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A study on the effectiveness of warning labels on tobacco products

12 December 2016 16:47

12/08/2016 17:20

Inscriptions on tobacco productsSmoking is a cause of disease, including deaths. Since 1966, there is a requirement for warning labels on the packages of smoking risks. 15 percent of adults in the US smoke cigarettes. How to change the warning labels to encourage smokers to quit smoking?

A new study conducted by scientists from the tobacco center (TCORS) Annenberg School of Communication, found that warning labels with pictures of real smokers who suffer from addiction, are more effective than plain text labels.

77 countries use the image as a warning label. In 2011, the Office of the Food and Drug Administration of the USA has prepared a series of graphic warning labels for use on tobacco products. However, the use of these labels rejected. They were depicted smokers and affected parts of the body.

To support the campaign, in the course of the study, which is published in Nicotine Tobacco Research tested the image that clearly shows the real people affected by smoking.

In the course of the project looked at adult smokers labels that picture of a real person, who suffered as a result of smoking, with a brief description of its history, previous health warnings and warnings of the Office in the form of text, currently in use in the United States.

Participants were asked about the intention to quit smoking. Five weeks later, the researchers examined whether smokers have tried to quit addiction and how successfully.

Scientists have found that warning labels containing images, were the most effective.

Among smokers who considered only the text labels, 7.4% have tried to quit smoking in the next five weeks. Among those who have seen the pictures of real smokers, the figure was 15.4%.

Pictures of the real suffering of people in the real world have increased the likelihood that people will quit the senior author Joseph N. Cappella, suggesting that people are more interested in the facts, as they are full of emotions of real life.

The research team hopes that these projects will lead to a more effective warning labels.



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