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Research Paper
Moderating Effect of General Self-Efficacy on the Relationship between Pregnancy Stress, Daily Hassles Stress, and Preterm Birth Risk in Women Experiencing Preterm Labor: A Cross-Sectional Study
Cho, Hyun-Jeong , Kim, Jeung-Im
J Korean Acad Nurs 2024;54(3):329-339.   Published online August 31, 2024
DOI: https://doi.org/10.4040/jkan.24008
AbstractAbstract PDF
Purpose
This study investigated the moderating role of general self-efficacy (GSE) on how stress caused by pregnancy and daily hassle affect the risk of preterm birth (PTB) in women experiencing preterm labor.
Methods
This cross-sectional study included 196 pregnant women experiencing preterm labor before 37 weeks of gestation. We used IBM SPSS Statistics 27 and employed Hayes process macro version 4 (model 1) and hierarchical regression to analyze the moderating effect of GSE on the relationship between pregnancy stress, daily hassle stress, and PTB risk.
Results
Stress caused by pregnancy and daily hassle was positively correlated to PTB risk (r = .54, p < .001; r = .25, p < .001, respectively). While GSE did not significantly correlate with pregnancy stress, it negatively correlated with daily hassle stress (r = - .19, p = .009). GSE significantly moderated the relationship between combined stressors and PTB risk. As GSE levels increased, escalation in PTB risk in response to increasing stress levels was a more pronounced, highlighting a complex interaction between higher GSE levels and response to escalating stress levels. This model accounted for 39.5% of the variance in the PTB risk.
Conclusion
Higher GSE may amplify the impact of stress on PTB risk, rather than mitigate it, which suggests a more nuanced role of GSE in the stress response of pregnant women at risk of preterm labor. GSE should be considered in care strategies, and managing its impact on stress perception and responses in pregnant women is crucial.
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Original Article
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
AbstractAbstract PDF
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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