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http://dx.doi.org/10.4040/jkan.2017.47.3.357

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

Kim, Jeung-Im (School of Nursing, Soonchunhyang University)
Cho, Mi-Ock (Department of Nursing, Soonchunhyang University Hospital Cheonan)
Choi, Gyu-Yeon (Department of Obstetrics and Gynecology, Soonchunhyang University Hospital Seoul)
Publication Information
Journal of Korean Academy of Nursing / v.47, no.3, 2017 , pp. 357-366 More about this Journal
Abstract
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, CI=3.72~50.33, p<.001), shorter cervix (<25mm) (OR=5.63, CI=1.29~24.54, p<.05), BMI >25 ($kg/m^2$) (OR=3.50, CI=1.35~9.04, p<.01) and a previous PB (OR=4.15, CI=1.07~16.03, 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.
Keywords
Pregnancy; Preterm labor; Preterm birth; Stress; Cervical length measurement;
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