Internet addiction (IA) is prevalent among adolescents and imposes a serious public health threat. Familial risk and protective factors may co-exist and interact with each other to determine IA. We conducted a cross-sectional survey among 9,618 Secondary 1 to 4 students in Hong Kong, China. About 16% of the surveyed students were classified as Internet addicted; nearly one third of them perceived that at least one of their family members had IA (FMIA). We found that FMIA was a risk factor (multivariate odds ratio [OR] = 2.04), and perceived family support was a protective factor (multivariate OR = 0.97) of IA. We also found a significant risk-enhancement moderation effect between these risk and protective factors, that is, the risk effect of FMIA increased with perceived family support. The finding highlights that family-based interventions, which modify familial risk and protective factors, should be effective for adolescent IA, but caution is required about potential risk-enhancement moderations between such factors.

Ary, D. V., Duncan, T. E., Biglan, A., Metzler, C. W., Noell, J. W., Smolkowski, K. (1999). Development of adolescent problem behavior. Journal of Abnormal Child Psychology, 27, 141-151. doi:10.1023/A:1021963531607
Google Scholar | Crossref | Medline | ISI
Bahr, S. J., Hoffmann, J. P., Yang, X. (2005). Parental and peer influences on the risk of adolescent drug use. The Journal of Primary Prevention, 26, 529-551. doi:10.1007/s10935-005-0014-8
Google Scholar | Crossref | Medline
Ball, D. (2008). Addiction science and its genetics. Addiction, 103, 360-367. doi:10.1111/j.1360-0443.2007.02061.x
Google Scholar | Crossref | Medline | ISI
Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice Hall.
Google Scholar
Block, J. J. (2008). Issues for DSM-V: Internet addiction. The American Journal of Psychiatry, 165, 306-307. doi:10.1176/appi.ajp.2007.07101556
Google Scholar | Crossref | Medline | ISI
Bremer, J. (2005). The internet and children: Advantages and disadvantages. Child & Adolescent Psychiatry Clinics of North American, 14, 405-428. doi:10.1016/j.chc.2005.02.003
Google Scholar | Crossref | Medline | ISI
Brooks-Gunn, J., Furstenberg, F. F. (1989). Adolescent sexual behavior. American Psychologist, 44, 249-257.
Google Scholar | Crossref | Medline | ISI
Carter, P. M., Bingham, C. R., Zakrajsek, J. S., Shope, J. T., Sayer, T. B. (2014). Social norms and risk perception: Predictors of distracted driving behavior among novice adolescent drivers. Journal of Adolescent Health, 54, S32-S41. doi:10.1016/j.jadohealth.2014.01.008
Google Scholar | Crossref | Medline | ISI
Cash, H., Rae, C. D., Steel, A. H., Winkler, A. (2012). Internet addiction: A brief summary of research and practice. Current Psychiatry Reviews, 8, 292-298. doi:10.2174/157340012803520513
Google Scholar | Crossref | Medline
Cestac, J., Paran, F., Delhomme, P. (2014). Drive as I say, not as I drive: Influence of injunctive and descriptive norms on speeding intentions among young drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 23, 44-56. doi:10.1016/j.trf.2013.12.006
Google Scholar | Crossref | ISI
Chambers, R. A., Taylor, J. R., Potenza, M. N. (2003). Developmental neurocircuitry of motivation in adolescence: A critical period of addiction vulnerability. The American Journal of Psychiatry, 160, 1041-1052. Retrieved from http://ajp.psychiatryonline.org/
Google Scholar
Chen, S. H., Weng, L., Su, Y., Wu, H., Yang, P. (2003). Development of Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology, 45, 279-294. Retrieved from http://118.145.16.229:81/Jweb_xlxb/EN/article/downloadArticleFile.do?attachType=PDF&id=13754
Google Scholar
Cheung, L. M., Wong, W. S. (2011). The effects of insomnia and Internet addiction on depression in Hong Kong Chinese adolescents: An exploratory cross-sectional analysis. Journal of Sleep Research, 20, 311-317.
Google Scholar | Crossref | Medline | ISI
Chou, C. (2001). Internet heavy use and addiction among Taiwanese college students: An online interview study. CyberPsychology & Behavior, 4, 573-585.
Google Scholar | Crossref | Medline
Chou, C., Condron, L., Belland, J. C. (2005). A review of the research on Internet addiction. Educational Psychology Review, 17, 363-388.
