Pattern of Quitting Methods Used to Promote Tobacco Cessation in Bangladesh and Its Correlates

Pattern of Quitting Methods Used to Promote Tobacco Cessation in Bangladesh and Its Correlates

Research Article Journal of Volume 12:2, 2021 Biometrics & Biostatistics ISSN: 2155-6180 Open Access Pattern of Quitting Methods Used to Promote Tobacco Cessation in Bangladesh and Its Correlates Papia Sultana1*, Jahangir Alam1, Jahanara Akter2, Tithi Rani Kundu1 1Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh 2Global Public Health Research Foundations, Dhaka, Bangladesh Abstract Background: Promotion of smoking cessation has been proposed as one of the primary areas of focus for tobacco control in developing countries as prevalence is high over there. This paper aimed to analyze statistically quitting method followed by the smokers who wanted to quit tobacco use in the past 12 months of the survey. Methods: The paper was based on secondary data of size 9629 collected from people aged 15 years and above by the Global Adult Tobacco Survey (GATS), 2010. Descriptive analysis and binary logistic regression had been performed using STATA-13 to analyze the data. Outcome variable was whether quitting method(s) was (were) followed by the tobacco user (1. Tobacco smoker, and 2. Smokeless tobacco user) who wanted to quit tobacco use in the past 12 months of the survey and independent variables were age, gender, residential status, education, occupation and wealth index. Results: It had been found that 47.38% of smoker respondents tried to quit tobacco smoking and among them 27.13% used any method to quit. It had been also found that among the smokeless tobacco users, 31.89% tried to quit and among them 24.83% used any method to quit. Among the quitting methods, counselling was the most used method. From the logistic regression to methods used to quitting tobacco use, it had been found that age, education and wealth index were significantly associated with the use of methods to quit tobacco smoking; whereas, gender, age and wealth index were statistically significant to the use of methods to quit smokeless tobacco. Conclusions: This study suggests that more active quitting methods should be invented targeting male, younger, lower educated and poorer tobacco users to make the cessation successful in Bangladesh. Keywords: Tobacco use • Quitting method • Prevalence • Cessation • Odds ratio • Logistic regression Introduction etc. In a study of United States, Michael [7] had reported that cessation methods contributes about 23.6% people to succeed cessation. Hakim [8] had found that rate of unsuccessful quitter was higher (68%) among Tobacco is considered as the silent killer, which is a leading risk factor Bangladeshi smoker. Therefore, evolvement of cessation methods should for disease globally. A study found that nearly 6 million premature deaths, be analyzed among Bangladeshi smokers who intended to quit. 6.9% of years of life lost, and 5.5% disability-adjusted life-years (DALYs) occur in 2010 [1]. Global age-standardized prevalence of daily tobacco In literature, some studies have been found to conduct in Bangladesh smoking was 31.1% in 2012 for men [2]. It has been observed that nearly on tobacco use [9-16] which are limited to prevalence and predictors of 80% of the more than one billion smokers worldwide live in low- and middle- tobacco use. Few studies address the issue of knowledge and attitude income countries including Bangladesh, where the burden of tobacco- [17], marketing policy [18], tobacco use policy at home and offices [19] related illness and death is the heaviest. Bangladesh is one of the largest and cessation of tobacco smoking [8,20]. To our knowledge, no study has tobacco consuming countries in the world [2]. According to a previous study considered the issue of quitting methods of tobacco use in Bangladesh. of Bangladesh, smoking causes about 25% of all deaths in Bangladeshi Aims of the current study, therefore, are to obtain a nationally representative men aged 25 to 69 years and an average loss of life per smoker is seven estimate of prevalence of methods used to quit tobacco use in Bangladesh years [3]. Tobacco use results in large and growing health care cost [4,5]. and to identify significant correlates so that policy makers may find gap Among smokeless tobacco product, chewing tobacco (sadapata and zarda) in existing quitting methods and get idea to make the cessation more is most commonly used by the Bangladeshi community which contains 28 successful. cancer-causing agents (carcinogens). Smokeless tobacco is also highly associated with recession of the gums, gum disease, and tooth decay [6]. Due to its link with many chronic diseases various campaigns are going on Methods worldwide to minimize tobacco use. Along with various national strategic policies, quitting methods are also initiated to cease tobacco use, such as Secondary data collected by the Global Adult Tobacco Survey (GATS), medications, nicotine replacement therapy, telephone helpline, counselling 2010 (http://www.who.int/tobacco/surveillance/survey/gats/en/) has been used