DOI QR코드

DOI QR Code

The Factors related to Long Hours of Smartphone Usage and the Characteristics of High-risk Group in Female Middle School Students

중학교 여학생의 스마트폰 장시간 사용 관련요인 및 고위험군 특성

  • Received : 2018.08.01
  • Accepted : 2018.10.25
  • Published : 2018.12.31

Abstract

Purpose: The study aimed to investigate the factors associated with long hours of smartphone usage and to identify the characteristics of the high-risk group among female middle school students in South Korea. Methods: The study analyzed the data of 13,648 female middle school students using their own smartphone extracted from the 13th Youth Health Behavior Online Survey (2017). The factors related to using smartphones for a long time was analyzed by binomial logistic regression. The characteristics of the high-risk group was defined by a decision tree analysis. Results: The average hours spent on smartphone usage was 269.54 minutes per day. The significant factors associated with the long hours of smartphone usage were grade, living with parents, perceived household economic status, perceived academic achievement, stress, sadness and hopelessness, the main purpose of smartphone usage, drinking, body mass index, breakfast, and satisfaction with sleep quality. The subjects showing low academic performance and having breakfast four times a week or less were more likely to use their smartphone for a long time. Conclusion: Based on the results of the research, we need to establish intervention strategies focusing on the factors influencing long-time usage of smartphone. Particularly, the subjects who show poor academic performance and skip breakfast frequently should be considered as the high-risk group for spending long hours on smartphone usage.

Keywords

HKHKB2_2018_v31n3_135_f0001.png 이미지

Figure 1. The Factors Related to Long-time Usage of Smart-phone.

Table 1. Demographic Characteristics, Health Behavior Characteristics, and Usage of Smart-phone