Google Scholar | Crossref | ISI
Chou, K. L. (2000). Assessing Chinese adolescents’ social support: The multidimensional scale of perceived social support. Personality and Individual Differences, 28, 299-307. doi:10.1016/S0191-8869(99)00098-7
Google Scholar | Crossref | ISI
Education Commission . (2004). Education statistics. Retrieved from http://www.e-c.edu.hk/eng/reform/edu_stat_eng.pdf
Google Scholar
Ferguson, K., Xie, B. (2012). Adult support and substance use among homeless youths who attend high school. Child & Youth Care Forum, 41, 427-445. doi:10.1007/s10566-012-9175-9
Google Scholar | Crossref | ISI
Fishbein, M., Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York, NY: Psychology Press.
Google Scholar
Flay, B. R., Hu, F. B., Siddiqui, O., Day, L. E., Hedeker, D., Petraitis, J., . . . Sussman, S. (1994). Differential influence of parental smoking and friends’ smoking on adolescent initiation and escalation of smoking. Journal of Health and Social Behavior, 35, 248-265.Retrieved from http://hsb.sagepub.com/
Google Scholar
Foster, S. E., Jones, D. J., Olson, A. L., Gaffney, C. A., Zens, M. S., Forehand, R., Bau, J. J. (2007). Family socialization of adolescent’s self-reported cigarette use: The role of parents’ history of regular smoking and parenting style. Journal of Pediatric Psychology, 32, 481-493. doi:10.1093/jpepsy/jsl030
Google Scholar | Crossref | Medline | ISI
Fu, K. W., Chan, W. S., Wong, P. W., Yip, P. S. (2010). Internet addiction: Prevalence, discriminant validity and correlates among adolescents in Hong Kong. The British Journal of Psychiatry, 196, 486-492. doi:10.1192/bjp.bp.109.075002
Google Scholar | Crossref | Medline | ISI
García-Rodríguez, O., Suárez-Vázquez, R., Santonja-Gómez, F. J., Secades-Villa, R., Sánchez-Hervás, E. (2011). Psychosocial risk factors for adolescent smoking: A school-based study. International Journal of Clinical and Health Psychology, 11, 23-33. Retrieved from http://www.journals.elsevier.com/international-journal-of-clinical-and-health-psychology/
Google Scholar
Ghassemzadeh, L., Shahraray, M., Moradi, A. (2008). Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. CyberPsychology & Behavior, 11, 731-733. doi:10.1089/cpb.2007.0243
Google Scholar | Crossref | Medline
Gunuc, S., Dogan, A. (2013). The relationships between Turkish adolescents’ internet addiction, their perceived social support and family activities. Computers in Human Behavior, 29, 2197-2207. doi:10.1016/j.chb.2013.04.011
Google Scholar | Crossref | ISI
Handley, E. D., Chassin, L. (2008). Stress-induced drinking in parents of adolescents with externalizing symptomatology: The moderating role of parent social support. The American Journal on Addictions, 17, 469-477. doi:10.1080/10550490802408795
Google Scholar | Crossref | Medline | ISI
Hawkins, J. D., Catalano, R. F., Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64-105. doi:10.1037/0033-2909.112.1.64
Google Scholar | Crossref | Medline | ISI
Hirschi, T. (1969). The causes of delinquency. Berkeley: University of California Press.
Google Scholar
Hong Kong Census and Statistics Department . (2012). Population census 2011. Retrieved from http://www.census2011.gov.hk/en/main-table/A120.html
Google Scholar
Jablonska, B., Lindberg, L. (2007). Risk behaviours, victimisation and mental distress among adolescents in different family structures. Social Psychiatry and Psychiatric Epidemiology, 42, 656-663.
Google Scholar | Crossref | Medline | ISI
Johnson, G. M., Shontz, F. C., Locke, T. P. (1984). Relationships between adolescent drug use and parental drug behaviors. Adolescence, 19, 295-299. Retrieved from https://www.questia.com/library/p4790/adolescence/
Google Scholar
Kandel, D. B. (1980). Drug and drinking behavior among youth. Annual Review of Sociology, 6, 235-285.
