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Onset Symptoms, Tobacco Smoking, and Progressive-Onset Phenotype Are Associated With a Delayed Onset of Multiple Sclerosis, and Marijuana Use With an Earlier Onset

Overview of attention for article published in Frontiers in Neurology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Onset Symptoms, Tobacco Smoking, and Progressive-Onset Phenotype Are Associated With a Delayed Onset of Multiple Sclerosis, and Marijuana Use With an Earlier Onset
Published in
Frontiers in Neurology, June 2018
DOI 10.3389/fneur.2018.00418
Pubmed ID
Authors

Chunrong Tao, Steve Simpson, Bruce V. Taylor, Leigh Blizzard, Robyn M. Lucas, Anne-Louise Ponsonby, Simon Broadley, AusLong/Ausimmune Investigators Group, Ingrid van der Mei, Robyn M Lucas, Keith Dear, Anne-Louise Ponsonby, Terry Dwyer, Ingrid van der Mei, Leigh Blizzard, Steve Simpson, Bruce V Taylor, Simon Broadley, Trevor Kilpatrick, David Williams, Jeanette Lechner-Scott, Cameron Shaw, Caron Chapman, Alan Coulthard, Michael P Pender, Patricia Valery

Abstract

Background: Age at symptom onset (ASO) is a prognostic factor that could affect the accrual of disability in multiple sclerosis (MS) patients. Some factors are known to influence the risk of multiple sclerosis (MS), but their influence on the ASO is less well-investigated. Objective: Examine the associations between known or emerging MS risk factors and ASO. Methods: This was a multicenter study, incident cases (n = 279) with first clinical diagnosis of demyelinating event aged 18-59 years recruited at four Australian centres (latitudes 27°-43°S), from 1 November 2003 to 31 December 2006. Environmental/behavioral variables and initial symptoms were recorded at baseline interview. Linear regression was used to assess the association between risk factors and ASO. Results: Five factors were significantly associated with ASO: a history of tobacco smoking was associated with 3.05-years later ASO (p = 0.002); a history of marijuana use was associated with 6.03-years earlier ASO (p < 0.001); progressive-onset cases had 5.61-years later ASO (p = 0.001); an initial presentation of bowel & bladder and cerebral dysfunctional were associated with 3.39 (p = 0.017) and 4.37-years (p = 0.006) later ASO, respectively. Other factors, including sex, offspring number, latitude of study site, history of infectious mononucleosis, HLA-DR15 & HLA-A2 genotype, 25(OH)D levels, and ultraviolet radiation exposure were not associated with ASO. Including all five significant variables into one model explained 12% of the total variance in ASO. Conclusion: We found a novel association between a history of tobacco smoking and later onset, whereas marijuana use was associated with earlier onset. Behavioral factors seem important drivers of MS onset timing although much of the variance remains unexplained.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 5 10%
Student > Bachelor 5 10%
Unspecified 4 8%
Researcher 4 8%
Other 14 29%
Unknown 8 16%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Psychology 9 18%
Unspecified 4 8%
Neuroscience 4 8%
Nursing and Health Professions 3 6%
Other 7 14%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 June 2018.
All research outputs
#4,826,456
of 23,305,591 outputs
Outputs from Frontiers in Neurology
#3,855
of 12,215 outputs
Outputs of similar age
#92,350
of 329,570 outputs
Outputs of similar age from Frontiers in Neurology
#76
of 313 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 68% 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 329,570 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 71% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.