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Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies

BACKGROUND: Emerging epidemiological evidence suggest an association between metabolic syndrome and fractures. However, whether metabolic syndrome is an independent risk or protective factor of fractures remains controversial. Our goal is to provide a quantitative assessment of the association betwe...

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Autores principales: Sun, Kan, Liu, Jianmin, Lu, Nan, Sun, Hanxiao, Ning, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922194/
https://www.ncbi.nlm.nih.gov/pubmed/24506931
http://dx.doi.org/10.1186/1472-6823-14-13
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author Sun, Kan
Liu, Jianmin
Lu, Nan
Sun, Hanxiao
Ning, Guang
author_facet Sun, Kan
Liu, Jianmin
Lu, Nan
Sun, Hanxiao
Ning, Guang
author_sort Sun, Kan
collection PubMed
description BACKGROUND: Emerging epidemiological evidence suggest an association between metabolic syndrome and fractures. However, whether metabolic syndrome is an independent risk or protective factor of fractures remains controversial. Our goal is to provide a quantitative assessment of the association between metabolic syndrome and bone fractures by conducting a meta-analysis of observational studies. METHODS: The PubMed and Embase database were searched through to March 2013 to identify studies that met pre-established inclusion criteria. Reference lists of retrieved articles were also reviewed. Summary effect estimates with 95% confidence intervals (CI) were derived using a fixed or random effects model, depending on the heterogeneity of the included studies. RESULTS: Eight epidemiologic studies involving 39,938 participants were included in the meta-analysis. In overall analysis, metabolic syndrome was not associated with prevalent fractures [pooled odds ratio (OR) 0.93, 95% CI 0.84 - 1.03] in cross-sectional studies or incident fractures [pooled relative risk (RR) 0.88, 95% CI 0.37 - 2.12] in prospective cohort studies. No evidence of heterogeneity was found in cross-sectional studies (p = 0.786, I( 2 ) = 0.0%). A substantial heterogeneity was detected in cohort studies (p = 0.001, I( 2 ) = 85.7%). No indication of significant publication bias was found either from Begg’s test or Egger’s test. Estimates of total effects were substantially consistent in the sensitivity and stratification analyses. CONCLUSIONS: The present meta-analysis of observational studies suggests that the metabolic syndrome has no explicit effect on bone fractures.
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spelling pubmed-39221942014-02-13 Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies Sun, Kan Liu, Jianmin Lu, Nan Sun, Hanxiao Ning, Guang BMC Endocr Disord Research Article BACKGROUND: Emerging epidemiological evidence suggest an association between metabolic syndrome and fractures. However, whether metabolic syndrome is an independent risk or protective factor of fractures remains controversial. Our goal is to provide a quantitative assessment of the association between metabolic syndrome and bone fractures by conducting a meta-analysis of observational studies. METHODS: The PubMed and Embase database were searched through to March 2013 to identify studies that met pre-established inclusion criteria. Reference lists of retrieved articles were also reviewed. Summary effect estimates with 95% confidence intervals (CI) were derived using a fixed or random effects model, depending on the heterogeneity of the included studies. RESULTS: Eight epidemiologic studies involving 39,938 participants were included in the meta-analysis. In overall analysis, metabolic syndrome was not associated with prevalent fractures [pooled odds ratio (OR) 0.93, 95% CI 0.84 - 1.03] in cross-sectional studies or incident fractures [pooled relative risk (RR) 0.88, 95% CI 0.37 - 2.12] in prospective cohort studies. No evidence of heterogeneity was found in cross-sectional studies (p = 0.786, I( 2 ) = 0.0%). A substantial heterogeneity was detected in cohort studies (p = 0.001, I( 2 ) = 85.7%). No indication of significant publication bias was found either from Begg’s test or Egger’s test. Estimates of total effects were substantially consistent in the sensitivity and stratification analyses. CONCLUSIONS: The present meta-analysis of observational studies suggests that the metabolic syndrome has no explicit effect on bone fractures. BioMed Central 2014-02-09 /pmc/articles/PMC3922194/ /pubmed/24506931 http://dx.doi.org/10.1186/1472-6823-14-13 Text en Copyright © 2014 Sun et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sun, Kan
Liu, Jianmin
Lu, Nan
Sun, Hanxiao
Ning, Guang
Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title_full Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title_fullStr Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title_full_unstemmed Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title_short Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
title_sort association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922194/
https://www.ncbi.nlm.nih.gov/pubmed/24506931
http://dx.doi.org/10.1186/1472-6823-14-13
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