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. J Sci Technol Policy Manag. 2022 February 16. [Epub].
https://doi.org/10.1108/JSTPM-08-2021-0122.
Bae SM. The relationships between perceived parenting style, learning motivation, friendship satisfaction, and the addictive use of smartphones with elementary school students of South Korea: Using multivariate latent growth modeling. Sch Psychol Int. 2015. 36:513–31.
https://doi.org/10.1177/0143034315604017.
Bae SM., Hong JY., Hyun MH. A validation study of the peer relationship quality scale for adolescents. Korean J Youth Stud. 2015. 22:325–44.
Demirci K., Akgonul M., Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict. 2015. 4:85–92.
https://doi.org/10.1556/2006.4.2015.010.
Gokmen HM., Gokmen G., Dilek B., Gulbahar S., Akalın E. Addiction of smartphones and related finger deformities: a case report. Turk J Phys Med Rehabil. 2020. 66:476.
https://doi.org/10.5606/tftrd.2020.4256.
Granrud MD., Steffenak AKM., Theander K. Gender differences in symptoms of depression among adolescents in Eastern Norway: Results from a cross-sectional study. Scand J Public Health. 2019. 47:157–65.
https://doi.org/10.1177/1403494817715379.
Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. 2nd ed. New York (NY): The Guilford Publications;2017.
Jeon HS., Chun JS. Effects of internalizing and externalizing problem behaviors on smartphone addiction among adolescents: focusing on the mediating effects of self-efficacy. J Youth Welf. 2017. 19:53–80.
http://dx.doi.org/10.19034/KAYW.2017.19.3.03.
Jeon HS., Chun JS. Effects of peer and school stress on smartphone addiction among adolescents: focusing on the mediating effects of depression/anxiety. J Youth Welf. 2019. 21:1–28.
https://doi.org/10.19034/kayw.2019.21.1.01.
Jeong M. The structural relationship of factors associated with smartphone addiction amongst middle school students: with a focus on the ecological perspective. Stud Korean Youth. 2015. 26:103–31.
http://dx.doi.org/10.14816/sky.2015.26.3.103.
Jo J., Bang KS. The effect of peer relationship enhancement programs on the prevention of smartphone addiction among late school-age children in South Korea. J Pediatr Nurs. 2022. 63:e127–35.
https://doi.org/10.1016/j.pedn.2021.09.025.
Ju S., Cho S. A study on the discriminating factors of youth's smartphone addiction- focusing on daily average smartphone usage time, impulsivity, peer relationships, mother's authoritarianism-rearing attitudes. J Youth Welf. 2015. 17:97–118.
Kang EY., Kim HJ., Hwang TJ. Study on the public awareness of porno-graphy using children and youth and effective regulation. Seoul (Korea): Korean Institute of Criminology and Justice;2016. Report No. 16-AA-09.
Kang HU. The effects of quality of adolescents' peer relationship on smartphone dependency: the dual mediating effects of depression and academic helplessness. Korean J Cogn Behav Ther Couns. 2020. 2:59–74.
Kardefelt-Winther D. A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Comput Hum Behav. 2014. 31:351–4.
https://doi.org/10.1016/j.chb.2013.10.059.
Kim BN., Ko EJ., Choi HI. A study on factors affecting smartphone addiction in university students: a focus on differences in classi-fying risk groups. Stud Korean Youth. 2013. 24:67–98.
Kim DI., Chung YJ., Lee JY., Kim MC., Lee YH., Kang EB, et al. Development of smartphone addiction proneness scale for adults: self-report. Korea J Couns. 2012. 13:629–44.
Kim JB., Kim NH. Validation of student-teacher attachment relationship scale (STARS) as a basis for evaluating teachers' educational competencies. Korean J Educ Psychol. 2009. 23:697–714.
Kim JH. The path to smartphone addiction: is the depressed more vulnerable to the problematic smartphone use? Media Converg Res. 2014. 21:89–108.
