Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study

Abstract The Cardiometabolic Index (CMI) is a new indicator of visceral fat distribution and dysfunction that can be calculated using lipid parameters, waist circumference, and height. The relationship between CMI and Obstructive Sleep Apnea (OSA) remains unclear. This cross-sectional study explored...

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Main Authors: Mingyue Cui, Xianchao Xiao, Xue Zhao, Xiaokun Gang, Guixia Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-03186-2
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author Mingyue Cui
Xianchao Xiao
Xue Zhao
Xiaokun Gang
Guixia Wang
author_facet Mingyue Cui
Xianchao Xiao
Xue Zhao
Xiaokun Gang
Guixia Wang
author_sort Mingyue Cui
collection DOAJ
description Abstract The Cardiometabolic Index (CMI) is a new indicator of visceral fat distribution and dysfunction that can be calculated using lipid parameters, waist circumference, and height. The relationship between CMI and Obstructive Sleep Apnea (OSA) remains unclear. This cross-sectional study explored the association between CMI and OSA using nationally representative data from The National Health and Nutrition Examination Survey database, spanning the periods from 2005 to 2008 and 2015 to 2018. OSA was self-reported based on questionnaire responses. Weighted logistic regression and restricted cubic splines were used to investigate the relationship between CMI and OSA. In addition, subgroup analyses and interaction tests were performed to study the robustness of the association across different populations. Finally, a receiver operating characteristic curve (ROC) was used to determine the predictive power of the index for the OSA. A total of 8460 participants were enrolled in the study. In the fully adjusted model, multivariate regression revealed a significant relationship between CMI and OSA (OR = 1.75, 95% CI 1.46–2.10). Interaction tests, revealed no significant effects of age, sex, body mass index, and race on the relationship between CMI and OSA. The area under the curve (AUC) of the ROC curve was 0.605, indicating that CMI has a predictive value for the OSA. This study provides evidence that CMI is associated with OSA in the adult population of the United States. CMI may be an important predictor of OSA, which provides a new perspective for the future assessment and treatment of individuals with odds of OSA.
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spelling doaj-art-7f514cf96cf343deb6f37833d0be7b382025-08-20T03:04:39ZengNature PortfolioScientific Reports2045-23222025-08-011511910.1038/s41598-025-03186-2Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional studyMingyue Cui0Xianchao Xiao1Xue Zhao2Xiaokun Gang3Guixia Wang4Department of Endocrinology and Metabolism, The First Hospital of Jilin UniversityDepartment of Endocrinology and Metabolism, The First Hospital of Jilin UniversityDepartment of Endocrinology and Metabolism, The First Hospital of Jilin UniversityDepartment of Endocrinology and Metabolism, The First Hospital of Jilin UniversityDepartment of Endocrinology and Metabolism, The First Hospital of Jilin UniversityAbstract The Cardiometabolic Index (CMI) is a new indicator of visceral fat distribution and dysfunction that can be calculated using lipid parameters, waist circumference, and height. The relationship between CMI and Obstructive Sleep Apnea (OSA) remains unclear. This cross-sectional study explored the association between CMI and OSA using nationally representative data from The National Health and Nutrition Examination Survey database, spanning the periods from 2005 to 2008 and 2015 to 2018. OSA was self-reported based on questionnaire responses. Weighted logistic regression and restricted cubic splines were used to investigate the relationship between CMI and OSA. In addition, subgroup analyses and interaction tests were performed to study the robustness of the association across different populations. Finally, a receiver operating characteristic curve (ROC) was used to determine the predictive power of the index for the OSA. A total of 8460 participants were enrolled in the study. In the fully adjusted model, multivariate regression revealed a significant relationship between CMI and OSA (OR = 1.75, 95% CI 1.46–2.10). Interaction tests, revealed no significant effects of age, sex, body mass index, and race on the relationship between CMI and OSA. The area under the curve (AUC) of the ROC curve was 0.605, indicating that CMI has a predictive value for the OSA. This study provides evidence that CMI is associated with OSA in the adult population of the United States. CMI may be an important predictor of OSA, which provides a new perspective for the future assessment and treatment of individuals with odds of OSA.https://doi.org/10.1038/s41598-025-03186-2Cardiometabolic indexObstructive sleep apneaNHANES
spellingShingle Mingyue Cui
Xianchao Xiao
Xue Zhao
Xiaokun Gang
Guixia Wang
Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
Scientific Reports
Cardiometabolic index
Obstructive sleep apnea
NHANES
title Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
title_full Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
title_fullStr Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
title_full_unstemmed Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
title_short Association between cardiometabolic index and self-reported symptoms of obstructive sleep apnea: a cross-sectional study
title_sort association between cardiometabolic index and self reported symptoms of obstructive sleep apnea a cross sectional study
topic Cardiometabolic index
Obstructive sleep apnea
NHANES
url https://doi.org/10.1038/s41598-025-03186-2
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