Patterns of Smoking Among Adolescents in Malaysia and Thailand: Findings From the International Tobacco Control Southeast Asia Survey

At present, 70% of the world's 1.1 billion smokers are in developing countries, with over 50% in Asia alone. The current study examined patterns of youth smoking in Thailand and Malaysia. Respondents were 2002 youths between the ages of 13 and 17 from Thailand (n = 1000) and Malaysia (n = 1002). Respondents were selected using a multistage cluster sampling design and surveyed between January 2005 and March 2005. Approximately 3% of youth between the ages of 13 and 17 were current smokers, with an additional 10% to 12% reporting experimental smoking. Males were between 7 and 15 times more likely to report smoking behavior than females. Less than 1% of females respondents in either country met the criteria for current smoking, and less than 5% met the criteria for experimental smoking. In contrast, more than 50% Thai males and approximately one-third of Malaysian males aged 17 met the criteria for either experimental or current smoking.

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State youth-access tobacco control policies and youth smoking behavior in the United States

American Journal of Preventive Medicine ◽

10.1016/s0749-3797(00)00196-3 ◽

2000 ◽

Vol 19 (3) ◽

pp. 180-187 ◽

Cited By ~ 33

Author(s):

D Luke

Keyword(s):

United States ◽

Tobacco Control ◽

Smoking Behavior ◽

The United States ◽

Youth Smoking ◽

Control Policies ◽

Tobacco Control Policies

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934Prevalence by proxy: Estimating youth smoking prevalence using nationally representative household surveys

International Journal of Epidemiology ◽

10.1093/ije/dyab168.061 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

Eden Barrett ◽

Alexandra Marmor ◽

Raglan Maddox ◽

Joanne Thandrayen ◽

Fiona Johnson ◽

...

Keyword(s):

Tobacco Control ◽

Smoking Prevalence ◽

Smoking Behaviour ◽

Self Report ◽

Youth Smoking ◽

Youth Self Report ◽

Current Smoking ◽

Nationally Representative ◽

National Prevalence ◽

Behaviour Data

Abstract Background Reducing youth (15-17 years) smoking uptake is critical to tobacco control; accordingly, youth smoking prevalence is a key monitoring and evaluation outcome. Many nationally representative surveys collect youth smoking behaviour data from, or in the presence of, the youth’s parent or caregiver. We aimed to quantify the potential bias conferred by this. Methods We compared youth smoking prevalence when reported by parent proxy, with parent present or by private self-report, in Australian Bureau of Statistics Health Surveys. National youth current smoking prevalence if all data were collected by youth self-report was estimated. Results Smoking behaviour data for over 75% of youth participants in the health survey were collected by proxy or with parent present. Ever-smoking prevalence using private self-report versus report by proxy was 1.29 (95%CI:0.96-1.73) to 1.99 (1.39-2.85) times as high in Aboriginal and Torres Strait Islander youth, and 1.83 (0.92-2.63) to 2.72 (1.68-4.41) times as high in total population youth. Predicted national current smoking prevalence if all youth were to self-report alone was substantively higher than the estimated national prevalence based on actual responses, but still reveals a decline over time. Conclusions Youth smoking estimates drawn from data collected by proxy/with parent present are unlikely to be accurate. Increased youth self-report is crucial to ensure data accuracy to inform effective tobacco control. Key messages The accuracy of youth smoking data collected by proxy/with parent present should be further scrutinised before it is used to inform assessment of national prevalence and trends.

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The Influence and Interaction of Tobacco-Related Information Exposure on Youth Smoking Behavior and Smoking Susceptibility: Sex and School Type Difference

10.20944/preprints201905.0288.v1 ◽

2019 ◽

Author(s):

Jingfen Zhu ◽

Jiahui Li ◽

Yaping He ◽

Na Li ◽

Gang Xu ◽

...

Keyword(s):

Tobacco Control ◽

School Type ◽

Exposure Level ◽

Youth Smoking ◽

Current Smoking ◽

Control Information ◽

Control Message ◽

Never Smokers ◽

And Control ◽

Smoking Susceptibility

This study investigated the influence and interaction of tobacco promotional and control information with adolescents’ current smoking and smoking susceptibility. 12,278 students were recruited from junior, senior and vocational high schools located in Shanghai, China. The exposure to tobacco promotional and control message of participants over the past 30 days were examined, as well as current smoking and never smokers’ initiation susceptibility. Complex sample analysis was applied. Descriptive and multivariate logistic regressions were conducted. 89.3% and 91.5% of adolescents investigated were exposed to tobacco promotional and control message respectively, which separately increased and decreased the risk of current smoking and never-smokers’ smoking susceptibility, especially among males and junior high school students. The risk changed in consistency with the exposure level（Ptrend < 0.001）. Tobacco control message seemed to mitigate the influence of tobacco promotions in the risk of both current smoking (OR = 0.64, 95%CI: 0.41–0.99) and smoking susceptibility (OR = 0.65, 95%CI: 0.46–0.93). Tobacco-related message exposure was highly prevalent and associated with youth smoking risk and smoking susceptibility. It is important to enhance the comprehensiveness and enforcement of promotion bans. Given the improvement of tobacco control message on smoking risk brought by tobacco promotions, the publicity and dissemination of tobacco control information need to be consistently strengthened.

