新型体脂指标对云南彝族人群代谢综合征的预测价值研究

Study on the predictive value of innovative adipose indexes for metabolic syndrome of Yi people in Yunnan Province

目的 对比新型体脂指标与传统体脂指标对云南彝族代谢综合征(MS)患病风险的预测价值。方法 2018年11月—2023年9月期间通过随机整群抽样选取云南3个彝族聚居地居民共508名作为研究对象,收集传统体脂指标腰围、臀围、BMI、腰高比(WHtR)及相关化验指标,计算新型体脂指标中国内脏脂肪指数(CVAI)、内脏脂肪指数(VAI)、脂质蓄积指数(LAP),进行统计分析。结果 云南彝族人群代谢综合征的患病率约为20.01%(102/508)。Spearman相关性分析显示MS与各体脂指标均有相关性。ROC曲线分析显示,各体脂指标的曲线下面积均>0.7,其中CVAI的AUC最大(AUC=0.872);CVAI、VAI、LAP最佳截断值分别为120.20、2.02、56.36;在不同性别亚组及体质量亚组中,新型体脂指标的预测价值均优于传统指标。根据ROC曲线的最佳截断值定义分组为C0组(CVAI<120.20)、C1组(CVAI≥120.20),V0组(VAI<2.02)、V1组(VAI≥2.02),L0组(LAP<56.36)、L1组(LAP≥56.36);多因素logistic回归分析显示,C1组发生MS的风险为C0组的8.484倍;V1组发生MS的风险为V0组的13.602倍;C1组发生MS的风险为C0组的4.916倍。结论 新型体脂指标预测云南彝族人群MS具有一定的优势,但在相关血脂指标缺失时,传统指标也有一定的价值;当新型体脂指标超过最佳截断值时,MS的患病风险将显著升高。

Objective To compare the predictive value of innovative and traditional adiposity indices for metabolic syndrome(MS) risk in the Yi people of Yunnan Province.Methods A total of 508 residents from 3 Yi settlements in Yunnan Province were selected by random cluster sampling during November 2018 to September 2023.The traditional adipose indexes of waist circumference,hip circumference,BMI,waist-to-height ratio(WHtR) and related laboratory indexes were collected,and the innovative adipose indexes of China visceral adipose index(CVAI),visceral adipose index(VAI) and lipid accumulation product(LAP) were calculated.Statistical analysis was performed.Results The prevalence of metabolic syndrome was 20.01%(102/508) in the in the Yi population of Yunnan Province.Spearman correlation analysis showed that MS was significantly correlated with all adiposity indices.ROC curve analysis showed that the area under the curve of each adipose indexes was greater than 0.7,and the AUC of CVAI was the largest(AUC=0.872).The optimal cut-off values of CVAI,VAI and LAP were 120.20,2.02 and 56.36,respectively.In different gender and body mass subgroups,the predictive value of the innovative adipose indexes is better than that of the traditional indices.According to the optimal cut-off value of the ROC curve,the groups were defined as C0(CVAI<120.20),C1(CVAI≥120.20),V0(VAI<2.02),V1(VAI≥2.02),L0(LAP<56.36) and L1(LAP≥56.36),Multivariate logistic regression analysis showed that the risk of MS was 8.484 times higher in group C1 than in group C0.The risk of MS was 13.602 times higher in group V1 than in group V0.The risk of MS was 4.916 times higher in group C1 than in group C0.Conclusion The innovative adipose index has certain advantages in predicting MS in the Yi population of Yunnan Province,but the traditional index is also valuable when the relevant lipid index is missing.When the innovative adipose indexes exceed the optimal cut-off value,the risk of MS is significantly increased.