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

Abstract 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 cros...

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Main Authors: Hai Deng, Xueru Duan, Jun Huang, Murui Zheng, Miaochan Lao, Fan Weng, Qi-ying Su, Zhen-feng Zheng, Yunting Mei, Li Huang, Wen-han Yang, Xiaohui Xing, Xiaofeng Ma, Wenjing Zhao, Xudong Liu
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-023-16695-4
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author Hai Deng
Xueru Duan
Jun Huang
Murui Zheng
Miaochan Lao
Fan Weng
Qi-ying Su
Zhen-feng Zheng
Yunting Mei
Li Huang
Wen-han Yang
Xiaohui Xing
Xiaofeng Ma
Wenjing Zhao
Xudong Liu
author_facet Hai Deng
Xueru Duan
Jun Huang
Murui Zheng
Miaochan Lao
Fan Weng
Qi-ying Su
Zhen-feng Zheng
Yunting Mei
Li Huang
Wen-han Yang
Xiaohui Xing
Xiaofeng Ma
Wenjing Zhao
Xudong Liu
author_sort Hai Deng
collection DOAJ
description Abstract 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.
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spelling doaj.art-dd22553d5ba2493d8dee4938adb554502023-11-20T11:10:37ZengBMCBMC Public Health1471-24582023-09-0123111210.1186/s12889-023-16695-4Association of adiposity with risk of obstructive sleep apnea: a population-based studyHai Deng0Xueru Duan1Jun Huang2Murui Zheng3Miaochan Lao4Fan Weng5Qi-ying Su6Zhen-feng Zheng7Yunting Mei8Li Huang9Wen-han Yang10Xiaohui Xing11Xiaofeng Ma12Wenjing Zhao13Xudong Liu14Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Science, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Sun Yat-Sen UniversityDepartment of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Science, Southern Medical UniversityFaculty of Health Sciences, University of MacauDepartment of Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou Yuexiu District Center for Disease Control and PreventionDadong Street Community Health Service CenterNancun Community Health Service CenterSchool of Public Health, Guangdong Pharmaceutical UniversitySchool of Public Health, Guangdong Pharmaceutical UniversitySchool of Public Health, Guangdong Pharmaceutical UniversityGuangdong Provincial Engineering Technology Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical UniversityQinghai Province Cardiovascular and Cerebrovascular Disease Specialist HospitalSchool of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan DistrictSchool of Public Health, Guangdong Pharmaceutical UniversityAbstract 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.https://doi.org/10.1186/s12889-023-16695-4AdiposityAbdominal obesityObstructive sleep apnea
spellingShingle Hai Deng
Xueru Duan
Jun Huang
Murui Zheng
Miaochan Lao
Fan Weng
Qi-ying Su
Zhen-feng Zheng
Yunting Mei
Li Huang
Wen-han Yang
Xiaohui Xing
Xiaofeng Ma
Wenjing Zhao
Xudong Liu
Association of adiposity with risk of obstructive sleep apnea: a population-based study
BMC Public Health
Adiposity
Abdominal obesity
Obstructive sleep apnea
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 Adiposity
Abdominal obesity
Obstructive sleep apnea
url https://doi.org/10.1186/s12889-023-16695-4
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