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Negative interaction between smoking and EBV in the risk of multiple sclerosis: The EnvIMS study

Overview of attention for article published in Multiple Sclerosis Journal, September 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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8 X users

Citations

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19 Dimensions

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Title
Negative interaction between smoking and EBV in the risk of multiple sclerosis: The EnvIMS study
Published in
Multiple Sclerosis Journal, September 2016
DOI 10.1177/1352458516671028
Pubmed ID
Authors

Kjetil Bjørnevik, Trond Riise, Inger Bostrom, Ilaria Casetta, Marianna Cortese, Enrico Granieri, Trygve Holmøy, Margitta T Kampman, Anne-Marie Landtblom, Sandra Magalhaes, Maura Pugliatti, Christina Wolfson, Kjell-Morten Myhr

Abstract

Results from previous studies on a possible interaction between smoking and Epstein-Barr virus (EBV) in the risk of multiple sclerosis (MS) are conflicting. To examine the interaction between smoking and infectious mononucleosis (IM) in the risk of MS. Within the case-control study on Environmental Factors In Multiple Sclerosis (EnvIMS), 1904 MS patients and 3694 population-based frequency-matched healthy controls from Norway, Italy, and Sweden reported on prior exposure to smoking and history of IM. We examined the interaction between the two exposures on the additive and multiplicative scale. Smoking and IM were each found to be associated with an increased MS risk in all three countries, and there was a negative multiplicative interaction between the two exposures in each country separately as well as in the pooled analysis (p = 0.001). Among those who reported IM, there was no increased risk associated with smoking (odds ratio (OR): 0.95, 95% confidence interval (CI): 0.66-1.37). The direction of the estimated interactions on the additive scale was consistent with a negative interaction in all three countries (relative excess risk due to interaction (RERI): -0.98, 95% CI: -2.05-0.15, p = 0.09). Our findings indicate competing antagonism, where the two exposures compete to affect the outcome.

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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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 21%
Researcher 9 19%
Student > Master 5 11%
Student > Ph. D. Student 4 9%
Professor 3 6%
Other 5 11%
Unknown 11 23%
Readers by discipline Count As %
Medicine and Dentistry 18 38%
Biochemistry, Genetics and Molecular Biology 5 11%
Neuroscience 4 9%
Nursing and Health Professions 1 2%
Psychology 1 2%
Other 4 9%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 September 2016.
All research outputs
#6,309,205
of 22,889,074 outputs
Outputs from Multiple Sclerosis Journal
#1,741
of 3,456 outputs
Outputs of similar age
#96,893
of 321,669 outputs
Outputs of similar age from Multiple Sclerosis Journal
#26
of 63 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,456 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 49th percentile – i.e., 49% 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 321,669 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 69% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.