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Evaluation of anti-smoking television advertising on tobacco control among urban community population in Chongqing, China

Overview of attention for article published in Tobacco Induced Diseases, September 2015
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Title
Evaluation of anti-smoking television advertising on tobacco control among urban community population in Chongqing, China
Published in
Tobacco Induced Diseases, September 2015
DOI 10.1186/s12971-015-0057-4
Pubmed ID
Authors

Xianglong Xu, Tao Gong, Yong Zhang, Chengbin Wu, Yao Jie Xie, Harry HX Wang, Runzhi Zhu, Wentao Li, Libin An, Yong Zhao

Abstract

China is the largest producer and consumer of tobacco in the world. Considering the constantly growing urban proportion, persuasive tobacco control measures are important in urban communities. Television, as one of the most pervasive mass media, can be used for this purpose. The anti-smoking advertisement was carried out in five different time slots per day from 15 May to 15 June in 2011 across 12 channels of Chongqing TV. A cross-sectional study was conducted in the main municipal areas of Chongqing. A questionnaire was administered in late June to 1,342 native residents aged 18-45, who were selected via street intercept survey. Respondents who recognized the advertisement (32.77 %) were more likely to know or believe that smoking cigarettes caused impotence than those who did not recognize the advertisement (26.11 %). According to 25.5 % of smokers, the anti-smoking TV advertising made them consider quitting smoking. However, females (51.7 %) were less likely to be affected by the advertisement to stop and think about quitting smoking compared to males (65.6 %) (OR = 0.517, 95 % CI [0.281-0.950]). In addition, respondents aged 26-35 years (67.4 %) were more likely to try to persuade others to quit smoking than those aged 18-25 years (36.3 %) (OR = 0.457, 95 % CI [0.215-0.974]). Furthermore, non-smokers (87.4 %) were more likely to find the advertisement relevant than smokers (74.8 %) (OR = 2.34, 95 % CI [1.19-4.61]). This study showed that this advertisement did not show significant differences on smoking-related knowledge and attitude between non-smokers who had seen the ad and those who had not. Thus, this form may not be the right tool to facilitate change in non-smokers. The ad should instead be focused on the smoking population. Gender, smoking status, and age influenced the effect of anti-smoking TV advertising on the general population in China.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Other 6 13%
Student > Bachelor 6 13%
Researcher 4 9%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 13 28%
Readers by discipline Count As %
Nursing and Health Professions 7 15%
Medicine and Dentistry 5 11%
Social Sciences 4 9%
Business, Management and Accounting 4 9%
Economics, Econometrics and Finance 3 6%
Other 8 17%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2015.
All research outputs
#14,203,052
of 22,768,097 outputs
Outputs from Tobacco Induced Diseases
#245
of 385 outputs
Outputs of similar age
#138,006
of 266,920 outputs
Outputs of similar age from Tobacco Induced Diseases
#3
of 7 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.