Liudmila Zasimova1. 1. Department of Applied Economics, Faculty of Economic Sciences, National Research University Higher School of Economics (HSE), 28/2, Room 2214 Shabolovka Str., Moscow, Russian Federation, 119049. Lzasimova@hse.ru.
Abstract
OBJECTIVES: The study examined the smokers' non-compliance rates in indoor public places in Russia and the sociodemographic factors associated with non-compliance. METHODS: Univariate analysis and logistic regression models were performed using cross-sectional data from a representative sample of Russian adults (N = 4006). RESULTS: 27.2% of Russian smokers did not comply with smoke-free bans. Non-compliance was attributed to sociodemographic characteristics of smokers, mainly to the number of cigarettes smoked per day, regular alcohol consumption, being aged between 15 and 34 years, being in the highest income group and living in an urban area. Neither the sex, nor the family status of smokers exerted a statistically significant affiliation with non-compliance. Higher rates of non-compliance were observed in restaurants, cafes, bars and nightclubs, common domestic premises of apartment buildings and indoor workplaces. Violations on public transport, in governmental buildings, health and sport facilities, colleges and universities were less common. CONCLUSIONS: There is a need to revise the methods of enforcement with respect to sociodemographic characteristics of smokers associated with non-compliance in public places where violations are widespread.
OBJECTIVES: The study examined the smokers' non-compliance rates in indoor public places in Russia and the sociodemographic factors associated with non-compliance. METHODS: Univariate analysis and logistic regression models were performed using cross-sectional data from a representative sample of Russian adults (N = 4006). RESULTS: 27.2% of Russian smokers did not comply with smoke-free bans. Non-compliance was attributed to sociodemographic characteristics of smokers, mainly to the number of cigarettes smoked per day, regular alcohol consumption, being aged between 15 and 34 years, being in the highest income group and living in an urban area. Neither the sex, nor the family status of smokers exerted a statistically significant affiliation with non-compliance. Higher rates of non-compliance were observed in restaurants, cafes, bars and nightclubs, common domestic premises of apartment buildings and indoor workplaces. Violations on public transport, in governmental buildings, health and sport facilities, colleges and universities were less common. CONCLUSIONS: There is a need to revise the methods of enforcement with respect to sociodemographic characteristics of smokers associated with non-compliance in public places where violations are widespread.
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