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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BMC
2023-09-01
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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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language | English |
last_indexed | 2024-03-10T16:55:23Z |
publishDate | 2023-09-01 |
publisher | BMC |
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series | BMC Public Health |
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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