Google Scholar | Crossref | ISI
Ko, C. H., Yen, C. F., Yen, C. N., Yen, J. Y., Chen, C. C., Chen, S. H. (2005). Screening for internet addiction: An empirical study on cut-off points for the Chen Internet Addiction Scale. The Kaohsiung Journal of Medical Sciences, 21, 545-551. doi:10.1016/S1607-551X(09)70206-2
Google Scholar | Crossref | Medline
Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., Yen, C. F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Archive of Pediatric & Adolescent Medicine, 163, 937-943. doi:10.1001/archpediatrics.2009.159
Google Scholar | Crossref | Medline
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., Weng, C. C., Chen, C. C. (2008). The association between Internet addiction and problematic alcohol use in adolescents: The problem behavior model. CyberPsychology & Behavior, 11, 571-576.
Google Scholar | Crossref | Medline
Ko, C. H., Yen, J. Y., Yen, C. F., Lin, H. C., Yang, M. J. (2007). Factors predictive for incidence and remission of internet addiction in young adolescents: A prospective study. CyberPsychology & Behavior, 10, 545-551. doi:10.1089/cpb.2007.9992
Google Scholar | Crossref | Medline
Kuss, D. J., Griffiths, M. D., Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966. doi:10.1016/j.chb.2012.12.024
Google Scholar | Crossref | ISI
Landis, J. R., Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174.
Google Scholar | Crossref | Medline | ISI
Larzelere, R. E., Patterson, G. R. (1990). Parental management: Mediator of the effect of socioeconomic status on early delinquency. Criminology, 28, 301-324.
Google Scholar | Crossref | ISI
Li, W., Garland, E. L., Howard, M. O. (2014). Family factors in internet addiction among Chinese youth: A review of English- and Chinese-language studies. Computers in Human Behavior, 31, 393-411. doi:10.1016/j.chb.2013.11.004
Google Scholar | Crossref | ISI
Lin, M. P., Ko, H. C., Wu, J. Y. (2008). The role of positive/negative outcome expectancy and refusal self-efficacy of internet use on internet addiction among college students in Taiwan. CyberPsychology & Behavior, 11, 451-457. doi:10.1089/cpb.2007.0121
Google Scholar | Crossref | Medline
Liu, C. Y., Kuo, F. Y. (2007). A study of internet addiction through the lens of the interpersonal theory. CyberPsychology & Behavior, 10, 799-804. doi:10.1089/cpb.2007.9951
Google Scholar | Crossref | Medline
Liu, Q. X., Fang, X. Y., Deng, L. Y., Zhang, J. T. (2012). Parent–adolescent communication, parental internet use and internet-specific norms and pathological internet use among Chinese adolescents. Computers in Human Behavior, 28, 1269-1275. doi:10.1016/j.chb.2012.02.010
Google Scholar | Crossref | ISI
Livingstone, S. (2003). Children’s use of the internet: Reflections on the emerging research agenda. New Media & Society, 5, 147-166. doi:10.1177/1461444803005002001
Google Scholar | SAGE Journals | ISI
Lopez-Fernandez, O., Honrubia-Serrano, M. L., Gibson, W., Griffiths, M. D. (2014). Problematic internet use in British adolescents: An exploration of the addictive symptomatology. Computers in Human Behavior, 35, 224-233. doi:10.1016/j.chb.2014.02.042
Google Scholar | Crossref | ISI
McMillan, S. J., Morrison, M. (2006). Coming of age with the internet: A qualitative exploration of how the internet has become an integral part of young people’s lives. New Media & Society, 8, 73-95. doi:10.1177/1461444806059871
Google Scholar | SAGE Journals | ISI
McPherson, K. E., Kerr, S., Morgan, A., McGee, E., Cheater, F. M., McLean, J., Egan, J. (2013). The association between family and community social capital and health risk behaviours in young people: An integrative review. BMC Public Health, 13, 971. doi:10.1186/1471-2458-13-971
Google Scholar | Crossref | Medline | ISI
Mulia, N., Schmidt, L., Bond, J., Jacobs, L., Korcha, R. (2008). Stress, social support and problem drinking among women in poverty. Addiction, 103, 1283-1293. doi:10.1111/j.1360-0443.2008.02234.x
Google Scholar | Crossref | Medline | ISI
Oei, T. P., Raylu, N. (2004). Familial influence on offspring gambling: A cognitive mechanism for transmission of gambling behavior in families. Psychological Medicine, 34, 1279-1288. doi:10.1017/S0033291704003150
Google Scholar | Crossref | Medline | ISI
Pabayo, R., Alcantara, C., Kawachi, I., Wood, E., Kerr, T. (2013). The role of depression and social support in non-fatal drug overdose among a cohort of injection drug users in a Canadian setting. Drug and Alcohol Dependence, 132, 603-609. doi:10.1016/j.drugalcdep.2013.04.007
