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Tobacco prevention policies in west-African countries and their effects on smoking prevalence

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

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 X users
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1 Facebook page

Citations

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22 Mendeley
Title
Tobacco prevention policies in west-African countries and their effects on smoking prevalence
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2562-z
Pubmed ID
Authors

Volker Winkler, Yong Lan, Heiko Becher

Abstract

The WHO Framework Convention on Tobacco Control was shown to effectively lower smoking prevalence in in high income countries, however knowledge for low and middle income settings is sparse. The objective of this study was to describe WHO MPOWER policy measures in thirteen West-African countries and to investigate their correlation with smoking prevalence. Age-standardized smoking prevalence data and policy measures were collected from various WHO reports. For analysis MPOWER measures from 2008 and 2010, were combined with prevalence data from 2009 and 2011. Multiple linear regression models were set up. In West-Africa mean smoking prevalence was approximately 20 % among males and approximately 3 % among females. Policy measures were mostly at a middle or low level. Regression analysis showed that tobacco cessation programs, health warnings on cigarettes, and higher price of cigarettes were negatively correlated with smoking prevalence. Significant effects were observed for only one policy measure (tobacco cessation programs) and only within the male population where smoking prevalence is generally higher. Tobacco control policies are enforced at relatively low levels in West-African countries. However, improving tobacco control policy implementation according to the WHO Framework Convention on Tobacco Control should assist in the reduction of smoking prevalence in African countries, thereby counteracting pro-smoking initiatives set forth by the tobacco industry.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Bachelor 2 9%
Student > Master 2 9%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 4 18%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Business, Management and Accounting 3 14%
Nursing and Health Professions 3 14%
Social Sciences 2 9%
Agricultural and Biological Sciences 1 5%
Other 1 5%
Unknown 7 32%
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 30 December 2015.
All research outputs
#12,939,625
of 22,835,198 outputs
Outputs from BMC Public Health
#8,975
of 14,878 outputs
Outputs of similar age
#177,173
of 388,741 outputs
Outputs of similar age from BMC Public Health
#135
of 230 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 38th percentile – i.e., 38% 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 388,741 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 53% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.