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Association of adiposity with risk of obstructive sleep apnea: a population-based study

BACKGROUND: Obesity is a crucial risk factor for obstructive sleep apnea (OSA), but the association between adiposity deposition and OSA risk has not reached a consistent conclusion. This study sought to reveal the association of multiple adiposity indicators with OSA risk. METHODS: This cross-secti...

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Autores principales: Deng, Hai, Duan, Xueru, Huang, Jun, Zheng, Murui, Lao, Miaochan, Weng, Fan, Su, Qi-ying, Zheng, Zhen-feng, Mei, Yunting, Huang, Li, Yang, Wen-han, Xing, Xiaohui, Ma, Xiaofeng, Zhao, Wenjing, Liu, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512644/
https://www.ncbi.nlm.nih.gov/pubmed/37735660
http://dx.doi.org/10.1186/s12889-023-16695-4
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author Deng, Hai
Duan, Xueru
Huang, Jun
Zheng, Murui
Lao, Miaochan
Weng, Fan
Su, Qi-ying
Zheng, Zhen-feng
Mei, Yunting
Huang, Li
Yang, Wen-han
Xing, Xiaohui
Ma, Xiaofeng
Zhao, Wenjing
Liu, Xudong
author_facet Deng, Hai
Duan, Xueru
Huang, Jun
Zheng, Murui
Lao, Miaochan
Weng, Fan
Su, Qi-ying
Zheng, Zhen-feng
Mei, Yunting
Huang, Li
Yang, Wen-han
Xing, Xiaohui
Ma, Xiaofeng
Zhao, Wenjing
Liu, Xudong
author_sort Deng, Hai
collection PubMed
description BACKGROUND: Obesity is a crucial risk factor for obstructive sleep apnea (OSA), but the association between adiposity deposition and OSA risk has not reached a consistent conclusion. This study sought to reveal the association of multiple adiposity indicators with OSA risk. METHODS: This cross-sectional study included 9,733 participants aged 35–74 years, recruited from an ongoing population-based cohort. OSA was assessed by the Berlin Questionnaire. Six adiposity indicators, including neck circumference (NC), body fat percentage (BF%), waist-to-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and resting metabolic rate (RMR), were selected. Multivariate logistic regression models were used to examine the association of adiposity indicators with OSA risk. RESULTS: One thousand six hundred twenty-six participants (16.71%) were classified into the OSA group. NC, BF%, WHR, VAI, LAP, and RMR were all positively associated with the risk of OSA after adjusting for confounders, regardless of age, sex, and history of dyslipidemia. Every 1-unit increment of NC, BF%, and VAI was associated with a 13%, 9%, and 14% increased risk of OSA, respectively; every 0.01-unit increment of WHR was associated with a 3% increased risk of OSA; every 10-unit increment of LAP and RMR was associated with 2% and 4% increased risk of OSA, respectively. CONCLUSIONS: NC, BF%, WHR, VAI, LAP, and RMR were all independently and positively associated with OSA risk, regardless of age, sex, history of dyslipidemia, and menopausal status. Application of these new indicators could help to more comprehensively reflect and predict the risk of OSA in the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16695-4.
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spelling pubmed-105126442023-09-22 Association of adiposity with risk of obstructive sleep apnea: a population-based study Deng, Hai Duan, Xueru Huang, Jun Zheng, Murui Lao, Miaochan Weng, Fan Su, Qi-ying Zheng, Zhen-feng Mei, Yunting Huang, Li Yang, Wen-han Xing, Xiaohui Ma, Xiaofeng Zhao, Wenjing Liu, Xudong BMC Public Health Research BACKGROUND: Obesity is a crucial risk factor for obstructive sleep apnea (OSA), but the association between adiposity deposition and OSA risk has not reached a consistent conclusion. This study sought to reveal the association of multiple adiposity indicators with OSA risk. METHODS: This cross-sectional study included 9,733 participants aged 35–74 years, recruited from an ongoing population-based cohort. OSA was assessed by the Berlin Questionnaire. Six adiposity indicators, including neck circumference (NC), body fat percentage (BF%), waist-to-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and resting metabolic rate (RMR), were selected. Multivariate logistic regression models were used to examine the association of adiposity indicators with OSA risk. RESULTS: One thousand six hundred twenty-six participants (16.71%) were classified into the OSA group. NC, BF%, WHR, VAI, LAP, and RMR were all positively associated with the risk of OSA after adjusting for confounders, regardless of age, sex, and history of dyslipidemia. Every 1-unit increment of NC, BF%, and VAI was associated with a 13%, 9%, and 14% increased risk of OSA, respectively; every 0.01-unit increment of WHR was associated with a 3% increased risk of OSA; every 10-unit increment of LAP and RMR was associated with 2% and 4% increased risk of OSA, respectively. CONCLUSIONS: NC, BF%, WHR, VAI, LAP, and RMR were all independently and positively associated with OSA risk, regardless of age, sex, history of dyslipidemia, and menopausal status. Application of these new indicators could help to more comprehensively reflect and predict the risk of OSA in the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16695-4. BioMed Central 2023-09-21 /pmc/articles/PMC10512644/ /pubmed/37735660 http://dx.doi.org/10.1186/s12889-023-16695-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Deng, Hai
Duan, Xueru
Huang, Jun
Zheng, Murui
Lao, Miaochan
Weng, Fan
Su, Qi-ying
Zheng, Zhen-feng
Mei, Yunting
Huang, Li
Yang, Wen-han
Xing, Xiaohui
Ma, Xiaofeng
Zhao, Wenjing
Liu, Xudong
Association of adiposity with risk of obstructive sleep apnea: a population-based study
title Association of adiposity with risk of obstructive sleep apnea: a population-based study
title_full Association of adiposity with risk of obstructive sleep apnea: a population-based study
title_fullStr Association of adiposity with risk of obstructive sleep apnea: a population-based study
title_full_unstemmed Association of adiposity with risk of obstructive sleep apnea: a population-based study
title_short Association of adiposity with risk of obstructive sleep apnea: a population-based study
title_sort association of adiposity with risk of obstructive sleep apnea: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512644/
https://www.ncbi.nlm.nih.gov/pubmed/37735660
http://dx.doi.org/10.1186/s12889-023-16695-4
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