Prevalence and Predictors of Current Tobacco Smoking in Bangladesh

Volume 1 | Issue


Prevalence and Predictors of Current Tobacco Smoking in Bangladesh
We have used secondary data collected by the Global Adult Tobacco Survey (GATS), 2010 [12].The survey was conducted in 14 countries including Bangladesh, Brazil, China, Egypt, India, Mexico, Philippines, Poland, Russia, Thailand, Turkey, Ukraine, Uruguay and Vietnam from 2008 to 2010.GATS used a global standardized methodology.It included information on the respondents' background characteristics, tobacco use (smoking and smokeless), cessation, second-hand smoke, economics, media, and knowledge, attitudes and perceptions of tobacco use.In Bangladesh, GATS was conducted in 2009 as a household survey of persons 15 years of age or older by the National Institute of Preventive and Social Medicine in collaboration with the Bangladesh Bureau of Statistics (BBS) and National Institute of Population Research and Training (NIPRT).A multi-stage (three-stage), geographically clustered sample design was used to produce nationally representative data.At the first stage 400 Primary Sampling Units (PSU)s (Mauza in rural and Mohalla in urban areas) were selected with probability proportional to size (PPS), followed by a random selection of one Secondary Sampling Unit (SSU) per selected PSU.At the third stage households were selected systematically within the listed households from a selected SSU.One individual was randomly chosen from each selected household to participate in the survey.Survey information was collected using handheld devices.The household response rate was 97.7%, the individual response rate was 95.8% and the overall response rate was 93.6%.There were a total of 9629 completed interviews (male=4468 and female=5161).Details about the survey methods, questionnaire, and definitions of various terminologies can be found in [12][13][14].
The wealth index was constructed by the GATS Collaborator Team using principal component analysis.Asset information covered household ownership of a number of items, such as electricity, flush toilet, fixed telephone, cell telephone, television, radio, refrigerator, car, moped/scooter/motorcycle, washing machine, bicycle, sewing machine, almirah/ wardrobe, table, bed or cot, chair or bench, watch or clock, as well as the type of main material used for the roof of the main house (cement, tin and katcha such as bamboo/thatched/straw).Each asset was assigned a weight (factor score) generated through principal components analysis, and the resulting asset scores were standardized in relation to a normal distribution with a mean of zero and standard deviation of one.Each household was then assigned a score for each asset, and the scores were summed for each household; individuals were ranked according to the total score of the household in which they resided.The sample was then divided into quintiles from one (lowest) to five (highest).A single asset index was developed for the whole sample; indices were not prepared for urban and rural populations separately [15].
The term 'current tobacco smokers' includes 'daily' and/ or 'occasional (less than daily)' tobacco smokers.Ex-smokers have not been included in the analysis of this paper.
Various statistical methodologies have been used to analyze the data.Descriptive analysis has been performed to know the characteristics of the study subjects.For that frequency with percentage has been reported.A comparison of socio-demographic and economic characteristics of study subjects to current tobacco smokers has been performed.To compare variables chi-square test (Pearson Chi-square or Likelihood Ratio Chi-square) has been used as they are categorical, and prevalence with 95% confidence interval has been reported for individual variable.These tests have been performed at 5% level of significance.To analyze the sociodemographic and economic predictors to current tobacco smoker's binary logistic regression has been used and unadjusted and adjusted Odds Ratio (OR) has been reported.Age adjusted and unadjusted prevalence has been reported, too.Statistical software StataSE version 11 (StataCorp, USA) has been used to carry out statistical analyses.Missing data on "age" and "occupation" has been adjusted using related information.For example, missing data on age has been adjusted using year of birth; missing data on occupation has been adjusted using information on educational status and age, those were for students and elderly persons, only.However, missing data on educational level (0.66%) cannot be adjusted as no other supportive variable is available.For advanced analysis missing data has been avoided and thus sample size 9565 has been used in the advanced analysis.

