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Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity

OBJECTIVE: Individuals with multiple metabolic risk factors often experience concomitant sleep-disordered breathing (SDB). We aimed to determine the associations of SDB with individual components of metabolic syndrome independent of obesity. METHODS: A cross-sectional study was conducted in 1137 emp...

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Autores principales: Wakabayashi, Yusuke, Oka, Rie, Nakaya, Masako, Karashima, Shigehiro, Kometani, Mitsuhiro, Sakurai, Masaru, Yoshimura, Kenichi, Yoneda, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217749/
https://www.ncbi.nlm.nih.gov/pubmed/30426019
http://dx.doi.org/10.1155/2018/1567683
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author Wakabayashi, Yusuke
Oka, Rie
Nakaya, Masako
Karashima, Shigehiro
Kometani, Mitsuhiro
Sakurai, Masaru
Yoshimura, Kenichi
Yoneda, Takashi
author_facet Wakabayashi, Yusuke
Oka, Rie
Nakaya, Masako
Karashima, Shigehiro
Kometani, Mitsuhiro
Sakurai, Masaru
Yoshimura, Kenichi
Yoneda, Takashi
author_sort Wakabayashi, Yusuke
collection PubMed
description OBJECTIVE: Individuals with multiple metabolic risk factors often experience concomitant sleep-disordered breathing (SDB). We aimed to determine the associations of SDB with individual components of metabolic syndrome independent of obesity. METHODS: A cross-sectional study was conducted in 1137 employees aged 30–64 years. Apnea-hypopnea index (AHI) was assessed using a portable monitor for obstructive sleep apnea by admission. Of these, 451 participants took an oral glucose tolerance test to assess homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index (ISI). RESULTS: The odds ratio (OR) of the highest category of the AHI (≥15 episodes per hour) compared to the lowest one (<5 episodes per hour) was significantly elevated for hypertension, for hypertriglyceridemia, and for low HDL-cholesterolemia when adjusted for age, sex, and alcohol and smoking status (p < 0.05). After further adjustment for body mass index (BMI) or waist circumference, the associations for hypertension still remained statistically significant (p < 0.05) while those for hypertriglyceridemia and low HDL-cholesterolemia were no longer significant. The association between higher insulin resistance as assessed by HOMA-IR and Matsuda ISI and higher categories of the AHI was also lost after adjustment for BMI. CONCLUSION: Obesity was a strong confounding factor in the association between SDB and most metabolic risk factors including insulin resistance, except for hypertension. Further longitudinal study is needed to examine the temporal or causal relationships between SDB and metabolic risk factors. This trial is registered with UMIN-CTR UMIN000028067.
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spelling pubmed-62177492018-11-13 Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity Wakabayashi, Yusuke Oka, Rie Nakaya, Masako Karashima, Shigehiro Kometani, Mitsuhiro Sakurai, Masaru Yoshimura, Kenichi Yoneda, Takashi J Diabetes Res Research Article OBJECTIVE: Individuals with multiple metabolic risk factors often experience concomitant sleep-disordered breathing (SDB). We aimed to determine the associations of SDB with individual components of metabolic syndrome independent of obesity. METHODS: A cross-sectional study was conducted in 1137 employees aged 30–64 years. Apnea-hypopnea index (AHI) was assessed using a portable monitor for obstructive sleep apnea by admission. Of these, 451 participants took an oral glucose tolerance test to assess homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index (ISI). RESULTS: The odds ratio (OR) of the highest category of the AHI (≥15 episodes per hour) compared to the lowest one (<5 episodes per hour) was significantly elevated for hypertension, for hypertriglyceridemia, and for low HDL-cholesterolemia when adjusted for age, sex, and alcohol and smoking status (p < 0.05). After further adjustment for body mass index (BMI) or waist circumference, the associations for hypertension still remained statistically significant (p < 0.05) while those for hypertriglyceridemia and low HDL-cholesterolemia were no longer significant. The association between higher insulin resistance as assessed by HOMA-IR and Matsuda ISI and higher categories of the AHI was also lost after adjustment for BMI. CONCLUSION: Obesity was a strong confounding factor in the association between SDB and most metabolic risk factors including insulin resistance, except for hypertension. Further longitudinal study is needed to examine the temporal or causal relationships between SDB and metabolic risk factors. This trial is registered with UMIN-CTR UMIN000028067. Hindawi 2018-10-22 /pmc/articles/PMC6217749/ /pubmed/30426019 http://dx.doi.org/10.1155/2018/1567683 Text en Copyright © 2018 Yusuke Wakabayashi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wakabayashi, Yusuke
Oka, Rie
Nakaya, Masako
Karashima, Shigehiro
Kometani, Mitsuhiro
Sakurai, Masaru
Yoshimura, Kenichi
Yoneda, Takashi
Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title_full Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title_fullStr Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title_full_unstemmed Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title_short Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity
title_sort associations between sleep-disordered breathing and metabolic risk factors beyond obesity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217749/
https://www.ncbi.nlm.nih.gov/pubmed/30426019
http://dx.doi.org/10.1155/2018/1567683
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