Tobacco control environment: cross-sectional survey of policy implementation, social unacceptability, knowledge of tobacco health harms and relationship to quit ratio in 17 low-income, middle-income and high-income countries

Clara K Chow, Daniel J Corsi, Anna B Gilmore, Annamarie Kruger, Ehimario Igumbor, Jephat Chifamba, Wang Yang, Li Wei, Romaina Iqbal, Prem Mony, Rajeev Gupta, Krishnapillai Vijayakumar, V Mohan, Rajesh Kumar, Omar Rahman, Khalid Yusoff, Noorhassim Ismail, Katarzyna Zatonska, Yuksel Altuntas, Annika Rosengren, Ahmad Bahonar, AfzalHussein Yusufali, Gilles Dagenais, Scott Lear, Rafael Diaz, Alvaro Avezum, Patricio Lopez-Jaramillo, Fernando Lanas, Sumathy Rangarajan, Koon Teo, Martin McKee, Salim Yusuf, Clara K Chow, Daniel J Corsi, Anna B Gilmore, Annamarie Kruger, Ehimario Igumbor, Jephat Chifamba, Wang Yang, Li Wei, Romaina Iqbal, Prem Mony, Rajeev Gupta, Krishnapillai Vijayakumar, V Mohan, Rajesh Kumar, Omar Rahman, Khalid Yusoff, Noorhassim Ismail, Katarzyna Zatonska, Yuksel Altuntas, Annika Rosengren, Ahmad Bahonar, AfzalHussein Yusufali, Gilles Dagenais, Scott Lear, Rafael Diaz, Alvaro Avezum, Patricio Lopez-Jaramillo, Fernando Lanas, Sumathy Rangarajan, Koon Teo, Martin McKee, Salim Yusuf

Abstract

Objectives: This study examines in a cross-sectional study 'the tobacco control environment' including tobacco policy implementation and its association with quit ratio.

Setting: 545 communities from 17 high-income, upper-middle, low-middle and low-income countries (HIC, UMIC, LMIC, LIC) involved in the Environmental Profile of a Community's Health (EPOCH) study from 2009 to 2014.

Participants: Community audits and surveys of adults (35-70 years, n=12 953).

Primary and secondary outcome measures: Summary scores of tobacco policy implementation (cost and availability of cigarettes, tobacco advertising, antismoking signage), social unacceptability and knowledge were associated with quit ratios (former vs ever smokers) using multilevel logistic regression models.

Results: Average tobacco control policy score was greater in communities from HIC. Overall 56.1% (306/545) of communities had >2 outlets selling cigarettes and in 28.6% (154/539) there was access to cheap cigarettes (<5cents/cigarette) (3.2% (3/93) in HIC, 0% UMIC, 52.6% (90/171) LMIC and 40.4% (61/151) in LIC). Effective bans (no tobacco advertisements) were in 63.0% (341/541) of communities (81.7% HIC, 52.8% UMIC, 65.1% LMIC and 57.6% LIC). In 70.4% (379/538) of communities, >80% of participants disapproved youth smoking (95.7% HIC, 57.6% UMIC, 76.3% LMIC and 58.9% LIC). The average knowledge score was >80% in 48.4% of communities (94.6% HIC, 53.6% UMIC, 31.8% LMIC and 35.1% LIC). Summary scores of policy implementation, social unacceptability and knowledge were positively and significantly associated with quit ratio and the associations varied by gender, for example, communities in the highest quintile of the combined scores had 5.0 times the quit ratio in men (Odds ratio (OR) 5·0, 95% CI 3.4 to 7.4) and 4.1 times the quit ratio in women (OR 4.1, 95% CI 2.4 to 7.1).

Conclusions: This study suggests that more focus is needed on ensuring the tobacco control policy is actually implemented, particularly in LMICs. The gender-related differences in associations of policy, social unacceptability and knowledge suggest that different strategies to promoting quitting may need to be implemented in men compared to women.

Keywords: Knowledge of tobacco harms; Social unacceptability; Tobacco control policy; Tobacco environment.

Conflict of interest statement

Competing interests: None declared.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Figures

Figure 1
Figure 1
Distribution of community-level tobacco scores for tobacco policy implementation, social unacceptability and knowledge of smoking health effects by country income group.
Figure 2
Figure 2
Tobacco policy in urban and rural communities of high-income, middle-income and low-income countries.
Figure 3
Figure 3
The odds of quitting for quintiles of tobacco environment scores from multilevel logistic regression models adjusted by age and education (M=men and W=women). ORs from multilevel logistic regression models of quitting with random effects specified for communities. Models are age and education adjusted and stratified by sex with separate models fitted for each score. Sex interactions for the effect of summary scores on quitting were p

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