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目的探讨肝功能指标血清中γ谷氨酰胺转肽酶(GGT)与血压水平的相关性。方法采用横断面研究方法,选取邯郸地区2 372名在岗男性煤矿工人为研究对象,通过职业健康检查获取资料,包括年龄、性别、职业史、家族史、生活史等,测量其身高、体重指数(BMI)、收缩压(SBP)、舒张压(DBP)、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、空腹血糖(FPG)、丙氨酸转氨酶(ALT)、天冬氨酸转氨酶(AST)、血红蛋白(Hb)等。将所入选的受检者根据血压水平(mm Hg)分为3组,正常血压组(n=957):SBP<120、DBP<80;高血压前期组(n=958):SBP 120~139、DBP;高血压组(n=457):SBP≥140、DBP≥90。按血清中GGT水平四分位数分为4组,以SPSS 17.0统计软件分析其血清中GGT与SBP、DBP、FPG、TG、TC、HDL-C、BMI之间的相关性。结果①该人群的血清中GGT随血压水平的升高而逐渐升高,差异有统计学意义(P<0.01);②年龄、BMI、腰围、TG、TC、FPG、Hb随血压水平的升高而逐渐升高,差异有统计学意义(P<0.01);HDL-C随血压升高而逐渐降低,差异有统计学意义(P<0.05)。③根据GGT水平四分位组比较,随着GGT水平升高,年龄、SBP、DBP、TC、TG、FPG、Hb、ALT、AST、腰围和BMI均升高,差异均有统计学意义(P<0.01),HDL-C随GGT升高而降低,差异有统计学意义(P<0.01)。④以血清中GGT水平为因变量,年龄、TG、TC、HDL-C、FPG、Hb、SBP、DBP、ALT、AST为自变量进行逐步回归分析显示,GGT可显著影响SBP、TG、TC、FPG、Hb,未发现对DBP有独立影响。结论血清中GGT水平与血压呈显著正相关,是收缩压的独立风险因素。
Objective To investigate the correlation between serum GGT and blood pressure in patients with liver function. Methods A total of 2 372 male coal miners in Handan area were selected as research objects by means of cross-sectional study. The data of occupational health examination, including age, gender, occupational history, family history and life history, were selected to measure the height and body mass index BMI, SBP, DBP, TG, TC, HDL-C, FPG and alanine aminotransferase ALT), aspartate aminotransferase (AST), hemoglobin (Hb) and so on. The selected subjects were divided into three groups according to the blood pressure level (mm Hg): normal group (n = 957): SBP <120, DBP <80; prehypertensive group (n = 958) , DBP; hypertension group (n = 457): SBP≥140, DBP≥90. Serum levels of GGT were divided into four groups. SPSS 17.0 software was used to analyze the correlation between serum GGT and SBP, DBP, FPG, TG, TC, HDL-C and BMI. Results ① The serum GGT of the population gradually increased with the increase of blood pressure, the difference was statistically significant (P <0.01); ② The age, BMI, waist circumference, TG, TC, FPG and Hb increased with the increase of blood pressure (P <0.01). HDL-C gradually decreased with the increase of blood pressure, the difference was statistically significant (P <0.05). (3) According to the GGT level, the differences of age, SBP, DBP, TC, TG, FPG, Hb, ALT, AST, waist circumference and BMI were all statistically significant as the GGT level increased <0.01), HDL-C decreased with the increase of GGT, the difference was statistically significant (P <0.01). (4) The stepwise regression analysis of serum GGT level as dependent variable, age, TG, TC, HDL-C, FPG, Hb, SBP, DBP, ALT and AST as independent variables showed that GGT could significantly affect SBP, TG, TC, FPG, Hb, did not find an independent impact on DBP. Conclusion Serum GGT levels have a significant positive correlation with blood pressure, which is an independent risk factor of systolic blood pressure.