for the current study. Details about the study design, survey method, questionnaire, and definitions of various terminologies can be found in *Address for Correspondence: Papia Sultana, Department of Statistics, literature [8,19,21-24]. The survey was conducted in 14 countries including University of Rajshahi, Rajshahi, Bangladesh, Tel: +88-0721-711161; E-mail: papia. Bangladesh, Brazil, China, Egypt, India, Mexico, Philippines, Poland, [email protected] Russia, Thailand, Turkey, Ukraine, Uruguay and Vietnam from 2008 to Copyright: © 2020 Sultana P, et al. This is an open-access article distributed 2010. GATS used a global standard methodology for the survey. It included under the terms of the Creative Commons Attribution License, which permits information on the respondents' background characteristics, tobacco use unrestricted use, distribution, and reproduction in any medium, provided the (smoking and smokeless), cessation, second-hand smoke, economics, original author and source are credited. media, knowledge, attitudes and perceptions of tobacco use. In Bangladesh, GATS was conducted in 2009 as a household survey of persons 15 years of Received 05 February 2020 ; Accepted 17 February ; 2020 2020 age or older by the National Institute of Preventive and Social Medicine in Published 24 February Sultana P, et al. J Biom Biostat, Volume 11:1, 2020 collaboration with the Bangladesh Bureau of Statistics (BBS) and National smokers and among them 47.38% tried to quit tobacco smoking in the Institute of Population Research and Training (NIPRT). A multi-stage preceding 12 months of the survey (Table 1). Of those intended smokers (three-stage), geographically clustered sample design was used to produce 27.13% used any one or multiple form of methods to quit: 13.71% used nationally representative data. At the first stage 400 Primary Sampling Units counseling, 0.76% used nicotine replacement therapy, 0.57% used (PSUs) (Mauza in rural and Mohalla in urban areas) were selected with traditional medicine, 0.09% used quit line or telephone support line, 7.47% probability proportional to size (PPS), followed by a random selection of used switching to smokeless tobacco and 6.85% used other methods one Secondary Sampling Unit (SSU) per selected PSU. At the third stage (Figure 2). Among the respondents 24.26% used any form of smokeless households were selected systematically within the listed households from a selected SSU. One individual was randomly chosen from each selected Table 1. Characteristics of study subjects (GATS, 2010). household to participate in the survey. Survey information was collected Characteristics N=9629 using handheld devices. The household response rate was 97.7%, the Residence [n (%)] individual response rate was 95.8% and the overall response rate was Urban 4857 (50.44) 93.6%. There were a total of 9629 completed interviews (male=4468 and female=5161). Outcome variable was whether the quitting method(s) was Rural 4772 (49.55) (were) used by the tobacco user who tried to quit in the last 12 months of Gender [n (%)] the survey. Therefore, the sample size reduces to 1058 tobacco smokers Male 4468 (46.40) and 745 smokeless tobacco users for binary logistic regression analysis Female 5161 (53.60) (Figure 1). Age (years) [mean (sd)] 36.89 (14.90) Descriptive analysis had been executed to know the characteristics 15-24 2,073 (21.53) of the study subjects. For the purpose frequency with percentage had 25-34 2,665 (27.68) been reported for categorical data and mean with standard deviation 35-44 2,232 (23.18) had been reported for continuous data. A comparison of prevalence of 45-54 1,329 (13.80) quitting methods had been carried out to confounding factors: gender 55 and above 1,330 (13.81) and residence. Binary logistic regression [24] had been used to identify Education level [n (%)] significant socio-demographic and economic correlates of quitting methods No formal schooling 3416 (35.47) in Bangladesh. If a tobacco user who tried to quit tobacco use in the last 12 Less than primary school completed 1487 (15.44) months of the survey followed at least one quitting methods was consider Primary school completed 1115 (11.58) as 1 and 0 if didn’t follow any method. Logistic regression was suitable Less than secondary school completed 1,937 (20.12) for such binary dependent variable. Therefore, two logistic regressions had been carried out: one was for tobacco smoker and another was for Secondary school completed 663 (6.89) smokeless tobacco user. Therefore, the model estimated the Odds Ratio High school completed 463 (4.81) (OR) of using quitting methods among tobacco smokers who attempted to College/University completed 273 (2.84) quit in the last 12 months of the survey versus no using any quitting method. Post graduate degree completed 211 (2.19) The model for smokeless tobacco user estimates the similar OR. With 95% Don’t know 64 (0.66) confidence interval had been reported. Statistical software StataSE version Occupation [n (%)] 13 (StataCorp, USA) has been used to carry out statistical analyses.

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