147
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Assessment of sociodemographic indicators of Tobacco expenditure: an application of the censored regression model

ORCID Icon
Pages 441-446 | Received 21 Oct 2021, Accepted 22 Mar 2022, Published online: 31 Mar 2022
 

ABSTRACT

Background

The high level of tobacco use in Turkey and across the world, causes a high number of health problems. This study explores the indicators of tobacco expenditure of households, the smallest unit of a society. In this context, the sociodemographic factors affecting household tobacco use were examined, and recommendations are made to reduce tobacco product impact in terms of users and those who are exposed to smoke.

Methods

This study uses the dataset acquired from the Household Budget Survey. The factors affecting household expenditure on tobacco products were evaluated using the Tobit model.

Results

Gender, age, educational status, marital status, income level, and social variables were found to be effective indicators of tobacco product expenditure.

Conclusion

The study aims to bring the following issues to the attention of decision-makers and policymakers: Priority should be given to tobacco control programs, particularly for young, single, male, and lowly educated individuals; raise tobacco taxes in a way that does not adversely affect the financial situation of low-income smokers who use such products; and encourage the implementation of evidence-based smoking cessation methods.

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.