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The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers

Overview of attention for article published in Tobacco Induced Diseases, July 2017
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
Published in
Tobacco Induced Diseases, July 2017
DOI 10.1186/s12971-017-0133-z
Pubmed ID
Authors

Naif H. Alanazi, Jerry W. Lee, Hildemar Dos Santos, Jayakaran S. Job, Khaled Bahjri

Abstract

Waterpipe and cigarette smoking have been found to be associated with each other as cigarette smokers were more likely to be waterpipe users than non-cigarette smokers. Also, waterpipe smokers were likely to be former daily cigarette users. The aim of this study is to examine the likelihood of waterpipe use leading to cigarette use among current waterpipe users using theory of planned behavior. Four hundred six current waterpipe smokers who initially had started tobacco use with the waterpipe were recruited from 15 waterpipe lounges in 2015. From a total of 70 waterpipe lounges in Riyadh, the 15 waterpipe lounges were selected randomly and participants were also selected randomly inside each waterpipe lounge based on the table or section number. The survey was developed using the Qualtrics Online Survey Software and participants completed a survey using iPad tablets. Cigarette smoking and intention to smoke cigarettes were predicted by attitude and perceived behavioral control. There was no direct effect of subjective norm on the cigarette use behavior, yet subjective norm had a statistically significant indirect effect on intentions through attitude and perceived behavioral control. The findings of this study could be useful in prevention/intervention programs aimed at reducing tobacco smoking behaviors among waterpipe users. Intervention programs might be directed at the attitude and perceived behavioral control by targeting underlying behavioral and control beliefs. The theory of planned behavior provided solid explanations of intention to use cigarettes among waterpipe smokers.

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X Demographics

The data shown below were collected from the profiles of 3 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Bachelor 9 9%
Student > Ph. D. Student 8 8%
Researcher 7 7%
Lecturer 6 6%
Other 12 12%
Unknown 34 35%
Readers by discipline Count As %
Nursing and Health Professions 19 19%
Psychology 11 11%
Medicine and Dentistry 8 8%
Business, Management and Accounting 5 5%
Social Sciences 5 5%
Other 11 11%
Unknown 39 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 July 2017.
All research outputs
#14,787,133
of 25,382,440 outputs
Outputs from Tobacco Induced Diseases
#275
of 591 outputs
Outputs of similar age
#163,500
of 326,157 outputs
Outputs of similar age from Tobacco Induced Diseases
#3
of 8 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 591 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 51% 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 326,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.