use in movie/drama scenes (AOR=1.26, CI 1.11 to 1.44 for 2009; AOR=1.34, CI 1.17 to 1.54 for 2017) were found to be significantly associated with increased tobacco smoking among adults both in 2009 and in 2017. However, being offered free tobacco sample products (AOR=0.66, CI 0.57 to 0.77 for 2009; AOR=0.87, CI 0.76 to 0.99 for 2017) and having primary, secondary or higher education (all AORs <1 and p<0.05) as well as being a student (AOR=0.16, CI 0.09 to 0.29 for 2009; AOR=0.32, CI 0.19 to 0.53) were associated with lower odds of tobacco smoking in both surveys.

conclusionsAlthough the prevalence of tobacco smoking has declined over the period, it is still high among those who were relatively older, men, less educated and exposed to a movie/drama where tobacco smoking is promoted. Therefore, appropriate interventions are required to stop tobacco smoking among the Bangladeshi population.

Indexed as

Tobacco ProductsAdolescentAdultBangladeshCross-Sectional StudiesHumansMaleMiddle AgedPrevalenceSmokingSurveys and QuestionnairesTobacco Smokingepidemiologypreventive medicinepublic health

Identifiers

PMID34930749
PMCPMC8689193
OpenAlexW4200487259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.