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目的探讨孕产妇妊娠高血压(pregnancy induced hypertension,PIH)的影响因素,对今后预防PIH的发生、减少孕产妇及围生儿死亡具有重要的指导意义和临床实践意义。方法采用病例对照研究和问卷调查方式,收集病例和对照的相关资料,采用条件Logistic回归分析PIH的影响因素。结果病例组及对照组调查对象的年龄、居住地、文化程度、家庭人均收入、季节和体重指数在两组间差异有统计学意义。农村产妇能增加PIH风险[1.54(1.04～2.29)],文化程度高中/中专[0.49(0.27～0.89)]、大学/大专及以上[0.19(0.10～0.37)]能降低PIH风险,夏季生产的孕妇能显著性的增加PIH风险[3.25(1.92～5.54)],体重指数越高PIH风险越高[2.71(1.27～5.81)]。条件Logistic回归分析表明居住地、文化程度、生产季节和孕前超重与肥胖几个变量与PIH风险有相关关系。结论针对农村地区、文化水平较低、孕前体重超重和肥胖以及在夏季生产的孕妇应该加强妊娠高血压的预防和干预,对降低妊娠高血压发生率,减轻对孕产妇及胎儿的伤害将有重要的意义。
Objective To investigate the influencing factors of pregnancy induced hypertension (PIH) in pregnant women, which is of great guiding significance and clinical practice significance for preventing the occurrence of PIH and reducing the death of pregnant women and perinatal children in the future. Methods Case-control studies and questionnaires were used to collect the relevant data of cases and controls. Logistic regression analysis was used to analyze the influencing factors of PIH. Results The differences of age, residence, educational level, family per capita income, seasonal and body mass index between the two groups were statistically significant in case group and control group. Rural mothers increased PIH risk [1.54 (1.04-2.29)], high school / college (0.49 (0.27-0.89)], college / college and above [0.19 (0.10-0.37) Of pregnant women significantly increased the risk of PIH [3.25 (1.92-5.54)]. The higher the body mass index, the higher the risk of PIH [2.71 (1.27-5.81)]. Conditional logistic regression analysis showed that there were correlations between PIH risk and several variables such as residence, educational level, production season and pre-pregnancy overweight and obesity. Conclusion In rural areas, prevention and intervention of pregnancy-induced hypertension should be strengthened in pregnant women with over-weight and obese pregnant women who are overweight and pregnant before pregnancy, so as to reduce the incidence of pregnancy-induced hypertension and reduce the harm to pregnant women and fetuses Meaning.