Kim KI., Kim JH., Won HT. Korean manual of symptom checklist-90-revision. Seoul (Korea): Jung Ang Juk Sung Publisher;1984.
Kim KT., Lee HJ., Moon SI. Exploring the effects of network size, usage behaviors, and assimilation for peer relations on adolescents' smartphone addiction symptoms. Korean J Broadcast Telecommun Stud. 2016. 30:5–40.
Kim SW. The heterogeneous developmental trajectories of adolescent depression and their predictors focusing on gender difference. Stud Korean Youth. 2010. 21:171–92.
Kim TH., Jun YS., Shin YT., Lim SH., Seo JW. A preliminary study on the effectiveness of the peer relationship enhancement program in adolescents at risk for internet and smartphone addiction. J Korean Acad Child Adolesc Psychiatry. 2018. 29:40–6.
https://doi.org/10.5765/jkacap.2018.29.2.40.
Kim YH. Analysis of cell phone possession and use behavior of children and adolescents. Jincheon (Korea): Korea Information Society Development Institute;2019. Sep. Report No. KISDI STAT Report. p. 19–18.
Kwon M., Lee JY., Won WY., Park JW., Min JA., Hahn CT, et al. Development and validation of a smartphone addiction scale (SAS). PLoS One. 2013. 8:e56936.
La Greca AM., Harrison HM. Adolescent peer relations, friendships, and romantic relationships: do they predict social anxiety and depression? J Clin Child Adolesc Psychol. 2005. 34:49–61.
Lee EJ., Kim HO. Effects of depression and social interaction on smartphone addiction among female adolescents. J Child Adolesc Psychiatr Nurs. 2022. 35:68–75.
Lee HS., Ho G., Kwon J., Na EY. The effects of middle school students' peer relationships on smartphone dependence and mediation of social withdrawal. Korean J Journal Commun Stud. 2021. 65:89–126.
https://doi.org/10.20879/kjjcs.2021.65.5.003.
Lee S. Comparison study of protective and risk factors in youth's smartphone addiction and smartphone game addiction. J Youth Welf. 2015. 17:55–79.
Lee YS., Kim LS., Cho EH., Lee HS. A study on adolescents’ perceptions of smart phone uses: with a focus on the FGI of middle and high school users. Korea J Youth Couns. 2013. 21:43–66.
https://doi.org/10.35151/kyci.2013.21.1.003.
Lim KH. Psychometric properties of the symptom checklist-90-revision (SCL-90-R): on confirmatory factor analysis. Korean J Educ Psychol. 1997. 11:157–89.
http://www.riss.kr/link?id=A102749604.
Lopez-Fernandez O., Honrubia-Serrano L., Freixa-Blanxart M., Gibson W. Prevalence of problematic mobile phone use in British adolescents. Cyberpsychol Behav Soc Netw. 2014. 17:91–8.
https://doi.org/10.1089/cyber.2012.0260.
Mustafaoglu R., Yasaci Z., Zirek E., Griffiths MD., Ozdincler AR. The relationship between smartphone addiction and musculoskeletal pain prevalence among young population: a cross-sectional study. Korean J Pain. 2021. 34:72–81.
https://doi.org/10.3344/kjp.2021.34.1.72.
National Information Society Agency (NIA). 2021 Survey on current condition of smartphone overdependence. Daegu (Korea): NIA;2021. Report No. NIA Ⅷ-RSE-C-21048.
Soh S., Ju J., Cho EH., Son YM., Baik J. A qualitative study exploring adolescents’ experiences of anxiety and depression and the re-covery process. Korea J Youth Couns. 2021. 29:229–54.
https://doi.org/10.35151/kyci.2021.29.1.011.
Wang P., Zhao M., Wang X., Xie X., Wang Y., Lei L. Peer relationship and adolescent smartphone addiction: the mediating role of self-esteem and the moderating role of the need to belong. J Behav Addict. 2017. 6:708–17.