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作 者:韦亚琴[1] 陈小丽[1] 蒋霞[1] 程蕴玉 陈晓敏[1] WEI Ya-qin;CHEN Xiao-li;JIANG Xia;CHENG Yun-yu;CHEN Xiao-min
机构地区:[1]南京医科大学附属无锡市妇幼保健院,无锡市214002
出 处:《护理实践与研究》2018年第23期68-70,共3页Nursing Practice and Research
摘 要:目的探究智能化成组管理对妊娠期糖尿病妇女体质量的影响。方法选取2016年1月至2017年6月于我院接受治疗的116例妊娠期糖尿病妇女为研究对象,按照随机数表法将所有产妇等分为观察组与对照组,观察组接受智能化成组管理,对照组接受常规护理,比较两组产妇不良妊娠结局干预前和产前体质量及BMI指数妊娠前后变化。结果两组产妇干预前体质量和BMI指数比较差异无统计学意义(P> 0. 05),但干预后观察组产妇体质量和BMI指数均低于对照组,差异有统计学意义(P <0. 05);观察组产妇顺产52例,剖宫产6例,其中原因为早产1例,巨大儿2例,羊水过多0例,产后出血3例;对照组产妇顺产43例,剖宫产15例,其中原因为早产3例,巨大儿6例,羊水过多1例,产后出血5例,两组比较差异具有统计学意义(P <0. 05);观察组产妇妊娠前平均BMI指数为(21. 61±4. 01),分娩前平均BMI指数为(26. 55±2. 79),对照组产妇妊娠前平均BMI指数平均为(21. 57±3. 82),分娩前平均BMI指数为(28. 04±2. 95),差异具有统计学意义(P <0. 05)。结论智能化成组管理能够控制孕妇肥胖的发生,保证体质量合理的增加,有助于改善妊娠结局,促进产后体质量的恢复,值得推广。Objective To explore the effect of intelligent group management on body mass of women with gestational diabetes. Methods To select116 cases of women with gestational diabetes who were treated in our hospital from January 2016 to June 2017 as research subjects. All of them were divided into observation group and control group according to the random number table method. The observation group was given intelligent group management,while the control group was given routine nursing. The adverse pregnancy outcomes,prenatal and postpartum body mass and changes of BMI index before and after pregnancy in the two groups were compared. Results There was no significant statistical difference in maternal quality and BMI between the two groups before the intervention( P > 0. 05). However,the maternal body mass and BMI index of the observation group were lower than those of the control group after the intervention,and the difference was statistically significant( P < 0. 05). There were 52 cases of maternal delivery and 6 cases of cesarean section in the observation group. The reasons were 1 case of premature birth,2 cases of macrosomia,0 cases of polyhydramnios,and 3 cases of postpartum hemorrhage. There were 43 cases of maternal delivery and 15 cases of cesarean section in the control group. The reasons were 3 cases of premature birth,6 cases of macrosomia,1 case of polyhydramnios,and 5 cases of postpartum hemorrhage. The difference between the two groups was statistically significant( P < 0. 05). The average BMI index of the pregnant women in the observation group was( 21. 61 ± 4. 01) before pregnancy,and the mean BMI index before delivery was( 26. 55 ± 2. 79). The average BMI index of the control group before pregnancy was( 21. 57 ± 3. 82),and the average BMI index before delivery was( 28. 04 ± 2. 95). The difference was statistically significant( P < 0. 05). Conclusion Intelligent group management can control the occurrence of obesity in pregnant women,and ensure a reasonable increase in body weight. As a result it can
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