TCPHEE   

Tobacco Control and Public Health in Eastern Europe
founded in honor of professor Ilya N. Andreev,
the first coordinator of the coalition 
‘For smoke-free Tatarstan'

 

ISSN 2222-2693 (Print)
ISSN 2222-4629
(Online)

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Conference abstract

Possible causes of quitting smoking among women in Ukraine
Ksenia Bondarenko, Tatiana Andreeva

BACKGROUND. According to the Global Adult Tobacco Survey completed in 2010 in Ukraine, 28,8% (about 11,5 million) of adults aged 15 years and older are current smokers. Among women, prevalence of current smoking is 11,2%, which is considerably less than among men (50%). The goal of the study was to reveal the determinants of quitting smoking among women.
METHODS. The sample included 571 women, who were current or former daily smokers. Firstly, the bivariate analysis (cross-tabulation and chi-square test) was conducted. Then, the significant determinants from bivariate analysis were included to binary logistic regression. The women’s smoking status (current daily smokers vs. former daily smokers) was considered an outcome measure. Independent variables included education, age, occupation, income, religion, marital status, variation in prices for tobacco products, awareness of the negative consequences of smoking, permission to smoke at home, and whether the woman received an advice to quit smoking from a health worker.
RESULTS. Bivariate analysis showed that there was statistically significant relationships with age, marital status, occupation, permission to smoke at home, having received information about the dangers of smoking from the radio, newspapers, and other sources. The multivariate analysis demonstrated that the unemployed women and women from households where smoking was banned were more likely to quit smoking. Unmarried women were less likely to quit smoking than married.
CONCLUSIONS. Quitting smoking among women was associated with being married, unemployed, and living in a home where smoking is banned. Major limitations of the study are the small sample size and cross-sectional nature of the study; hence, the inerrant conclusions about cause-effect relationships are not possible. So, longitudinal study with larger sample could be a better future option.

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