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Relationship between types of smartphone use among adolescents and smartphone addiction: focusing on gender differences
1Department of Social Welfare, The Catholic University of Korea, 14662 Buchecon-si, Republic of Korea
2Department of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX 77840, USA
3Seoul Metropolitan Council Health & Welfare Committee, 04519 Seoul, Republic of Korea
4Department of Social Welfare, Jeonbuk National University, 54896 Jeonju-si, Republic of Korea
DOI: 10.22514/jomh.2025.034 Vol.21,Issue 3,March 2025 pp.33-43
Submitted: 30 September 2024 Accepted: 27 November 2024
Published: 30 March 2025
*Corresponding Author(s): Seoyoon Lee E-mail: sy.lee@tamu.edu
Background: With the increasing prevalence of smartphone ownership among adolescents in South Korea, understanding usage patterns and their consequences has become a priority. This study aimed to examine smartphone usage patterns and their association with smartphone addiction, with a specific focus on gender differences. Methods: Data were derived from the 2022 Korean Children and Youth Panel Survey (KCYPS), which included 4524 adolescents. Latent profile analysis was used to identify distinct smartphone usage patterns based on the frequency of use across various activities. Multiple regression analysis was performed to assess the relationship between these usage patterns and smartphone addiction levels. Results: Four distinct smartphone usage profiles were identified for both genders. For males, these profiles included the “High Usage Group”, “Family & Friends Focused-Group”, “Moderate Usage Group” and “Family & Friends Focused-Low Usage Group”. Both male and female adolescents were predominantly categorized in the “Moderate” and “High Usage Groups”. Among males, those in the “High Usage Group” exhibited significantly higher levels of smartphone addiction compared to those in the “Family & Friends Focused-Group” and “Family & Friends Focused-Low Usage Group”, potentially due to excessive use of social networking, gaming and video-watching applications. Female adolescents in the “High Usage Group” demonstrated higher addiction levels compared to the “Family & Friends Focused-Group” and “Moderate Usage Group”, which may be associated with reduced engagement in intimate peer relationships and emotional sharing in groups with less frequent smartphone use. Conclusions: These findings indicate the necessity for gender-specific interventions to address smartphone addiction among adolescents, emphasizing the importance of developing targeted strategies for addiction prevention and policy formulation.
Smartphone addiction; Adolescent behavior; Usage patterns; Gender differences
Sunghwan Cho,Seoyoon Lee,Hyun-Jae Woo,Yun-Hee Ko,Kyu-Hyoung Jeong. Relationship between types of smartphone use among adolescents and smartphone addiction: focusing on gender differences. Journal of Men's Health. 2025. 21(3);33-43.
[1] Pew Research Center. Smartphone ownership is growing rapidly around the world, but not always equally. 2019. Available at: https://www.pewresearch.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally (Accessed: 10 May 2024).
[2] Gallup Korea. 2012–2023 Survey on smartphone usage & brand, smartwatch, wireless earphone. 2023. Available at: https://www.gallup.co.kr/gallupdb/reportContent.asp?seqNo=1405 (Accessed: 10 May 2024).
[3] Kim GH, Kong SY. Weekday and weekend media usage types and smartphone addiction among early adolescents: focusing latent profile analysis. Educational Culture Research. 2024; 30: 287–309. (In Korean)
[4] 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 Journal of Broadcasting and Telecommunication Studies. 2016; 30: 5–40. (In Korean)
[5] He A, Wan J, Hui Q. The relationship between mobile phone dependence and mental health in adolescents: the mediating role of academic burnout and the moderating role of coping styles. Best Evidence of Chinese Education. 2022; 12: 1581–1587.
[6] Xiong S, Zhang A, Zhang B, Xu Y. Patterns of smartphone addiction in adolescents and their association with multiple ecological factors: a latent profile analysis. Children and Youth Services Review. 2023; 155: 107223.
[7] Ministry of Science and ICT & National Information Society Agency. The survey on smartphone overdependence. Sejong: Ministry of Science and ICT, Daegu: National Information society Agency. 2023. Available at: https://www.nia.or.kr/site/nia_kor/ex/bbs/View.do?cbIdx=65914&bcIdx=26508&parentSeq=26508 (Accessed: 29 July 2024).
