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Does low alcohol use increase the risk of sickness absence? A discordant twin study

Overview of attention for article published in BMC Public Health, August 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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4 news outlets
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8 X users
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1 Google+ user

Citations

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8 Dimensions

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Title
Does low alcohol use increase the risk of sickness absence? A discordant twin study
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3502-2
Pubmed ID
Authors

Kristian Amundsen Østby, Nikolai Czajkowski, Gun Peggy Knudsen, Eivind Ystrøm, Line C. Gjerde, Kenneth S. Kendler, Ragnhild E Ørstavik, Ted Reichborn-Kjennerud

Abstract

Results from observational studies suggest that people who drink little or no alcohol are less healthy than medium drinkers. This has been demonstrated for many different measures of health, including sick leave. However, whether these associations are causal or due to confounding remains to be clarified. The aim of this study was to use a discordant twin design to determine whether the increased level of sick leave associated with a low level of alcohol consumption, as compared to those with a medium level of consumption, reflects a causal mechanism or is due to genetic or environmental confounding. Six thousand seven hundred thirty-four young adult twins from the Norwegian Institute of Public Health's twin panel were in 1998 assessed for frequency of alcohol use and binge drinking. Data were linked to the Norwegian National Insurance Administration's recordings of sick leave over a 10 year period. The associations between alcohol consumption and sick leave were first estimated in the total study population, and then within di- and monozygotic twin pairs discordant for alcohol use. Compared to medium consumption, both low and high alcohol consumption was associated with increased risk of sick leave. When low level drinkers were compared to medium level drinkers in a discordant twin design, the results were consistent with the association being due to genetic confounding rather than a causal effect. The increased level of sick leave observed with low level drinkers seems to be mainly explained by confounding from genetic factors. In all observational studies of the relationship between alcohol consumption and health, one should be aware that important genetic confounders are likely to influence the results.

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X Demographics

The data shown below were collected from the profiles of 8 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 %
Student > Master 4 18%
Researcher 3 14%
Student > Bachelor 2 9%
Lecturer > Senior Lecturer 2 9%
Student > Ph. D. Student 2 9%
Other 2 9%
Unknown 7 32%
Readers by discipline Count As %
Psychology 6 27%
Medicine and Dentistry 4 18%
Nursing and Health Professions 2 9%
Neuroscience 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 March 2017.
All research outputs
#937,597
of 23,994,935 outputs
Outputs from BMC Public Health
#1,008
of 15,801 outputs
Outputs of similar age
#18,310
of 347,975 outputs
Outputs of similar age from BMC Public Health
#30
of 404 outputs
Altmetric has tracked 23,994,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 93% 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 347,975 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 94% of its contemporaries.
We're also able to compare this research output to 404 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.