The Relationship among Parenting Style, Self-Regulation, and Smartphone Addiction Proneness in Indonesian Junior High School Students

Lailil Fatkuriyah, Chae Sun-Mi

Abstract


Background: Smartphone addiction leads to physical, psychological, and social consequences for users, particularly for adolescent users, as psychological development is still in the process of maturation. Individual and family characteristics are shown to contribute to shaping adolescent’s behavior related to smartphone usage. Specifically, perceived parenting style and self-regulation have been reported as significant factors influencing smartphone addiction among adolescents.

Objective: This study aims to identify the relationship among parenting style, self-regulation, and smartphone addiction proneness in Indonesian junior high school students.

Method: This study used a cross-sectional, descriptive study design. Data collection took place in five public junior high schools in Jember from the 7th of January to the 8th of February, 2019. The total sample of this study was 158, purposively asked to fill out three questionnaires: Parental Authority Questionnaire, Self-Regulation Questionnaire, and Smartphone Addiction Proneness Scale. Chi-square test and Pearson’s correlation coefficients were used to test the relationship between two variables.

Result: The differences in smartphone addiction proneness between the risk group and non-risk group were significant depending on gender (p=0.004), daily smartphone usage time (p=0.025), and purpose of smartphone usage (p=0.001). A significant negative correlation was found between self-regulation and smartphone addiction proneness (r= -0.448, p=0.001).

Conclusion: The current study found that 11.4% of junior high school students in Jember-Indonesia were categorized into risk groups for smartphone addiction. Gender, daily smartphone usage time, and purpose of smartphone usage showed significant differences between the risk group and the non-risk group. However, there was no difference in the parenting style of the mother between the two groups. Self-regulation showed a significant association with smartphone addiction. 


Keywords


smartphone addiction proneness; middle school students

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References


Aljomaa, S, S., Al.Qudah, M, F., Albursan, I, S., Bakhiet, S, F., & Abduljabbar, A, S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155-164. https://doi.org/10.1016/j.chb.2016.03.041

Bae, S., M. (2015). 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. School Psychology International, 36(5), 513-531. https://doi.org/10.1177/0143034315604017

Beaton, D, E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guideline for the process of cross-cultural adaptation of self-report measures. SPINE, 25(24), 3186-3191.

https://doi.org/10.1097/00007632-200012150-00014

Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge: Harvard University Press.

Cha, S, S., & Seo, B. K. (2018). Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health Psychol Open, 5(1). https://doi.org/10.1177/2055102918755046

Chen, B., Liu, F., Ding, S., Ying, X., Wang, L., & Wen, Y. (2017). Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students. BMC Psychiatry, 17(1), 341.

https://doi.org/10.1186/s12888-017-1503-z

Ching, H, K., & Tak, L, M. (2017). The structural media in parenting style, attachment style, self-regulation and self-esteem for smartphone addiction. Journal of Psychology and The Behavioral Sciences, 3(1), 85-103.

https://doi.org/10.22492/ijpbs.3.1.06

Chiu, S, I., Hong, F, Y., & Chiu, S, L. (2013). An Analysis on the Correlation and Gender Difference between College Students' Internet Addiction and Mobile Phone Addiction in Taiwan. ISRN Addict, 2013, 1-10. https://doi.org/10.1155/2013/360607

Frehat, M., & Abu-Shanab, E. (2014). The Role of Social Networking in the Social Reform on Young Society. 25-26.

https://doi.org/10.1145/2668260.2668269

Gökçearslan, Ş., Mumcu, F, K., Haşlaman, T., & Çevik, Y, D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639-649.

https://doi.org/10.1016/j.chb.2016.05.091

Haug, S., Castro, R, P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M, P. (2015). Smartphone use and smartphone addiction among young people in Switzerland. J Behav Addict, 4(4), 299-307. https://doi.org/10.1556/2006.4.2015.037

Husni, E, M., & Fatulloh, A. (2016). Categorization of internet users among elementary and middle school students by using Twostep Cluster method. Paper presented at the The National Seminar of Information and Technology Application (SNATi), Yogyakarta.

