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The role of theory-driven graphic warning labels in motivation to quit: a qualitative study on perceptions from low-income, urban smokers

Overview of attention for article published in BMC Public Health, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 blog
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8 X users
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2 Facebook pages

Citations

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30 Dimensions

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99 Mendeley
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Title
The role of theory-driven graphic warning labels in motivation to quit: a qualitative study on perceptions from low-income, urban smokers
Published in
BMC Public Health, February 2015
DOI 10.1186/s12889-015-1438-6
Pubmed ID
Authors

Erin L Mead, Joanna E Cohen, Caitlin E Kennedy, Joseph Gallo, Carl A Latkin

Abstract

Use of communication theories in the development of pictorial health warning labels (graphic warning labels) for cigarette packaging might enhance labels' impact on motivation to quit, but research has been limited, particularly among low socioeconomic status (SES) populations in the U.S. This qualitative study explored perceptions of theory-based graphic warning labels and their role in motivation to quit among low-income smokers. A cross-sectional qualitative study was conducted with 25 low-income adult smokers in Baltimore, Maryland, who were purposively sampled from a community-based source population. Semi-structured, in-depth interviews were conducted from January to February 2014. Participants were asked about the motivational impact of 12 labels falling into four content categories: negative depictions of the health effects of smoking to smokers and others, and positive depictions of the benefits of quitting to smokers and others. Data were coded using a combined inductive/deductive approach and analyzed thematically through framework analysis. Labels depicting negative health effects to smokers were identified as most motivational, followed by labels depicting negative health effects to others. Reasons included perceived severity of and susceptibility to the effects, negative emotional reactions (such as fear), and concern for children. Labels about the benefits of quitting were described as motivational because of their hopefulness, characters as role models, and desire to improve family health. Reasons why labels were described as not motivational included lack of impact on perceived severity/susceptibility, low credibility, and fatalistic attitudes regarding the inevitability of disease. Labels designed to increase risk perceptions from smoking might be significant sources of motivation for low SES smokers. Findings suggest innovative theory-driven approaches for the design of labels, such as using former smokers as role models, contrasting healthy and unhealthy characters, and socially-oriented labels, might motivate low SES smokers to quit.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Switzerland 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Master 16 16%
Student > Ph. D. Student 10 10%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 16 16%
Unknown 24 24%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Social Sciences 18 18%
Psychology 14 14%
Nursing and Health Professions 8 8%
Business, Management and Accounting 5 5%
Other 10 10%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 March 2017.
All research outputs
#2,807,878
of 24,330,936 outputs
Outputs from BMC Public Health
#3,202
of 16,055 outputs
Outputs of similar age
#39,887
of 361,186 outputs
Outputs of similar age from BMC Public Health
#55
of 221 outputs
Altmetric has tracked 24,330,936 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 80% of its peers.
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 361,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.