This article has been corrected. See "Corrigendum: Multiple Factors in the Second Trimester of Pregnancy on Preterm Labor Symptoms and Preterm Birth" in Volume 47 on page 575.
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.
References
1. World Health Organization. Preterm birth [Internet]. Geneva, CH: Author;2016. [cited 2016 March 26]. Available from:. http://www.who.int/mediacentre/factsheets/fs363/en/.
2. Moutquin JM. Classification and heterogeneity of preterm birth. BJOG: British Journal of Obstetrics and Gynaecology;2003. 110(Suppl 20):p. 30–33. http://dx.doi.org/10.1046/j.1471-0528.2003.00021.x.
3. Statistics Korea. Survey results of the causes of death, 2009-2011 [Internet]. Daejeon: Author;2012. [cited 2015 May 1]. Available from:. http://kostat.go.kr/portal/korea/kor_nw/3/index.board?bmode=read&aSeq=269012.
4. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Global, regional, and national causes of child mortality: An updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012; 379(9832):2151–2161. http://dx.doi.org/10.1016/s0140-6736(12)60560-1.
5. Lawn JE, Kinney M. Preterm birth: Now the leading cause of child death worldwide. Science Translational Medicine. 2014; 6(263):263–221. http://dx.doi.org/10.1126/scitranslmed.aaa2563.
6. American Congress of Obstetricians and Gynecologists. Pre-term (Premature) labor and birth: Resource overview [Internet]. Washington, DC: Author;2014. [cited 2015 May 01]. Available from:. http://www.acog.org/Womens-Health/Preterm-Premature-Labor-and-Birth.
7. Korean Society of Maternal Fetal Medicine. The survey on the actual conditions of delivery room and delivery of high risk pregnancy, definition and classification of high pregnancy. Seoul: Author;2012. Nov. Report No.:11-1352000-000879-01.
8. Mella MT, Berghella V. Prediction of preterm birth: Cervical sonography. Seminars in Perinatology. 2009; 33(5):317–324. http://dx.doi.org/10.1053/j.semperi.2009.06.007.
9. Korean Society of Obstetrics and Gynecology. Obstetrics. 5th ed. Seoul: Author;2015. p. 561–587.
10. Romero R, Dey SK, Fisher SJ. Preterm labor: One syndrome, many causes. Science. 2014; 345(6198):760–765. http://dx.doi.org/10.1126/science.1251816.
11. Seravalli L, Patterson F, Nelson DB. Role of perceived stress in the occurrence of preterm labor and preterm birth among urban women. Journal of Midwifery & Women’s Health. 2014; 59(4):374–379. http://dx.doi.org/10.1111/jmwh.12088.
12. Dole N, Savitz DA, Hertz-Picciotto I, Siega-Riz AM, McMa-hon MJ, Buekens P. Maternal stress and preterm birth. American Journal of Epidemiology. 2003; 157(1):14–24. http://dx.doi.org/10.1093/aje/kwf176.
13. Schetter CD. Stress processes in pregnancy and preterm birth. Current Directions in Psychological Science. 2009; 18(4):205–209. http://dx.doi.org/10.1111/j.1467-8721.2009.01637.x.
14. Berghella V. Novel developments on cervical length screening and progesterone for preventing preterm birth. BJOG: British Journal of Obstetrics and Gynaecology. 2009; 116(2):182–187. http://dx.doi.org/10.1111/j.1471-0528.2008.02008.x.
15. Zhang Z. Monte Carlo based statistical power analysis for mediation models: Methods and software. Behavior Research Methods. 2014; 46(4):1184–1198. http://dx.doi.org/10.3758/s13428-013-0424-0.
16. Ahn HL. An experimental study of the effects of husband’s supportive behavior reinforcement education on stress relief of primigravidas. The Journal of Nurses Academic Society. 1985; 15(1):5–16. http://dx.doi.org/10.4040/jnas.1985.15.1.5.
