Skip to main content

Advertisement

Log in

Emotional Competence as a Mediator of the Relationship Between Internet Addiction and Negative Emotion in Young Adolescents in Hong Kong

  • Published:
Applied Research in Quality of Life Aims and scope Submit manuscript

Abstract

Excessive use of the Internet in adolescents has been consistently found associated with multiple health concerns, especially negative emotions, and adversely affected one’s quality of life. While emotional competence is considered an important protective factor for youth development, its role in the relationship between Internet addiction and negative mental health outcomes has not been thoroughly investigated. The present study tested the mediation vs. moderation effects of emotional competence in the relation between Internet addiction and negative emotion in young adolescents based on 404 Hong Kong secondary school students (age = 12.4 ± 0.8 years). The results of structural equation modeling supported the mediation effect of emotional competence, but not its moderation effect. Internet addiction has both a direct influence on adolescents’ negative emotions, and an indirect effect through decreasing emotional competence. In particular, regulation of emotion appeared to be the only emotional competence dimension that mediates the relationship between Internet addiction and negative emotions. The findings suggest the importance of promoting emotional regulation competence to improve the quality of life of adolescents with Internet addiction problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Austin, E. J., Saklofske, D. H., & Egan, V. (2005). Personality, well-being and health correlates of trait emotional intelligence. Personality and Individual Differences, 38(3), 547–558.

    Article  Google Scholar 

  • Bai, Y., & Fan, F. M. (2005). A study on the internet dependence of college students: the revising and applying of a measurement. Psychological Development and Education, 4, 99–104.

    Google Scholar 

  • Bar-On, R. (1997). The emotional quotient inventory (EQ-i): a test of emotional intelligence. Toronto: Multi-Health Systems, Inc..

    Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 5, 1173–1182.

    Article  Google Scholar 

  • Bar-On, R., Tranel, D., Denburg, N. L., & Bechara, A. (2003). Exploring the neurological substrate of emotional and social intelligence. Brain, 126, 1790–1800.

    Article  Google Scholar 

  • Benzies, K., & Mychasiuk, R. (2009). Fostering family resiliency: a review of the key protective factors. Child & Family Social Work, 14(1), 103–114.

    Article  Google Scholar 

  • Bodenmann, G., & Shantinath, S. D. (2004). The couples coping enhancement training (CCET): a new approach to prevention of marital distress based upon stress and coping. Family Relations, 53, 477–484.

    Article  Google Scholar 

  • Brackett, M. A., Rivers, S. E., & Salovey, P. (2011). Emotional intelligence: implications for personal, social, academic, and workplace success. Social and Personality Psychology Compass, 5(1), 88–103.

    Article  Google Scholar 

  • Carmeli, A., Yitzhak-Halevy, M., & Weisberg, J. (2009). The relationship between emotional intelligence and psychological wellbeing. Journal of Managerial Psychology, 24(1), 66–78.

    Article  Google Scholar 

  • Cash, H., Rae, D., & C., H. Steel, A., & Winkler, A. (2012). Internet addiction: a brief summary of research and practice. Current Psychiatry Reviews, 8(4), 292–298.

    Article  Google Scholar 

  • Chakraborty, K., Basu, D., & Kumar, K. V. (2010). Internet addiction: consensus, controversies, and the way ahead. East Asian Archives of Psychiatry, 20(3), 123.

    Google Scholar 

  • Chen, Y. F., & Peng, S. S. (2008). University students' internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. Cyberpsychology & Behavior, 11(4), 467–469.

    Article  Google Scholar 

  • Chen, S. H., Weng, L. J., Su, Y. J., Wu, H. M., & Yang, P. F. (2003). Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology, 45, 279–294.

    Google Scholar 

  • Cheng, C., & Li, A. Y. L. (2014). Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior and Social Networking, 17(12), 755–760.

