SwePub
Sök i LIBRIS databas

  Utökad sökning

onr:"swepub:oai:DiVA.org:umu-57438"
 

Sökning: onr:"swepub:oai:DiVA.org:umu-57438" > A Network-Based App...

A Network-Based Approach to Visualize Prevalence and Progression of Metabolic Syndrome Components

Haring, Robin (författare)
Rosvall, Martin (författare)
Umeå universitet,Institutionen för fysik
Völker, Uwe (författare)
visa fler...
Völzke, Henry (författare)
Kroemer, Heyo (författare)
Nauck, Matthias (författare)
Wallaschofski, Henri (författare)
visa färre...
 (creator_code:org_t)
San Francisco : Public Library of Science, 2012
2012
Engelska.
Ingår i: PLoS ONE. - San Francisco : Public Library of Science. - 1932-6203 .- 1932-6203. ; 7:6, s. e39461-
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: The additional clinical value of clustering cardiovascular risk factors to define the metabolic syndrome (MetS) is still under debate. However, it is unclear which cardiovascular risk factors tend to cluster predominately and how individual risk factor states change over time. Methods & Results: We used data from 3,187 individuals aged 20-79 years from the population-based Study of Health in Pomerania for a network-based approach to visualize clustered MetS risk factor states and their change over a five-year follow-up period. MetS was defined by harmonized Adult Treatment Panel III criteria, and each individual's risk factor burden was classified according to the five MetS components at baseline and follow-up. We used the map generator to depict 32 (2(5)) different states and highlight the most important transitions between the 1,024 (32(2)) possible states in the weighted directed network. At baseline, we found the largest fraction (19.3%) of all individuals free of any MetS risk factors and identified hypertension (15.4%) and central obesity (6.3%), as well as their combination (19.0%), as the most common MetS risk factors. Analyzing risk factor flow over the five-year follow-up, we found that most individuals remained in their risk factor state and that low high-density lipoprotein cholesterol (HDL) (6.3%) was the most prominent additional risk factor beyond hypertension and central obesity. Also among individuals without any MetS risk factor at baseline, low HDL (3.5%), hypertension (2.1%), and central obesity (1.6%) were the first risk factors to manifest during follow-up. Conclusions: We identified hypertension and central obesity as the predominant MetS risk factor cluster and low HDL concentrations as the most prominent new onset risk factor.

Ämnesord

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskaper (hsv//swe)
NATURVETENSKAP  -- Matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

  • PLoS ONE (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

Sök utanför SwePub

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy