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妊娠期糖尿病的筛检及相关危险因素的研究
引用本文:赵伟,王建华.妊娠期糖尿病的筛检及相关危险因素的研究[J].华南预防医学,2002,28(2):9-11.
作者姓名:赵伟  王建华
作者单位:300070,天津医科大学公共卫生学院流行病学教研室
基金项目:国家自然科学基金(No.39970661)
摘    要:目的 探讨妊娠期糖尿病(GDM)相关危险因素。为预防GDM的发生提供科学依据。方法 共501位孕妇接受筛检,其中16例诊断为GDM。研究数据通过问卷调查和测量得到,用非条件Logistic回归分析来探讨GDM发生的危险因素。结果 单因素回归分析显示;年龄、糖尿病家族史,经产史,既往多囊卵巢综合症,初孕年龄,孕前体重,孕前体重指数和孕前腰围与孕妇GDM发生有关联,多因素分析表明;初孕年龄(OR=4.1102,95%CI:1.2610-13.3965),糖尿病家族史(OR=6.6138,95%CI:1.3334-32.8063),孕前BMI(OR=16.8227,95%CI:5.5441-51.0457)增加孕妇发生GDM的危险。结论 加强对初孕年龄大,有糖尿病家族史,孕前BMI值大的孕妇的检查,以预防GDM的发生。

关 键 词:妊娠期糖尿病  危险因素  非条件Logistic回归分析  GDM

Screening and Risk Factors of Gestational Diabetes Mellitus in Tianjin City
ZHAO Wei,WANG JianhuaTianjin Medical University,Tianjin.Screening and Risk Factors of Gestational Diabetes Mellitus in Tianjin City[J].South China JOurnal of Preventive Medicine,2002,28(2):9-11.
Authors:ZHAO Wei  WANG JianhuaTianjin Medical University  Tianjin
Institution:ZHAO Wei,WANG JianhuaTianjin Medical University,Tianjin,300070
Abstract:Objective To determine the risk factors related to Gestational diabetes mellitus (GDM) and to provide scientific basis for GDM prevention.Methods A total of 501 pregnant women were screened and 16 cases were found with GDM. Data were obtained using questionnaires and measurement respectively. Non-con ditional logistic regressions were used to identify the risk factors of GDM. Results Single-factor logistic regres sion showed that age,family history of DM, past parity, polycystic ovary syndrome(PCOS) , first gestational age, pre-pregnancy weight, pre-pregnancy BMI, pre-pregnancy waist circumference were associated with GDM. Multi-factors non-conditional logistic regression showed that first gestational age( OR=4.1102, 95% CI:1. 2610-13.3965), family history of DM( OR = 6.6138, 95%CI: 1.3334-32.8063) and pre - pregnancy BMI (OR=16.8227, 95% CI:5.5441-51.0457) were the risk factors of GDM. Conclusion It is necessary to strengthen examination in pregnant women with advanced first gestational age, family history of DM or big pre-pregnancy BMI in GDM prevention.
Keywords:Gestationsl diabetes mellitus  Risk factor  Non-conditional logistic regression
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