PDF(Pubmed)
Abstract：
BACKGROUND: Obesity refers to a significant contributor to the development of obstructive sleep apnea (OSA). Early prediction of OSA usually leads to better treatment outcomes, and this study aims to employ novel metabolic markers, visceral adiposity index (VAI), and lipid accumulation product (LAP) to evaluate the relationship to OSA.
METHODS: The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2015 and 2018. To examine the correlation between LAP and VAI levels and OSA, multivariate logistic regression analysis was adopted. In addition, various analytical methods were applied, including subgroup analysis, smooth curve fitting, and threshold effect analysis.
RESULTS: Among totally 3932 participants, 1934 were included in the OSA group. The median (Q1-Q3) values of LAP and VAI for the participants were 40.25 (21.51-68.26) and 1.27 (0.75-2.21), respectively. Logistic regression studies indicated a positive correlation between LAP, VAI, and OSA risk after adjusting for potential confounding variables. Subgroup analysis revealed a stronger correlation between LAP, VAI levels, and OSA among individuals aged < 60 years. Through smooth curve fitting, specific saturation effects of LAP, VAI, and BMD were identified, with inflection points at 65.684 and 0.428, respectively.
CONCLUSIONS: This study demonstrates that elevated levels of LAP and VAI increase the risk of OSA, suggesting their potential as predictive markers for OSA and advocating for dietary and exercise interventions to mitigate OSA risk in individuals with high LAP and VAI levels.
METHODS: The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2015 and 2018. To examine the correlation between LAP and VAI levels and OSA, multivariate logistic regression analysis was adopted. In addition, various analytical methods were applied, including subgroup analysis, smooth curve fitting, and threshold effect analysis.
RESULTS: Among totally 3932 participants, 1934 were included in the OSA group. The median (Q1-Q3) values of LAP and VAI for the participants were 40.25 (21.51-68.26) and 1.27 (0.75-2.21), respectively. Logistic regression studies indicated a positive correlation between LAP, VAI, and OSA risk after adjusting for potential confounding variables. Subgroup analysis revealed a stronger correlation between LAP, VAI levels, and OSA among individuals aged < 60 years. Through smooth curve fitting, specific saturation effects of LAP, VAI, and BMD were identified, with inflection points at 65.684 and 0.428, respectively.
CONCLUSIONS: This study demonstrates that elevated levels of LAP and VAI increase the risk of OSA, suggesting their potential as predictive markers for OSA and advocating for dietary and exercise interventions to mitigate OSA risk in individuals with high LAP and VAI levels.
摘要：
背景：肥胖是阻塞性睡眠呼吸暂停（OSA）发展的重要原因。OSA的早期预测通常会导致更好的治疗结果，这项研究旨在使用新的代谢标志物，内脏肥胖指数（VAI），和脂质蓄积产物（LAP）来评估与OSA的关系。
方法：当前横断面调查中使用的数据来自国家健康与营养检查调查（NHANES），这是在2015年至2018年之间进行的。为了检查LAP和VAI水平与OSA之间的相关性，采用多因素logistic回归分析。此外,应用了各种分析方法，包括亚组分析，平滑曲线拟合，和阈值效应分析。
结果：在总共3932名参与者中，1934年被列入OSA组。参与者的LAP和VAI的中位数（Q1-Q3）分别为40.25（21.51-68.26）和1.27（0.75-2.21），分别。Logistic回归研究表明，LAP、VAI,调整潜在混杂变量后的OSA风险。亚组分析显示LAP之间有更强的相关性，VAI级别,和OSA在年龄<60岁的个体中。通过平滑的曲线拟合，LAP的特定饱和效应，VAI,并确定了BMD，拐点分别为65.684和0.428。
结论：这项研究表明，LAP和VAI水平升高会增加OSA的风险，提示其作为OSA预测标志物的潜力，并倡导饮食和运动干预措施，以降低高LAP和VAI水平个体的OSA风险。
方法：当前横断面调查中使用的数据来自国家健康与营养检查调查（NHANES），这是在2015年至2018年之间进行的。为了检查LAP和VAI水平与OSA之间的相关性，采用多因素logistic回归分析。此外,应用了各种分析方法，包括亚组分析，平滑曲线拟合，和阈值效应分析。
结果：在总共3932名参与者中，1934年被列入OSA组。参与者的LAP和VAI的中位数（Q1-Q3）分别为40.25（21.51-68.26）和1.27（0.75-2.21），分别。Logistic回归研究表明，LAP、VAI,调整潜在混杂变量后的OSA风险。亚组分析显示LAP之间有更强的相关性，VAI级别,和OSA在年龄<60岁的个体中。通过平滑的曲线拟合，LAP的特定饱和效应，VAI,并确定了BMD，拐点分别为65.684和0.428。
结论：这项研究表明，LAP和VAI水平升高会增加OSA的风险，提示其作为OSA预测标志物的潜力，并倡导饮食和运动干预措施，以降低高LAP和VAI水平个体的OSA风险。
