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Review
. 2022 Mar;21(3):271-282.

Prevalence of Cigarette Smoking and its Related Factors among Students in Iran: A Meta-Analysis

Affiliations
Review

Prevalence of Cigarette Smoking and its Related Factors among Students in Iran: A Meta-Analysis

Marzieh Aslani et al. Tanaffos. 2022 Mar.

Abstract

Background: Smoking is a preventable cause of morbidity and mortality with an increasing prevalence in developing countries. The present systematic review and meta-analysis aimed to estimate the prevalence of smoking among college and high school students in Iran.

Materials and methods: Databases of Scopus, PubMed, Web of Science, Google Scholar, SID, and MagIran were searched with no time limitation. Observational studies published in Persian or English were included in the analysis. Time frame of the searches was from inception until 1 January 2021. The data was analyzed using random effects model, subgroup analysis, and meta-regression analysis. Heterogeneity among studies was examined using Cochran's Q test and I2 statistic.

Results: A total of 63 articles with a sample size of 58742 were analyzed. The pooled smoking prevalence was found to be 13.56% (95% CI: 11.65-15.47). There was a significant increase in the prevalence of smoking among female students between 1998 and 2020. Regions 1 of Iran had the highest prevalence rates of smoking (Provinces of Alborz, Tehran, Qazvin, Mazandaran, Semnan, Golestan, and Qom). Smoking was more prevalent among college students (15.62%, 95% CI: 13.14-18.10) than in high school students (9.77%, 95% CI: 7.19-12.35).

Conclusion: Given the relatively high prevalence of smoking among Iranian college and high school students, it is necessary to inform them about the harmful effects of smoking through training programs.

Keywords: Cigarette Smoking; Meta-Analysis; Prevalence; Students.

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Figures

Figure 1.
Figure 1.
The process of searching, screening and selecting articles
Figure 2.
Figure 2.
The prevalence of smoking by gender (1: male and 2: female).
Figure 3.
Figure 3.
Publication bias

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