相位角与超重/肥胖患者糖脂代谢异常的相关性及其预测价值研究OA

Background Overweight/obese individuals are prone to concomitant glucose and lipid metabolism disorders,which may further induce cardiovascular and cerebrovascular diseases.Therefore,identifying simple,effective,and cost-efficient methods for early detection of glucose and lipid metabolism abnormalities in overweight/obese populations is of significant importance.Phase angle(PhA)holds potential clinical value due to its non-invasive nature,simplicity,and ability to reflect health status.Objective To investigate the correlation between PhA and glucose/lipid metabolism abnormalities in overweight/obese patients,as well as its predictive value.Methods A total of 1 034 overweight/obese patients undergoing health examinations at Xiyuan Hospital of China Academy of Chinese Medical Sciences from 2021 to 2024 were enrolled.Participants were categorized based on the presence of type 2 diabetes mellitus(T2DM)and dyslipidemia:non-T2DM group(n=736)and T2DM group(n=298),non-dyslipidemic group(n=382)and dyslipidemic group(n=652).Patient data were collected and compared.Logistic regression and linear regression models were employed to analyze the correlation between PhA and the risk of T2DM,as well as its association with fasting plasma glucose(FPG)levels.Additionally,the relationship between PhA and the risk of dyslipidemia,along with its correlation with total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)levels.Interaction tests were performed based on gender,age,smoking history,and alcohol consumption history.ROC curves were used to evaluate the predictive efficacy of PhA for T2DM and dyslipidemia risk in overweight/obese patients.Results This study included 1 034 overweight/obese patients,comprising 546 males(52.80%)and 488 females(47.20%),with a mean age of(51.8±15.3)years.Among them,298 patients had T2DM and 652 had dyslipidemia.Comparisons of gender,age,weight,BMI,systolic blood pressure,diastolic blood pressure,LDL-C,FPG,TG,HDL-C,PhA,smoking history,and drinking history between different glucose and lipid metabolism abnormality groups showed statistically significant differences(P<0.05).After adjusting for relevant variables,logistic regression analysis revealed that for each unit increase in PhA among overweight/obese patients,the risk of T2DM and dyslipidemia decreased to 37%(OR=0.37,95%CI=0.31-0.46,P<0.01)and 42%(OR=0.42,95%CI=0.35-0.52,P<0.01).Linear regression analysis revealed that for each unit increase in PhA among overweight/obese patients,FPG levels decreased by 0.39 units(β=-0.39,95%CI=-0.48 to-0.29,P<0.01),while TC,TG,and LDL-C levels decreased by 0.15(β=-0.15,95%CI=-0.22 to-0.09),0.42(β=-0.42,95%CI=-0.49 to-0.35),and 0.12(β=-0.12,95%CI=-0.23 to-0.01)(P<0.05),respectively.Subgroup analysis revealed that elevated PhA levels conferred greater benefits in improving glucose and lipid metabolism among patients aged≥52 years and non-drinkers(Pinteraction<0.05).The area under the ROC curve(AUC)for PhA in predicting T2DM and dyslipidemia risk in overweight/obese patients was 0.737(95%CI=0.702-0.772)and 0.662(95%CI=0.628-0.696),respectively,with optimal cutoff values of 4.15 ° and 5.15 °.Conclusion PhA negatively correlates with the risk of T2DM and dyslipidemia in overweight/obese patients and demonstrates good predictive efficacy for abnormal glucose and lipid metabolism.It can be used for early identification of T2DM and dyslipidemia in overweight/obese patients.