He JianHua, Chen Lei
The Department of Orthopaedic Surgery, Southeast Hospital of Chongqing, Chongqing, 401336, China.
Sci Rep. 2025 Jan 2;15(1):258. doi: 10.1038/s41598-024-84034-7.
This study aimed to explore the synergistic effect of lipid accumulation product (LAP) and visceral adiposity index (VAI) on diabetes risk, and to evaluate the potential associations of these novel metabolic markers with diabetes. The current cross-sectional survey utilised data from the 2015-2018 National Health and Nutrition Examination Survey (NHANES). The relationship between LAP and VAI levels and diabetes was examined using multiple logistic regression analysis. Moreover, threshold effects analysis and smoothed curve fitting were used as analytical techniques. The diabetes group exhibited significantly higher LAP (90.1 ± 84.1) and VAI (2.8 ± 2.8) levels compared to the non-diabetes group (p < 0.0001).After adjusting for confounding factors, LAP (OR = 1.01, 95% CI: 1.00-1.01, p < 0.0001) and VAI (OR = 1.22, 95% CI: 1.16-1.28, p < 0.0001) were independently associated with diabetes risk. The interaction term (LAP x VAI) showed a significant synergistic effect (OR = 1.01, 95% CI: 1.00-1.07, p = 0.0042).Diabetes risk significantly increased when LAP was below 97.70 (OR = 1.03, 95% CI: 1.02-1.03, p < 0.0001) and when VAI was below 3.76 (OR = 1.88, 95% CI: 1.69-2.08, p < 0.0001). According to this study, LAP and VAI are independent predictors of diabetes risk and exhibit a significant synergistic effect. Combining these indices may improve the accuracy of diabetes screening.
本研究旨在探讨脂质蓄积产物(LAP)和内脏脂肪指数(VAI)对糖尿病风险的协同作用,并评估这些新型代谢标志物与糖尿病之间的潜在关联。当前的横断面调查利用了2015 - 2018年国家健康与营养检查调查(NHANES)的数据。使用多重逻辑回归分析来检验LAP和VAI水平与糖尿病之间的关系。此外,采用阈值效应分析和平滑曲线拟合作为分析技术。与非糖尿病组相比,糖尿病组的LAP(90.1±84.1)和VAI(2.8±2.8)水平显著更高(p<0.0001)。在调整混杂因素后,LAP(比值比[OR]=1.01,95%置信区间[CI]:1.00 - 1.01,p<0.0001)和VAI(OR = 1.22,95% CI:1.16 - 1.28,p<0.0001)与糖尿病风险独立相关。交互项(LAP×VAI)显示出显著的协同效应(OR = 1.01,95% CI:1.00 - 1.07,p = 0.0042)。当LAP低于97.70时(OR = 1.03,95% CI:1.02 - 1.03,p<0.0001)以及当VAI低于3.76时(OR = 1.88,95% CI:1.69 - 2.08,p<0.0001),糖尿病风险显著增加。根据本研究,LAP和VAI是糖尿病风险的独立预测因子,并表现出显著的协同效应。结合这些指标可能会提高糖尿病筛查的准确性。