Meng Xingru, Wen Haihua, Lian Leshen
Department of Respiratory Medicine, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong, China.
The Ninth Clinical Medical College, Guangzhou University of Chinese Medicine, Dongguan, Guangdong, China.
Front Nutr. 2024 Aug 16;11:1424881. doi: 10.3389/fnut.2024.1424881. eCollection 2024.
The association between TyG-BMI index and the risk of obstructive sleep apnea (OSA), a recently identified biomarker indicating insulin resistance, has yet to be elucidated. Therefore, this study aimed to investigate the association between TyG-BMI index and the risk of OSA using the NHANES database.
Analyses were performed on NHANES data conducted between 2015 and 2018. Logistic regression, stratified analyses, curve-fitting analyses, and threshold effects analyses were utilized to assess the association between TyG-BMI index and the risk of OSA.
The study included 4,588 participants. Multifactorial logistic regression analyses found a significant association between TyG-BMI and increased risk of OSA [OR: 1.54 (CI:1.39-1.70)]. In stratified analyses, age interacted with the association, with TyG-BMI being associated with increased risk of OSA only in a subgroup of subjects younger than 60 years [1.31 (1.14-1.50)], but gender, smoking status, and alcohol use, did not influence the association. The presence of diabetes, hypertension, and cardiovascular diseases also modified the association, but the number of the included subjects with such conditions was significantly lower, therefore the significance of associations was not observed in those subgroups. Additionally, the risk was non-linearly associated, with the inflection point of TyG-BMI at 12.09, after which the lower slope in the risk was observed.
This study demonstrates that elevated levels of the TyG-BMI index are correlated with risk for OSA, underscoring the significance of these findings in facilitating early prevention or timely intervention for OSA.
TyG-BMI指数与阻塞性睡眠呼吸暂停（OSA）风险之间的关联尚未阐明，TyG-BMI指数是一种最近确定的指示胰岛素抵抗的生物标志物。因此，本研究旨在使用美国国家健康与营养检查调查（NHANES）数据库调查TyG-BMI指数与OSA风险之间的关联。
对2015年至2018年期间进行的NHANES数据进行分析。采用逻辑回归、分层分析、曲线拟合分析和阈值效应分析来评估TyG-BMI指数与OSA风险之间的关联。
该研究纳入了4588名参与者。多因素逻辑回归分析发现TyG-BMI与OSA风险增加之间存在显著关联[比值比（OR）：1.54（95%置信区间：1.39-1.70）]。在分层分析中，年龄与这种关联存在交互作用，仅在60岁以下的受试者亚组中，TyG-BMI与OSA风险增加相关[1.31（1.14-1.50）]，但性别、吸烟状况和饮酒情况并未影响这种关联。糖尿病、高血压和心血管疾病的存在也改变了这种关联，但纳入的患有这些疾病的受试者数量显著较少，因此在这些亚组中未观察到关联的显著性。此外，风险呈非线性关联，TyG-BMI的拐点为12.09，之后风险斜率降低。
本研究表明，TyG-BMI指数升高与OSA风险相关，强调了这些发现对促进OSA的早期预防或及时干预的重要性。
