Prevalence of Cigarette Smoking and Associated Factors among Male Citizens in Tehran, Iran

Kassani, Aziz; Baghbanian, Abdolvahab; Menati, Rostam; Hassanzadeh, Jafar; Asadi‐Lari, Mohsen; Menati, Walieh

doi:10.7314/apjcp.2016.17.3.1473

Cited by 11 publications

(6 citation statements)

References 28 publications

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“…In other words, the young showed a stronger tendency to smoke (25,45,46). Contrary to the present study, some studies reported higher rates of TU at higher ages (4,47,48). This difference might be explained by different features of the target populations and the age ranges.…”

Section: Discussioncontrasting

confidence: 99%

Prevalence of Tobacco Use and the Factors Affecting It: A Cross-sectional Analysis of Baseline Data From the Bandare Kong Cohort Study in Southern Iran

et al. 2022

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Background: Tobacco use (TU) has been increasing in Iran and turned into a major national healthcare concern. Therefore, the present research aimed to explore the prevalence of TU and its predictors in Bandar Kong in the south of Iran. Materials and Methods: The baseline data from the Bandare Kong Cohort Study were used in a prospective study of 4,035 subjects (40-70 years old) in Hormozgan province from 2016 to 2018. Adjusted and crude odds ratios (OR) were used at 95% confidence interval (CI) to determine the predictors of TU. Results: Hookah smoking (HS) was found to be the most prevalent type of smoking (17.60%, 95% CI: 16.41-18.78%), followed by second-hand smoking (17%, 95% CI: 15.81-18.14%) and cigarette smoking (9%, 95% CI: 8.11-9.89%), respectively. Age, gender, education, alcohol consumption, and environmental tobacco smoke (ETS) were the main predictors of cigarette and HS. Marital status, place of residence, and psychological problems were the predictors of HS (OR = 0.1.65, 95% CI: 1.11, 2.45, P = 0.01), and body mass index (BMI) (OR = 0.95, 95% CI: .93, 0.98, P = 0.002) and drug abuse (OR = 4.52, 95% CI: 3.11, 6.55, P < 0.001) were the predictors of cigarette smoking. Conclusion: Male gender, higher age, rural residence, low education, alcohol consumption, drugs, second-hand smoking, and history of depression were among the main risk factors of smoking behavior. The results indicated a considerable need for more educational and preventive programs for each risk factor involved in smoking behavior especially for HS, exposure to ETS, and its consequences in the population of Bandar Kong.

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Section: Discussioncontrasting

confidence: 99%

Prevalence of Tobacco Use and the Factors Affecting It: A Cross-sectional Analysis of Baseline Data From the Bandare Kong Cohort Study in Southern Iran

et al. 2022

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“…In other words, the young showed a stronger tendency to smoke [25,45,46]. Contrary to the present research, another study reported a higher rate of TU at a higher age [4,47,48]. This divergence might be explained by different features of the target populations and the age ranges.…”

Section: Discussioncontrasting

confidence: 99%

Prevalence of Tobacco use and Predictors: A Cross-Sectional Analysis of Baseline Data from Kong Cohort Study in the South of Iran

Dadipoor

Nejatizade

Farshidi

et al. 2020

Preprint

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Background: Tobacco use (TU) has been increasing in Iran and turned into a major national healthcare concern. Thus, the present research aimed to explore the prevalence of TU and its predictors in Bandar-e-Kong in the south of Iran. Methods: The baseline data from Kong cohort study (KCS) were used in a prospective study of 4,035, 40-70 year old subjects in Bandar Abbas in Hormozgan Province between 2016 and 2018. Adjusted and crude odds ratios (OR) were used at 95% confidence interval (CI) to measure the predictors of TU.Results: Hookah smoking (HS) showed to be the most prevalent type of smoking (17.60%, 95% CI: 16.41-18.78%). Only next was second-hand smoking (17%, 95% CI: 15.81-18.14%) followed by cigarette smoking (9%, 95% CI: 8.11-9.89%). Age, gender, education, alcohol consumption and environmental tobacco smoke (ETS) were the main predictors of cigarette and hookah smoking. Marital status, place of residence and psychological problems were the only predictors of HS (OR=.1.65, 95% CI: 1.11, 2.45, p=.01), BMI (OR=.95, 95% CI: .93, .98, p=.002) and drug abuse (OR=4.52, 95% CI: 3.11, 6.55, p<.001) were the only predictors of cigarette smoking. Conclusions: Masculinity, higher age, rural residence, low education, alcohol consumption, drugs, second-hand smoking and history of depression were among the main risk factors of smoking behavior. The results indicated a considerable need for more educational and preventive programs for each risk factor involved in smoking behavior especially for HS, exposure to ETS and its consequences in Kong population.

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“…The prevalence of tobacco use was higher among those above 30 compared to those below 30. Consistent with this finding, other studies reported the increasing rate of tobacco use with higher age (4,30,31). Contrarily, some other works indicated a higher tendency to tobacco use among youngsters (13,32,33).…”

Section: Discussionsupporting

confidence: 80%

Correlates of Tobacco Use: A Population-Based Study in Southern Iran

et al. 2022

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Background: Around the globe, tobacco use is a major risk factor that is associated with diseases, especially noncontagious diseases. Iran has not been an exception and has witnessed an exponential growth in tobacco use. This rising trend motivated the present study to explore the correlates of tobacco use in the south of Iran in Hormozgan Province. Materials and Methods: This cross-sectional study was carried out in 2017 on 4,872 residents of Hormozgan who were selected through multi-stratified cluster sampling. The data were collected by researcher-made questionnaires which were analyzed in SPSS 19. A logistic regression analysis was run to find the foremost correlates of tobacco use. Results: The findings indicated that 1,085 (22.3%) of the sample used tobacco. Based on the obtained data, 25.1% and 20.3% of participants were males and females, respectively. The major correlates of tobacco use were found to be masculinity, higher age (P < 0.001), citizenship (P < 0.001), and low education level (P < 0.001). The unemployed or those with simple jobs showed a higher tendency to use tobacco compared to the more professional (P < 0.001). Finally, single participants demonstrated a higher rate of using tobacco in comparison with married ones (P < 0.001). Conclusion: Significant differences were found between rural and urban residents, those with low and high education levels, men and women, the unemployed and employed participants, as well as the single and married ones. Accordingly, considering effective factors accounting for these divergences and designing effective interventions can help moderate the effect of these factors in controlling tobacco use in the future in Hormozgan.

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Prevalence of Cigarette Smoking and Associated Factors among Male Citizens in Tehran, Iran

Cited by 11 publications

References 28 publications

Prevalence of Tobacco Use and the Factors Affecting It: A Cross-sectional Analysis of Baseline Data From the Bandare Kong Cohort Study in Southern Iran

Prevalence of Tobacco Use and the Factors Affecting It: A Cross-sectional Analysis of Baseline Data From the Bandare Kong Cohort Study in Southern Iran

Prevalence of Tobacco use and Predictors: A Cross-Sectional Analysis of Baseline Data from Kong Cohort Study in the South of Iran

Correlates of Tobacco Use: A Population-Based Study in Southern Iran

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