A comprehensive analysis on cigarettes smoking and its determinants in Bangladesh using logistic regression model


  • Afrin Sadia Rumana Department of Business Administration in Accounting and Information Systems, Faculty of Business Studies, Bangladesh University of Professionals, Dhaka, Bangladesh
  • Asia Khatun Department of Business Administration in Accounting and Information Systems, Faculty of Business Studies, Bangladesh University of Professionals, Dhaka, Bangladesh
  • Sukanta Das Department of Statistics, Begum Rokeya University, Rangpur, Bangladesh




χ2 test, Logistic regression, Smoking behaviour


Background: In Bangladesh, smoking is one of the leading preventable causes of death. Despite possessing knowledge about the consequences of smoking and the resultant non-communicable diseases, individuals have become considerably habituated to it. The study aims to identify the factors associated with smoking cigarettes and as well as to examine the existing situation of this issue among adult males in Bangladesh.

Methods: Total 480 adult males were surveyed from Bangladesh through personal interview and online questionnaire, (from June 2018 to June 2019). To measure the effect of the explanatory variables on cigarettes smoking, authors perform χ2 test of independence as bivariate analysis. After performing bivariate analysis, a logistic regression analysis has been performed to assess the effect of the explanatory variables.

Results: Findings of the study revealed that educational level, household economic status, media exposure, division have significant contribution for smoking cigarettes among the adult male in Bangladesh. A comparison of religious affiliation showed smoking cigarettes to be higher among non-muslim counterparts. Respondents living in rural area are found to have smoking cigarettes comparing with urban area.

Conclusions: From the study it can be concluded that education and socio-economic status of male make a significant contribution in cigarettes smoking.


Reitsma MB, Fullman N, Ng M, Salama JS, Abajobir A, Abate KH, et al. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015. Lancet. 2017 May 13;389(10082):1885-906.

Barman N, Rumana AS, Dhali MN. Impact of Smoking Cigarettes among University Students of Bangladesh: A Logistic Regression Analysis. Int J Statis Applicat. 2019;9(6):186-90.

Hosseinpoor AR, Parker LA, d'Espaignet ET, Chatterji S. Social determinants of smoking in low-and middle-income countries: results from the World Health Survey. PloS One. 2011;6(5).

Higgins ST, Kurti AN, Redner R, White TJ, Gaalema DE, Roberts ME, et al. A literature review on prevalence of gender differences and intersections with other vulnerabilities to tobacco use in the United States, 2004-2014. Prevent Medi. 2015 Nov 1;80:89-100.

Sieminska A, Jassem E. The many faces of tobacco use among women. Medical science monitor: Int Medi J Exp Clini Res. 2014;20:153.

Flora MS, Mascie-Taylor CG, Rahman M, Akter SF. Influence of parental smoking on smoking habit of Bangladeshi adult population in rural and urban areas. Am Int J Contem Res. 2012;2(6):221-7.

Ahmed S, Rahman A, Hull S. Use of betel quid and cigarettes among Bangladeshi patients in an inner-city practice: prevalence and knowledge of health effects. Br J Gen Pract. 1997 Jul 1;47(420):431-4.

Rani M, Bonu S, Jha P, Nguyen SN, Jamjoum L. Tobacco use in India: prevalence and predictors of smoking and chewing in a national cross sectional household survey. Tobac Contr. 2003 Dec 1;12(4):e4.

Goon S, Bipasha MS. Prevalence and pattern of smoking among bus drivers of Dhaka, Bangladesh. Tobac Use Insights. 2014 Jan;7:TUI-S13966.

Khan MM, Khan A, Kraemer A, Mori M. Prevalence and correlates of smoking among urban adult men in Bangladesh: slum versus non-slum comparison. BMC Publ Health. 2009 Dec;9(1):149.

Mamun A, Karmaker H, Karim R, Islam N, Hossain G. Prevalence and Factors Associated of Cigarette Smoking Behavior among University Male Students in Bangladesh: Survey in Rajshahi University. J Life Sci. 2018;10(1):10-5.

Xu X, Liu L, Sharma M, Zhao Y. Smoking-related knowledge, attitudes, behaviors, smoking cessation idea and education level among young adult male smokers in Chongqing, China. Int J Envir Res Publ Health. 2015 Feb;12(2):2135-49.

Cochran WG. Sampling techniques, 2007. John Wiley & Sons. Available at: file:///C:/Users/HP/Downloads/SampTech.pdf. Accessed 21 November 2007.

Sekaran U, Bougie R. Theoretical framework in theoretical framework and hypothesis development. Res Methods Business: Skill Build Approa. 2010;80:13-25.

Dobson AJ, Barnett AG. An introduction to generalized linear models. CRC press; 2018. Available at: https://doi.org/10.1201/9780367807849. Accessed 17 April 2018.

Soltani E, Moosavi J, Ali S, Mehrzadi S, Mobaraki H, Javad Moosavi A, Raji H. An Investigation into the Factors Affecting Medical Students’ Attitude Towards Smoking. J Irani Medi Coun. 2018 Dec 28;1(2):75-80.

Buller DB, Borland R, Woodall WG, Hall JR, Burris-Woodall P, Voeks JH. Understanding factors that influence smoking uptake. Tobac Contr. 2003 Dec 1;12(suppl 4):iv16-25.




How to Cite

Rumana, A. S., Khatun, A., & Das, S. (2020). A comprehensive analysis on cigarettes smoking and its determinants in Bangladesh using logistic regression model. International Journal of Research in Medical Sciences, 8(5), 1733–1739. https://doi.org/10.18203/2320-6012.ijrms20201919



Original Research Articles