Journal of Korean Academy of Nursing

Original Articles

Multiple Factors in the Second Trimester of Pregnancy on Preterm Labor Symptoms and Preterm Birth: Jeung-Im Kim, Mi-Ock Cho, Gyu-Yeon Choi; J Korean Acad Nurs 2017;47(3):357-366. Published online January 15, 2017; DOI: https://doi.org/10.4040/jkan.2017.47.3.357

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/m²) (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.

Citations

Citations to this article as recorded by

Risk factors and the possibility of predicting late premature birth
L. S. Fatkullina, I. F. Fatkullin, S. A. Knyazev
Medical Herald of the South of Russia.2024; 15(2): 25. CrossRef
Incidence of Preterm Infants, Indications of Admission, Risk Factors, and Discharge Outcome: A Retrospective Study
Atyat Mohammed Hassan
The Open Nursing Journal.2022;[Epub] CrossRef
Prevalence and predictors of spontaneous preterm births in Nepal: findings from a prospective, population-based pregnancy cohort in rural Nepal–a secondary data analysis
Seema Subedi, Elizabeth A Hazel, Diwakar Mohan, Scott Zeger, Luke C Mullany, James M Tielsch, Subarna K Khatry, Steven C LeClerq, Robert E Black, Joanne Katz
BMJ Open.2022; 12(12): e066934. CrossRef
Development Process for Preterm Birth Risk Assessment Scale in High-Risk Pregnancy: 1st Phase of Preliminary Scale Development
Jeung-Im Kim
Journal of The Korean Society of Maternal and Child Health.2022; 26(3): 171. CrossRef
Systematic Review of Prediction Models for Preterm Birth Using CHARMS
Jeung-Im Kim, Joo Yun Lee
Biological Research For Nursing.2021; 23(4): 708. CrossRef
Visualization of unstructured personal narratives of perterm birth using text network analysis
Jeung-Im Kim
Korean Journal of Women Health Nursing.2020; 26(3): 205. CrossRef
Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
Abhishek Gurung, Johan Wrammert, Avinash K. Sunny, Rejina Gurung, Netra Rana, Yuba Nidhi Basaula, Prajwal Paudel, Amrit Pokhrel, Ashish KC
Archives of Public Health.2020;[Epub] CrossRef
Factors influencing Stress in Spouses of Hospitalized Women Diagnosed with Preterm Labor
Jeong Im Lee, Sehoon Hong
Korean Journal of Women Health Nursing.2019; 25(4): 459. CrossRef
Preterm Labor and Birth: Definition, Assessment, and Management
Jeung-Im Kim
Korean Journal of Women Health Nursing.2018; 24(3): 231. CrossRef
The Association Between Low 50 g Glucose Challenge Test Values and Adverse Pregnancy Outcomes
Hayan Kwon, Joonho Lee, Byung-Wan Lee, Ja-Young Kwon, Young-Han Kim
Journal of Women's Health.2018; 27(6): 801. CrossRef

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Effects of Abdominal Breathing on State Anxiety, Stress, and Tocolytic Dosage for Pregnant Women in Preterm Labor: Woo-Jeong Yu, Ju-Eun Song; J Korean Acad Nurs 2010;40(3):442-452. Published online June 30, 2010; DOI: https://doi.org/10.4040/jkan.2010.40.3.442

Abstract PDF

Purpose

The purpose of this study was to identify the effects of abdominal breathing on state anxiety, stress and tocolytic dosage for pregnant women in preterm labor.

Methods

The participants were 60 pregnant women in preterm labor who were hospitalized from April to July, 2009. Thirty participants were assigned to the experimental group and 30 to the control group. None of them had any other complications except preterm labor. The modified Mason's breathing technique was used with the experimental group 3 times a day for 3 days. Data were collected using a self-report questionnaire and chart review, and analyzed with the SPSS 13.0 WIN program.

Results

"State anxiety of the experimental group will be lower than that of the control group" was supported. "Stress of the experimental group will be lower than that of the control group" was supported. "The Ritodrine dosage for the experimental group will be lower than that of the control group" was supported. "The Atosiban dosage for the experimental group will be lower than that of the control group" was supported.

Conclusion

These results indicate that abdominal breathing is an effective nursing intervention for pregnant women in preterm labor.

Citations

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Guy Nam Kim, Eun-Young Jun
Journal of The Korean Society of Maternal and Child Health.2021; 25(4): 269. CrossRef
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Seo-A Park
Keimyung Medical Journal.2021; 40(1): 39. CrossRef
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Korean Journal of Women Health Nursing.2020; 26(2): 180. CrossRef
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AnjanaRajhamsan Iyer, Suroshree Mitra, Rachana Dabadghav
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Mindfulness.2019; 10(10): 2082. CrossRef
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Yu-Fen Chen, Xuan-Yi Huang, Ching-Hui Chien, Jui-Fen Cheng
Perspectives in Psychiatric Care.2017; 53(4): 329. CrossRef
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Xiao Ma, Zi-Qi Yue, Zhu-Qing Gong, Hong Zhang, Nai-Yue Duan, Yu-Tong Shi, Gao-Xia Wei, You-Fa Li
Frontiers in Psychology.2017;[Epub] CrossRef
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Eunok Park, Hyunjin Oh, Taeim Kim
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Ja-Sook Kim, Young-Sook Lee
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Korean Journal of Women Health Nursing.2010; 16(4): 336. CrossRef

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