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Abstract：
BACKGROUND: The metabolic score for visceral fat (METS-VF) quantifies the cumulative burden of visceral and intra-abdominal adipose tissues. However, the relationship between the METS-VF and carotid atherosclerosis (CAS) has not been extensively explored. Therefore, this study aimed to investigate the association between the METS-VF and CAS.
METHODS: This cross-sectional study enrolled 7089 Chinese adults who underwent physical examinations at the Zhenhai Lianhua Hospital, Zhejiang, China, in 2020. Multivariable logistic regression analysis was used to explore the linear relationship between METS-VF and CAS. Generalised additive models (GAM) were employed to evaluate potential nonlinear associations. The inflection points of METS-VF were determined using segmented logistic regression analysis optimised for maximum likelihood ratios and recursive algorithms.
RESULTS: Multivariable logistic regression analysis revealed a positive correlation between METS-VF and CAS (odds ratio [OR]: 1.824, 95% confidence interval [CI]: 1.753-1.899; P < 0.001). The GAM analysis confirmed a nonlinear association between them [effective degrees of freedom: 4.803, χ2: 876.7, P < 0.001], with an inflection point at a METS-VF of 8.09 (P < 0.001 for log-likelihood ratio test). Below this inflection point, METS-VF exhibited a significant positive association with CAS risk (OR: 1.874, 95% CI: 1.796-1.954; P < 0.001). Conversely, no significant association was observed when METS-VF ≥ 8.09 (OR: 0.998, 95% CI: 0.786-1.268; P = 0.989).
CONCLUSIONS: METS-VF and CAS demonstrated a positive non-linear correlation, with the curve indicating a saturation effect at METS-VF = 8.09.
METHODS: This cross-sectional study enrolled 7089 Chinese adults who underwent physical examinations at the Zhenhai Lianhua Hospital, Zhejiang, China, in 2020. Multivariable logistic regression analysis was used to explore the linear relationship between METS-VF and CAS. Generalised additive models (GAM) were employed to evaluate potential nonlinear associations. The inflection points of METS-VF were determined using segmented logistic regression analysis optimised for maximum likelihood ratios and recursive algorithms.
RESULTS: Multivariable logistic regression analysis revealed a positive correlation between METS-VF and CAS (odds ratio [OR]: 1.824, 95% confidence interval [CI]: 1.753-1.899; P < 0.001). The GAM analysis confirmed a nonlinear association between them [effective degrees of freedom: 4.803, χ2: 876.7, P < 0.001], with an inflection point at a METS-VF of 8.09 (P < 0.001 for log-likelihood ratio test). Below this inflection point, METS-VF exhibited a significant positive association with CAS risk (OR: 1.874, 95% CI: 1.796-1.954; P < 0.001). Conversely, no significant association was observed when METS-VF ≥ 8.09 (OR: 0.998, 95% CI: 0.786-1.268; P = 0.989).
CONCLUSIONS: METS-VF and CAS demonstrated a positive non-linear correlation, with the curve indicating a saturation effect at METS-VF = 8.09.
摘要：
背景：内脏脂肪代谢评分（METS-VF）量化内脏和腹内脂肪组织的累积负荷。然而,尚未广泛探讨METS-VF与颈动脉粥样硬化(CAS)之间的关系.因此,本研究旨在探讨METS-VF与CAS之间的关联.
方法：这项横断面研究纳入了在镇海联华医院接受体检的7089名中国成年人，浙江,中国,在2020年。采用多变量logistic回归分析METS-VF与CAS的线性关系。广义加性模型（GAM）用于评估潜在的非线性关联。使用针对最大似然比和递归算法优化的分段逻辑回归分析确定METS-VF的拐点。
结果：多变量逻辑回归分析显示METS-VF与CAS之间呈正相关（比值比[OR]：1.824，95%置信区间[CI]：1.753-1.899；P<0.001）。GAM分析证实了它们之间的非线性关联[有效自由度：4.803，χ2：876.7，P<0.001]，METS-VF的拐点为8.09（对数似然比检验P<0.001）。在这个拐点以下，METS-VF与CAS风险呈显著正相关(OR:1.874,95%CI:1.796-1.954;P<0.001)。相反，当METS-VF≥8.09时,未观察到显著关联(OR:0.998,95%CI:0.786-1.268;P=0.989).
结论：METS-VF和CAS呈正非线性相关，曲线表明在METS-VF=8.09时存在饱和效应。
方法：这项横断面研究纳入了在镇海联华医院接受体检的7089名中国成年人，浙江,中国,在2020年。采用多变量logistic回归分析METS-VF与CAS的线性关系。广义加性模型（GAM）用于评估潜在的非线性关联。使用针对最大似然比和递归算法优化的分段逻辑回归分析确定METS-VF的拐点。
结果：多变量逻辑回归分析显示METS-VF与CAS之间呈正相关（比值比[OR]：1.824，95%置信区间[CI]：1.753-1.899；P<0.001）。GAM分析证实了它们之间的非线性关联[有效自由度：4.803，χ2：876.7，P<0.001]，METS-VF的拐点为8.09（对数似然比检验P<0.001）。在这个拐点以下，METS-VF与CAS风险呈显著正相关(OR:1.874,95%CI:1.796-1.954;P<0.001)。相反，当METS-VF≥8.09时,未观察到显著关联(OR:0.998,95%CI:0.786-1.268;P=0.989).
结论：METS-VF和CAS呈正非线性相关，曲线表明在METS-VF=8.09时存在饱和效应。