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The Association Between School Tobacco Control Policies and Youth Smoking Behavior

International Journal of Behavioral Medicine ◽

10.1007/s12529-019-09825-z ◽

2019 ◽

Vol 26 (6) ◽

pp. 658-664

Author(s):

Jayani Jayawardhana ◽

Haley E. Bolton ◽

Monica Gaughan

Keyword(s):

Tobacco Control ◽

Smoking Behavior ◽

Youth Smoking ◽

Control Policies ◽

Tobacco Control Policies

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The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis

10.21203/rs.3.rs-126606/v1 ◽

2021 ◽

Author(s):

Xinlin Chen ◽

Xuefei Gu ◽

Tingting Li ◽

Lirong Xu ◽

Qiaoyan Liu ◽

...

Keyword(s):

Logistic Regression ◽

Health Literacy ◽

Tobacco Control ◽

Influencing Factors ◽

Smoking Status ◽

Smoking Behavior ◽

Cross Sectional ◽

Current Smoking ◽

Work Related ◽

Tobacco Control Policies

Abstract Background：Online ride-hailing is a fast-developing new travel mode, and tobacco control policies on it have not yet been improved. This study aims to reveal the smoking status and influencing factors of ride-hailing drivers, so as to provide a basis for the formulation of tobacco control policies.Methods：The cross-sectional data used in this study were derived from an online survey of full-time ride-hailing drivers in China. Questionnaires were employed to collect variables including sociodemographic and work-related characteristics, health status, health behavior, health literacy, and smoking status. Chi-Square test and multivariate logistic regression were used to analyze the influencing factors of current smoking.Results：A total of 8990 ride-hailing drivers were investigated, in which 5024 were current smokers, accounted to 55.9%. Current smokers (53.7% (2696/5024) v 44.2% (1752/3966); P<0.001) and drivers who smoked on the car (85.8% (1389/1618) v 38.4 (1307/3406); P<0.001) were more likely to allow passengers to smoke. Logistic regression analysis showed that men (OR=0.519, 95%CI (0.416, 0.647)), central regions (OR=1.172, 95%CI (1.049, 1.309)), eastern regions (OR=1.330, 95%CI (1.194, 1.480)), working at both daytime and night (OR=1.287, 95%CI (1.164, 1.424)), and working at non-fixed time (OR=0.847, 95%CI (0.718, 0.999)), 35-54 years old (OR=0.585, 95%CI (0.408, 0.829)), current drinker (OR=1.663, 95%CI (1.526, 1.813)), eating very irregularly (OR=1.370, 95%CI (1.233, 1.523)), the number of days a week of engaging in at least 10 minutes of moderate or vigorous exercise ≥ 3 (OR=0.752, 95%CI (0.646, 0.875)), taking the initiative to acquire health knowledge occasionally (OR=0.882, 95%CI (0.783, 0.992)) or frequently (OR=0.675, 95%CI (0.591, 0.770)) , underweight (OR=1.249, 95%CI (1.001, 1.559)) and overweight (OR=0.846, 95%CI (0.775, 0.924)) were associated with the prevalence of current smoking among online ride-hailing drivers (P<0.05). Conclusions：The smoking rate of ride-hailing drivers was high, and the social demographic and work-related characteristics, and health-related factors all affected their smoking behavior. Tobacco control measures targeted at online-hailing drivers should correct their cultural beliefs about smoking, increase their health literacy, guide them to exercise more and keep a regular schedule, as well as combine with drinking intervention and weight intervention.

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Community Smoking Behavior in Changqiao, Shanghai

Asia Pacific Journal of Public Health ◽

10.1177/1010539507311182 ◽

2008 ◽

Vol 20 (2) ◽

pp. 94-101 ◽

Cited By ~ 10

Author(s):

Pinpin Zheng ◽

Yingying Fu ◽

Yimin Lu ◽

Ming Ji ◽

Melbourne F. Hovell ◽

...

Keyword(s):

Tobacco Use ◽

Secondhand Smoke ◽

Sampling Design ◽

Local Community ◽

Smoking Behavior ◽

Smoke Exposure ◽

Secondhand Smoke Exposure ◽

Current Smoking ◽

The Past ◽

Smoking Behaviors

China has observed increasing tobacco use in the past decade. Only a few studies describing smoking behavior were reported at the community level in China. The present research aimed to obtain baseline data on tobacco use and factors that influence smoking behaviors in a local community in Shanghai, China. A total of 2100 residents in Changqiao, Shanghai, between ages 13 and 84 years were surveyed using a multistage proportional random sampling design. On the basis of that, a subsampling was conducted, and 1500 residents were randomly selected to avoid a cluster effect. There were 28.3% ever smokers (53.3% for men and 2.3% for women) and 23.5% current smokers (44.2% for men and 1.9% for women). Men ages 40 to 49 years smoked the most (more than 17 cigarettes per day on average). Age, education, and marital status were significant predictors of current smoking among men. Only 13.4% of current smokers were willing to quit. The prevalence of secondhand smoke exposure was 30.4% among nonsmokers. Smoking and secondhand smoking are serious problems in Changqiao, Shanghai. Comprehensive and intensive interventions should be implemented to motivate quitting and reduce secondhand smoke exposure.

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