Statistical Methods
It has been observed that prevalence of current tobacco smokers in Bangladesh is 23.19 (48.28% male and 1.47% female) and the prevalence of current daily tobacco smokers is 21.16 (Table 1).Table 2 presents percentage of various tobacco products smoked in Bangladesh.It has been found that among the tobacco products manufactured cigarettes and bidis are mostly smoked.Equivalent numbers of subjects were surveyed from rural and urban area (50.44% from urban and 40.56% from rural) (Table 3).Among the survey subjects, females are more than males (46.40% male and 53.60% female).Most of the subjects are of no formal schooling (35.48%) and most are of homemaker/ housework (41.90%).

Results
Most Prevalence of tobacco smoking is relatively higher in rural area (52.35%; 95% CI=50.29,54.42) than urban area (47.65%; 95% CI=45.58,49.72) (Table 4).Maximum of the tobacco smokers belong to age group 25-34 years (26.29%;95% CI=24.46,28.11) and 35-44 years (28.93%;95% CI=27.05,30.81).Respondents with business (small/large) as main occupation smoke most (21.41%,95% CI=19.70,23.11).On the other hand, respondents who are homemaker/housework smoke least (2.28%, 95% CI=1.66, 2.90).It has been also found that respondents who belongs to highest wealth index, smoke tobacco least.However, educational level, independently is not gradually decreasing the smoking of tobacco which was expected, although it differs significantly to smoking status (p-value <0.001).Note: Wealth index was calculated using principal component analysis.Asset information covered household ownership of a number of items, such as electricity, flush toilet, fixed telephone, cell telephone, television, radio, refrigerator, car, moped/scooter/motorcycle, washing machine, bicycle, sewing machine, almirah/ wardrobe, table, bed or cot, chair or bench, watch or clock, as well as the type of main material used for the roof of the main house (cement, tin and katcha such as bamboo/thatched/straw) Age adjusted and unadjusted prevalence of current tobacco smokers with 95% CI have been reported, too (Table 5).It has been found that both age-adjusted and unadjusted prevalence of current smoking are similar for all cases.About 48.28% of males are currently smoking and about 1.49% of females are currently smoking.About 22.02% of urban people are currently smoking, whereas about 24.70% of rural people are currently smoking.Unadjusted and adjusted relationships of socio-demographic and economic variables to smoking status have been analyzed to identify the predictors of current tobacco smoking (Table 6).It has been found that for unadjusted case, rural respondents are significantly and more likely to smoke tobacco currently (OR=1.16,95% CI=1.05, 1.27).But when adjusted to all factors, rural respondents are found to be less likely to smoke but not significantly (OR=0.90,95% CI=0.79, 1.04).Males are about 62.45 times more likely to smoke currently than females (unadjusted OR=62.45,95% CI=49.42,78.91) and after adjustment, they are 37.55 times more likely to smoke than females (OR=37.55,95% CI=25.91,54.41).Respondents of youngest age group (15-24yrs) are less likely to smoke currently than all other age groups for both adjusted and unadjusted cases and also respondents with no formal schooling are most likely to smoke than respondents with all other level of education.Businessmen are 2.49 times more likely to smoke than employee (unadjusted OR=2.49, 95% CI=2.06, 3.01), farmers are 3.04 times more likely (unadjusted OR=3.04, 95% CI=2.50, 3.71), workers/day labours are 2.65 times more likely, and others are less likely to smoke currently than employee.Similar pattern has been found after adjusting with all factors.It has been also found that whether all factors are adjusted or not respondents with lowest wealth index are most likely to smoke than respondents of all other wealth index.In this country representative cross-sectional study of Bangladesh, prevalence of current tobacco smoking is 23.19%, of which 48.28% are male and 1.47% are female.Daily tobacco smoking is more prevalent in rural area (22.51%) than urban area (19.85%).Youngest subjects are less likely, whereas subjects with no formal education and those with lowest wealth-index are more likely to be current smokers than their counterpart.Businessmen, farmers and workers/day labours are more likely to be current smokers, and employee, students and respondents with other jobs are less likely to be current smokers.

