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目的了解浙江省余姚市妊娠期糖代谢异常的相关发病因素。方法对2009-2011年3月262例妊娠期糖代谢异常病例与189例对照组在相关因素方面进行比较,统计学方法采用u检验、χ2检验。结果病例组与对照组比较年龄均值差异有统计学意义;年龄<25岁与≥35岁经χ2检验差异有统计学意义(P<0.05);两组文化程度小学及以下学历与大专及以上学历差异有统计学意义(P<0.05);孕1次和孕3次及以上比较、初产妇与经产妇比较差异有统计学意义(P均<0.01);两组在劳动强度上比较,极轻体力劳动差异有统计学意义(P<0.05);两组在高危因素发生上差异有统计学意义(P<0.05)。结论年龄均值>29岁GDM发生率增高,特别是年龄在≥35岁;<25岁孕妇不易发生糖代谢异常。病例组中妊娠期糖耐量受损组(GIGT)与GDM组比较,低体质指数者更易发生GIGT,而超重者更易发生妊娠期糖尿病。文化程度上,小学及文盲是GDM的高发因素,大专及以上学历是孕妇的保护因素,特别是本科及以上学历;孕次3次及以上、经产妇、极轻体力劳动较易发生妊娠期糖代谢异常。
Objective To understand the related risk factors of gestational glucose metabolism in Yuyao, Zhejiang Province. Methods In 2009-2011 March 262 cases of abnormal glucose metabolism during pregnancy and 189 cases of control group in the relevant factors, the statistical methods using u test, χ2 test. Results There was significant difference in the mean age between the case group and the control group. There was significant difference between the age group of 25 years old and the age of 35 years old group (χ2 test) (P <0.05) (P <0.05). Compared with the first trimester and third trimester pregnancies, the difference between primipara and mothers was statistically significant (all P <0.01). The labor intensity of the two groups were very mild There were significant differences in manual labor between the two groups (P <0.05). There was significant difference between the two groups in the risk factors (P <0.05). Conclusion The mean age of> 29 years old GDM increased, especially in the age of 35 years old; <25 years pregnant women are not prone to abnormal glucose metabolism. Compared with GDM group, GIGT was more likely to occur in patients with gestational impaired glucose tolerance group (GIGT) in the case group, while those with overweight were more likely to have gestational diabetes. Cultural level, primary and illiteracy is a high incidence of GDM, college degree or above is a protective factor for pregnant women, especially bachelor degree or above; pregnant times 3 times and above, the maternal, very light physical labor more prone to gestational sugar Metabolic abnormalities.