    Article  Google Scholar 

  • Cheung, H. Y., Teo, T., & Hue, M.-T. (2017). Modeling the relationships among emotional intelligence, sensation-seeking and risk-taking attitudes of university students in Hong Kong. Journal of Risk Research, 20(5), 569–589.

    Google Scholar 

  • Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H., & Yildirim, F. G. (2013). Relationship of internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychology, Behavior and Social Networking, 16(4), 272–278.

    Article  Google Scholar 

  • Davis, S. K., & Humphrey, N. (2012a). Emotional intelligence as a moderator of stressor - mental health relations in adolescence: evidence for specificity. Personality and Individual Differences, 52(1), 100–105.

    Article  Google Scholar 

  • Davis, S. K., & Humphrey, N. (2012b). The influence of emotional intelligence (EI) on coping and mental health in adolescence: divergent roles for trait and ability EI. Journal of Adolescence, 35(5), 1369–1379.

    Article  Google Scholar 

  • Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2011). Precursor or sequela: pathological disorders in people with internet addiction disorder. PLoS One, 6(2), 1–5. https://doi.org/10.1371/journal.pone.0014703.

    Article  Google Scholar 

  • Engelberg, E., & Sjöberg, L. (2004). Internet use, social skills and adjustment. CyberPsychology and Behavior, 7, 41–48.

    Article  Google Scholar 

  • Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D., Fung, D., & Khoo, A. (2011). Pathological video game use among youths: a two-year longitudinal study. Pediatrics, 127(2), e319–e329.

    Article  Google Scholar 

  • Giedd, J. N. (2012). The digital revolution and adolescent brain evolution. Journal of Adolescent Health, 51, 101–105.

    Article  Google Scholar 

  • Goldberg, I. (1995). Internet Addiction Disorder (IAD) - Diagnostic criteria. http://www-usr.rider.edu/~suler/psycyber/supportgp.html. Accessed 3 Jan 2011.

  • Goleman, D. (1995). Emotional intelligence. New York: Bantam Books.

    Google Scholar 

  • Hamama, R., Ronen, T., & Feigin, R. (2000). Self-control, anxiety, and loneliness in siblings of children with cancer. Social Work in Health Care, 31(1), 63–83.

    Article  Google Scholar 

  • Horwitz, A. V. (2007). Distinguishing distress from disorder as psychological outcomes of stressful social arrangements. Health (London, England), 11(3), 273–289.

    Article  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: concepts, issues and application (pp. 77–99). Thousand Oaks: Sage.

    Google Scholar 

  • Kim, K., Ryu, E., Chon, M. Y., Yeun, E. J., Choi, S. Y., Seo, J. S., & Nam, B. W. (2006). Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. International Journal of Nursing Studies, 43(2), 185–192.

    Article  Google Scholar 

  • Kline, R. B. (2010). Principles and practice of structural equation modeling. New York: Guilford Press.

    Google Scholar 

  • Knapp, M. L., & Hall, J. A. (2010). Nonverbal communication in human interaction. Boston: Wadsworth Cengage Learning.

    Google Scholar 

  • Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. C., Yen, C. N., & Chen, S. H. (2005a). Screening for internet addiction: an empirical study on cut-off points for the Chen internet addiction scale. The Kaohsiung Journal Medical Sciences, 21(12), 545–551.

    Article  Google Scholar 

  • Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., & Yen, C. F. (2005b). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 193(4), 273–277.

    Article  Google Scholar 

  • Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: a social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017–1031.

    Article  Google Scholar 

  • Kun, B., & Demetrovics, Z. (2010). Emotional intelligence and addictions: a systematic review. Substance Use & Misuse, 45(7–8), 1131–1160.

    Article  Google Scholar 

  • Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: a systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026–4052.

    Article  Google Scholar 

  • Lam, L. T., & Peng, Z. W. (2010). Effect of pathological use of the internet on adolescent mental health: a prospective study. Archives of Pediatrics & Adolescent Medicine, 164(10), 901–906.