[8] Chae IS, Lee SJ. The effects of adolescent smartphone dependence on cyber delinquency: mediating effect of depression and academic helplessness. The Journal of Humanities and Social Science 21. 2022; 13: 923–936. (In Korean)
[9] Jeon HS. A qualitative case study of smartphone overdependence among out-of-school adolescents. Health and Social Welfare Review. 2023; 43: 48–72. (In Korean)
[10] Lee ET, Oh SG. The mediating effect of life satisfaction and self-esteem in the relationship between youth experience activities and smartphone overdependence. Studies on Korean Youth. 2021; 32: 35–63. (In Korean)
[11] Lee JY, Chi MW, Lee JY. The relationship between adolescents’ academic helplessness over-dependence on smartphones: the moderating effect of depression. The Journal of Counseling Psychology Education Welfare. 2021; 8: 135–147. (In Korean)
[12] Karakose T, Tulubas T, Papadakis S. Revealing the intellectual structure and evolution of digital addiction research: an integrated bibliometric and science mapping approach. International Journal of Environmental Research and Public Health. 2022; 19: 14883.
[13] Tulubas T, Karakose T, Papadakis S. A holistic investigation of the relationship between digital addiction and academic achievement among students. European Journal of Investigation in Health, Psychology and Education. 2023; 13: 2006–2034.
[14] Marin-Diaz V, Munoz-Gonzalez JM, Sampedro-Requena BE. Problematic relationships with smartphones of Spanish and Colombian university students. International Journal of Environmental Research and Public Health. 2020; 17: 5370.
[15] Lee EJ, Kim YK, Lim SJ. Factors influencing smartphone addiction in adolescents. Child Health Nursing Research. 2017; 23: 525–533. (In Korean)
[16] Claesdotter-Knutsson E, Andre F, Fridh M, Delfin C, Hakansson A, Lindstrom M. Gender-based differences and associated factors surrounding excessive smartphone use among adolescents: cross-sectional study. Journal of Medical Internet Research Pediatrics and Parenting. 2021; 4: e30889.
[17] Noh D, Shim MS. Factors influencing smartphone overdependence among adolescents. Scientific Reports. 2024; 14: 7725.
[18] Chiang JT, Chang FC, Lee KW, Hsu SY. Transitions in smartphone addiction proneness among children: the effect of gender and use patterns. PLOS ONE. 2019; 14: e0217235.
[19] Alotaibi MS, Fox M, Coman R, Ratan ZA, Hosseinzadeh H. Smartphone addiction prevalence and its association on academic performance, physical health, and mental well-being among university students in Umm Al-Qura University (UQU), Saudi Arabia. International Journal of Environmental Research and Public Health. 2022; 19: 3710.
[20] Bhanderi DJ, Pandya YP, Sharma DB. Smartphone use and its addiction among adolescents in the age group of 16–19 years. Indian Journal of Community Medicine. 2021; 46: 88–92.
[21] Khalid B. Gender-based analysis of intrinsic and extrinsic motivation among university-level students in Pakistan. 2nd International lzmir Congress on Humanities and Social Sciences. Turkey and 14–16 October 2023. BZT Academy: Beyoğlu. 2024.
[22] Kim HM, Shin SH. Comparison of gender factors affecting middle school students’ smartphone addiction. Journal of Korean Academy of Psychiatric and Mental Health Nursing. 2015; 24: 145–155.
[23] Kyoung SK, Kim JW. A study on smartphone addiction in teenager: focused on comparison smartphone overdependence, game addiction, SNS addiction. Research Institute for Life and Culture Sogang University. 2019; 52: 179–200. (In Korean)
[24] Van Deursen AJAM, Bolle CL, Hegner SM, Kommers PAM. Modelling habitual and addictive smartphone behavior. The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior. 2015; 45: 411–420.
[25] Ventura Roque-Hernandez R, Salazar-Hernandez R, Lopez-Mendoza A. Gender differences in smartphone use: a quantitative study among Mexican university students. Educar. 2024; 60: 429–445.
[26] Lee HN, Yang SM. Differential effects of parenting styles, psychological traits, and purpose of smartphone use upon Korean adolescents’ smartphone dependence. Korean Journal of Journalism and Communication Studies. 2018; 62: 175–214. (In Korean)
[27] Gezgin DM. Understanding patterns for smartphone addiction: age, sleep duration, social network use and fear of missing out. Cypriot Journal of Educational Sciences. 2018; 13: 166–177.