Hussain, Z., Griffiths, M, D., & Sheffield, D. (2017). An investigation into problematic smartphone use: The role of narcissism, anxiety, and personality factors. J Behav Addict, 6(3), 378-386. https://doi.org/10.1556/2006.6.2017.052

Jeong, S.-H., Kim, H., Yum, J.-Y., & Hwang, Y. (2016). What type of content are smartphone users addicted to?: SNS vs. games. Computers in Human Behavior, 54, 10-17.

https://doi.org/10.1016/j.chb.2015.07.035

Kim, Y., Jeong, J. E., Cho, H., Jung, D. J., Kwak, M., Rho, M. J., . . . Choi, I. Y. (2016). Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control. PLoS One, 11(8), e0159788.

https://doi.org/10.1371/journal.pone.0159788

Kumcagiz, H., & Gunduz, Y. (2016). Relationship between Psychological Well-Being and Smartphone Addiction of University Students. International Journal of Higher Education, 5(4).

https://doi.org/10.5430/ijhe.v5n4p144

Kuss, D. J., & Griffiths, M. D. (2017). Social Networking Sites and Addiction: Ten Lessons Learned. Int J Environ Res Public Health, 14(3).

https://doi.org/10.3390/ijerph14030311

Lee, H., Kim, J. W., & Choi, T. Y. (2017). Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns. J Korean Med Sci, 32(10), 1674-1679.

https://doi.org/10.3346/jkms.2017.32.10.1674

Lian, L., You, X., Huang, J., & Yang, R. (2016). Who overuses Smartphones? Roles of virtues and parenting style in Smartphone addiction among Chinese college students. Computers in Human Behavior, 65, 92-99.

https://doi.org/10.1016/j.chb.2016.08.027

Osatuyi, B., & Turel, O. (2018). Tug of war between social self-regulation and habit: Explaining the experience of momentary social media addiction symptomps. Computers in Human Behavior, 85, 95-105.

https://doi.org/10.1016/j.chb.2018.03.037

Ramzi, F., & Saed, O. (2019). The roles of self-regulation and self-control in Procrastination. Psychology and Behavioral Science International Journal, 13(3).

https://doi.org/10.19080/PBSIJ.2019.13.555863

Restuti, R. (2016). Relationship between self-regulation and media addiction. (Master), Gadjah Mada University, Yogyakarta.

Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632-2639.

https://doi.org/10.1016/j.chb.2013.07.003

Song, I., LaRose, R., Eastin, M. S., & Lin, C, A. (2004). Internet gratifications and internet addiction: On the uses and abuses of new media. CyberPsychol Behav, 7(4), 384-394.

https://doi.org/10.1089/cpb.2004.7.384

Shapiro, L, A, S., & Margolin, G. (2014). Growing up wired: social networking sites and adolescent psychosocial development. Clin Child Fam Psychol Rev, 17(1), 1-18.

https://doi.org/10.1007/s10567-013-0135-1

Tamami, A. N. I. (2011). The effect of parenting style and self-regulated learning on procrastination on middle school students in Pondok Pinang. Jurnal Sari Pediatric, 20.

Van Deursen, A, J, A, M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015). Modeling habitual and addictive smartphone behavior. Computers in Human Behavior, 45, 411-420.

https://doi.org/10.1016/j.chb.2014.12.039

Yoo, T. J., & Kim, S. S. (2015). Impact of perceived parenting styles on depression and smartphone addiction in college students Journal Korean Academy Psychiatric Mental Health Nursing 24(2), 127-135.

http://dx.doi.org/10.12934/jkpmhn.2015.24.2.127

Zhang, K, Z, K., Chen, C., & Lee, M, K. (2014). Understanding the role of motives in smartphone addiction. Paper presented at the Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Retrieved from https://www.scopus.com/record/display.uri?eid=2-s2.0-84928645102&origin=recordpage




DOI: https://doi.org/10.18196/ijnp.v5i1.11186

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