    Article  Google Scholar 

  • Law, K. S., Wong, C. S., Huang, G. H., & Li, X. (2008). The effects of emotional intelligence on job performance and life satisfaction for the search and development scientists in China. Asia Pacific Journal of Management, 25, 51–69.

    Article  Google Scholar 

  • Leary, M. R. (1990). Responses to social exclusion: social anxiety, jealousy, loneliness, depression, and low self-esteem. Journal of Social and Clinical Psychology, 9(2), 221–229.

    Article  Google Scholar 

  • Li, X. (2017). Cumulative risk and Chinese adolescent problematic Internet use: The mediating role of self-esteem (Unpublished doctoral dissertation). The State University of New York at Albany, New York, United States.

  • Libbrecht, N., Lievens, F., & Schollaert, E. (2010). Measurement equivalence of the Wong and Law emotional intelligence scale across self and other ratings. Educational and Psychological Measurement, 70, 1007–1020.

    Article  Google Scholar 

  • Lin, M. P., Ko, H. C., & Wu, J. Y. (2011). Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychology, Behavior and Social Networking, 14, 741–746.

    Article  Google Scholar 

  • Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the depression anxiety stress scales. Sydney: Psychology Foundation.

    Google Scholar 

  • Ma, C. M. S., Shek, D. T. L., & Chen, J. M. T. (2019). Changes in the participants in a community-based positive youth development program in Hong Kong: objective outcome evaluation using a one-group pretest-posttest design. Applied Research Quality Life, 14(4), 961–979.

    Article  Google Scholar 

  • Mak, K. K., Lai, C. M., Ko, C. H., Chou, C., Kim, D. I., Watanabe, H., & Ho, R. C. (2014). Psychometric properties of the revised Chen internet addiction scale (CIAS-R) in Chinese adolescents. Journal of Abnormal Child Psychology, 42(7), 1237–1245.

    Article  Google Scholar 

  • Martins, A., Ramalho, N., & Morin, E. (2010). A comprehensive meta-analysis of the relationship between emotional intelligence and health. Personality and Individual Differences, 49, 554–564.

    Article  Google Scholar 

  • Mirowsky, J., & Ross, C. (2002). Measurement for a human science. Journal of Health and Social Behavior, 43(2), 152–170.

    Article  Google Scholar 

  • Nalwa, K., & Anand, A. P. (2003). Internet addiction in students: a cause of concern. Cyberpsychology & Behavior, 6(6), 653–656.

    Article  Google Scholar 

  • Nie, N. H., Hillygus, D. S., & Erbring, L. (2002). Internet use, interpersonal relations, and sociability: a time diary study. In B. Wellman & C. Haythornthwaite (Eds.), The internet in everyday life (pp. 213–243). Oxford: Blackwell.

    Chapter  Google Scholar 

  • Nook, E. C., Sasse, S. F., Lambert, H. K., McLaughlin, K. A., & Somerville, L. H. (2018). The nonlinear development of emotion differentiation: granular emotional experience is low in adolescence. Psychological Science, 29(8), 1346–1357.

    Article  Google Scholar 

  • Ostovar, S., Allahyar, N., Aminpoor, H., Moafian, F., Nor, M. B. M., & Griffiths, M. D. (2016). Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among Iranian adolescents and young adults: a structural equation model in a cross-sectional study. International Journal of Mental Health and Addiction, 14(3), 257–267.

    Article  Google Scholar 

  • Park, S., Kang, M., & Kim, E. (2014). Social relationship on problematic internet use (PIU) among adolescents in South Korea: a moderated mediation model of self-esteem and self-control. Computers in Human Behavior, 38, 349–357.

    Article  Google Scholar 

  • Parker, J. D. A., Taylor, R. N., Eastabrook, J. M., Schell, S. L., & Wood, L. M. (2008). Problem gambling in adolescence: relationships with internet misuse, gaming abuse and emotional intelligence. Personality and Individual Differences, 45, 174–180.

