78
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Daily users of both smoked and smokeless tobacco and their efforts to quit

ORCID Icon
Pages 68-74 | Received 24 Mar 2022, Accepted 30 Aug 2022, Published online: 06 Sep 2022
 

ABSTRACT

Objective

This study estimates the prevalence of daily dual users (DDUs) (i.e., used both smoked and smokeless tobacco (SLT) daily) of tobacco in Bangladesh and identifies associated factors ; examines approaches they used to quit tobacco use and identifies past attempts and future intention to quit.

Methods

Data of current tobacco users (n=9,370) collected in two rounds of the Global Adult Tobacco Survey were analyzed. Logistic regressions were used to identify factors associated with DDUs, and Poisson regressions to identify DDUs’ previous attempts and future intentions to quit.

Results

Among the current users, the prevalence of DDUs decreased from 10.7% in 2009 to 6.4% in 2017. Almost half of the DDUs tried to quit smoking and a quarter to quit SLT during 12-month before the survey. DDUs were more likely than non-DDUs to make a quit attempt (adjusted prevalence ratio (aPR):1.28, 95%Confidence interval (95%CI):1.09–1.50) and intend to quit in the future (aPR:1.13, 95%CI:1.03–2.25). Most of those who attempted to quit received no cessation treatment, and some started using SLT.

Conclusions

The prevalence of DDUs decreased recently. DDUs were more likely than non-DDUs to report past attempts and future intentions to quit. Cessation treatments should be made available and affordable to expedite tobacco control measures.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 683.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.