目的:炎症与肥胖密切相关。然而,很少有研究报道新型炎症标志物之间的关联,例如中性粒细胞与淋巴细胞比率(NLR),全身免疫炎症指数(SII),C反应蛋白(CRP),和C反应蛋白与白蛋白的比率(CAR),和不同的肥胖类型。因此,本研究旨在探讨这些炎症标志物与全身型和腹型肥胖的关系.
方法:这项横断面研究包括从国家健康和营养检查调查获得的2015年至2018年的数据。进行多因素回归分析以确定不同炎症生物标志物与肥胖之间的关联。使用受试者工作特征(ROC)曲线描绘了肥胖类型标记的判别能力,用相应的曲线下面积(AUC)度量来量化这种区分。
结果:调整混杂变量后,发现全身性肥胖与35%的NLR风险增加正相关,SII下降52%,CRP下降941%,和汽车925%,与参照组相比。在模型中,CRP浓度和CAR分别显示0.690和0.889的高AUC值,用于鉴别全身型和腹型肥胖(P<0.05)。
结论:这项研究揭示了肥胖与炎症生物标志物之间的关联,比如NLR,SII,CRP,和汽车。CRP是全身性肥胖最敏感的标志物,而CAR与腹部肥胖的相关性最强。这些发现表明,炎症生物标志物可能有助于评估和管理肥胖相关的健康问题。
OBJECTIVE: Inflammation is strongly correlated with obesity. However, very few studies have reported associations between novel inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), C-reactive protein (CRP), and C-reactive protein-to-albumin ratio (CAR), and different obesity types. Therefore, this study aimed to explore the associations of these inflammatory markers with generalized and abdominal obesity.
METHODS: This cross-sectional study included data from 2015 to 2018 obtained from the National Health and Nutrition Examination Survey. Multivariate regression analysis was performed to determine the associations between different inflammatory biomarkers and obesity. The discriminative capacities of the markers for obesity types were depicted using receiver operating characteristic (ROC) curves, with corresponding area under the curve (AUC) metrics quantifying this discrimination.
RESULTS: After adjusting for confounding variables, generalized obesity was found to be positively associated with an increased risk of NLR by 35%, SII by 52%, CRP by 941%, and CAR by 925%, compared with the reference groups. In the model, the CRP concentration and CAR demonstrated high AUC values of 0.690 and 0.889, respectively, for the identification of generalized and abdominal obesity (P < 0.05).
CONCLUSIONS: This study revealed associations between obesity and inflammatory biomarkers, such as the NLR, SII, CRP, and CAR. CRP is the most sensitive marker for generalized obesity, while CAR shows the strongest association with abdominal obesity. These findings suggest that inflammatory biomarkers may be useful for assessing and managing obesity-related health concerns.