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Associations between e-cigarette access and smoking and drinking behaviours in teenagers

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
23 news outlets
blogs
2 blogs
policy
1 policy source
twitter
19 X users
facebook
3 Facebook pages

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
198 Mendeley
citeulike
1 CiteULike
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Title
Associations between e-cigarette access and smoking and drinking behaviours in teenagers
Published in
BMC Public Health, March 2015
DOI 10.1186/s12889-015-1618-4
Pubmed ID
Authors

Karen Hughes, Mark A Bellis, Katherine A Hardcastle, Philip McHale, Andrew Bennett, Robin Ireland, Kate Pike

Abstract

Public health concerns regarding e-cigarettes and debate on appropriate regulatory responses are focusing on the need to prevent child access to these devices. However, little is currently known about the characteristics of those young people that are accessing e-cigarettes. Using a cross-sectional survey of 14-17 year old school students in North West England (n = 16,193) we examined associations between e-cigarette access and demographics, conventional smoking behaviours, alcohol consumption, and methods of accessing cigarettes and alcohol. Access to e-cigarettes was identified through a question asking students if they had ever tried or purchased e-cigarettes. One in five participants reported having accessed e-cigarettes (19.2%). Prevalence was highest among smokers (rising to 75.8% in those smoking >5 per day), although 15.8% of teenagers that had accessed e-cigarettes had never smoked conventional cigarettes (v.13.6% being ex-smokers). E-cigarette access was independently associated with male gender, having parents/guardians that smoke and students' alcohol use. Compared with non-drinkers, teenagers that drank alcohol at least weekly and binge drank were more likely to have accessed e-cigarettes (adjusted odds ratio [AOR] 1.89, P < 0.001), with this association particularly strong among never-smokers (AOR 4.59, P < 0.001). Among drinkers, e-cigarette access was related to: drinking to get drunk, alcohol-related violence, consumption of spirits; self-purchase of alcohol from shops or supermarkets; and accessing alcohol by recruiting adult proxy purchasers outside shops. There is an urgent need for controls on the promotion and sale of e-cigarettes to children. Findings suggest that e-cigarettes are being accessed by teenagers more for experimentation than smoking cessation. Those most likely to access e-cigarettes may already be familiar with illicit methods of accessing age-restricted substances.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Indonesia 1 <1%
France 1 <1%
Mexico 1 <1%
Nigeria 1 <1%
United States 1 <1%
Unknown 191 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 17%
Researcher 29 15%
Student > Ph. D. Student 15 8%
Other 14 7%
Student > Bachelor 13 7%
Other 33 17%
Unknown 61 31%
Readers by discipline Count As %
Medicine and Dentistry 37 19%
Nursing and Health Professions 25 13%
Psychology 21 11%
Social Sciences 18 9%
Unspecified 5 3%
Other 26 13%
Unknown 66 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 219. 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 15 August 2022.
All research outputs
#164,203
of 24,273,038 outputs
Outputs from BMC Public Health
#143
of 16,001 outputs
Outputs of similar age
#1,800
of 268,865 outputs
Outputs of similar age from BMC Public Health
#2
of 274 outputs
Altmetric has tracked 24,273,038 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,001 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 particularly well, scoring higher than 99% 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 268,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.