Google Scholar | Crossref | Medline | ISI
Park, S., Kim, H., Kim, H. (2009). Relationships between parental alcohol abuse and social support, peer substance abuse risk and social support, and substance abuse risk among South Korean adolescents. Adolescence, 44, 87-99. Retrieved from https://www.questia.com/library/p4790/adolescence/
Google Scholar
Park, S. K., Kim, J. Y., Cho, C. B. (2008). Prevalence of internet addiction and correlations with family factors among South Korean adolescents. Adolescence, 43, 895-909. Retrieved from https://www.questia.com/library/p4790/adolescence/
Google Scholar
Poli, R., Agrimi, E. (2012). Internet addiction disorder: Prevalence in an Italian student population. Nordic Journal of Psychiatry, 66, 55-59. doi:10.3109/08039488.2011.605169
Google Scholar | Crossref | Medline | ISI
Selya, A. S., Dierker, L. C., Rose, J. S., Hedeker, D., Mermelstein, R. J. (2012). Risk factors for adolescent smoking: Parental smoking and the mediating role of nicotine dependence. Drug and Alcohol Dependence, 124, 311-318. doi:10.1016/j.drugalcdep.2012.02.004
Google Scholar | Crossref | Medline | ISI
Shaw, M., Black, D. W. (2008). Internet addiction: Definition, assessment, epidemiology and clinical management. CNS Drugs, 22, 353-365. doi:10.2165/00023210-200822050-00001.
Google Scholar | Crossref | Medline | ISI
Shek, D. T., Yu, L. (2012). Internet addiction phenomenon in early adolescents in Hong Kong. The Scientific World Journal, 2012, Article 104304. doi:10.1100/2012/104304
Google Scholar | Crossref
Siomos, K. E., Dafouli, E. D., Braimiotis, D. A., Mouzas, O. D., Angelopoulos, N. V. (2008). Internet addiction among Greek adolescent students. CyberPsychology & Behavior, 11, 653-657. doi:10.1089/cpb.2008.0088
Google Scholar | Crossref | Medline
Siomos, K., Floros, G., Fisoun, V., Evaggelia, D., Farkonas, N., Sergentani, E., . . . Geroukalis, D. (2012). Evolution of internet addiction in Greek adolescent students over a two-year period: The impact of parental bonding. European Child & Adolescent Psychiatry, 21, 211-219. doi:10.1007/s00787-012-0254-0
Google Scholar | Crossref | Medline | ISI
Tang, J., Yu, Y., Du, Y., Ma, Y., Zhang, D., Wang, J. (2014). Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive Behaviors, 39, 744-747. doi:10.1016/j.addbeh.2013.12.010
Google Scholar | Crossref | Medline | ISI
Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., Yang, Y. C., Yang, Y. K. (2009). The risk factors of internet addiction—A survey of university freshmen. Psychiatry Research, 167, 294-299.
Google Scholar | Crossref | Medline | ISI
Urberg, K. A., Shyu, S. J., Liang, J. (1990). Peer influence in adolescent cigarette smoking. Addictive Behaviors, 15, 247-255.
Google Scholar | Crossref | Medline | ISI
van den Eijnden, R. J., Meerkerk, G. J., Vermulst, A. A., Spijkerman, R., Engels, R. C. (2008). Online communication, compulsive Internet use, and psychosocial well-being among adolescents: A longitudinal study. Developmental Psychology, 44, 655-665. doi:10.1037/0012-1649.44.3.655
Google Scholar | Crossref | Medline | ISI
van den Eijnden, R. J., Spijkerman, R., Vermulst, A. A., van Rooij, T. J., Engels, R. C. (2010). Compulsive internet use among adolescents: Bidirectional parent-child relationships. Journal of Abnormal Child Psychology, 38, 77-89. doi:10.1007/s10802-009-9347-8
Google Scholar | Crossref | Medline | ISI
Wang, H., Zhou, X., Lu, C., Wu, J., Deng, X., Hong, L. (2011). Problematic internet use in high school students in Guangdong Province, China. PLoS ONE, 6, e19660. doi:10.1371/journal.pone.0019660
Google Scholar | Crossref | Medline | ISI
Wang, Y. H., Wu, A. M. S., Lau, J. T. F. (2016). The health belief model and presence of peers with Internet addiction as inter-related factors of Internet addiction among secondary school students in Hong Kong. BMC Public Health, 16, 272. doi:10.1186/s12889-016-2947-7
Google Scholar | Crossref | Medline | ISI
Webster, R. A., Hunter, M., Keats, J. A. (1994). Peer and parental influences on adolescents’ substance use: A path analysis. The International Journal of the Addictions, 29, 647-657. doi:10.3109/10826089409047405
Google Scholar | Crossref | Medline
Windle, M. (1992). A longitudinal study of stress buffering for adolescent problem behaviors. Developmental Psychology, 28, 522-530. doi:10.1037/0012-1649.28.3.522.