    Article  Google Scholar 

  • Philippot, P., Kornreich, C., Blairy, S., Baert, Y., Den Dulk, A., Le Bon, O., Verbanck, P., Hess, U., & Pelc, I. (1999). Alcoholics’ deficits in the decoding of emotional facial expression. Alcoholism: Clinical and Experimental Research, 23, 1031–1038.

    Google Scholar 

  • Pontes, H. M., Griffiths, M. D., & Patrão, I. M. (2014). Internet addiction and loneliness among children and adolescents in the education setting: an empirical pilot study. Aloma, 32, 91–99.

    Google Scholar 

  • Proctor, C., Tsukayama, E., Wood, A. M., Maltby, J., Eades, J. F., & Linley, P. A. (2011). Strengths gym: the impact of a character strengths-based intervention on the life satisfaction and well-being of adolescents. Journal of Positive Psychology, 6, 377–388.

    Article  Google Scholar 

  • Psychology Foundation of Australia (2018). Overview of the DASS and its uses. Retrieved from http://www2.psy.unsw.edu.au/dass//over.htm.

  • Qi, S., Hua, F., Zhou, Z., & Shek, D. T. L. (2020). Trends of positive youth development publications (1995–2020): a scientometric review. Applied Research Quality Life. https://doi.org/10.1007/s11482-020-09878-3.

  • Resurreccion, D. M., Salguero, J. M., & Ruiz-Aranda, D. (2014). Emotional intelligence and psychological maladjustment in adolescence: a systematic review. Journal of Adolescence, 37(4), 461–472.

    Article  Google Scholar 

  • Rivers, S. E., Brackett, M. A., Reyes, M. R., Elbertson, N. A., & Salovey, P. (2013). Improving the social and emotional climate of classrooms: a clustered randomized controlled trial testing the RULER approach. Prevention Science, 14(1), 77–87.

    Article  Google Scholar 

  • Russell, D. (1996). UCLA loneliness scale (version 3): reliability, validity, and factor structure. Journal of Personality Assessment, 66, 20–40.

    Article  Google Scholar 

  • Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition, and Personality, 9, 185–211.

    Article  Google Scholar 

  • Salovey, P., Stroud, L. R., Woolery, A., & Epel, E. S. (2002). Perceived emotional intelligence, stress reactivity, and symptom reports: further explorations using the trait meta-mood scale. Psychology & Health, 17(5), 611–627.

    Article  Google Scholar 

  • Sepede, G., Tavino, M., Santacroce, R., Fiori, F., Salerno, R. M., & Di Giannantonio, M. (2016). Functional magnetic resonance imaging of internet addiction in young adults. World Journal of Radiology, 8(2), 210–225.

    Article  Google Scholar 

  • Shaw, L. H., & Gant, L. M. (2002). In defense of the internet: the relationship between internet communication and depression, loneliness, self-esteem, and perceived social support. Cyberpsychology & Behavior, 5(2), 157–171.

    Article  Google Scholar 

  • Shek, D. T., Ma, C. M. (2012). Impact of the Project P.A.T.H.S. in the junior secondary school years: objective outcome evaluation based on eight waves of longitudinal data. The Scientific World Journal. 170345. https://doi.org/10.1100/2012/170345.

  • Shek, D. T. L., & Yu, L. (2012). Longitudinal impact of the project PATHS on adolescent risk behavior: what happened after five years? The Scientific World Journal. 316029. https://doi.org/10.1100/2012/316029.

  • Shek, D. T. L., & Zhu, Z. Q. (2020). Promotion of thriving among Hong Kong Chinese adolescents: evidence from eight-wave data. Research on Social Work Practice, 30(8), 870–883.

    Article  Google Scholar 

  • Shek, D. T. L., Dou, D., Zhu, X., & Chai, W. Y. (2019). Positive youth development: current perspectives. Adolescent Health, Medicine and Therapeutics, 10, 131–141.

