Abstract
This research aimed to examine the impact of academic motivation and academic stress on mobile phone addiction, with a focus on the mediating role of wisdom. Employing a descriptive-correlational approach within an applied research framework, the study surveyed 375 female high school students from two institutions in Hamedan district using convenience sampling. Utilizing instruments including Ardelt’s wisdom questionnaire (2003), Gadzella’s academic stress questionnaire (1991), Koo Hy’s phone addiction scale (2009), and Harter’s academic motivation questionnaire (1981), data were analyzed through structural equation modeling. The results revealed that wisdom significantly mediated the relationships between academic stress, motivation, and mobile phone addiction. Notably, the direct effects of stress on wisdom and mobile phone addiction were statistically significant, as were the indirect effects of stress and motivation on mobile phone addiction. While the direct effect of motivation on mobile phone addiction was not significant, wisdom demonstrated a substantial direct influence on mobile phone addiction. This investigation sheds light on the intricate dynamics of these variables and underscores the vital role of wisdom in understanding and addressing mobile phone addiction.
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Data Availability
The data that support the findings of this study are available from the corresponding author upon request.
References
Abolmaali Alhoseini, K. (2020). The effect of wisdom and socio-economic status of the family through the mediation of academic self-concept on academic vitality. Iranian Journal of Educational Sociology, 3(1), 157–166. https://doi.org/10.52547/ijes.3.1.157.
Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30(1), 47–88. https://doi.org/10.1111/j.1745-9125.1992.tb01093.x.
Akbari, A., Hashemi, S., & Khabbazi Kenari, M. (2016). The psychometric characteristics of wisdom scale (WS). Positive Psychology Research, 2(2), 19–34. https://doi.org/10.22108/ppls.2016.21334.
Akyol, N. A., Ergin, D. A., Krettmann, A. K., & Essau, C. A. (2021). Is the relationship between problematic mobile phone use and mental health problems mediated by fear of missing out and escapism? Addictive behaviors reports, 14, 100384. https://doi.org/10.1016/j.abrep.2021.100384.
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (Vol. 5). American psychiatric association Washington, DC. https://doi.org/https://www.academia.edu/download/38718268/csl6820_21.pdf.
Arabzadeh, M., Kavossian, J., & Karimi, K. (2017). Investigate the relationship between self-efficacy and hope with academic achievement in students. 7(4), 137–150. https://doi.org/http://dorl.net/dor/20.1001.12383353.1397.7.4.8.3.
Ardelt, M. (2003). Empirical assessment of a three-dimensional wisdom scale. Research on Aging, 25(3), 275–324. https://doi.org/10.1177/0164027503025003004.
Ardelt, M., & Bruya, B. (2021). Three-dimensional wisdom and perceived stress among college students. Journal of Adult Development, 28, 93–105. https://doi.org/10.1007/s10804-020-09358-w.
Austin, J. L., Jeffries, E. F., Winston, I. I. I., W., & Brady, S. S. (2022). Race-related stressors and resources for resilience: Associations with emotional health, conduct problems, and academic investment among African American early adolescents. Journal of the American Academy of Child & Adolescent Psychiatry, 61(4), 544–553. https://doi.org/10.1016/j.jaac.2021.05.020.
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2015). The brain in your pocket: Evidence that smartphones are used to supplant thinking. Computers in Human Behavior, 48, 473–480. https://doi.org/10.1016/j.chb.2015.02.029.
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y.
Choi, C., Lee, J., Yoo, M. S., & Ko, E. (2019). South Korean children’s academic achievement and subjective well-being: The mediation of academic stress and the moderation of perceived fairness of parents and teachers. Children and Youth Services Review, 100, 22–30. https://doi.org/10.1016/j.childyouth.2019.02.004.
Clarke, D. E. (1995). Vulnerability to stress as a function of age, sex, locus of control, hardiness and type a personality. Social Behavior and Personality: An International Journal, 23(3), 285–286. https://doi.org/10.2224/sbp.1995.23.3.285.
Deci, E. L., & Ryan, R. M. (2000). The what and why of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01.
Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85–92. https://doi.org/10.1556/2006.4.2015.010.
e-Commerce (2023). C. f. t. D. o. The annual report of the development of electronic commerce in Iran. https://ecommerce.gov.ir/page/%D8%A7%DB%8C%D9%86%D9%81%D9%88%DA%AF%D8%B1%D8%A7%D9%81%DB%8C#.
Fallah, T., Hafezi, F., Makvandi, B., & Bavi, S. (2020). The effectiveness of flipped classroom technique in promoting academic motivation and self-efficacy among students. Iranian Journal of Learning & Memory, 3(11), 69–75. https://doi.org/10.22034/iepa.2021.245649.1203.
