scholarly journals The impact of the 2009/2010 enhancement of cigarette health warning labels in Uruguay: longitudinal findings from the International Tobacco Control (ITC) Uruguay Survey

2014 ◽  
pp. tobaccocontrol-2014-051742 ◽  
Author(s):  
Shannon Gravely ◽  
Geoffrey T Fong ◽  
Pete Driezen ◽  
Mary McNally ◽  
James F Thrasher ◽  
...  
2021 ◽  
Vol 14 ◽  
pp. 1179173X2110642
Author(s):  
Christopher M. Seitz ◽  
Kenneth D. Ward ◽  
Zubair Kabir

Background The World Health Organization’s (WHO) Framework Convention on Tobacco Control (FCTC) Health Warnings Database is an online, publicly available resource created for countries to upload and share pictorial health warnings for tobacco packaging. The purpose of this study was to evaluate the extent to which the database is used by countries for the sharing of pictorial warnings. Methods The study’s sample included parties to the FCTC who required graphic health warning labels on cigarette packaging from. Those countries were categorized as having a low, middle, and high Socio-Demographic Index (SDI). The Health Warnings Database was then analyzed for those countries’ unique pictorial images, as well as the number of pictorials that were shared between countries. Results Of the 110 countries that required pictorial warnings on cigarette packaging, only 53 (48%) voluntarily contributed pictorials to the database, with most of those (53%) being high SDI-level countries. There were 342 unique pictorials on the database, with 62 images posted by seven countries that were used by 13 other countries. Conclusion While sharing was evident from the database, there remains a need for more countries to upload the pictorials to the database. There is also a need to expand the database to include alternative tobacco products, such as waterpipe tobacco and e-cigarettes.


Addiction ◽  
2019 ◽  
Vol 114 (S1) ◽  
pp. 134-143 ◽  
Author(s):  
Máirtín S. McDermott ◽  
Grace Li ◽  
Ann McNeill ◽  
David Hammond ◽  
James F. Thrasher ◽  
...  

2017 ◽  
Vol 19 (10) ◽  
pp. 1172-1177 ◽  
Author(s):  
Elizabeth G Klein ◽  
Amanda J Quisenberry ◽  
Abigail B Shoben ◽  
Sarah Cooper ◽  
Amy K Ferketich ◽  
...  

2020 ◽  
Author(s):  
Natasha Clarke ◽  
Anna Katherine Mary Blackwell ◽  
Katie De-loyde ◽  
Emily Pechey ◽  
Alice Hobson ◽  
...  

Background and aims Health warning labels (HWLs) on tobacco products reduce smoking. There is an absence of evidence concerning the impact of alcohol HWLs on selection or purchasing in naturalistic settings. Using a commercial-standard naturalistic shopping laboratory, this study aimed to estimate the impact on selection of alcoholic drinks of HWLs describing adverse health consequences of excessive alcohol consumption.DesignA between-subjects randomised experiment with three groups: Group 1: image-and-text HWL; Group 2: text-only HWL; Group 3: no HWL.SettingA commercial-standard naturalistic shopping laboratory. Participants Adults (n=399) over the age of 18, who purchased beer or wine weekly to drink at home. InterventionsParticipants were randomised to one of three groups varying in the HWL displayed on the packaging of the alcoholic drinks: i. image-and-text HWL; ii. text-only HWL; iii. no HWL. Participants completed a shopping task, selecting items from a range of alcoholic and non-alcoholic drinks, and snacks. MeasurementThe primary outcome was the proportion of alcoholic drinks selected. Secondary outcomes included HWL ratings on negative emotional arousal and label acceptability.FindingsThere was no clear evidence of a difference in the HWL groups for the percentage of drinks selected that were alcoholic compared to no HWL (44%): image-and-text HWL: 46% (OR=1.08, 95%CI=0.82,1.42); text-only HWL: 41% (OR=0.87, 95%CI=0.67,1.14). Concordant with there being no difference between groups, there was extreme evidence in favour of the null hypothesis (Bayes factor [BF] < 0.01). Negative emotional arousal was higher (p< 0.001) and acceptability lower (p< 0.001) in the image-and-text HWL group, compared to the text-only HWL group. ConclusionsIn a naturalistic shopping laboratory, health warning labels describing the adverse health consequences of excessive alcohol consumption did not change selection behaviour.


