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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Nutrition and Metabolism
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1545140

Non-linear association of the metabolic score for insulin resistance with obstructive sleep apnea: a cross-sectional study from NHANES 2015-2018

Provisionally accepted
Zhimao Cai Zhimao Cai Jiachen Li Jiachen Li Hui Peng Hui Peng Ye Ye Ye Ye Sixia Chen Sixia Chen Lingli Zeng Lingli Zeng Jiashuang Lin Jiashuang Lin Weifeng Chen Weifeng Chen *
  • Shenzhen Second People's Hospital, Shenzhen, China

The final, formatted version of the article will be published soon.

    Background: The relationship between the Metabolic Score for Insulin Resistance (METS-IR), a novel index integrating multiple metabolic parameters, and the risk of obstructive sleep apnea (OSA) remains under explored. Methods: Analyses were conducted on data from 2,348 participants included in the National Health and Nutrition Examination Survey(NHANES) data from 2015 to 2018. Logistic regression, stratified analyses, curve-fitting analyses, and threshold effects analyses were employed to evaluate the association between METS-IR and the risk of OSA. Results: Multifactorial logistic regression analyses revealed a significant positive correlation between METS-IR and the risk of OSA [OR: 1.05 (95% CI: 1.04-1.06)]. Stratified analyses showed consistent associations across various subgroups, including sex, race, age, marital status, education level, poverty income ratio, physical activity, alcohol use, smoking status, diabetes mellitus, hypertension, and cardiovascular disease. Nonlinear analysis identified an inflection point at METS-IR 46.65. On the left of the inflection point, the risk of OSA increased significantly, with each unit increase in obstructive sleep apnea1, metabolic score for insulin resistance2, insulin resistance3, NHANES4, cross-sectional study5.

    Keywords: Obstructive Sleep Apnea1, metabolic score for insulin resistance2, insulin resistance3, NHANES4, cross-sectional study5 The study included 2

    Received: 14 Dec 2024; Accepted: 10 Feb 2025.

    Copyright: © 2025 Cai, Li, Peng, Ye, Chen, Zeng, Lin and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Weifeng Chen, Shenzhen Second People's Hospital, Shenzhen, China

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