四川精神卫生2025，Vol.38Issue(5)：405-413,9.DOI:10.11886/scjsws20250303001
基于网络模型的OSA与非OSA人群BMI-血氧饱和度-睡眠体位-心率变异性的差异研究
Study on the differences in BMI-oxygen saturation-sleep position-heart rate variability between OSA and non-OSA populations based on a network model
罗瑶 1王安林 2王婷婷 1梁雪梅 1向波 1刘可智1
作者信息
- 1. 西南医科大学附属医院,四川 泸州 646000||精神疾病基础与临床泸州市重点实验室,四川 泸州 646000
- 2. 西南医科大学附属医院,四川 泸州 646000||精神疾病基础与临床泸州市重点实验室,四川 泸州 646000||宜宾市第二人民医院,四川 宜宾 644000
- 折叠
摘要
Abstract
Background In recent years,the prevalence of obstructive sleep apnea(OSA)is escalating in China,leading to a serious disease burden.However,previous studies on the influencing factors of OSA,such as obesity and sleep position,were mostly cross-sectional studies.This approach inherently hinders the identification of dynamic interaction mechanism among multiple variables,consequently obstructing the formulation of individualized intervention strategies.Objective To investigate the differences in body mass index(BMI)-oxygen saturation-sleep position-heart rate variability(HRV)network models between OSA and non-OSA populations,thereby offering a reference for the early detection and management of OSA.Methods A total of 384 adult participants undergoing sleep monitoring at the Affiliated Hospital of Southwest Medical University from July 12,2022 to October 11,2023 were included.Subjects were categorized into OSA group(n=203)and control group(n=181)based on an apnea-hypopnea index(AHI)threshold of 5 events per hour.Subsequently,BMI-oxygen saturation-sleep position-HRV networks were constructed and compared between two groups.Results There was no significant difference in the overall edge weight(P=0.55)and overall strength(P=0.28)of the network model between control group and OSA group.Notable differences emerged in both the node connection strength(e.g.,minimum oxygen saturation with BMI,sleep in prone position,and mean RR interval)and node centrality indices(mean oxygen saturation,minimum oxygen saturation,AHI in upright position,AHI in right lateral position and mean heart rate)within the two network models(P<0.05).Conclusion Significant differences are observed between the non-OSA and OSA populations in specific factors,including sleep position,heart rate and oxygen saturation.关键词
阻塞性睡眠呼吸暂停/睡眠监测/BMI/心率变异性/网络分析Key words
Obstructive sleep apnea/Sleep monitoring/Body mass index/Heart rate variability/Network analysis分类
临床医学引用本文复制引用
罗瑶,王安林,王婷婷,梁雪梅,向波,刘可智..基于网络模型的OSA与非OSA人群BMI-血氧饱和度-睡眠体位-心率变异性的差异研究[J].四川精神卫生,2025,38(5):405-413,9.