[28] Kim HJ. Survey on mobile phone use and addiction of fifth and sixth grade students: focused on big, medium, and small cities. Major in Elementary Computer Education Graduate School of Education Chinju National University of Education Jinju, Korea. 2012. Available at: https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=DIKO0013929734 (Accessed: 28 July 2024).
[29] Daoud O, Abdo JB, Demerjian J. Implications of smartphone addiction on university students in urban, suburban and rural areas. International Journal of Education Economics and Development. 2021; 12: 17–26.
[30] Lee EJ, Kim HO. Effects of depression and social interaction on smartphone addiction among female adolescents. Journal of Child and Adolescent Psychiatric Nursing. 2022; 35: 68–75.
[31] Lee EJ, Park CH, Kim HO. Relationship between peer relationships and problematic smartphone use among female adolescents: the mediating effect of depression. Journal of Korean Maternal and Child Health. 2023; 27: 14–23. (In Korean)
[32] Haug S, Paz Castro R, Kwon M, Filler A, Kowatsch T, Schaub MP. Smartphone use and smartphone addiction among young people in Switzerland. Journal of Behavioral Addictions. 2015; 4: 299–307.
[33] Park SM, Lee JY. Analysis of latent profiles and influencing factors on adolescents internet game addiction. Korean Journal of Counseling. 2018; 19: 203–224. (In Korean)
[34] Laursen B, Hoff E. Person-centered and variable-centered approaches to longitudinal data. Merrill-Palmer Quarterly. 2006; 52: 377–389.
[35] Geiser C, Lockhart G. A comparison of four approaches to account for method effects in Iatent state-trait analyses. Psychological Methods. 2012; 17: 255–283.
[36] Bae SR, Kim HJ, Seong EM. Survey on the Status of Youth Media Use, Ministry of Gender Equality and Family. 2013. Available at: https://scienceon.kisti.re.kr/srch/selectPORSrchReport.do?cn=TRKO201600013279# (Accessed: 12 August 2024).
[37] Kim D, Lee Y, Lee J, Nam JK, Chung Y. Development of Korean smartphone addiction proneness scale for youth. PLOS ONE. 2014; 9: e97920.
[38] Muthen B. Latent variable mixture modeling. In Marcoulides GA, Schumacker RE (eds.) New developments and techniques in structural equation modeling (pp. 1–33). Lawrence Erlbaum Associates: Mahwah, NJ. 2001.
[39] Muthen L, Muthen B. Mplus user’s guide. 7th edn. Muthen & Muthen: Los Angeles, CA. 2015.
[40] Muthen B, Muthen LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research. 2000; 24: 882–891.
[41] Jung T, Wickrama KA. An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass. 2008; 2: 302–317.
[42] Mo SH, Moon EO. Korean children and adolescents panel survey V.: basic analysis report II.—analysis of youth media use and trend. 2014. Available at: https://www.nypi.re.kr/brdrr/boardrrView.do?menu_nix=4o9771b7&brd_id=BDIDX_PJk7xvf7L096m1g7Phd3YC&cont_idx=485&seltab_idx=0 (Accessed: 20 August 2024).
[43] Bae SM. Influence of smartphone usage types and excessive expectation for smartphone on adolescents’ smartphone overdependence. Informatization Policy. 2018; 25: 65–83. (In Korean)
[44] Cho SH. The factors affecting on adolescents’ self-control of adult video viewing. Journal of Communication Science. 2020; 20: 220–255. (In Korean)
[45] Ju SJ, Cho SS. 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. Korean Association of Youth Welfare. 2017; 17: 97–118. (In Korean)
[46] Lee SJ, Kim YJ. The mediating effect of self-control and the moderated mediating effect of peer attachment in the effect of depression on smartphone addiction in adolescents. Asia-Pacific Journal of Convergent Research Interchange. 2024; 10: 455–469.
[47] Jeon HS, Chun JS. Improving the effectiveness of smartphone addiction treatment program for adolescents: implications from focus group interviews. Health and Social Welfare Review. 2017; 37: 459–494. (In Korean)
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