↓ Skip to main content

Noticing cigarette health warnings and support for new health warnings among non-smokers in China: findings from the International Tobacco Control project (ITC) China survey

Overview of attention for article published in BMC Public Health, May 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

policy
2 policy sources
twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Noticing cigarette health warnings and support for new health warnings among non-smokers in China: findings from the International Tobacco Control project (ITC) China survey
Published in
BMC Public Health, May 2017
DOI 10.1186/s12889-017-4397-2
Pubmed ID
Authors

Zejun Li, Tara Elton-Marshall, Geoffrey T. Fong, Anne Chiew Kin Quah, Guoze Feng, Yuan Jiang, Sara C. Hitchman

Abstract

Health warnings labels (HWLs) have the potential to effectively communicate the health risks of smoking to smokers and non-smokers, and encourage smokers to quit. This study sought to examine whether non-smokers in China notice the current text-only HWLs and whether they support adding more health information and including pictures on HWLs. Adult non-smokers (n = 1324) were drawn from Wave 4 (September 2011-November 2012) of the International Tobacco Control (ITC) China Survey. The proportion of non-smokers who noticed the HWLs, and supported adding more health information and pictures to the HWLs was examined. Additionally, the relation between non-smokers' demographic characteristics, including whether they had a smoking partner, their number of smoking friends, and noticing the HWLs and support for adding health information and pictures was examined. Because the HWLs changed during the survey period (April 2012), differences between non-smokers who completed the survey before and after the change were examined. 12.2% reported they noticed the HWLs often in the last month. The multivariate model, adjusting for demographics showed that respondents with a smoking partner (OR = 2.41, 95% CI 1.42-4.13, p = 0.001) noticed the HWLs more often. 64.8% of respondents agreed that the HWLs should have more information, and 80.2% supported including pictures. The multivariate model showed that non-smokers who completed the survey after the HWLs were implemented (OR = 0.63, 95% CI 0.40-0.99, p = 0.04) were less likely to support adding more health information. The multivariate model showed a significant relation between having a smoking partner and supporting pictorial HWLs (OR = 2.03, 95% CI 1.24-3.33, p = 0.005). The findings indicate that the Chinese HWLs are noticed by a minority of non-smokers and that non-smokers strongly support strengthening the Chinese warning labels with more health information and pictures. Additionally, because the HWLs are noticed more often by non-smokers with a smoking spouse/partner, HWLs could be used to communicate the dangers of smoking and secondhand smoke exposure to non-smokers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Doctoral Student 4 13%
Student > Bachelor 4 13%
Other 2 6%
Professor > Associate Professor 2 6%
Other 4 13%
Unknown 10 32%
Readers by discipline Count As %
Nursing and Health Professions 4 13%
Psychology 4 13%
Medicine and Dentistry 3 10%
Business, Management and Accounting 2 6%
Economics, Econometrics and Finance 1 3%
Other 3 10%
Unknown 14 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 August 2019.
All research outputs
#4,212,567
of 22,973,051 outputs
Outputs from BMC Public Health
#4,731
of 14,963 outputs
Outputs of similar age
#74,605
of 312,883 outputs
Outputs of similar age from BMC Public Health
#91
of 247 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 67% 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 312,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.