Department of Orthopaedics, The First People's Hospital of Zhaoqing, Zhaoqing, 526060, China.
Sci Rep. 2024 Sep 10;14(1):21169. doi: 10.1038/s41598-024-72218-0.
The Visceral Adiposity Index (VAI) assesses visceral fat and related metabolic risks. However, its precise correlation with sarcopenia is unclear. This study aimed to examine this correlation. A cross-sectional analysis was conducted using NHANES data from 2011 to 2018. To correct VAI skewness, a logarithmic transformation was applied. Multiple covariates were included, and logistic regression was employed to explore the relationship between VAI and sarcopenia. Restricted cubic spline (RCS) and threshold saturation analyses were used to investigate the nonlinear relationship. Subgroup analyses evaluated the effects of various stratification factors. Sensitivity and additive analyses tested the robustness of the findings. The study included 4688 individuals. Participants with sarcopenia had significantly higher VAI values. Logistic regression revealed a significant positive connection between Log VAI and sarcopenia (OR 2.09, 95% CI 1.80-2.43) after adjusting for variables. RCS analysis showed a nonlinear correlation, identifying a breakpoint at VAI = 1.51. To the left of this breakpoint, each unit increase in VAI significantly correlated with a higher likelihood of sarcopenia (OR 2.54, 95% CI 1.74-3.79); to the right, increases in VAI did not significantly affect prevalence. Subgroup analyses suggested VAI as an independent risk factor. Sensitivity and additive analyses confirmed the main findings' robustness. Among American adults, the VAI is significantly associated with sarcopenia, with higher VAI values potentially increasing the prevalence of sarcopenia. Monitoring VAI is critical for early identification of high-risk individuals and interventions to delay or minimize the onset and progression of sarcopenia.
内脏脂肪指数(VAI)评估内脏脂肪和相关代谢风险。然而,其与肌肉减少症的确切相关性尚不清楚。本研究旨在探讨这种相关性。采用 2011 年至 2018 年 NHANES 数据进行横断面分析。为了校正 VAI 的偏态,应用了对数转换。纳入了多个协变量,并采用逻辑回归探讨 VAI 与肌肉减少症之间的关系。采用受限立方样条(RCS)和阈值饱和分析探讨非线性关系。亚组分析评估了各种分层因素的影响。敏感性和附加分析测试了结果的稳健性。研究纳入了 4688 名个体。患有肌肉减少症的参与者 VAI 值显著较高。在调整变量后,逻辑回归显示 Log VAI 与肌肉减少症之间存在显著的正相关(OR 2.09,95%CI 1.80-2.43)。RCS 分析显示出非线性相关性,确定 VAI=1.51 为拐点。在此拐点左侧,VAI 每增加一个单位,与肌肉减少症的发生几率显著升高相关(OR 2.54,95%CI 1.74-3.79);在此拐点右侧,VAI 的增加对患病率没有显著影响。亚组分析表明 VAI 是一个独立的危险因素。敏感性和附加分析证实了主要发现的稳健性。在美国成年人中,VAI 与肌肉减少症显著相关,较高的 VAI 值可能会增加肌肉减少症的患病率。监测 VAI 对于早期识别高危个体以及干预以延迟或最小化肌肉减少症的发生和进展至关重要。