References
- Statistics Korea. 2019 Population trend survey: The number of population dynamics and the trend of dynamics [Internet]. Daejeon: Author; 2019 [cited 2019 Aug 28]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B8000F&conn_path=I2
- Cunningham FG, Leveno KJ, Bloom SL, Hauth JC, Rouse DJ, Spong CY. Williams obstetrics. 25th ed. New York: McGraw-Hill Professional; 2018. 1344 p.
- Health Insurance Review & Assessment Service. Control of National Interest Disease (Preterm labor). Daejeon: Author; 2018 [cited 2018 Mar 1]. Available from: http://opendata.hira.or.kr/op/opc/olapMfrnIntrsIlnsInfo.do
- Park MN, Choi SY. The effects of infertility stress and depression on quality of life in infertile couples. JKDAS. 2012;14(4):1987-2000.
- Orshan SA. Maternity, newborn, and women's health nursing: comprehensive care across the lifespan. Philadelphia: Lippincott Williams & Wilkins; 2008. 1125 p.
- Sosa CG, Althabe F, Belizan JM, Bergel E. Bed rest in singleton pregnancies for preventing preterm birth. Cochrane Database Syst Rev. 2015;2015(3):CD003581. https://doi.org/10.1002/14651858.CD003581.pub3
- Lee SY, Lym JY. A report on the improvement of population quality in response to low birth rate and aging: policy tasks of elderly pregnant women. Sejong: Korea Institute for Health and Social Affairs; 2013. Report No. : 2013-31-09.
- Go JI, Kim KH, Yeoum SG. Relationship with physical suffering, emotional state, and nursing needs of pregnant women in preterm labor. Korean J Women Health Nurs. 2009;15(4):280-293. https://doi.org/10.4069/kjwhn.2009.15.4.280
- Lagan BM, Sinclair M, Kernohan WG. Internet use in pregnancy informs women's decision making: a web-based survey. Birth. 2010;37(2):106-115. https://doi.org/10.1111/j.1523-536X.2010.00390.x
- Ryu KJ, Shin HS. Phenomenological study on experience of preterm labor. Korean J Women Health Nurs. 2009;15(2):140-149. https://doi.org/10.4069/kjwhn.2009.15.2.140
- Gown M, Chyung Y. The effects of mothers' smartphone dependency, parenting self-efficacy, and parenting behaviors on their preschool children's smartphone dependency. Korean J Play Ther. 2018;21(1):153-169. https://doi.org/10.17641/KAPT.21.1.8
- Hur GH. A review study on recent trends in internet addiction research and future research directions: focused on diagnostic criteria. J Cybercommun Acad Soc. 2019;36(4):41-93. https://doi.org/10.36494/JCAS.2019.12.36.4.41
- Jung MS, Ju KO, Song MS, Lee KS. Effects of smartphone overuse on perceived cognitive function, fatigue, and daytime sleepiness among college students. J Korean Soc Sch Health. 2016;29(3):245-255. https://doi.org/10.15434/kssh.2016.29.3.245
- Yoshimura M, Kitazawa M, Maeda Y, Mimura M, Tsubota K, Kishimoto T. Smartphone viewing distance and sleep: an experimental study utilizing motion capture technology. Nat Sci Sleep. 2017;9:59-65. https://doi.org/10.2147/NSS.S123319
- Kang MJ, Yeo JH. Influencing factors of sleep disturbance in pregnant women. J Korean Soc Matern Child Health. 2016;20(3):211-220. https://doi.org/10.21896/jksmch.2016.20.3.211
- Ko SH, Chang SC, Chen CH. A comparative study of sleep quality between pregnant and nonpregnant Taiwanese women. J Nurs Scholarsh. 2010;42(1):23-30. https://doi.org/10.1111/j.1547-5069.2009.01326.x
- Park SY, Park JS. Relationship between preterm labor stress, anxiety and Nursing needs on pregnant woman with preterm labor. J Wholist Nurs Sci. 2019;12:1-9.
- Spielberger CD. Anxiety: current trends in theory and research. New York: Elsevier; 2013. 485 p.
- Han DW, Lee CH, Chon KK. Korean adaptation of Spielberger's STAI (K-STAI). Korean J Health Psychol. 1996;1(1):1-14.
- Kim DI, Chung YJ, Lee JY, Kim MC, Lee YH, Kang EB, et al. Development of smartphone addiction proneness scale for adults: self-report. Korean J Couns. 2012;13(2):629-644. https://doi.org/10.15703/kjc.13.2.201204.629
- Oh JJ, Song MS, Kim SM. Development and validation of Korean Sleep Scale A. J Korean Acad Nurs. 1998;28(3):563-572. https://doi.org/10.4040/jkan.1998.28.3.563
- Hwang RH. Relationship between maternal fetal attachment and state anxiety of pregnant women in the preterm labor. Korean J Women Health Nurs. 2013;19(3):142-152. https://doi.org/10.4069/kjwhn.2013.19.3.142
- Wee H, Park SY. The relationships between anxiety, depression, prenatal stress, maternal-fetal attachment and gratitude. J Korean Soc Matern Child Health. 2012;16(2):274-286. https://doi.org/10.21896/jksmch.2012.16.2.274
- Jeon HS, Jang SO. A study on the influence of depression and stress on smartphone addiction among university students: focused on moderating effect of gender. Korean J Youth Stud. 2014;21(8):103-129.
- Choi YS. Factors affecting quality of sleep in breast cancer patients receiving chemotherapy in the outpatient settings. J Korea Acad Ind Coop Soc. 2019;20(2):562-570. https://doi.org/10.5762/KAIS.2019.20.2.562
- Choi D. Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students. J Korea Acad Ind Coop Soc. 2015;16(1):429-437. https://doi.org/10.5762/KAIS.2015.16.1.429
- Felder JN, Baer RJ, Rand L, Jelliffe-Pawlowski LL, Prather AA. Sleep disorder diagnosis during pregnancy and risk of preterm birth. Obstet Gynecol. 2017;130(3):573-581. https://doi.org/10.1097/AOG.0000000000002132
- Willis SK, Hatch EE, Wesselink AK, Rothman KJ, Mikkelsen EM, Wise LA. Female sleep patterns, shift work, and fecundability in a North American preconception cohort study. Fertil Steril. 2019;111(6):1201-1210. e1. https://doi.org/10.1016/j.fertnstert.2019.01.037
- Yu Y, Li M, Pu L, Wang S, Wu J, Ruan L, et al. Sleep was associated with depression and anxiety status during pregnancy: a prospective longitudinal study. Arch Womens Ment Health. 2017;20(5):695-701. https://doi.org/ 10.1007/s00737-017-0754-5
- Heo JY, Kim SH, Han MA, Ahn YJ. Correlation between smartphone addiction and quality of sleep among university school students, graduate students. J Korea Inst Electron Commun Sci. 2015;10(6):737-747. https://doi.org/10.13067/JKIECS.2015.10.6.737