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Multiple Factors in the Second Trimester of Pregnancy on Preterm Labor Symptoms and Preterm Birth

机译:早产儿妊娠期孕中期多种因素及早产

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Purpose: The aim of this study was to determine the influence of various factors on preterm labor symptoms (PLS) and preterm birth (PB). Methods: This prospective cohort study included 193 women in the second stage of pregnancy. Multiple characteristics including body mass index (BMI), smoking, and pregnancy complications were collected through a self-report questionnaire. Pregnancy stress and PLS were each measured with a related scale. Cervical length and birth outcome were evaluated from medical charts. Multiple regression was used to predict PLS and logistic regression was used to predict PB. Results: Multiple regression showed smoking experience, pregnancy complications and pregnancy specific stress were predictors of PLS and accounted for 19.2% of the total variation. Logistic regression showed predictors of PB to be twins (OR=13.68, C1=3.72 similar to 50.33, p 25 (kg/m(2)) (OR=3.50, CI=1.35 similar to 9.04, p<.01) and a previous PB (OR=4.15, CI=1.07 similar to 16.03, p<.05). Conclusion: The results of this study show that the multiple factors affect stage II pregnant women can result in PLS or PB. And preterm labor may predict PB. These findings highlight differences in predicting variables for pretrm labor and for PB. Future research is needed to develop a screening tool to predict the risk of preterm birth in pregnant women.
机译:目的:本研究的目的是确定各种因素对早产劳动症状(PLS)和早产(PB)的影响。方法:该预期队列研究包括193名怀孕第二阶段的妇女。通过自我报告调查问卷收集包括体重指数(BMI),吸烟和妊娠并发症的多种特征。每个妊娠应力和PLS都以相关规模测量。从医学图表评估颈部长度和出生结果。使用多元回归来预测PLS,并且使用逻辑回归来预测PB。结果:多元回归显示吸烟经验,妊娠并发症和妊娠特异性压力是PLS的预测因子,占总变异的19.2%。逻辑回归显示Pb的预测因子是双胞胎的(或= 13.68,C1 = 3.72类似于50.33,P 25(kg / m(2))(或= 3.50,ci = 1.35,类似于9.04,p <.01)和a以前的Pb(或= 4.15,CI = 1.07类似于16.03,P <.05)。结论:本研究结果表明,多因素影响阶段II孕妇可能导致PL或PB。和早产可以预测PB 。这些发现突出了预测预测预算劳动力和PB的变量的差异。需要进行未来的研究来开发筛选工具,以预测孕妇早产的风险。

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