Abstract
Nowadays, the Internet has penetrated into every aspect of our daily life. The aims of this study were (a) to examine the patterns of Internet use among Hong Kong early adolescents and (b) to explore whether such patterns differed in terms of the psychological well-being (happiness, loneliness, depression and hopelessness), sensation seeking and perceived social support. A total of 1401 Chinese adolescents participated in the study. Results from the latent profile analysis suggested that there were four latent profiles, and different patterns of the Internet use were associated with the psychological well-being, perceived social support and sensation seeking. The present study sheds light on the importance of considering the nature of online activity and the relationship between Internet use and psychosocial well-being. Implications of the study are discussed.
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References
Abar, C. C. (2012). Examining the relationship between parenting types and patterns of student alcohol-related behavior during the transition to college. Psychology of Addictive Behaviors, 26(1), 20–29. doi:10.1037/a0025108.
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723.
Amichai-Hamburger, Y., & Furnham, A. (2007). The positive net. Computers in Human Behavior, 23(2), 1033–1045. doi:10.1016/j.chb.2005.08.008.
Apaolaza, V., Hartmann, P., Medina, E., Barrutia, J. M., & Echebarria, C. (2013). The relationship between socializing on the Spanish online networking site Tuenti and teenagers’ subjective well-being: The roles of self-esteem and loneliness. Computers in Human Behavior, 29(4), 1282–1289. doi:10.1016/j.chb.2013.01.002.
Bech, P. (2004). Measuring the dimensions of psychological general well-being by the WHO-5. Quality of Life Newsletter, 32, 15–16.
Bech, P., Gudex, C., & Staehr Johansen, K. (1996). The WHO (ten) well-being index: validation in diabetes. Psychotherapy and Psychosomatics, 65, 183–190.
Bech, P., Olsen, L. R., Kjoller, M., & Rasmussen, N. K. (2003). Measuring well-being rather than the absence of distress symptoms: a comparison of the SF-36 mental health subscale and the WHO-five well-being scale. International Journal of Methods in Psychiatric Research, 12(2), 85–91.
Bonebrake, K. (2002). College students’ internet use, relationship formation, and personality correlates. Cyberpsychology & Behavior, 5(6), 551–557.
Brand, M., Laier, C., & Young, K. S. (2014). Internet addiction: Coping styles, expectancies, and treatment implications. Frontiers in Psychology, 5, 1256. doi:10.3389/fpsyg.2014.01256.
Bulotsky-Shearer, R. J., Bell, E. R., & Domínguez, X. (2012). Latent profiles of problem behavior within learning, peer, and teacher contexts: identifying subgroups of children at academic risk across the preschool year. Journal of School Psychology, 50(6), 775–798. doi:10.1016/j.jsp.2012.08.001.
Campbell, A. J., Cumming, S. R., & Hughes, I. (2006). Internet use by the socially fearful: addiction or therapy? Cyberpsychology & Behavior, 9(1), 69–81.
Caplan, S. E., & Turner, J. S. (2007). Bring theory to research on computer-mediated comforting communication. Computers in Human Behavior, 23(2), 985–998.
Caplan, S., Williams, D., Yee, N. (2009). Problematic internet use and psychosocial well-being among MMO players. Computers in Human Behavior, 25, 1312–1319.
Casale, S., & Fioravanti, G. (2011). Psychosocial correlates of internet use among Italian students. International Journal of Psychology, 46(4), 288–298.
Chen, S. K. (2012). Internet use and psychological well-being among college students: A latent profile approach. Computers in Human Behavior, 28(6), 2219–2226. doi:10.1080/00207594.2010.541256.
Chen, X., Li, F., Nydegger, L., Gong, J., Ren, Y., Dinaj-Koci, V., et al. (2013). Brief sensation seeking scale for Chinese: Cultural adaptation and psychometric assessment. Personality and Individual Differences, 54(5), 604–609. doi:10.1016/j.paid.2012.11.007.
Ciarrochi, J., Parker, P., Sahdra, B., Marshall, S., Jackson, C., Gloster, A. T., & Heaven, P. (2016). The development of compulsive internet use and mental health: A four-year study of adolescence. Developmental Psychology, 52(2), 272–283.
Clark, S. L. (2010). Mixture modeling with behavioral data (Doctoral dissertation, University of California). Retrieved from http://search.proquest.com/docview/230964800?pq-origsite=gscholar.
Cohen, S. E., & Syme, S. (1985). Social support and health. San Diego: Academic Press.
Curby, T. W., Rudasill, K. M., Edwards, T., & Pérez-Edgar, K. (2011). The role of classroom quality in ameliorating the academic and social risks associated with difficult temperament. School Psychology Quarterly, 26(2), 175–188. doi:10.1037/a0023042.
Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H., & Yildrim, 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. doi:10.1089/cyber.2012.0390.
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.
DiStefano, C., & Kamphaus, R. W. (2006). Investigating subtypes of child development: A comparison of cluster analysis in typology creation. Educational and Psychological Measurement, 66(5), 778–794. doi:10.1177/0013164405284033.
Ellison, N. B., Gray, R., Lampe, C., & Fiore, A. T. (2014). Social capital and resource request on Facebook. New Media & Society, 16(7), 1104–1121.
