Psychology of Traditional Chinese Medicine, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, 150006, China.
College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, 250000, China.
Sci Rep. 2024 Nov 28;14(1):29578. doi: 10.1038/s41598-024-81191-7.
The occurrence of obstructive sleep apnea (OSA) syndrome is related to not only the overall obesity, but also the local distribution of fat. Therefore, we introduced anthropometric indicators to comprehensively assess the risks associated with obesity, including body mass index (BMI), which is used to assess the overall obesity, together with waist circumference (WC), body roundness index (BRI), visceral adiposity index (VAI) and lipid accumulation product (LAP), all of which reflect fat distribution. This cross-sectional study analyzed data from the 2005-2008 and 2015-2018 NHANES cycles, comprising 8966 participants. Logistic regression models were used to examine the associations between anthropometric indices and OSA, adjusting for relevant covariates. Receiver operating characteristic (ROC) curves were constructed, and values of the area under the curve (AUC) were calculated to assess diagnostic performance. AUC comparisons between men and women were conducted using the DeLong's test. After adjusting for covariates, WC and BMI emerged as the strongest diagnostic indicators of OSA risk. A ROC analysis revealed that WC and BMI had higher diagnostic performance performance among women (AUC: WC: 0.651, BMI: 0.653) than men (AUC: WC: 0.616, BMI: 0.619). Other indices demonstrated weaker diagnostic abilities. Both WC and BMI demonstrated a strong diagnostic ability for OSA across both sexes, with slightly better performance observed among women. These findings suggest that WC and BMI are practical and effective tools for the early detection, risk stratification and management of OSA in clinical practices.
阻塞性睡眠呼吸暂停（OSA）综合征的发生不仅与全身肥胖有关，还与脂肪的局部分布有关。因此，我们引入了人体测量学指标来全面评估肥胖相关风险，包括用于评估全身肥胖的体重指数（BMI），以及腰围（WC）、体圆度指数（BRI）、内脏脂肪指数（VAI）和脂质蓄积产物（LAP）等反映脂肪分布的指标。本横断面研究分析了 2005-2008 年和 2015-2018 年 NHANES 周期的数据，共纳入 8966 名参与者。使用逻辑回归模型，在调整相关协变量后，检验了人体测量学指标与 OSA 的关联。构建受试者工作特征（ROC）曲线，并计算曲线下面积（AUC）值以评估诊断性能。使用 DeLong's 检验比较男女之间的 AUC 值。在调整协变量后，WC 和 BMI 成为 OSA 风险的最强诊断指标。ROC 分析显示，WC 和 BMI 在女性中的诊断性能（AUC：WC：0.651，BMI：0.653）优于男性（AUC：WC：0.616，BMI：0.619）。其他指标的诊断能力较弱。WC 和 BMI 在两性中均对 OSA 具有较强的诊断能力，女性的表现略好。这些发现表明，WC 和 BMI 是临床实践中早期发现、风险分层和管理 OSA 的实用有效工具。
