Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data

IF 3 2区医学 Q2 CLINICAL NEUROLOGY

Nature and Science of Sleep Pub Date : 2024-02-28 DOI:10.2147/nss.s433514

Renzhe Tang, Chong Li, Dongmei Di, Lin Zhou, Yongxiang Qian, Chaohua Qiang, Chao Ma, Rui Zhou, Bin Wang, Min Wang

{"title":"Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data","authors":"Renzhe Tang, Chong Li, Dongmei Di, Lin Zhou, Yongxiang Qian, Chaohua Qiang, Chao Ma, Rui Zhou, Bin Wang, Min Wang","doi":"10.2147/nss.s433514","DOIUrl":null,"url":null,"abstract":"Objective: Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS). Material and Methods: Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis. Results: A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS. Conclusion: The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease. Keywords: obstructive sleep apnea, metabolic syndrome, cardiovascular disease, NHANES, Mendelian randomization ","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s433514","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS).
Material and Methods: Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis.
Results: A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS.
Conclusion: The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.

Keywords: obstructive sleep apnea, metabolic syndrome, cardiovascular disease, NHANES, Mendelian randomization

查看原文本刊更多论文

从真实世界的数据中评估阻塞性睡眠呼吸暂停与代谢综合征之间的关系

目的：阻塞性睡眠呼吸暂停（OSA阻塞性睡眠呼吸暂停（OSA）是一种以呼吸紊乱和通气不足为特征的疾病。与此同时，代谢综合征（MetS）主要与 OSA 同时存在，但两者之间的关联尚未完全阐明。因此，本研究旨在利用美国国家健康与营养调查（NHANES）数据库的数据和全基因组关联研究（GWAS）的汇总数据，揭示 OSA 与 MetS 之间的关系：利用美国国家健康与营养调查（NHANES）数据库的数据和全基因组关联分析（GWAS）的汇总数据进行单变量和多变量逻辑回归分析，以评估 OSA 与 MetS 之间的相关性，并利用多变量逻辑回归模型对潜在的混杂因素进行调整。采用双样本孟德尔随机法（MR）评估 OSA 与 MetS 之间的因果关系。分析的主要方法是方差加权反比法：结果：多变量逻辑回归分析表明，OSA 与 MetS 呈正相关，OSA 与较高的全因死亡率和心血管死亡率相关。OSA 与腹部肥胖、高血压、高血糖、高甘油三酯和低高密度脂蛋白密切相关。此外，除高甘油三酯血症外，磁共振分析表明，基因驱动的 OSA 与 MetS 风险较高有因果关系：结论：OSA 与 Mets 呈正相关，全因死亡率和心血管死亡率较高与 OSA 相关。MR分析进一步证实了OSA与代谢综合征和心血管疾病的因果关系。关键词：阻塞性睡眠呼吸暂停；代谢综合征；心血管疾病；NHANES；孟德尔随机化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

期刊介绍： Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.