Journal of Biostatistics and Biometric
The prevalence of tobacco smoking of this study reveals that about 37 million peoples with age 15 years and above are currently smoking in Bangladesh.However, the prevalence of smoking among males is found to be very high and higher than neibouring countries Pakistan [16] and Nepal [17].It is a hope that due to social norms in Bangladesh tobacco smoking of females are not well accepted.The reported results also show the same scenario.But, this large proportion of males smoking tobacco may cause second hand smoking among females [18] as well as among children and non-smoker males.
In terms of regional differences, respondents from rural area are more likely to smoke tobacco.This might be for their ignorance about adverse effect of tobacco smoking, or they might not be aware about their own health like many other diseases [19,20].Respondents belonging youngest age group have been found to smoke tobacco less.But the onset of earning age group is found to smoke more.The increase in prevalence among them might have indication about their job stress or family stress.Unless effective tobacco control measures are implemented soon, the future disease burden in Bangladesh will probably be influenced by the high level of smoking in young male adults.Like other public health concerns, less educated people are more likely to smoke tobacco as they are less aware about health hazards and more likely to have higher degree of fatalism and overall risk taking behavior [21].Same result has been found in India and Sri Lanka [22].Government and nongovernment employee, retired persons, homemaker/ housework, retired and unemployed, and students/ others are less likely to smoke.On the other hand, businessmen, farmers, and day labours are more likely to smoke.Similar result has been reported for developed countries [23,24] and also other studies for Bangladesh [25].Peoples with stressed job are more likely to find themselves in condition predisposing them to initiation of smoking tobacco.Similar pattern has been found with respect to wealth index.Respondents with lowest wealth index are most likely to smoke and with highest wealth index are least likely.
The major strengths of our study include large sample size, the coverage of men and women smokers, the coverage of both rural and urban areas, and the nationally representative population.However, there are several limitations that need to be addressed.The findings in this report are based on self-reports [12].Furthermore, education categories were combined into broad groupings, which could have contributed to biased estimates in terms of the gradients observed.Nonetheless, these groupings provided greater precision than those used in earlier tobacco use research in Bangladesh [8][9][10].The data used in constructing wealth index is based on limited number of asset variables, which might result in incomplete or under representing socioeconomic status.Some other variables like psychological variables could provide more predicting accuracy, but no such variable is available.

Discussion
In conclusion, the results of this study reveal that tobacco smoking is strongly associated with social disadvantage, for example, low socio-economic status, less education.Giving it as public health priority, WHO Framework Convention on Tobacco Control should be implemented.In addition, a nationwide campaign is needed to educate people in rural area about the health risks of smoking tobacco.

Table 1 :
Total sample size=9629.P-values are for the difference of proportions for residence Prevalence of current tobacco smoking in Bangladesh, 2010 stratified by area of residence and gender Applications Volume 1 | Issue 1 Note: Note: Total sample size=9629.Other smoked tobacco includes zarda, pan masala, etc

Table 2 :
Prevalence of tobacco product smoked in Bangladesh, 2010 stratified by area of residence

Table 3 :
Socio-demographic and economic characteristics of the study subjects P-values are obtained from Chi-square test (Pearson Chi-square or Likelihood Ratio whichever applicable), 95% CIs are obtained from p±1.96 se(p).-indicates N/A due to no observation.Total sample size=9629. *

Table 4 :
Comparing socio-demographic and economic factors between smokers and non-smokers

Table 5 :
Unadjusted and age-adjusted prevalence of Current Tobacco Smokers derived from logistic regression to current tobacco smoking (Sample size=9565)

Table 6 :
Unadjusted and adjusted odds ratios derived from logistic regression to current tobacco smoking (Sample size=9565)