Kim Jeung Im, Cho Mi Ock, Choi Gyu Yeon
School of Nursing, Soonchunhyang University, Cheonan, Korea.
Department of Nursing, Soonchunhyang University Hospital Cheonan, Cheonan ,Korea.
J Korean Acad Nurs. 2017 Jun;47(3):357-366. doi: 10.4040/jkan.2017.47.3.357.
The aim of this study was to determine the influence of various factors on preterm labor symptoms (PLS) and preterm birth (PB).
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.
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, CI=3.7250.33, p<.001), shorter cervix (<25mm) (OR=5.63, CI=1.2924.54, p<.05), BMI >25 (kg/m²) (OR=3.50, CI=1.359.04, p<.01) and a previous PB (OR=4.15, CI=1.0716.03, p<.05).
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.
本研究旨在确定各种因素对早产症状(PLS)和早产(PB)的影响。
这项前瞻性队列研究纳入了193名处于妊娠第二阶段的女性。通过自填问卷收集包括体重指数(BMI)、吸烟情况和妊娠并发症等多种特征。分别使用相关量表测量妊娠压力和早产症状。从病历中评估宫颈长度和分娩结局。采用多元回归预测早产症状,采用逻辑回归预测早产。
多元回归显示吸烟经历、妊娠并发症和妊娠特异性压力是早产症状的预测因素,占总变异的19.2%。逻辑回归显示早产的预测因素为双胞胎(OR = 13.68,CI = 3.7250.33,p <.001)、宫颈较短(<25mm)(OR = 5.63,CI = 1.2924.54,p <.05)、BMI>25(kg/m²)(OR = 3.50,CI = 1.359.04,p <.01)和既往早产史(OR = 4.15,CI = 1.0716.03,p <.05)。
本研究结果表明,影响妊娠第二阶段女性的多种因素可导致早产症状或早产。而且早产可能预示着早产。这些发现突出了早产和早产预测变量的差异。未来需要开展研究以开发一种筛查工具来预测孕妇早产风险。