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Changes in Cigarette Smoking Behavior Among US Young Workers From 2005 to 2010: The Role of Occupation

Overview of attention for article published in Nicotine & Tobacco Research, October 2015
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Article details
Title
Changes in Cigarette Smoking Behavior Among US Young Workers From 2005 to 2010: The Role of Occupation
Published in
Nicotine & Tobacco Research, October 2015
DOI 10.1093/ntr/ntv240
Pubmed ID
Authors
Abstract

Young adult workers (18-24 years) in the US have been identified as a high-risk group for smoking. This study compares changes in smoking behavior by occupational class among this group between 2005 and 2010. Data were pooled from the Tobacco Supplement in the 2005 and 2010 National Health Interview Survey. All respondents 18-24 years who reported that they were employed during the two surveys were selected (n=1,880 in 2005; and n=1,531 in 2010). Weighted percentages and 95% confidence interval were reported. Logistic regression analyses were performed to compare smoking behavior between occupational groups (white-collar, blue-collar, and service) and between years (2005-2010), and to examine correlates of smoking, successful quit attempt, and heavy smoking. Smoking prevalence and daily smoking declined in 2010 in white-collar. Smoking prevalence and intensity decreased while age of smoking initiation increased in blue-collar workers. Young workers were more likely to smoke in 2005 than 2010. Service and blue-collar workers were more likely to smoke than white-collar workers. Older young adults, Whites, individuals with a high school/or less education, those without health insurance were more likely to smoke. White workers and individuals with a high school/or less education were more likely to be heavy smokers. White-collar workers have benefited the most from tobacco control efforts. Although improvements were seen in smoking behavior among blue-collar workers, smoking prevalence remained the highest in this group. Smoking behavior among service workers did not change. Young service workers and blue-collar are priority populations for workplace tobacco control efforts.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 6 14%
Researcher 6 14%
Other 5 12%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Other 5 12%
Unknown 13 30%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Nursing and Health Professions 5 12%
Psychology 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Social Sciences 2 5%
Other 5 12%
Unknown 19 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 May 2016.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from Nicotine & Tobacco Research
#2,623
of 3,080 outputs
Outputs of similar age
#166,700
of 284,409 outputs
Outputs of similar age from Nicotine & Tobacco Research
#34
of 52 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,080 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 9th percentile – i.e., 9% 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 284,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.