SHSe is prevalent in various settings in Georgia, requiring efforts to promote support for public smoke-free policies and implementation of personal policies.

Objective: Smoking is a serious problem that has a devastating impact on health. The objective of this study was to describe the prevalence of and factors influencing smoking among medical and non-medical students in Tbilisi, Georgia, as well as to determine whether medical education has an impact on smoking. Methods: A cross-sectional study was carried out at Tbilisi State Medical University and Tbilisi State University, both of which are located in Tbilisi, Georgia. A total of 400 4th-year students (200 students at each university) were asked to complete standardized questionnaires. Results: Of the sample as a whole, 48.75% were identified as smokers and 51.25% were identified as nonsmokers. The mean age was 20.24 years among smokers and 20.26 years among nonsmokers. Of the medical students, 49.5% were smokers, as were 48.0% of the non-medical students. The male-to-female ratio in the study population was 0.9:1.1. Smoking was found to have a strong relationship with gender, males accounting for 65% of all smokers. Of the smokers, 56.9% stated that they would like to quit smoking (for health or financial reasons). Of the medical students, 59.5% expressed a willingness to quit smoking, as did 54.2% of the non-medical students. Conclusions: There is a need to improve smoking education for undergraduate students. Special attention should be given to the inclusion of anti-smoking education in undergraduate curricula, as well as to the implementation of smoking prevention campaigns at institutions of higher education. However, such measures will be effective only if tobacco control policies are strictly enforced on the national level as well.Keywords: Attitude to Health; Smoking; Students, Medical; Prevalence. ResumoObjetivo: O tabagismo é um problema sério, cujo impacto na saúde é devastador. O objetivo deste estudo foi descrever a prevalência do tabagismo e os fatores que o influenciam em estudantes de medicina e outros universitários em Tbilisi, Geórgia, bem como determinar se a educação médica tem impacto no tabagismo. Métodos: Foi realizado um estudo transversal na Universidade Médica Estadual de Tbilisi e na Universidade Estadual de Tbilisi, ambas em Tbilisi, Geórgia. Pedimos a 400 alunos de quarto ano (200 em cada universidade) que respondessem a questionários padronizados. Resultados: Do total da amostra, 48,75% eram fumantes e 51,25% eram não fumantes. A média de idade dos fumantes foi de 20,24 anos e a dos não fumantes foi de 20,26 anos. Dos estudantes de medicina, 49,5% eram fumantes, assim como o eram 48,0% dos universitários que não estudavam medicina. A razão entre os gêneros masculino e feminino foi de 0,9:1,1. O tabagismo apresentou forte relação com o gênero; 65% dos fumantes eram do sexo masculino. Dos fumantes, 56,9% disseram que gostariam de parar de fumar (por motivos de saúde ou financeiros). Dos estudantes de medicina, 59,5% disseram que estavam dispostos a parar de fumar, assim como o disseram 54,2% dos universitários que não estudavam medicina. Conclusões: É preciso melhorar a educaç...

Garnering support for smoke-free policies is critical for their successful adoption, particularly in countries with high smoking prevalence, such as Armenia and Georgia. In 2018, we surveyed 1456 residents (ages 18–64) of 28 cities in Armenia (n = 705) and Georgia (n = 751). We examined support for cigarette and electronic nicotine delivery systems (ENDS)/heated tobacco product (HTP) smoke-free policies in various locations and persuasiveness of pro- and anti-policy messaging. Participants were an average age of 43.35, 60.5% female, and 27.3% current smokers. Nonsmokers versus smokers indicated greater policy support for cigarette and ENDS/HTP and greater persuasiveness of pro-policy messaging. Armenians versus Georgians generally perceived pro- and anti-policy messaging more persuasive. In multilevel linear regression, sociodemographics (e.g., female) and tobacco use characteristics (e.g., smoking less frequently, higher quitting importance) correlated with more policy support. Greatest policy support was for healthcare, religious, government, and workplace settings; public transport; schools; and vehicles carrying children. Least policy support was for bar/restaurant outdoor areas. The most compelling pro-policy message focused on the right to clean air; the most compelling anti-policy message focused on using nonsmoking sections. Specific settings may present challenges for advancing smoke-free policies. Messaging focusing on individual rights to clean air and health may garner support.

Local coalitions can advance public health initiative but have not been widely used or well-studied in low- and middle-income countries. This paper provides (i) an overview of an ongoing matched-pairs community-randomized controlled trial in 28 communities in Armenia and Georgia (N = 14/country) testing local coalitions to promote smoke-free policies/enforcement and (ii) characteristics of the communities involved. In July–August 2018, key informants (e.g. local public health center directors) were surveyed to compare their non-communicable disease (NCD) and tobacco-related activities across countries and across condition (intervention/control). More than half of the informants (50.0–57.1%) reported their communities had programs addressing hypertension, diabetes, cancer and human papilloma virus, with 85.7% involving community education and 32.1% patient education programs. Eleven communities (39.3%) addressed tobacco control, all of which were in Georgia. Of those, all included public/community education and the majority (72.7–81.8%) provided cessation counseling/classes, school/youth prevention programs, healthcare provider training or activities addressing smoke-free environments. Informants in Georgia versus Armenia perceived greater support for tobacco control from various sectors (e.g. government, community). No differences were found by condition assignment. This paper provides a foundation for presenting subsequent analyses of this ongoing trial. These analyses indicate wide variability regarding NCD-related activities and support across communities and countries.

Background Self-reported measures of tobacco use may have limited validity, particularly among some populations. This study aims to validate self-reported smoking measures among Georgian adults participating in the 2016 STEPS survey using cotinine biomarker measurements, and to explore potential differences according to sociodemographic characteristics. Additionally, this paper examines how the estimated prevalence of smoking in the population varies according to measurement type. Methods Using the WHO standardized STEPS methodology, adults self-reported their smoking status. In a later stage of the survey, a subset of participants provided a urine sample, which was tested for cotinine. Using each participant’s objective cotinine measurement and their self-reported smoking status, we calculated the sensitivity, specificity and positive predictive value of self-reported smoking. Next, we calculated the estimated prevalence of smokers according to the type of measurement. Results Results indicated high sensitivity (83.37%, 95% CI: 76.79–88.37%) among males and relatively low sensitivity (38.60% CI: 29.23–48.90%) among females. According to self-report, the prevalence of smokers was 26.44% (23.61–29.48%), while according to cotinine detection, the prevalence of smokers was 32.27% (29.16–35.55%). Among all subgroups, the self-reported prevalence of smoking was significantly lower than the cotinine-detected prevalence. Conclusions To the best of our knowledge, this is the first time that the validity of the STEPS self-reported tobacco indicator has been tested. Self-reported measures of smoking status may lead to an under-estimation of smoking prevalence among Georgian adults, especially women. These findings suggest that integration of biochemical measures of smoking into tobacco use studies may be an important investment.