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Carlos Sillero-Rejon ◽  
Angela S. Attwood ◽  
Anna K. M. Blackwell ◽  
José-Angel Ibáñez-Zapata ◽  
Marcus R. Munafò ◽  
...  

2016 ◽  
Vol 11 (2) ◽  
pp. 124-134 ◽  
Author(s):  
Lin Li ◽  
Ahmed I. Fathelrahman ◽  
Ron Borland ◽  
Maizurah Omar ◽  
Geoffrey T. Fong ◽  
...  

Malaysia introduced graphic health warning labels (GHWLs) on all tobacco packages in 2009. We aimed to examine if implementing GHWLs led to stronger warning reactions (e.g., thinking about the health risks of smoking) and an increase in subsequent quitting activities; and to examine how reactions changed over time since the implementation of the GHWLs in Malaysia and Thailand where GHWL size increased from 50–55% in 2010. Data came from six waves (2005–2014) of the International Tobacco Control Southeast Asia Survey. Between 3,706 and 4,422 smokers were interviewed across these two countries at each survey wave. Measures included salience of warnings, cognitive responses (i.e., thinking about the health risks and being more likely to quit smoking), forgoing cigarettes, and avoiding warnings. The main outcome was subsequent quit attempts. Following the implementation of GHWLs in Malaysia, reactions increased, in some cases to levels similar to the larger Thai warnings, but declined over time. In Thailand, reactions increased following implementation, with no decline for several years, and no clear effect of the small increase in warning size. Reactions, mainly cognitive responses, were consistently predictive of quit attempts in Thailand, but this was only consistently so in Malaysia after the change to GHWLs. In conclusion, GHWLs are responded to more frequently, and generate more quit attempts, but warning wear-out is not consistent in these two countries, perhaps due to differences in other tobacco control efforts.


2015 ◽  
Vol 25 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Gera E Nagelhout ◽  
Marc C Willemsen ◽  
Hein de Vries ◽  
Ute Mons ◽  
Sara C Hitchman ◽  
...  

2019 ◽  
Author(s):  
Natasha Clarke ◽  
Emily Pechey ◽  
Daina Kosīte ◽  
Laura M König ◽  
Eleni Mantzari ◽  
...  

Reducing harmful consumption of food (including non-alcoholic drinks) and alcoholic drinks would prevent much disease. Evidence from tobacco control shows that placing health warning labels (HWLs) on these products reduces their selection and consumption. A systematic review with meta-analysis was conducted using Cochrane methods to assess the impact on selection (including hypothetical selection) or consumption of food or alcoholic drinks with image-and-text (sometimes termed ‘pictorial’) and text-only HWLs placed on these products. Studies were required to be randomised or quasi-randomised controlled trials. Fourteen studies were included, three on alcohol, eleven on food. For our primary outcomes, eleven studies measured selection and one measured consumption (two measured only other secondary outcomes). Meta-analysis of twelve comparisons from nine studies (n=12,635) found HWLs reduced selection of the targeted product compared to a control group with no HWL (RR=0.74 (95% CI 0.68 to 0.80)), with participants 26% less likely to choose a product displaying a HWL. A planned subgroup analysis suggested a larger effect on selection of image-and-text HWLs (RR=0.65 (95% CI 0.54 to 0.80)) than text-only HWLs (RR=0.79 (95% CI 0.74 to 0.85)), but this difference was not statistically significant. These findings suggest significant potential for HWLs to reduce selection of food and alcohol, but all experimental studies to date were conducted in laboratory or online settings with outcomes assessed immediately after a single exposure. Studies in field and more naturalistic laboratory settings are urgently needed to estimate the potential effects of HWLs on food and alcohol.


Appetite ◽  
2020 ◽  
Vol 145 ◽  
pp. 104484 ◽  
Author(s):  
Eleni Mantzari ◽  
Rachel Pechey ◽  
Saphsa Codling ◽  
Olivia Sexton ◽  
Gareth J. Hollands ◽  
...  

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