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Mentioned by

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3 X users

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mendeley
99 Mendeley
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1 CiteULike
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Article details
Title
What factors are important in smoking cessation and relapse in women from deprived communities? A qualitative study in Southeast England
Published in
Public Health (Elsevier), February 2016
DOI 10.1016/j.puhe.2016.01.014
Pubmed ID
Authors
Abstract

Women are relatively more susceptible to smoking-related diseases and find it more difficult to quit; however, little research exists on factors associated with smoking cessation and relapse in women. We examined attitudes towards and perceptions of factors associated with smoking cessation and relapse in women from deprived communities. Qualitative interview study. Participants included eleven women, smokers and ex-smokers, from disadvantaged communities in East Sussex, England, who had used the National Health Service (NHS) stop smoking service. Data were collected through a focus group and semi-structured interviews, and subjected to thematic analysis. Participants opined that it is more difficult for women to quit smoking than men. Women felt that postcessation weight gain was inevitable and acted as a barrier to quitting. Hormonal fluctuations during the menstrual cycle and greater levels of stress were perceived as obstacles to quitting and reasons for relapse. Conversely, the women cited effects of smoking on physical appearance, oral hygiene and guilt about exposing children to passive smoke as powerful motivators to quit; and highlighted the impact of public health campaigns that focused on these factors. Views diverged on whether quitting with someone close to you is a help or hindrance. Other themes including alcohol intake, daily routine and being in the presence of smokers emerged as situational triggers of relapse. Interventions that address women's concerns related to postcessation weight gain, hormonal fluctuations during the menstrual cycle and stress may aid with smoking cessation and reduce relapse. Public health campaigns should consider the impact of smoking on physical appearance and the effect of passive smoke on children.

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X Demographics

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 demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Portugal 1 1%
Unknown 98 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 12 12%
Student > Bachelor 9 9%
Researcher 9 9%
Student > Ph. D. Student 8 8%
Other 4 4%
Other 20 20%
Unknown 37 37%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Nursing and Health Professions 11 11%
Psychology 6 6%
Social Sciences 5 5%
Unspecified 3 3%
Other 12 12%
Unknown 41 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 April 2016.
All research outputs
#23,295,796
of 34,359,530 outputs
Outputs from Public Health (Elsevier)
#2,941
of 4,553 outputs
Outputs of similar age
#204,703
of 336,779 outputs
Outputs of similar age from Public Health (Elsevier)
#38
of 57 outputs
Altmetric has tracked 34,359,530 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,553 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 32nd percentile – i.e., 32% 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 336,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.