Google Scholar | Crossref | ISI
Wood, M. D., Read, J. P., Mitchell, R. E., Brand, N. H. (2004). Do parents still matter? Parent and peer influences on alcohol involvement among recent high school graduates. Psychology of Addictive Behaviors, 18, 19-30. doi:10.1037/0893-164X.18.1.19
Google Scholar | Crossref | Medline | ISI
Wu, A. M. S., Li, J., Lau, J. T. F., Mo, P. K. H. (2016). Potential impact of Internet addiction and protective psychosocial factors onto depression among Hong Kong Chinese adolescents – direct, mediation and moderation effects. Comprehensive Psychiatry, 70, 41-52. doi: 10.1016/j.comppsych.2016.06.011.
Google Scholar | Crossref | Medline | ISI
Wu, X., Chen, X., Han, J., Meng, H., Luo, J., Nydegger, L., Wu, H. (2013). Prevalence and factors of addictive internet use among adolescents in Wuhan, China: Interactions of parental relationship with age and hyperactivity-impulsivity. PLoS ONE, 8, e61782. doi:10.1371/journal.pone.0061782
Google Scholar | Crossref | Medline | ISI
Xu, F. Z., Zhang, W. X. (2011). Relationship between adolescents’ alienation and pathological internet use: Testing the moderating effect of family functioning and peer acceptance. Acta Psychologica Sinica, 43, 410-419.
Google Scholar
Xu, J., Shen, L. X., Yan, C. H., Hu, H., Yang, F., Wang, L., . . . Shen, X. M. (2012). Personal characteristics related to the risk of adolescent internet addiction: A survey in Shanghai, China. BMC Public Health, 12, 1106. doi:10.1186/1471-2458-12-1106
Google Scholar | Crossref | Medline | ISI
Xu, J., Shen, L. X., Yan, C. H., Hu, H., Yang, F., Wang, L., . . . Shen, X. M. (2014). Parent-adolescent interaction and risk of adolescent internet addiction: A population-based study in Shanghai. BMC Psychiatry, 14, 112. doi:10.1186/1471-244X-14-112
Google Scholar | Crossref | Medline | ISI
Yang, S. C., Tung, C. J. (2007). Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23, 79-96.
Google Scholar | Crossref | ISI
Yeh, Y. C., Ko, H. C., Wu, J. Y., Cheng, C. P. (2008). Gender differences in relationships of actual and virtual social support to Internet addiction mediated through depressive symptoms among college students in Taiwan. CyberPsychology & Behavior, 11, 485-487. doi:10.1089/cpb.2007.0134
Google Scholar | Crossref | Medline
Yen, J. Y., Yen, C. F., Chen, C. C., Chen, S. H., Ko, C. H. (2007). Family factors of internet addiction and substance use experience in Taiwanese adolescents. CyberPsychology & Behavior, 10, 323-329. doi:10.1089/cpb.2006.9948
Google Scholar | Crossref | Medline
Yu, L., Shek, D. T. (2013). Internet addiction in Hong Kong adolescents: A three-year longitudinal study. Journal of Pediatric & Adolescent Gynecology, 26, S10-S17. doi:10.1016/j.jpag.2013.03.010
Google Scholar | Crossref | Medline | ISI
Zhong, X., Zu, S., Sha, S., Tao, R., Zhao, C., Yang, F., . . . Sha, P. (2011). The effect of family-based intervention model on internet-addicted Chinese adolescents. Social Behavior & Personality, 39, 1021-1034. doi:10.2224/sbp.2011.39.8.1021
Google Scholar | Crossref | ISI
Zimet, G. D., Dahlem, N. W., Zimet, S. G., Farley, G. K. (1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52, 30-41. doi:10.1207/s15327752jpa5201_2
Google Scholar | Crossref | ISI
View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

JEA-article-ppv for $36.00

Article available in: