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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Cardiovascular Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1609585

Association between cardiometabolic Index and obstructive sleep apnea and the mediating role of smoking: a cross-sectional study

Provisionally accepted
Yifan  ZhouYifan ZhouJinghao  YuJinghao YuHaitao  TanHaitao TanJun  XiaoJun Xiao*
  • Hunan Normal University, Changsha, China

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

The cardiometabolic Index (CMI) serves as a metric for evaluating the functional and metabolic health of the heart. It aids healthcare professionals in assessing cardiac health, predicting the risk of cardiovascular diseases, and determining the effectiveness of various treatments. Despite its significance, there is a scarcity of studies examining the relationship between CMI and obstructive sleep apnea (OSA).Consequently, our objective was to clarify the relationship between CMI and OSA.We conducted a cross-sectional study using data from the 2015-2018 National Health and Nutrition Examination Survey (NHANES), focusing on a cohort of adults aged 20 years and older. To assess the prevalence of OSA, we employed the Sleep Questionnaire (SLQ) included in the NHANES dataset, which identifies OSA based on symptom-based survey items. Various analytical methods were utilized to examine the relationship between CMI and OSA, including multivariate logistic regression, restricted cubic splines (RCS), threshold effect analysis, subgroup analyses, and mediation effect analyses.In this study, we included 3,912 participants, among whom 1,997 were diagnosed with OSA, resulting in a prevalence of 51%. After thoroughly accounting for relevant covariates, a positive correlation between the CMI and OSA was observed [OR (95% CI): 1.31 (1.21, 1.42), p < 0.001]. This association was further corroborated through restricted cubic spline (RCS) analyses. Additionally, threshold effect analyses indicated a significant inflection point, with the prevalence of OSA increasing significantly with CMI and then leveling off. Further subgroup analyses demonstrated a significant interaction based on smoking status (p < 0.05). Finally, mediation analyses confirmed that smoking served as a mediator in the relationship between CMI and OSA, exhibiting a mediation effect size of 0.002115.In the adult population of the United States, a positive nonlinear relationship exists between the CMI and the prevalence of OSA. Smoking status partially mediates this association. Additionally, the findings from the threshold effects analysis indicate that maintaining CMI within an appropriate range can significantly decrease the likelihood of developing OSA.

Keywords: CMI, osa, NHANES, Smoking, Mediating effect

Received: 10 Apr 2025; Accepted: 23 Jun 2025.

Copyright: © 2025 Zhou, Yu, Tan and Xiao. 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: Jun Xiao, Hunan Normal University, Changsha, China

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