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A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome

BACKGROUND: Exploratory factor analysis is a commonly used statistical technique in metabolic syndrome research to uncover latent structure amongst metabolic variables. The application of factor analysis requires methodological decisions that reflect the hypothesis of the metabolic syndrome construc...

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Autores principales: Woolston, Andrew, Tu, Yu-Kang, Baxter, Paul D., Gilthorpe, Mark S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317545/
https://www.ncbi.nlm.nih.gov/pubmed/22485169
http://dx.doi.org/10.1371/journal.pone.0034410
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author Woolston, Andrew
Tu, Yu-Kang
Baxter, Paul D.
Gilthorpe, Mark S.
author_facet Woolston, Andrew
Tu, Yu-Kang
Baxter, Paul D.
Gilthorpe, Mark S.
author_sort Woolston, Andrew
collection PubMed
description BACKGROUND: Exploratory factor analysis is a commonly used statistical technique in metabolic syndrome research to uncover latent structure amongst metabolic variables. The application of factor analysis requires methodological decisions that reflect the hypothesis of the metabolic syndrome construct. These decisions often raise the complexity of the interpretation from the output. We propose two alternative techniques developed from cluster analysis which can achieve a clinically relevant structure, whilst maintaining intuitive advantages of clustering methodology. METHODS: Two advanced techniques of clustering in the VARCLUS and matroid methods are discussed and implemented on a metabolic syndrome data set to analyze the structure of ten metabolic risk factors. The subjects were selected from the normative aging study based in Boston, Massachusetts. The sample included a total of 847 men aged between 21 and 81 years who provided complete data on selected risk factors during the period 1987 to 1991. RESULTS: Four core components were identified by the clustering methods. These are labelled obesity, lipids, insulin resistance and blood pressure. The exploratory factor analysis with oblique rotation suggested an overlap of the loadings identified on the insulin resistance and obesity factors. The VARCLUS and matroid analyses separated these components and were able to demonstrate associations between individual risk factors. CONCLUSIONS: An oblique rotation can be selected to reflect the clinical concept of a single underlying syndrome, however the results are often difficult to interpret. Factor loadings must be considered along with correlations between the factors. The correlated components produced by the VARCLUS and matroid analyses are not overlapped, which allows for a simpler application of the methodologies and interpretation of the results. These techniques encourage consistency in the interpretation whilst remaining faithful to the construct under study.
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spelling pubmed-33175452012-04-06 A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome Woolston, Andrew Tu, Yu-Kang Baxter, Paul D. Gilthorpe, Mark S. PLoS One Research Article BACKGROUND: Exploratory factor analysis is a commonly used statistical technique in metabolic syndrome research to uncover latent structure amongst metabolic variables. The application of factor analysis requires methodological decisions that reflect the hypothesis of the metabolic syndrome construct. These decisions often raise the complexity of the interpretation from the output. We propose two alternative techniques developed from cluster analysis which can achieve a clinically relevant structure, whilst maintaining intuitive advantages of clustering methodology. METHODS: Two advanced techniques of clustering in the VARCLUS and matroid methods are discussed and implemented on a metabolic syndrome data set to analyze the structure of ten metabolic risk factors. The subjects were selected from the normative aging study based in Boston, Massachusetts. The sample included a total of 847 men aged between 21 and 81 years who provided complete data on selected risk factors during the period 1987 to 1991. RESULTS: Four core components were identified by the clustering methods. These are labelled obesity, lipids, insulin resistance and blood pressure. The exploratory factor analysis with oblique rotation suggested an overlap of the loadings identified on the insulin resistance and obesity factors. The VARCLUS and matroid analyses separated these components and were able to demonstrate associations between individual risk factors. CONCLUSIONS: An oblique rotation can be selected to reflect the clinical concept of a single underlying syndrome, however the results are often difficult to interpret. Factor loadings must be considered along with correlations between the factors. The correlated components produced by the VARCLUS and matroid analyses are not overlapped, which allows for a simpler application of the methodologies and interpretation of the results. These techniques encourage consistency in the interpretation whilst remaining faithful to the construct under study. Public Library of Science 2012-04-02 /pmc/articles/PMC3317545/ /pubmed/22485169 http://dx.doi.org/10.1371/journal.pone.0034410 Text en Woolston et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Woolston, Andrew
Tu, Yu-Kang
Baxter, Paul D.
Gilthorpe, Mark S.
A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title_full A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title_fullStr A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title_full_unstemmed A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title_short A Comparison of Different Approaches to Unravel the Latent Structure within Metabolic Syndrome
title_sort comparison of different approaches to unravel the latent structure within metabolic syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317545/
https://www.ncbi.nlm.nih.gov/pubmed/22485169
http://dx.doi.org/10.1371/journal.pone.0034410
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