Study Sample: The current cross-sectional study recruited 2425 participants of age between 18 and 90 years from the Narail district of Bangladesh. The description of Narail district and its location map was described elsewhere. The sample size was calculated based on the prevalence of depression and anxiety which has been described in detail previously. For this current study, the sample size of 2425 was 98% powered at a significance level of 0.05 to show a prevalence of current smoking of 23% with a 95% confidence interval. Recruitment and Methods of Data Collection: We used a multistage cluster random sampling technique for data collection. Participants from Narail Upazila originated from 13 rural unions and 9 wards under the urban city of Narail. Bangladesh is divided into 8 main administrative divisions, each of which is divided into a number of districts, and thus there are 64 districts or Zila. Each district is composed of a number of Upazilas, each of which is again divided into some rural unions and an urban pourashava. A rural union has a number of villages with 200–400 households, and an urban pourashava is subdivided into a number of wards, which again divides into a number of mahallas that comprised approximately 500 households. Narail is such an Upazila. Outcome Variables: The outcome variable of the current study was smoking status, and it was defined into three categories: “Never smoking” was defined as participants who had never smoked throughout their life. “Ever smoking” was classified as any participant who was a previous tobacco smoker or a current tobacco smoker, whether daily or occasional. Ex-smoker was classified as if someone smoked previously but had quit completely at least three months ago. “Tobacco smoke” was defined as participants who smoked any type of bidi or cigarette. “Smokeless tobacco” was defined as participants who currently consumed any type of smokeless tobacco product, such as “gul,” which is ash from the tobacco leaf that is sniffed and/or stuck on their teeth, sun-dried or cured raw leaf, which is known as “sada patha” that is chewed with betel leaf, and “zarda,” which is commercially manufactured from tobacco leaf, lime, and species that is also chewed with betel leaf. Independent Variables: Demographic details for age, gender, and level of education, which is categorised into no schooling, primary school level of education (grades 1 to 5), secondary school level of education (grades 6 to 10), and school secondary certificate (SSC) or above, were collected. SES was assessed according to Cheng et al.’s study [36] asking whether “over the last twelve months, in terms of household food consumption, how would you classify your socioeconomic status,” with the possible answers as follows: (i) insufficient funds for the whole year, (ii) insufficient funds some of the time, (iii) neither deficit nor surplus (balance), and (iv) sufficient funds most of the time. Data on current occupation (e.g., student, housework, farming, daily labours, business, government or nongovernment job, and retired or unable to work), marital status (married, widowed, never married, or single), current health problems such as diabetes and high blood pressure (yes or no), and number of health problems were also collected during the interview. Statistical Analysis: Participant’s age, gender, level of education, marital status, SES, occupation, existence, and a number of health conditions were reported using descriptive statistics by gender. Smoking status was examined in association with each of the sociodemographic characteristics using Chi-square tests for the total sample, as well as separate analyses were performed for males and females. The age-standardized prevalence for “current,” “ex-smoker,” “ever smoker,” and “SLT use” was calculated using the population size of different age groups at a national level. Although SES has been reported to be associated with smoking status, SES is positively correlated with the level of education and thus both are not used for adjustment of the same model to avoid over adjustment problems. Since the number of ex-smokers is small, the models were fitted for ever smoker throughout the manuscript. The statistical software was used SPSS (SPSS Inc, version 21).