    Article  Google Scholar 

  • Shek, D. T., Lin, L., Ma, C. M., et al. (2020). Perceptions of adolescents, teachers and parents of life skills education and life skills in high school students in Hong Kong. Applied Research Quality Life. https://doi.org/10.1007/s11482-020-09848-9.

  • Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological Methods, 7, 422–445.

    Article  Google Scholar 

  • Spielberger, C. (2004). Encyclopedia of applied psychology. Cambridge: Academic Press.

    Google Scholar 

  • Sun, R. C. F., & Shek, D. T. L. (2013). Longitudinal influences of positive youth development and life satisfaction on problem behaviour among adolescents in Hong Kong. Social Indicators Research, 114, 1171–1197. https://doi.org/10.1007/s11205-012-0196-4.

    Article  Google Scholar 

  • Tsaousis, I., & Nikolaou, I. (2005). Exploring the relationship between emotional intelligence and physical and psychological health. Stress & Health, 21, 77–86.

    Article  Google Scholar 

  • Vernon, P. A., Villani, V. C., Schermer, J. A., & Petrides, K. V. (2008). Phenotypic and genetic associations between the big five and trait emotional intelligence. Twin Research and Human Genetics, 11(5), 524–530.

    Article  Google Scholar 

  • Wang, X. D., & Wang, X. L. (1999). Rating scales for mental health. Beijing: Chinese Mental Health Journal Press.

    Google Scholar 

  • Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude: an exploratory study. Leadership Quarterly, 13, 24–274.

    Article  Google Scholar 

  • Wong, J. G., Cheung, E. P., Chan, K. K., Ma, K. K., & Tang, S. W. (2006). Web-based survey of depression, anxiety and stress in first-year tertiary education students in Hong Kong. Australian & New Zealand Journal of Psychiatry, 40, 777–782.

    Article  Google Scholar 

  • Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., & Yang, M. J. (2007). The comorbid psychiatric symptoms of internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health, 41(1), 93–98.

    Article  Google Scholar 

  • Young, K. S. (1998). Internet addiction: the emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237–244.

    Article  Google Scholar 

  • Young, K. S. (1999). Internet addiction: symptoms, evaluation and treatment. Innovations in Clinical Practice: A Source Book, 17, 19–31.

    Google Scholar 

  • Young, K. S., & Nabuco de Abreu, C. (Eds.). (2010). Internet addiction: a handbook and guide to evaluation and treatment. Hoboken: John Wiley & Sons, Inc..

    Google Scholar 

  • Young, K. S., & Rogers, R. C. (1998). The relationship between depression and internet addiction. Cyberpsychology & Behavior, 1(1), 25–28.

    Article  Google Scholar 

  • Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X., Liu, P., Liu, J., Sun, J., von Deneen, K. M., Gong, Q., Liu, Y., & Tian, J. (2011). Microstructure abnormalities in adolescents with internet addiction disorder. PLoS One, 6(6), 1–8. https://doi.org/10.1371/journal.pone.0020708.

    Article  Google Scholar 

  • Zhou, Y., Lin, F., Du, Y., Qin, L., Zhao, Z., Xu, J., & Lei, H. (2011). Gray matter abnormalities in internet addiction: a voxel-based morphometry study. European Journal of Radiology, 79, 92–95.

    Article  Google Scholar 

  • Zhu, X., & Shek, D. T. L. (2020). Impact of a positive youth development program on junior high school students in mainland China: a pioneer study. Children and Youth Services Review, 114, 105022.

    Article  Google Scholar 

Download references

Acknowledgements

This paper and the research project are financially supported by the Central Research Grant of The Hong Kong Polytechnic University (Ref. No.: PolyU 254021/14H) and the General Research Grant by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No.: PolyU 15604618).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lu Yu.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, L., Zhou, X. Emotional Competence as a Mediator of the Relationship Between Internet Addiction and Negative Emotion in Young Adolescents in Hong Kong. Applied Research Quality Life 16, 2419–2438 (2021). https://doi.org/10.1007/s11482-021-09912-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11482-021-09912-y

Keywords

Navigation