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Modelling the impact of alcohol consumption on cardiovascular disease mortality for comparative risk assessments: an overview

Overview of attention for article published in BMC Public Health, April 2016
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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 (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
14 tweeters
facebook
2 Facebook pages

Citations

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45 Dimensions

Readers on

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101 Mendeley
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Title
Modelling the impact of alcohol consumption on cardiovascular disease mortality for comparative risk assessments: an overview
Published in
BMC Public Health, April 2016
DOI 10.1186/s12889-016-3026-9
Pubmed ID
Authors

Jürgen Rehm, Kevin D. Shield, Michael Roerecke, Gerrit Gmel

Abstract

Although alcohol consumption has long been considered as a risk factor for chronic disease, the relationship to cardiovascular disease (CVD) is complex and involves at least two dimensions: average volume of alcohol consumption and patterns of drinking. The objective of this contribution was to estimate the burden of CVD mortality caused by alcohol consumption. Risk assessment modelling with alcohol-attributable CVD mortality as primary outcome. The mortality burden of ischaemic heart disease (IHD) and ischaemic stroke (IS) attributable to alcohol consumption was estimated using attributable-fraction methodology. Relative Risk (RR) data for IHD and IS were obtained from the most comprehensive meta-analyses (except for Russia and surrounding countries where alcohol RR data were obtained from a large cohort study). Age-group specific RRs were calculated, based on large studies. Data on mortality were obtained from the World Health Organization's Global Health Estimates and alcohol consumption data were obtained from the Global Information System on Alcohol and Health. Risk of former drinkers was modelled taking into account global differences in the prevalence of sick quitters among former drinkers. Alcohol-attributable mortality estimates for all other CVD causes except IHD and IS were obtained from the 2014 Global Status Report on Alcohol and Health. An estimated 780,381 CVD deaths (441,893 and 338,490 CVD deaths among men and women respectively) were attributable to alcohol consumption globally in 2012, accounting for 1.4 % of all deaths and 26.6 % of all alcohol-attributable deaths. This is in contrast to the previously estimated 1,128,273 CVD deaths attributable to alcohol consumption globally, and represents a decrease of 30.8 % in alcohol-attributable CVD mortality and of 10.6 % in the global burden of all alcohol-attributable deaths. When the most comprehensive and recent systematic reviews and meta-analyses are taken as bases, the net impact of alcohol consumption on CVD is lower than previously estimated.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Researcher 21 21%
Student > Bachelor 10 10%
Student > Ph. D. Student 8 8%
Other 7 7%
Other 15 15%
Unknown 19 19%
Readers by discipline Count As %
Medicine and Dentistry 34 34%
Nursing and Health Professions 12 12%
Psychology 8 8%
Biochemistry, Genetics and Molecular Biology 3 3%
Mathematics 3 3%
Other 15 15%
Unknown 26 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 28 September 2020.
All research outputs
#921,305
of 18,974,311 outputs
Outputs from BMC Public Health
#981
of 12,559 outputs
Outputs of similar age
#19,271
of 273,077 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 18,974,311 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 92% 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 273,077 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them