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Predictors of metabolic syndrome in community-dwelling older adults

OBJECTIVES: The metabolic syndrome has been associated with a variety of individual variables, including demographics, lifestyle, clinical measures and physical performance. We aimed to identify independent predictors of the prevalence and incidence of metabolic syndrome in a large cohort of older a...

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Autores principales: Van Ancum, Jeanine M., Jonkman, Nini H., van Schoor, Natasja M., Tressel, Emily, Meskers, Carel G. M., Pijnappels, Mirjam, Maier, Andrea B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209297/
https://www.ncbi.nlm.nih.gov/pubmed/30379967
http://dx.doi.org/10.1371/journal.pone.0206424
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author Van Ancum, Jeanine M.
Jonkman, Nini H.
van Schoor, Natasja M.
Tressel, Emily
Meskers, Carel G. M.
Pijnappels, Mirjam
Maier, Andrea B.
author_facet Van Ancum, Jeanine M.
Jonkman, Nini H.
van Schoor, Natasja M.
Tressel, Emily
Meskers, Carel G. M.
Pijnappels, Mirjam
Maier, Andrea B.
author_sort Van Ancum, Jeanine M.
collection PubMed
description OBJECTIVES: The metabolic syndrome has been associated with a variety of individual variables, including demographics, lifestyle, clinical measures and physical performance. We aimed to identify independent predictors of the prevalence and incidence of metabolic syndrome in a large cohort of older adults. METHODS: The Longitudinal Aging Study Amsterdam is a prospective cohort including community-dwelling adults aged 55–85 years. Metabolic syndrome was defined according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. The incidence of metabolic syndrome was calculated over a period of three years. Stepwise backward logistic regression analyses were used to identify predictors, including variables for demographics, lifestyle, clinical measures and physical performance, both in a cross-sectional cohort (n = 1292) and a longitudinal sub-cohort (n = 218). RESULTS: Prevalence and incidence of metabolic syndrome were 37% (n = 479) and 30% (n = 66), respectively. Cross-sectionally, heart disease (OR: 1.91, 95% CI: 1.37–2.65), peripheral artery disease (OR: 2.13, 95% CI: 1.32–3.42), diabetes (OR: 4.74, 95% CI: 2.65–8.48), cerebrovascular accident (OR: 1.92, 95% CI: 1.09–3.37), and a higher Body Mass Index (OR: 1.32, 95% CI: 1.26–1.38) were significant independent predictors of metabolic syndrome. Longitudinally, Body Mass Index (OR: 1.16, 95% CI: 1.05–1.27) was an independent predictor of metabolic syndrome. CONCLUSION: Four age related diseases and a higher Body Mass Index were the only predictors of metabolic syndrome in the cross-sectional cohort, despite the large variety of variables included in the multivariable analysis. In the longitudinal sub-cohort, a higher Body Mass Index was predictive of developing metabolic syndrome.
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spelling pubmed-62092972018-11-19 Predictors of metabolic syndrome in community-dwelling older adults Van Ancum, Jeanine M. Jonkman, Nini H. van Schoor, Natasja M. Tressel, Emily Meskers, Carel G. M. Pijnappels, Mirjam Maier, Andrea B. PLoS One Research Article OBJECTIVES: The metabolic syndrome has been associated with a variety of individual variables, including demographics, lifestyle, clinical measures and physical performance. We aimed to identify independent predictors of the prevalence and incidence of metabolic syndrome in a large cohort of older adults. METHODS: The Longitudinal Aging Study Amsterdam is a prospective cohort including community-dwelling adults aged 55–85 years. Metabolic syndrome was defined according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. The incidence of metabolic syndrome was calculated over a period of three years. Stepwise backward logistic regression analyses were used to identify predictors, including variables for demographics, lifestyle, clinical measures and physical performance, both in a cross-sectional cohort (n = 1292) and a longitudinal sub-cohort (n = 218). RESULTS: Prevalence and incidence of metabolic syndrome were 37% (n = 479) and 30% (n = 66), respectively. Cross-sectionally, heart disease (OR: 1.91, 95% CI: 1.37–2.65), peripheral artery disease (OR: 2.13, 95% CI: 1.32–3.42), diabetes (OR: 4.74, 95% CI: 2.65–8.48), cerebrovascular accident (OR: 1.92, 95% CI: 1.09–3.37), and a higher Body Mass Index (OR: 1.32, 95% CI: 1.26–1.38) were significant independent predictors of metabolic syndrome. Longitudinally, Body Mass Index (OR: 1.16, 95% CI: 1.05–1.27) was an independent predictor of metabolic syndrome. CONCLUSION: Four age related diseases and a higher Body Mass Index were the only predictors of metabolic syndrome in the cross-sectional cohort, despite the large variety of variables included in the multivariable analysis. In the longitudinal sub-cohort, a higher Body Mass Index was predictive of developing metabolic syndrome. Public Library of Science 2018-10-31 /pmc/articles/PMC6209297/ /pubmed/30379967 http://dx.doi.org/10.1371/journal.pone.0206424 Text en © 2018 Van Ancum 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Van Ancum, Jeanine M.
Jonkman, Nini H.
van Schoor, Natasja M.
Tressel, Emily
Meskers, Carel G. M.
Pijnappels, Mirjam
Maier, Andrea B.
Predictors of metabolic syndrome in community-dwelling older adults
title Predictors of metabolic syndrome in community-dwelling older adults
title_full Predictors of metabolic syndrome in community-dwelling older adults
title_fullStr Predictors of metabolic syndrome in community-dwelling older adults
title_full_unstemmed Predictors of metabolic syndrome in community-dwelling older adults
title_short Predictors of metabolic syndrome in community-dwelling older adults
title_sort predictors of metabolic syndrome in community-dwelling older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209297/
https://www.ncbi.nlm.nih.gov/pubmed/30379967
http://dx.doi.org/10.1371/journal.pone.0206424
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