不同体型的老年高血压患者血清瘦素浓度的影响因素与预测

Influencing factors and prediction of serum leptin concentration in elderly hypertensive patients with different body types

目的:探究肥胖、超重与正常体型老年高血压患者之间的一般临床资料变化及血清瘦素浓度差异,通过相关影响因素预测老年高血压血清瘦素浓度。方法:收治老年高血压患者110例,肥胖35例,超重37例,正常体型38例,收集一般临床资料并测定血清瘦素浓度,进行组间比较;运用多重线性回归选择相关因素预测血清瘦素水平。结果:在不同体型组的老年高血压患者中,体脂率、体重指数(BMI)、腰臀比(WHR)、血清尿酸(UA)、同型半胱氨酸(Hcy)、24 h平均收缩压(SBP)、血清瘦素(Leptin)差异有统计学意义(P<0.05或P<0.01)。运用多重线性回归,根据24 h SBP、BMI、UA水平预测血清瘦素浓度的回归模型有统计学意义,F(3,105)=150.300(P<0.001)。结论:老年高血压患者瘦素水平与BMI、24 h SBP、UA水平相关,这三者可对老年高血压患者血清瘦素浓度进行预测。

Objective:To explore the changes of general clinical data and the difference of serum leptin concentration between obese,overweight and normal elderly hypertensive patients,and to predict the serum leptin concentration in elderly hypertensive patients by correlative factors.Methods:110 elderly patients with hypertension were selected,35 obese,37 overweight and 38 normal elderly hypertensive patients were selected,the general clinical data of patients were collected and serum leptin levels were measured for comparison between groups.Multiple linear regression was used to select relevant factors to predict serum leptin levels.Results:The body fat percentage,BMI,WHR,UA,Hcy,24 h SBP,and serum leptin concentrations were significantly different among the groups(P<0.05 or P<0.01).Multiple linear regression was used to predict serum leptin concentration according to 24 h SBP,BMI and UA levels.The regression model had statistical significance,F(3,105)=150.300(P<0.001). Conclusion:Serum leptin levels in elderly hypertensive patients were associated with BMI,24 h SBP,and UA levels.The levels of BMI,24 h SBP and UA can predict serum leptin concentration in elderly patients with hypertension.