Luo Yao,Wang Anlin,Wang Tingting,Liang Xuemei,Xiang Bo,Liu Kezhi,Study on the differences in BMI-oxygen saturation-sleep position-heart rate variability between OSA and non-OSA populations based on a network model[J].SICHUAN MENTAL HEALTH,2025,(5):405-413

Study on the differences in BMI-oxygen saturation-sleep position-heart rate variability between OSA and non-OSA populations based on a network model

DOI：10.11886/scjsws20250303001

English keywords:Obstructive sleep apnea Sleep monitoring Body mass index Heart rate variability Network analysis

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Author Name	Affiliation	Postcode
Luo Yao	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China	646000
Wang Anlin	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China The Second People's Hospital of Yibin, Yibin 644000, China	644000
Wang Tingting	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China	646000
Liang Xuemei	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China	646000
Xiang Bo	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China	646000
Liu Kezhi^*	Affiliated Hospital of Southwest Medical University, Luzhou 646000, China Luzhou Key Laboratory of Basic and Clinical Psychiatric Disorders, Luzhou 646000, China	646000

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English 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.

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