Linked Life Data

19674758

Source:http://linkedlifedata.com/resource/pubmed/id/19674758

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2009-10-12
pubmed:abstractText
In diseases with unpredictably long latent period, such as multiple sclerosis (MS), cluster studies, and the analysis of disease distribution by gender and age of onset, can provide clues to disease etiopathogenesis. Sardinia, insular Italy, is among the regions at highest risk for MS worldwide. Multiple epidemiological evidences favour the role of exogenous factors in modulating MS incidence in Sardinians. Its steady increase over time is the main determinant for the observed increased prevalence of MS. Incidence is especially increasing for MS with RR initial course, in individuals with older age and in the female population. More women that will develop MS are believed to being born now. Early childhood is likely the age of susceptibility to MS, and especially in women, in most recent cases, and in individuals developing MS at earlier age and with RR initial clinical course. These evidences suggest that specific exogenous (gender-related? perinatal?) factors have recently been exerting as determinants of the MS increase in Sardinians and the change of its phenotype. Such factors are unlikely agents with fixed latency incubation period, but they could rather be the result of recent lifestyle changes and/or of their interplay with a highly susceptible genetic background.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1878-5883
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
286
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6-13
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Clustering of multiple sclerosis, age of onset and gender in Sardinia.
pubmed:affiliation
Dept Neurosciences, University of Sassari, Viale San Pietro 10, I-07100 Sassari, Italy. maura.pugliatti@isf.uib.no
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't