DOI QR코드

DOI QR Code

Research trends related to problematic smartphone use among school-age children including parental factors: a text network analysis

  • Eun Jee Lee (College of Nursing.Research Institute of Nursing Science, Jeonbuk National University)
  • Received : 2022.11.09
  • Accepted : 2023.01.04
  • Published : 2023.04.30

Abstract

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

Keywords

Acknowledgement

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1G1A1100331).

References

  1. Korea Communications Commission (KCC). 2020 Broadcast media usage behavior survey. KCC; 2020 December. Report No.: 11-B55212600003910.
  2. Bae SM. Influence of smartphone usage types and excessive expectation for smartphone on adolescents' smartphone overdependence. Informatization Policy. 2018;25(4):65-83. https://doi.org/10.22693/NIAIP.2018.25.4.065
  3. Chung MS. The effects of age and need for cognition on smart phone using behavior: a study of smart phone dependency, mobile application, privacy concern, and mobile ad avoidance. Korean Journal Advertising. 2014;25(6):105-133. https://doi.org/10.14377/KJA.2014.8.31.105
  4. Caroppo E, Mazza M, Sannella A, Marano G, Avallone C, Claro AE, et al. Will nothing be the same again?: changes in lifestyle during COVID-19 pandemic and consequences on mental health. International Journal of Environmental Research and Public Health. 2021;18(16):8433. https://doi.org/10.3390/ijerph18168433
  5. National Information Society Agency. 2021 Survey on the smartphone overdependence. Ministry of Science and ICT; 2022 March. Report No.: NIA VIII-RSE-C-21048.
  6. Oakes K. What's the right age to get a smartphone? [Internet]. BBC; 2022 [cited 2022 December 31]. Available from: https://www.bbc.com/future/article/20220914-whats-the-rightage-to-get-a-smartphone
  7. Dresp-Langley B. Children's health in the digital age. International Journal of Environmental Research and Public Health. 2020;17:3240. https://doi.org/10.3390/ijerph17093240
  8. Bouchrika I. What age should a child get a smartphone: pros and cons of early phone use [Internet]. Research.com; 2022 [cited 2022 December 31]. Available from: https://research.com/education/what-age-should-a-child-get-asmartphone
  9. Sanders MR, Morawska A. Handbook of parenting and child development across the lifespan. Springer; 2018. p. 3-4.
  10. Kim K. The effects of permissive parental behavior on children's school adjustment: the mediating effect of children's media device addiction. Korean Journal of Child Care and Education Policy. 2021;15(2):75-96. https://doi.org/10.5718/kcep.2021.15.2.75
  11. Yoo S, Kim J, Park Y. The effects of parental attitudes and mental health, and school life adjustment on smartphone addiction in elementary school. Journal of Child Education. 2018;27(2):145-161. https://doi.org/10.17643/KJCE.2018.27.2.08
  12. Shin W, Lwin MO. Parental mediation of children's digital media use in high digital penetration countries: perspectives from Singapore and Australia. Asian Journal of Communication. 2022;32(4):309-326. https://doi.org/10.1080/01292986.2022.2026992
  13. Jago R, Edwards MJ, Urbanski CR, Sebire SJ. General and specific approaches to media parenting: a systematic review of current measures, associations with screen-viewing, and measurement implications. Childhood Obesity. 2013;9(Suppl 1):S51-S72. https://doi.org/10.1089/chi.2013.0031
  14. Lee SD, Yeum DM. The meta-analysis on the variables affecting the teenagers' mobile phone addiction. Journal of Future Oriented Youth Society. 2012;9(4):163-181.
  15. Agarwal P, Swami S, Malhotra SK. Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: a review. Journal of Science and Technology Policy Management. 2022. [Epub ahead of print] https://doi.org/10.1108/JSTPM-08-2021-0122
  16. Lee SK, Jeong S, Kim HG, Yom YH. A social network analysis of research topics in Korean nursing science. Journal of Korean Academy of Nursing. 2011;41(5):623-632. https://doi.org/10.4040/jkan.2011.41.5.623
  17. Kho J, Cho K, Cho Y. A study on recent research trend in management of technology using keywords network analysis. Journal of Intelligence and Information Systems. 2013;19(2):101-123. https://doi.org/10.13088/jiis.2013.19.2.101
  18. Park CS. Using text network analysis for analyzing academic papers in nursing. Perspectives in Nursing Science. 2019;16(1):12-24. https://doi.org/10.16952/pns.2019.16.1.12
