Smoking prevalence and factors associated with cigarette smoking among university students in Sudan
Keywords:
Smoking prevalence, cigarette smoking, university students, associated factors, SudanAbstract
Background: Cigarette smoking is a significant public health concern worldwide. Smoking has harmful effects on human organs; regrettably, it continues to lead to the loss of lives among many adults and young people. This study aimed to estimate the prevalence of smoking among university students in Sudan
METHODS:
A cross-sectional study was performed among university students in Sudan. The data were collected using an online questionnaire survey, data were collected from 480 randomly chosen students.
RESULTS:
A total of 480 university students randomly recruited from 7 medical colleges participated in the study. The rate of smoking among university students revealed that a greater prevalence of smoking in females (n=300) 42.5% than males (n=180) 37.5%
The distribution of students across levels of study indicated that most of them are in the fifth year at 22.92 % (n=110), while a relatively high percentage of 18.75% (n=90) are in the sixth year. In comparison to the specialties, the most common was Medicine which had a representation rate of 37.5% (n=180).
The participants had a mean age of 21 years (SD = 3). From all subjects 20.83% (n=100) identified themselves as smokers and 79.17% (n=380) as non-smokers.
Regarding the factors associated with cigarettes, the majority of students (n = 460 (95.83%) were aware of the adverse effects of active smoking, and n = 20 (4.17%) were unaware. 34.00% (n=162) reported leisure time as a factor increasing tobacco consumption, and 4.17% (n=20) reported that the period of exam is a period increasing tobacco consumption.
As presented the associations of factors associated with cigarette smoking. The prevalence of smoking varied markedly among demographic groups; females were more likely to be current smokers (n = 140) or ex-smokers (n = 40) compared to males (n = 100; no ex-smokers), and this association was statistically significant (p = 0.03). According to the level of study, the majority of smokers were fifth-year students (n=60). Most commonly ex-smokers among first-year students (n=20) and internship (n=20) students. While there were no statistically significant associations with specialty (p=0.09), Medicine students showed the majority of smokers (n=100), followed by Physical Therapy students (n=50).
CONCLUSIONS
This study indicates that the smoking prevalence among university female students and students across levels of study is significantly high. It highlights the necessity for effective educational initiatives to combat smoking and underscores the importance of identifying key factors that should be considered when developing successful anti-smoking programs.
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References
Organization WH. WHO report on the global tobacco epidemic 2015: raising taxes on tobacco. World Health Organization; 2015.
Boutayeb A, Boutayeb S. The burden of non-communicable diseases in developing countries. International journal for equity in health. 2005;4:1-8.
Ezzati M, Lopez AD. Estimates of global mortality attributable to smoking in 2000. The Lancet. 2003;362(9387):847-52.
Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS medicine. 2006;3(11):e442.
Jha P. Avoidable global cancer deaths and total deaths from smoking. Nature Reviews Cancer. 2009;9(9):655-64.
de Jesus M, Chanda A, Grabauskas T, Kumar M, Kim AS. Cardiovascular disease and lung cancer. Frontiers in Oncology. 2024;14:1258991.
7. Oliveira A, Barros H, Maciel MJ, Lopes C. Tobacco smoking and acute myocardial infarction in young adults: a population-based case-control study. Preventive medicine. 2007;44(4):311-6.
Haghdoost AA, Moosazadeh M. The prevalence of cigarette smoking among students of Iran's universities: A systematic review and meta-analysis. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences. 2013;18(8):717.
Reitsma MB, Flor LS, Mullany EC, Gupta V, Hay SI, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and initiation among young people in 204 countries and territories, 1990–2019. The Lancet Public Health. 2021;6(7):e472-e81.
Jarelnape AA, Ahmed W, Omer S, Fadlala A, Ali Z, Hassan M, et al. Prevalence of smoking cigarettes and beliefs regarding smoking habits among medical students: a cross-sectional study in Sudan. Frontiers in Public Health. 2023;11:1193475.
Control CfD, Prevention. Current cigarette smoking prevalence among working adults---United States, 2004--2010. MMWR: Morbidity & Mortality Weekly Report. 2011;60(38).
Khan MMA, Rahman MM, Jeamin SS, Mustagir MG, Haque MR, Kaikobad MS. Psychosocial and socio-environmental factors associated with adolescents’ tobacco and other substance use in Bangladesh. PLoS One. 2020;15(11):e0242872.
Freedman KS, Nelson NM, Feldman LL. Smoking initiation among young adults in the United States and Canada, 1998-2010: a systematic review. Preventing chronic disease. 2011;9:E05.
Yang JS, Faruqui A, Sou A, Mackey TK. Non-compliance with university tobacco-free policies: A qualitative exploration. Tobacco Prevention & Cessation. 2022;8:14.
Al-Hakimi HA, Othman AE, Mohamed OG, Saied AM, Ahmed WA. Public knowledge of oral cancer and modelling of demographic background factors affecting this knowledge in Khartoum State, Sudan. Sultan Qaboos University Medical Journal. 2016;16(3):e335.
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