Smoking behaviours and attitudes towards campus-wide tobacco control policies among staff and students: a cross-sectional survey at the University of Birmingham

Public support is crucial for advancing tobacco control policies. We investigated adolescent support for such policies, and its association with potential factors of social denormalization (SD) beliefs of smoking, tobacco industry denormalization (TID) beliefs (negative perceptions of the industry), and harm perceptions of smoking. In a cross-sectional survey in Hong Kong, 13,964 secondary school students (mean age 15.0 years, 51.3% boys) reported their support (yes/no) for each of 14 tobacco control policies (e.g., further increase tobacco tax). Tobacco-related beliefs and perceptions, and smoking status were also measured. Support for the 14 tobacco control policies ranged from 17.6% to 54.1%. In current non-smokers, SD beliefs, TID beliefs, and harm perceptions were all associated with support for all tobacco control policies. In current smokers, the study factors were each associated with support for two to three policies. To conclude, support for tobacco control policies was weak to moderate in Hong Kong adolescents. SD beliefs, TID beliefs, and harm perceptions of smoking were associated with policy support in current non-smokers. In current smokers, the corresponding associations were less consistent or weaker.

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Tool to monitor tobacco control policy implementation: the Tobacco Control Scale in Latin America. Adaptation process and pilot study

Tobacco Control ◽

10.1136/tobaccocontrol-2020-056395 ◽

2021 ◽

pp. tobaccocontrol-2020-056395

Author(s):

Ariadna Feliu ◽

Cristina Martinez ◽

Armando Peruga ◽

Luk Joossens ◽

Eduardo Bianco ◽

...

Keyword(s):

Latin America ◽

Policy Implementation ◽

Tobacco Control ◽

Control Policy ◽

Tobacco Control Policy ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Control Scale ◽

Control Policies ◽

Tobacco Control Policies

BackgroundMonitoring tobacco control policy implementation is one of the keys for tobacco consumption reduction in Latin America (LA). This study reports on the adaptation of the Tobacco Control Scale (TCS) for use in LA countries and the level of tobacco control policy implementation in this region according to the scale.MethodsEcological cross-sectional survey. The questionnaire to measure tobacco control policies was a translated (into Spanish and Portuguese) and adapted version of the last TCS as used in Europe. The resulting TCS-LA maintains the same structure as the original TCS, with eight policy domains and 100 points (pts) as maximum score; however, four policy domains were adapted because the exact same rationale could not be applied. At least two non-governmental tobacco control experts were contacted per country to answer the TCS-LA.ResultsInformants from 17 out of 18 countries completed the questionnaire. Using the TCS-LA, Panama (70 pts), Uruguay (68 pts) and Ecuador (61 pts) exhibited the strongest tobacco control policies, while Guatemala (32 pts), Bolivia (30 pts) and Dominican Republic (29 pts) have implemented a lower number of tobacco control policies. Eight countries reached 50% of the TCS-LA total possible score, indicating a relatively good implementation level of tobacco control policies.ConclusionsPanama, Uruguay and Ecuador are the tobacco control policy leaders in LA; however, tobacco control in the region has room for improvement since nine countries have a total score under 50 pts. The TCS is a feasible and adaptable tool to monitor tobacco control in other WHO regions beyond Europe.

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Factors influencing smoking behaviour of online ride-hailing drivers in China: a cross-sectional analysis

BMC Public Health ◽

10.1186/s12889-021-11366-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xinlin Chen ◽

Xuefei Gu ◽

Tingting Li ◽

Qiaoyan Liu ◽

Lirong Xu ◽

...

Keyword(s):

Logistic Regression ◽

Tobacco Control ◽

Influencing Factors ◽

Smoking Behaviour ◽

Full Time ◽

Cross Sectional ◽

Control Policies ◽

Current Smoking ◽

Work Related ◽

Tobacco Control Policies

Abstract Background Online ride-hailing is a fast-developing new travel mode. However, tobacco control policies on its drivers remain underdeveloped. This study aims to reveal the status and determine the influencing factors of ride-hailing drivers’ smoking behaviour to provide a basis for the formulation of tobacco control policies. Methods We derived our cross-sectional data from an online survey of full-time ride-hailing drivers in China. We used a survey questionnaire to collect variables, including sociodemographic and work-related characteristics, health status, health behaviour, health literacy and smoking status. Finally, we analysed the influencing factors of current smoking by conducting chi-square test and multivariate logistic regression. Results A total of 8990 ride-hailing drivers have participated in the survey, in which 5024 were current smokers, accounting to 55.9%. Nearly one-third of smokers smoked in their cars (32.2%). The logistic regression analysis results were as follows: male drivers (OR = 0.519, 95% CI [0.416, 0.647]), central regions (OR = 1.172, 95% CI [1.049, 1.309]) and 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 non-fixed time (OR = 0.847, 95% CI [0.718, 0.999]), ages of 35–54 years (OR = 0.585, 95% CI [0.408, 0.829]), current drinker (OR = 1.663, 95% CI [1.526, 1.813]), irregular eating habits (OR = 1.370, 95% CI [1.233, 1.523]), the number of days in a week of engaging in at least 10 min 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]) and underweight (OR = 1.249, 95% CI [1.001, 1.559]) and overweight (OR = 0.846, 95% CI [0.775, 0.924]) have association with the prevalence of current smoking amongst online ride-hailing drivers. Conclusion The smoking rate of ride-hailing drivers was high. Sociodemographic and work-related characteristics and health-related factors affected their smoking behaviour. Psychological and behavioural interventions can promote smoking control management and encourage drivers to quit or limit smoking. Online car-hailing companies can also establish a complaint mechanism combined with personal credit.

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