Abstract
卞爱琳,王小飞.谷氨酰转肽酶与代谢综合征相关注分析[J].Chinese journal of Epidemiology,2011,32(6):625-628
谷氨酰转肽酶与代谢综合征相关注分析
Relationship between serum gamma-glutamyltransferase and the risk of metabolic syndrome
Received:March 24, 2011  
DOI:
KeyWord: 谷氨酰转肽酶  代谢综合征
English Key Word: Serum gamma-glutamyltransferase  Metabolic syndrome
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Author NameAffiliationE-mail
BIAN Ai-lin Department of Geriatrics, the Tianjin First Central Hospital, Tianjin 300192,China bianallen@sina.com 
WANG Xiao-fei Department of Geriatrics, the Tianjin First Central Hospital, Tianjin 300192,China  
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Abstract:
      目的 探讨肝功能指标谷氨酰转肽酶(GGT)与代谢综合征(MS)组分体重指数(BMI)、血压、血脂及血糖之间的相关性.方法 选取天津市健康查体者4110名,按年龄分组(<65岁非老年组2058名,≥65岁老年组2052名),检测BMI、血压、空腹血糖(FPG)、谷丙转氨酶(ALT)、谷草转氨酶(AST)、GGT、甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、血尿酸(UA);根据GGT水平分为正常组和异常组,以SPSS软件进行统计学分析.结果 MS患病率非老年组为14.6%(男200%,女4.6%),老年组为24.3%(男24.6%,女22.8%);MS与非MS组间比较,BMI、舒张压(DBP)、ALT、GGT、HDL-C、FPG、UA的差异有统计学意义(均P<0.05);GGT正常与异常组间比较,BMI、DBP、ALT、AST、TG、TC、HDL-C、LDL-C、UA、FPG差异均有统计学意义(均P<005);经Pearson相关性分析,GGT与BMI、DBP、TG、TC、FPG、UA呈正相关(r值分别为0.212、0.226、0.362、0.200、0.120、0.213,均P<0.01),与HDL-C负相关(r=-0 23,P<0.001);多因素回归分析提示校正性别、年龄、BMI因素后,DBP、TG、FPG、UA为GGT的危险因子(β值分别为0.170、0.293、0.107、0.094,均P<0 05).结论 GGT与MS各组分血压、血脂及血糖显著相关.
English Abstract:
      Objective To observe the relationship between serum gamma-glutamyltransferase (GGT) and the risk factors of metabolic syndrome (MS). Methods Between April and August 2010, a total of 4110 persons from the out-patient Department of Tianjin First CentralHospital, were divided into two groups, the less than and the older than 65-year-old groups. Items as body mass index (BMI), blood pressure, FPG, serum total cholesterol(TC),triglyceride(TG),alanine transaminase (ALT), aspartate aminotransferase (AST), GGT, serum high-density lipoprotein level (HDL-C), serum low-density lipoprotein level (LDL-C) and uric acid(UA) were tested and data was analyzed by SPSS. All subjects were divided into normaland abnormal groups, according to the GGT level. Results 14.6 percent of thesubjects in the younger groups and 24.3 percent in the older groups were diagnosed as MS. Significant differences were noticed among MS groups and normal groups, regarding items as BMI, dystolic, ALT, GGT, HDL-C, FPG, and UA(F<0.05). There were significant differences between GGT normal group and abnormal group (F<0.05). The GGT levels were significant positively related to the levels of BMI, dystolic, TC, TG, FPG and UA with Rs as 0.212, 0.226, 0.362,0.200,0.120 and 0.213 (P<0.01), while negatively related to the HDL-C level (r=-0.23, P<0.001). Data from the regression analysis demonstrated thatdystolic, TG, FPG and UA were predictors for GGT (β =0.170, 0.293, 0.107, 0.094, P<0.05). Conclusion GGT levels were significantly related to the risk factors of metabolic syndrome.
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