  19. Seon SH, Jeong HW, Ju D, Lee JA, Ahn SH. Capturing new nurses' experiences and supporting critical thinking: text network analysis of critical reflective journals. Computers, Informatics, Nursing. 2022. [Epub ahead of print] https://doi.org/10.1097/cin.0000000000000971
  20. Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Annals of Internal Medicine. 2015;162(11):777-784. https://doi.org/10.7326/m14-2385
  21. Lee SS. A content analysis of journal articles using the language network analysis methods. Journal of the Korean Society for Information Management. 2014;31(4):49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
  22. Jasny L. Baseline models for two-mode social network data. Policy Studies Journal. 2012;40(3):458-491. https://doi.org/10.1111/j.1541-0072.2012.00461.x
  23. Lee JY. A study on the network generation methods for examining the intellectual structure of knowledge domains. Journal of the Korean Society for Library and Information Science. 2006;40(2):333-355. https://doi.org/10.4275/KSLIS.2006.40.2.333
  24. Newman M. Networks. 2nd ed. Oxford University Press; 2018. p. 159.
  25. Newman ME. Modularity and community structure in networks. Proceedings of the National Academy of Sciences. 2006;103: 8577-8582. https://doi.org/10.1073/pnas.0601602103
  26. Xie J, Szymanski BK. Community detection using a neighborhood strength driven label propagation algorithm. Paper presented at: 2011 IEEE Network Science Workshop; 2011 Jun 22-24; West Point, NY, USA. Piscataway, NJ: IEEE, 2011. p. 188-195.
  27. Lee EJ, Ogbolu Y. Does parental control work with smartphone addiction?: a cross-sectional study of children in South Korea. Journal of Addictions Nursing. 2018;29(2):128-138. https://doi.org/10.1097/jan.0000000000000222
  28. Ko Y, Kim S, Park S. A systematic review and meta-analytic study of programs for the problems of smartphone addiction in Korean youth: focusing on anxiety, depression, impulsiveness, self-control, self-esteem and smartphone addiction. Journal of Korean Public Health Nursing. 2022;36(1):5-19. https://doi.org/10.5932/JKPHN.2021.36.1.5
  29. Ge Y, Se J, Zhang J. Research on relationship among internet-addiction, personality traits and mental health of urban left-behind children. Global Journal of Health Science. 2014;7(4):60-69. https://doi.org/10.5539/gjhs.v7n4p60
  30. Kang K, Hur S, Jo J. An integrative review of interventions for Internet/smartphone addiction among adolescents. Perspectives in Nursing Science. 2018;15(2):70-80. https://doi.org/10.16952/pns.2018.15.2.70
  31. Clark LS. Parental mediation theory for the digital age. Communication Theory. 2011;21(4):323-343. https://doi.org/10.1111/j.1468-2885.2011.01391.x
  32. Kim YR, Kim HS. Relationship between smart phone usage and self-efficacy & academic achievement in high-grade elementary school students. Journal of the Korean Society of School Health. 2015;28(3):200-210. https://doi.org/10.15434/KSSH.2015.28.3.200
  33. Chung H. Trajectories of teacher-student relationship during early adolescence: links to externalizing, internalizing problem behaviors and school adjustment. Korea Journal of Youth Counseling. 2016;24(1):245-266. https://doi.org/10.35151/kyci.2016.24.1.012
  34. Kwon TY. Comparison on predictors affecting smartphone addiction of elementary school student and middle school students. Journal of Social Sciences. 2021;14(1):57-86.
  35. Panova T, Carbonell X. Is smartphone addiction really an addiction? Journal of Behavioral Addictions. 2018;7(2):252-259. https://doi.org/10.1556/2006.7.2018.49
  36. Im DH. Effects of smartphone game addiction by elementary schoolers on school violence awareness. Journal of the Korea Contents Association. 2020;20(12):417-425. https://doi.org/10.5392/JKCA.2020.20.12.417
  37. Kim MS. A study of the influence factors on the cyber-relationship addiction in upper grade of elementary school students. Journal of Korean Public Police and Security Studies. 2017;13(4):1-20. https://doi.org/10.25023/kapsa.13.4.201702.1
  38. Parent N, Shapka J. Moving beyond addiction: an attachment theory framework for understanding young adults' relationships with their smartphones. Human Behavior and Emerging Technologies. 2020;2(2):179-185. https://doi.org/10.1002/hbe2.180
  39. Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. Journal of Anxiety Disorders. 2019;62:45-52. https://doi.org/10.1016/j.janxdis.2018.11.005