17. DeVellis RF. Scale development: Theory and applications. 4th ed. Newbury Park, CA: Sage;1991. p. 85.
18. Chen MJ, Grobman WA, Gollan JK, Borders AE. The use of psychosocial stress scales in preterm birth research. American Journal of Obstetrics and Gynecology. 2011; 205(5):402–434. http://dx.doi.org/10.1016/j.ajog.2011.05.003.
19. American College of Obstetricians and Gynecologists. ACOG practice bulletin no. 127: Management of preterm labor. Obstetrics and Gynecology. 2012; 119(6):1308–1317. http://dx.doi.org/10.1097/AOG.0b013e31825af2f0.
20. Hamilton SA, Tower CL. Management of preterm labour. Obstetrics, Gynaecology and Reproductive Medicine. 2013; 23(4):114–120. http://dx.doi.org/10.1016/j.ogrm.2013.02.009.
21. Sadler L, Saftlas A, Wang W, Exeter M, Whittaker J, Mc-Cowan L. Treatment for cervical intraepithelial neoplasia and risk of preterm delivery. JAMA: Journal of the American Medical Association. 2004; 291(17):2100–2106. http://dx.doi.org/10.1001/jama.291.17.2100.
22. Di Renzo GC, Giardina I, Rosati A, Clerici G, Torricelli M, Petraglia F. Maternal risk factors for preterm birth: A country-based population analysis. European Journal of Obstetrics, Gynecology, and Reproductive Biology. 2011; 159(2):342–346. http://dx.doi.org/10.1016/j.ejogrb.2011.09.024.
23. Dietz PM, Callaghan WM, Cogswell ME, Morrow B, Ferre C, Schieve LA. Combined effects of pre-pregnancy body mass index and weight gain during pregnancy on the risk of preterm delivery. Epidemiology. 2006; 17(2):170–177. http://dx.doi.org/10.1097/01.ede.0000198470.26932.9a.
24. Cole-Lewis HJ, Kershaw TS, Earnshaw VA, Yonkers KA, Lin H, Ickovics JR. Pregnancy-specific stress, preterm birth, and gestational age among high-risk young women. Health Psychology. 2014; 33(9):1033–1045. http://dx.doi.org/10.1037/a0034586.
25. Chung MY, Hwang KH, Cho OH. Relationship between fatigue, sleep disturbance, and gestational stress among pregnant women in the late stages. Korean Journal of Women Health Nursing. 2014; 20(3):195–203. http://dx.doi.org/10.4069/kjwhn.2014.20.3.195.
26. Myers KM, Hendon CP, Gan Y, Yao W, Yoshida K, Fernandez M, et al. A continuous fiber distribution material model for human cervical tissue. Journal of Biomechanics. 2015; 48(9):1533–1540. http://dx.doi.org/10.1016/j.jbiomech.2015.02.060.
27. Botsis D, Makrakis E, Papagianni V, Kouskouni E, Grigoriou O, Dendrinos S, et al. The value of cervical length and plasma proMMP-9 levels for the prediction of preterm delivery in pregnant women presenting with threatened preterm labor. European Journal of Obstetrics, Gynecology, and Reproductive Biology. 2006; 128(1-2):108–112. http://dx.doi.org/10.1016/j.ejogrb.2005.10.022.
28. Giannella L, Beraldi R, Giulini S, Cerami LB, Mfuta K, Fac-chinetti F. Nitric oxide metabolite levels and assessment of cervical length in the prediction of preterm delivery among women undergoing symptomatic preterm labor. International Journal of Gynaecology and Obstetrics. 2012; 116(3):223–227. http://dx.doi.org/10.1016/j.ijgo.2011.10.020.
29. Fox N, Bergh E, Oppal S, Saltzman D, Klauser C, Gupta S, et al. The association between a short cervix, fetal fibronectin, and preterm birth in twin pregnancies, analyzed by cause of preterm birth: Preterm labor, premature rupture of membranes, and indicated preterm birth. American Journal of Obstetrics and Gynecology. 2014; 210(1 Suppl):S400. http://dx.doi.org/10.1016/j.ajog.2013.10.856.