Korean J Women Health Nurs.  2020 Jun;26(2):191-199. 10.4069/kjwhn.2020.06.18.2.

Effects of anxiety and smartphone dependency on sleep quality among pregnant women with preterm labor

• Lee HJ
• Kim HY

• KMID: 2503636
• DOI: http://doi.org/10.4069/kjwhn.2020.06.18.2

Abstract

Purpose
The purpose of this study was to investigate the effects of anxiety and smartphone dependency on sleep quality in pregnant women with preterm labor.
Methods
The participants of this study were 111 pregnant women who were between 20 and 37 weeks of gestation and experienced preterm labor. The data were collected from October 1, 2018 to October 25, 2019. The collected data were analyzed using descriptive statistics (frequency, percentage, and standard deviation), as well as the t-test, Pearson correlation coefficients, and hierarchical multiple regression.
Results
Significant negative correlations were found between anxiety and sleep quality and between smartphone dependency and sleep quality. Participants’ history of preterm birth, pregnancy method, bowel movements, anxiety, and smartphone dependency significantly affected sleep quality, with an explanatory power of 18%.
Conclusion
In order to improve the quality of sleep, which is an important health-related factor for pregnant women experiencing preterm labor, it will be necessary to identify a history of premature birth, pregnancies achieved using artificial reproductive technology, bowel problems, and smartphone dependency in advance and to provide nursing interventions accordingly.

Keyword

Anxiety; Smartphone; Sleep; Preterm labor; 불안; 스마트폰; 수면의 질; 조기진통

Reference

References

1. 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.

2. Cunningham FG, Leveno KJ, Bloom SL, Hauth JC, Rouse DJ, Spong CY. Williams obstetrics. 25th ed. New York: McGraw-Hill Professional;2018. 1344 p.

3. 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.

4. Park MN, Choi SY. The effects of infertility stress and depression on quality of life in infertile couples. JKDAS. 2012; 14(4):1987–2000.

5. Orshan SA. Maternity, newborn, and women’s health nursing: comprehensive care across the lifespan. Philadelphia: Lippincott Williams & Wilkins;2008. 1125 p.

6. Sosa CG, Althabe F, Belizán 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. Spielberger CD. Anxiety: current trends in theory and research. New York: Elsevier;2013. 485 p.

19. Han DW, Lee CH, Chon KK. Korean adaptation of Spielberger’s STAI (K-STAI). Korean J Health Psychol. 1996; 1(1):1–14.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.