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Description and Prediction of the Development of Metabolic Syndrome: A Longitudinal Analysis Using a...

Description and Prediction of the Development of Metabolic Syndrome: A Longitudinal Analysis Using a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1370183751

Description and Prediction of the Development of Metabolic Syndrome: A Longitudinal Analysis Using a Markov Model Approach

About this item

Full title

Description and Prediction of the Development of Metabolic Syndrome: A Longitudinal Analysis Using a Markov Model Approach

Publisher

United States: Public Library of Science

Journal title

PloS one, 2013-06, Vol.8 (6), p.e67436-e67436

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Delineating the natural history of metabolic syndrome (MetS) is prerequisite to prevention. This study aimed to build Markov models to simulate each component's progress and to test the effect of different initial states on the development of MetS.
MetS was defined with revised AHA/NHLBI criteria. Each reversible multistate Markov chain consiste...

Alternative Titles

Full title

Description and Prediction of the Development of Metabolic Syndrome: A Longitudinal Analysis Using a Markov Model Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1370183751

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1370183751

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0067436

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