Fennell, C., Barkley, J. E., & Lepp, A. (2019). The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior, 90, 53–59. https://doi.org/10.1016/j.chb.2018.08.044.
Gadzella, B. M., & Baloglu, M. (2001). Confirmatory factor analysis and internal consistency of the student-life stress inventory. Journal of Instructional Psychology, 28(2), 84–84. https://www.proquest.com/scholarly-journals/confirmatory-factor-analysis-internal-consistency/docview/1416362160/se-2.
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.
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359.
Gutierrez, D., Foxx, S. P., & Kondili, E. (2018). Investigating the effectiveness of a motivational interviewing group on academic motivation. Journal of School Counseling, 16(14), n14. https://doi.org/http://files.eric.ed.gov/fulltext/EJ1185874.pdf.
Hitches, E., Woodcock, S., & Ehrich, J. (2022). Building self-efficacy without letting stress knock it down: Stress and academic self-efficacy of university students. International Journal of Educational Research Open, 3, 100124. https://doi.org/10.1016/j.ijedro.2022.100124.
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.
Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179–186. https://doi.org/10.1016/j.chb.2015.12.061.
Jun, S., & Choi, E. (2015). Academic stress and internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287. https://doi.org/10.1016/j.chb.2015.03.001.
Karimi, K., Kavousian, J., Karamati, H., Arabzadeh, M., & Ramezani, V. (2016). Structural model of perfectionism, academic motivation and psychological well-being in high school students. Journal of Applied Psychology, 10(3), 311–327. https://doi.org/https://dorl.net/dor/20.10011.20084331.1395.10.4.3.9.
Koo, H. Y. (2009). Development of a cell phone addiction scale for Korean adolescents. Journal of Korean Academy of Nursing, 39(6), 818–828. https://doi.org/10.4040/jkan.2009.39.6.818.
Kordnoghabi, R., & Asoudeh, M. (2021). The effectiveness of wisdom-therapy on EFL teachers’ occupational burnout. Iranian Journal of Learning & Memory, 4(15), 15–28. https://doi.org/10.22034/iepa.2021.145349.
Kuss, D. J., Griffiths, M. D., & Pontes, H. M. (2017). Chaos and confusion in DSM-5 diagnosis of internet gaming disorder: Issues, concerns, and recommendations for clarity in the field. Journal of Behavioral Addictions, 6(2), 103–109. https://doi.org/10.1556/2006.5.2016.062.
Kwon, Y. S., & Paek, K. S. (2016). The influence of smartphone addiction on depression and communication competence among college students. Indian Journal of Science and Technology, 9(41), 1–8. https://doi.org/10.17485/ijst/2016/v9i41/103844.
Kwon, M. S., & Yu, J. S. (2020). Development and effect of a smartphone overdependence prevention program for university students based on self-determination theory. Journal of Korean Academy of Nursing, 50(1), 116–131. https://doi.org/10.4040/jkan.2020.50.1.116.
Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., Gu, X., Choi, J. H., & Kim, D. J. (2013). Development and validation of a Smartphone Addiction Scale (SAS) Laks J, editor. PLoS ONE, 8(2), e56936. https://doi.org/10.1371/journal.pone.0056936.
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer publishing company.
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of US college students. Sage Open, 5(1), 2158244015573169. https://doi.org/10.1177/2158244015573169.
Monk, E. M. (2004). Student mental health: The case studies. Counselling Psychology Quarterly, 17(4), 395–412. https://doi.org/10.1080/09515070412331331200.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879.
Poushter, J., Bishop, C., & Chwe, H. (2018). Social media use continues to rise in developing countries but plateaus across developed ones, 2018. Pew Research Center,(Accessed January 23, 2019, at http://www.pewglobal.org/2018/06/19/social-media-use-continues-to-rise-in-developing-countries-but-plateaus-across-developed-ones/#table.)
Pozos-Radillo, B. E., de Lourdes Preciado-Serrano, M., Acosta-Fernández, M., de los Ángeles, Aguilera-Velasco, M., & Delgado-García, D. D. (2014). Academic stress as a predictor of chronic stress in university students. Psicología educativa, 20(1), 47–52. https://doi.org/10.1016/j.pse.2014.05.006.
Segredo Pérez, A. M., Veloso Pérez, E., & Rodríguez Santos, R. M. (2004). El estrés, Su comportamiento en la Atención Primaria De Salud. Revista Cubana De Medicina General Integral, 20(4), 1–5.
Sepahi, S., & Nahooki, A. (2017). The relationship between internet addiction and academic achievement in high school students. Journal of Research in Psychology and Education, 2(14), 17–32.
Sevari, K., Falahi, M., & Arab, G. A. K. S. H. (2020). The effects of stress on academic procrastination through the mediation of academic motivation and internet addiction. Scientific Journal of Education Strategies in Medical Sciences, 13(6), 553–560. https://doi.org/10.29252/shenakht.5.6.57.
Shahroudi, S., Soltani, F., Nouri, N., & Rigi, A. (2019). The relationship between cell-phone addiction with the academic achievement motivation and academic performance of students in Khash Baluchestan. Shenakht Journal of Psychology and Psychiatry, 5(6), 57–70.
Shamsnezhad, L., Hosseininasab, S. D., & Livarjani, S. (2020). The role of achievement motivation and test anxiety in predicting students’ self-handicapping and procrastination. Iranian Journal of Learning & Memory, 2(8), 45–52. https://doi.org/10.22034/iepa.2020.234196.1174.
Sipednameh, B., Seraji, F., Asgari Motte, A., Momeni, H., & Zamani, S. (2023). Investigating the frequency and type of virtual space use among high school students: Case study of Hamedan province. Educational Technologies in Learning, 6(19), 64–82. https://doi.org/10.22054/jti.2023.59993.1328.
Song, W. J., & Park, J. W. (2019). The influence of stress on internet addiction: Mediating effects of self-control and mindfulness. International Journal of Mental Health and Addiction, 17, 1063–1075. https://doi.org/10.1007/s11469-019-0051-9.
Sternberg, R. J. (1998). A balance theory of wisdom. Review of General Psychology, 2(4), 347–365. https://doi.org/10.1037/1089-2680.2.4.347.
Tapia, V., Guajardo, C., & Quintanilla, A. (2008). Cognitive styles in wellbeing and stress. Revista Mexicana De Psicología(Special Issue), 388–389.
Titrek, O., Çetin, C., Kaymak, E., & Kasikci, M. M. (2018). Academic motivation and academic self-efficacy of prospective teachers. Journal of Education and Training Studies, 6(n11a), 77–87. http://files.eric.ed.gov/fulltext/EJ1208391.pdf.
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376.
Urdan, T., & Bruchmann, K. (2018). Examining the academic motivation of a diverse student population: A consideration of methodology. Educational Psychologist, 53(2), 114–130. https://doi.org/10.1080/00461520.2018.1440234.
Vardinejad, F., Senjari, A., & Taji, F. (2018). Investigating the relationship between Internet addiction and students’ academic progress. Media Management, 6(41), 65–76. https://www.mediamgt.ir/article_165586_f9f339a3fd7fc3b96d5a2d98aa99a8f2.pdf.
Wang, M., Brinkworth, M., & Eccles, J. (2013). The moderation effect of teacher-student relationship on the association between adolescents’ self-regulation ability, family conflict, and developmental problems. Developmental Psychology, 49, 690–705. https://doi.org/10.1037/a0027916.
Yang, S. (2013). Wisdom and good lives: A process perspective. New Ideas in Psychology, 31(3), 194–201. https://doi.org/10.1016/j.newideapsych.2013.03.001.
Yang, X., Liu, R. D., Ding, Y., Hong, W., & Ding, Z. (2023). Interpersonal relationships moderate the relation between academic stress and mobile phone addiction via depression among Chinese adolescents: A three-wave longitudinal study. Current Psychology, 42(22), 19076–19086. https://doi.org/10.1007/s12144-022-02951-0.
Yeo, S. K., & Lee, W. K. (2017). The relationship between adolescents’ academic stress, impulsivity, anxiety, and skin picking behavior. Asian Journal of Psychiatry, 28, 111–114. https://doi.org/10.1016/j.ajp.2017.03.039.
Zahiri Naw, B., & Rajabi, S. (2009). The study of variables reducing academic motivation of â Persian language and literatureâ students. Teaching and Learning Research, 7(1), 69–80. https://tlr.shahed.ac.ir/article_2227_en.html?lang=en.
Zhang, W., Yan, C., Shum, D., & Deng, C. (2020). Responses to academic stress mediate the association between sleep difficulties and depressive/anxiety symptoms in Chinese adolescents. Journal of Affective Disorders, 263, 89–98. https://doi.org/10.1016/j.jad.2019.11.157.
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Research ethics approval was obtained by the Institutional Review Board of Bu-Ali Sina University.
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Yaghoobi, A., Karimi, K., Asoudeh, M. et al. Associations Between Academic Motivation, Academic Stress, and Mobile Phone Addiction: Mediating Roles of Wisdom. Int J Ment Health Addiction (2024). https://doi.org/10.1007/s11469-024-01269-1
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DOI: https://doi.org/10.1007/s11469-024-01269-1