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Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women
BACKGROUND: The objective of the present study was to examine the associations between various anthropometric measures and metabolic syndrome and hearing impairment in Asian women. METHODS: We identified 11,755 women who underwent voluntary routine health checkups at Yeungnam University Hospital bet...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648514/ https://www.ncbi.nlm.nih.gov/pubmed/26575369 http://dx.doi.org/10.1371/journal.pone.0143119 |
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author | Kang, Seok Hui Jung, Da Jung Lee, Kyu Yup Choi, Eun Woo Do, Jun Young |
author_facet | Kang, Seok Hui Jung, Da Jung Lee, Kyu Yup Choi, Eun Woo Do, Jun Young |
author_sort | Kang, Seok Hui |
collection | PubMed |
description | BACKGROUND: The objective of the present study was to examine the associations between various anthropometric measures and metabolic syndrome and hearing impairment in Asian women. METHODS: We identified 11,755 women who underwent voluntary routine health checkups at Yeungnam University Hospital between June 2008 and April 2014. Among these patients, 2,485 participants were <40 years old, and 1,072 participants lacked information regarding their laboratory findings or hearing and were therefore excluded. In total 8,198 participants were recruited into our study. RESULTS: The AUROC value for metabolic syndrome was 0.790 for the waist to hip ratio (WHR). The cutoff value was 0.939. The sensitivity and specificity for predicting metabolic syndrome were 72.7% and 71.7%, respectively. The AUROC value for hearing loss was 0.758 for WHR. The cutoff value was 0.932. The sensitivity and specificity for predicting hearing loss were 65.8% and 73.4%, respectively. The WHR had the highest AUC and was the best predictor of metabolic syndrome and hearing loss. Univariate and multivariate linear regression analyses showed that WHR levels were positively associated with four hearing thresholds including averaged hearing threshold and low, middle, and high frequency thresholds. In addition, multivariate logistic analysis revealed that those with a high WHR had a 1.347–fold increased risk of hearing loss compared with the participants with a low WHR. CONCLUSION: Our results demonstrated that WHR may be a surrogate marker for predicting the risk of hearing loss resulting from metabolic syndrome. |
format | Online Article Text |
id | pubmed-4648514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46485142015-11-25 Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women Kang, Seok Hui Jung, Da Jung Lee, Kyu Yup Choi, Eun Woo Do, Jun Young PLoS One Research Article BACKGROUND: The objective of the present study was to examine the associations between various anthropometric measures and metabolic syndrome and hearing impairment in Asian women. METHODS: We identified 11,755 women who underwent voluntary routine health checkups at Yeungnam University Hospital between June 2008 and April 2014. Among these patients, 2,485 participants were <40 years old, and 1,072 participants lacked information regarding their laboratory findings or hearing and were therefore excluded. In total 8,198 participants were recruited into our study. RESULTS: The AUROC value for metabolic syndrome was 0.790 for the waist to hip ratio (WHR). The cutoff value was 0.939. The sensitivity and specificity for predicting metabolic syndrome were 72.7% and 71.7%, respectively. The AUROC value for hearing loss was 0.758 for WHR. The cutoff value was 0.932. The sensitivity and specificity for predicting hearing loss were 65.8% and 73.4%, respectively. The WHR had the highest AUC and was the best predictor of metabolic syndrome and hearing loss. Univariate and multivariate linear regression analyses showed that WHR levels were positively associated with four hearing thresholds including averaged hearing threshold and low, middle, and high frequency thresholds. In addition, multivariate logistic analysis revealed that those with a high WHR had a 1.347–fold increased risk of hearing loss compared with the participants with a low WHR. CONCLUSION: Our results demonstrated that WHR may be a surrogate marker for predicting the risk of hearing loss resulting from metabolic syndrome. Public Library of Science 2015-11-17 /pmc/articles/PMC4648514/ /pubmed/26575369 http://dx.doi.org/10.1371/journal.pone.0143119 Text en © 2015 Kang 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 Kang, Seok Hui Jung, Da Jung Lee, Kyu Yup Choi, Eun Woo Do, Jun Young Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title | Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title_full | Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title_fullStr | Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title_full_unstemmed | Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title_short | Comparison of Various Anthropometric Indices as Risk Factors for Hearing Impairment in Asian Women |
title_sort | comparison of various anthropometric indices as risk factors for hearing impairment in asian women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648514/ https://www.ncbi.nlm.nih.gov/pubmed/26575369 http://dx.doi.org/10.1371/journal.pone.0143119 |
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