HKHKB2_2018_v31n3_135_t0001.png 이미지

Table 2. The Factors related to Long-time Usage of Smart-phone

HKHKB2_2018_v31n3_135_t0002.png 이미지

References

  1. Korea Information Society Development Institute. Korea Media Panel Survey [Internet]. Jincheon: Author; 2017 [cited 2018 July 21] Available from: http://m.kisdi.re.kr/mobile/repo/stat_view.m?key1=14242&selectPage=.
  2. Kim BN. Effect of smart-phone addiction on youth's sociality development. Journal of the Korea Contents Association. 2013;13(4):208-217. https://doi.org/10.5392/JKCA.2013.13.04.208
  3. Jeong M. The structural relationship of factors associated with smartphone addiction amongst middle school students: With a focus on the ecological perspective. Studies on Korean Youth. 2015;26(3):103-131. https://doi.org/10.14816/sky.2015.26.3.103
  4. Tomas EG, Bernd F, Eveline AC, Reinout WW. Addiction, adolescence, and the integration of control and motivation. Developmental Cognitive Neuroscience. 2011;1(4):364-376. https://doi.org/10.1016/j.dcn.2011.06.008
  5. Statistics Korea. Smartphone addiction rate [Internet]. Daegeon: Author; 2015 [cited 2018 July 21]. Available from: http://kosis.kr/.
  6. Gladwin TE, Figner B, Crone EA, Wiers RW. Addiction, adolescence, and the integration of control and motivation. Developmental Cognitive Neuroscience. 2011;1(4):364-376. https://doi.org/10.1016/j.dcn.2011.06.008
  7. Lee EJ, Kim YK, Lim SJ. Factors influencing smartphone addiction in adolescents. Child Health Nursing Research. 2017;23 (4):525-533. https://doi.org/10.4094/chnr.2017.23.4.525
  8. Kim EG. The relationship between internet use and health behaviors among adolescents. Journal of Korean Academy of Community Health Nursing. 2015;26(1):52-60. https://doi.org/10.12799/jkachn.2015.26.1.52
  9. Cho YR, Kim YC, Shin YS. Prediction model of construction safety accidents using decision tree technique. Journal of the Korea Institute of Building Construction. 2017;17(3):295-303. https://doi.org/10.5345/JKIBC.2017.17.3.295
  10. Ministry of Science and ICT, National information society agency. The survey on internet overdependence [Internet]. Daegu: Author; 2016 [cited 2018 July 21]. Available from: https://webcache.googleusercontent.com/search?q=cache:gQ7DAdWkfb4J:https://iapc.or.kr/cmm/fms/FileDown.do%3Bjsessionid%3Dabc76frlHEKdddvyHYFXv%3FatchFileId%3DFILE_000000000113705%26fileSn%3D4+&cd=1&hl=ko&ct=clnk&gl=kr.
  11. Ministry of Science and ICT, National information society agency. The survey on internet overdependence [Internet]. Daegu: Author; 2018 [cited 2018 July 21]. Available from: https://webcache.googleusercontent.com/search?q=cache:_W1v-hdXtG8J:https://www.iapc.or.kr/cmm/fms/FileDown.do%3Bjsessionid%3DbacuqUqJyeWt9-grryvpw%3FatchFileId%3DFILE_00000000016.
  12. Lee BI, Kim SW, Kim YJ, Bae JY, Woo SK, Woo HN, et al. The relationship between smartphone usage time and physical and mental health of university students. Journal of the Korean Society of School Health. 2013;26(1):45-53.
  13. Kang MJ, Lee MS. The association of depression and suicidal behaviors with smartphone use among Korean adolescents. Korean Journal of Health Education and Promotion. 2014;31(5):147-158. https://doi.org/10.14367/kjhep.2014.31.5.147
  14. Kim YS. The effects of self esteem and optimism on adolescents' smartphone addiction. The Journal of Korean Society for School & Community Health Education. 2014;15(1):61-75.
  15. Chae KH. The moderating effect of smartphone addiction on school life adjustment and academic achivement of high school students [master's thesis]. Gwangju: Chonnam National University;2013. p. 1-38.
  16. Heo G. A study on the structural relationship among cell phone dependency, self-control ability, and attention with higher-order latent growth modeling. The Journal of Korean Association for Educational Information and Media. 2013;19(19):861-879.
  17. Jin MR, Shin SM. The effects of attachment trauma, self-esteem, depression, self-regulation on smartphone addiction in Korean adolescents: focusing on 'escape theory model'. Korean Journal of Psychology: Addiction. 2016;1(1):31-53.
  18. Lee HY, Cho YC. Relationship between psychosocial factors and smartphone addiction among middle school students in rural areas. Journal of the Korea Academia-Industrial cooperation Society. 2015;16(7):4711-4722. https://doi.org/10.5762/kais.2015.16.7.4711
  19. Yang YS, Yen JY, Ko CH, Cheung CP, Yen CF. The association between problematic cellular phone use and risky behaviors and low self-esteem among Taiwanese adolescents. BMC Public Health. 2010;10:217. https://doi.org/10.1186/1471-2458-10-217
  20. Cho SH, Jeon GS. Correlates of problematic mobile phone use among korean college students. The Korean Journal of Stress Research. 2016;24(1):13-22. https://doi.org/10.17547/kjsr.2016.24.1.13
  21. Kim GM, Jeong MK, Kwon YC. The effect of daily smart phone usage on sleep quality and sedentary behavior in university students. Korean Journal of Sports Science. 2016;25(1):1515-1522.
  22. Kim HY, Pae MK. Lifestyle, dietary behavior and snack preference of upper-grade elementary school students in Cheongju according to the usage time of smartphones. Korean Journal of Community Nutrition. 2017;22(1):40-52. https://doi.org/10.5720/kjcn.2017.22.1.40
  23. Nederkoorn C, Braet C, Van Eijs Y, Tanghe A, Jansen A. Why obese children cannot resist food: the role of impulsivity. Eating Behaviors. 2006;7(4):315-322. https://doi.org/10.1016/j.eatbeh.2005.11.005
  24. Her ES, Lee KH, Bae EY, Lyu ES. Interrelations among fast food intake, food behavior, and personality in adolescents. Korean Journal of Community Nutrition. 2007;12(6):714-723.
  25. Kim EJ, Kim SY. Correlation between smartphone addiction and eating behaviors of elementary school students in Ansan area. Journal of the Korean Society of Food Science and Nutrition. 2015;44(7):1007-1015. https://doi.org/10.3746/jkfn.2015.44.7.1007
  26. Choi DW. Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students. Journal of the Korea Academia-Industrial cooperation Society. 2015;16(1):429-437. https://doi.org/10.5762/KAIS.2015.16.1.429
  27. Lee JW. A Longitudinal analysis on relations among youths' academic achievement, delinquent behavior and delinquent friends. A Research Paper. Seoul: National Youth Policy Institute; 2013 December. Report No.:13-R14-1.
  28. Lien L. Is breakfast consumption related to mental distress and academic performance in adolescents? Public Health Nutrition. 2007;10(4):422-428. https://doi.org/10.1017/s1368980007258550
  29. Lesani A, Mohammadpoorasl A, Javadi M, Esfeh JM, Fakhari A. Eating breakfast, fruit and vegetable intake and their relation with happiness in college students. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity. 2016;21(4): 645-651. https://doi.org/10.1007/s40519-016-0261-0
  30. Kim EJ, Kim SY. Correlation between smartphone addiction and eating behaviors of elementary school students in Ansan area. Journal of the Korean Society of Food Science and Nutrition. 2015;44(7):1007-1015. https://doi.org/10.3746/jkfn.2015.44.7.1007