Effectiveness of a School-Based Tobacco Prevention Program for Middle School Students in Saudi Arabia: A Quasi-Experimental Controlled Trial

Male Youth Tobacco Usage Pattern in Banned Smoking Area in Comparison With Non-banned Smoking Area: A Cross-Sectional Study

OBJECTIVES

This study aimed to assess the impact of smoking bans in schools on smoking prevalence and behavior among Saudi male youth aged 13-15 years.

METHODS

A cross-sectional comparative study was conducted involving students from two intermediate schools in Jeddah - one with a smoking ban and the other without. Data collection utilized the Global Youth Tobacco Survey questionnaire, and statistical analysis was performed using SPSS version 21.0.

RESULTS

The study had a 93.9% response rate, with 659 students participating. Notably, a lower percentage of ever-smoking was observed in the banned area compared to the non-banned area (39.6% vs. 50.9%; p=0.002). Current smoking rates were also lower in the banned area (14.2% vs. 23.8%; p=0.014). Family and peer influences on smoking were reduced in the banned area, and more students discussed the harmful effects of smoking with family (72.8% vs. 59.8%; p=0.003). Students in the non-banned area found it easier to access cigarettes. A significantly higher percentage of students in the banned area were resolute in not smoking if offered a cigarette by their best friend (65.0% vs. 59.2%; p=0.006). Students in the non-banned area reported higher exposure to cigarette smoke at home and in other places compared to those in the banned area (15.8% vs. 10.8%; p=0.008), respectively. A higher percentage of smokers in the banned area expressed a desire to quit smoking, though the difference was not statistically significant. More anti-smoking media messages were reported in the banned area (35.6% vs. 33.6%; p=0.004). Fewer respondents in the banned area had items with cigarette brand logos (13.6% vs. 19.9%; p=0.03).

CONCLUSION

The findings underscore the effectiveness of smoking bans in schools in reducing smoking prevalence among students. This suggests a broader societal shift in attitudes toward smoking, highlighting the need for comprehensive bans as part of public health strategies. However, there remains a need for targeted interventions to address the complexities of smoking behavior in both banned and non-banned areas.

Effectiveness of health promotion intervention on the knowledge and selected practices related with oral cancer among a group of vulnerable youth in Sri Lanka

BACKGROUND

There has been a noticeable trend of younger people being diagnosed with oral cancer, particularly among those from low socio-economic backgrounds. Poor knowledge on risk factors toward oral cancer and the growing fashion of using tobacco also identified among younger generation. Present study aimed to assess the effectiveness of a health promotion intervention to improve the knowledge and encourage positive practices associated with oral cancer among a group of vulnerable youth in Sri Lanka.

METHODS

The study was a community based quasi experimental study, conducted in urban slums in the district of Colombo, Sri Lanka. Sample size for one group was 120 youth participants aged between 15 and 24 years. Health promotion intervention was implemented to the intervention group and follow up period was 6 months. The control group did not receive the intervention. Awareness of oral cancer and oral potentially malignant disorders, tobacco chewing practice (betel quid chewing and commercially prepared tobacco and areca nut packet (CPTAP) chewing) and self-mouth examination practice were assessed at the beginning and after 6 months in both groups using an interviewer administered questionnaire. Changes in the knowledge, self-mouth examination practice, quit rate and fresh up take rate were computed to determine the effectiveness.

RESULTS

There was no loss to follow up. No significant difference was observed between the groups in pre intervention assessment regarding the knowledge, tobacco chewing and self-mouth examination practices. Knowledge score was significantly differed between the groups P = 0.000 in the post intervention assessment as well as among females P = 0.001. Quit rate of the tobacco chewing practice, betel chewing practice and CPTAP chewing practice among intervention group was 33%, 70%, and 13% respectively while control group did not have any quitters, P = 0.001. Fresh up take rate of tobacco chewing in the intervention group was 6.7% compared to the 37.5% in the control group, P = 0.001. Practicing self-mouth examination was significantly higher in intervention group in post intervention assessment, P = 0.000.

CONCLUSION

Multicomponent health promotion intervention (Advocacy, Interactive discussions, IEC materials and Community mobilization) was significantly effective in enhancing the knowledge, increasing self-mouth examination practice, and reducing tobacco chewing practice among a vulnerable group of youth in Sri Lanka.

Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017

Adolescents are particularly vulnerable to tobacco initiation and escalation. Identifying factors associated with adolescent tobacco susceptibility and use can guide tobacco prevention efforts. Novel machine learning (ML) approaches efficiently identify interactive relations among factors of tobacco risks and identify high-risk subpopulations that may benefit from targeted prevention interventions. Nationally representative cross-sectional 2013-2017 Global Youth Tobacco Survey (GYTS) data from 97 countries (28 high-income and 69 low-and middle-income countries) from 342,481 adolescents aged 13-15 years (weighted N = 52,817,455) were analyzed using ML regression tree models, accounting for sampling weights. Predictors included demographics (sex, age), geography (region, country-income), and self-reported exposure to tobacco marketing, secondhand smoke, and tobacco control policies. 11.9% (95% CI 11.1%-12.6%) of tobacco-naïve adolescents were susceptible to tobacco use and 11.7% (11.0%-12.5%) of adolescents reported using any tobacco product (cigarettes, other smoked tobacco, smokeless tobacco) in the past 30 days. Regression tree models found that exposure or receptivity to tobacco industry promotions and secondhand smoke exposure predicted increased risks of susceptibility and use, while support for smoke-free air policies predicted decreased risks of tobacco susceptibility and use. Anti-tobacco school education and health warning messages on product packs predicted susceptibility or use, but their protective effects were not evident across all adolescent subgroups. Sex, region, and country-income moderated the effects of tobacco promotion and control factors on susceptibility or use, showing higher rates of susceptibility and use in males and high-income countries, Africa and the Americas (susceptibility), and Europe and Southeast Asia (use). Tobacco policy-related factors robustly predicted both tobacco susceptibility and use in global adolescents, and interacted with adolescent characteristics and other environments in complex ways that stratified adolescents based on their tobacco risk. These findings emphasize the importance of efficient ML modeling of interactions in tobacco risk prediction and suggest a role for targeted prevention strategies for high-risk adolescents.