Erikson, E. H. (1985). The life cycle completed: A review. New York: W. W. Norton & Company.
Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D. D., Fung, D., & Khoo, A. (2011). Pathological video game use among youth: A two-year longitudinal study. Pediatrics, 127(2), e319–e329. doi:10.1542/peds.2010-1353.
Gottlieb, B. H. (2000). Selecting and planning support interventions. In S. Cohen, L. G. Underwood, & B. H. Gottlieb (Eds.), Social support measurement and intervention: A guide for health and social scientists (pp. 195–220). New York: Oxford University Press.
H.K. Census and Statistics Department (2015). Usage of personal computers and Internet service by Hong Kong Residents, 2000 to 2014. Retrieved from http://www.censtatd.gov.hk/hkstat/sub/sp120.jsp?productCode=FA100109.
Hardie, E., & Tee, M. Y. (2007). Excessive internet use: The role of personality, loneliness and social support networks in internet addiction. Australian Journal of Emerging Technologies and Society, 5(1), 34–47.
Hays, R. D., & DiMatteo, M. R. (1987). A short-form measure of loneliness. Journal of Personality Assessment, 51(1), 69–81.
Heaven, P. C. L. (1996). Adolescent health: The role of individual differences. London: Routledge.
Hill, A. L., Degnan, K. A., Calkins, S. D., & Keane, S. P. (2006). Profiles of externalizing behavior problems for boys and girls across preschool: The roles of emotion regulation and inattention. Developmental Psychology, 42(5), 913–928. doi:10.1037/0012-1649.42.5.913.
Hirsh-Pasek, K., & Burchinal, M. (2006). Mother and caregiver sensitivity over time: Predicting language and academic outcomes with variable- and person-centered approaches. Merrill-Palmer Quarterly, 52(3), 449–485. doi:10.1353/mpq.2006.0027.
Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32, 401–414. doi:10.1016/S0191-8869(01)00032-0.
Internet World Stats (2017). Internet usage statistics: World Internet users and 2017 population stats. Retrieved from http://www.internetworldstats.com/stats.htm.
Jensen, J. D., Ivic, R., & Imboden, K. (2009). Seeds of deviance: Sensation seeking and children’s media use. Chicago: Paper Presented at the Annual Conference of the International Communication Association.
Kaczmarek, L. D., & Drążkowski, D. (2014). MMORPG escapism predicts decreased well-being: Examination of gaming time, game realism beliefs, and online social support for offline problems. Cyberpsychology, Behavior and Social Networking, 17(5), 298–302. doi:10.1089/cyber.2013.0595.
Kang, S. (2007). Disembodiment in online social interaction: Impact of online chat on social support and psychosocial well-being. Cyberpsychology & Behavior, 10(3), 475–477. doi:10.1089/cpb.2006.9929.
Kim, H. K., & Davis, K. E. (2009). Toward a comprehensive theory of problematic internet use: Evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of internet activities. Computers in Human Behavior, 25, 490–500.
Kim, J., & Lee, J. R. (2011). The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behavior and Social Networking, 14(6), 359–364. doi:10.1089/cyber.2010.0374.
Kim, D., Nam, J. K., Oh, J., & Kang, M. C. (2016). A latent profile analysis of the interplay between PC and smartphone in problematic internet use. Computers in Human Behavior, 56, 360–368. doi:10.1016/j.chb.2015.11.009.
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. Archives of Pediatrics & Adolescent Medicine, 163(10), 937–943. doi:10.1001/archpediatrics.2009.159.
Kong, C. L., Lee, C. C., Ip, Y. C., Chow, L. P., Leung, C. H., & Lam, Y. C. (2016). Validation of the Hong Kong Cantonese version of World Health Organization five well-being index for people with severe mental illness. East Asian Archives of Psychiatry, 26(1), 18–21.
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. doi:10.1037/0003-066X.53.9.1017.
Laconi, S., Tricard, N., & Chabrol, H. (2015). Differences between specific and generalized problematic internet uses according to gender, age, time spent online and psychopathological symptoms. Computers in Human Behavior, 48, 236–244. doi:10.1016/j.chb.2015.02.006.
Lai, C. C. W., & Ma, C. M. S. (2016). The mediating role of social support in the relationship between psychological well-being and health-risk behaviors among Chinese university students. Health Psychology Open, 3, 1–11. doi:10.1177/2055102916678106.
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. doi:10.1001/archpediatrics.2010.159.
Lee, Y. S., Han, D. H., Kim, S. M., & Renshaw, P. F. (2013). Substance abuse precedes internet addiction. Addictive Behaviors, 38(4), 2022–2025. doi:10.1016/j.addbeh.2012.12.024.
Li, X., Chen, W., & Popiel, P. (2015). What happens on Facebook stays on Facebook? The implications of Facebook interaction for perceived, receiving, and giving social support. Computers in Human Behavior, 51, 106–113. doi:10.1016/j.chb.2015.04.066.
Lin, S. S. J., & Tsai, C. C. (2002). Sensation seeking and internet dependence of Taiwanese high school adolescents. Computers in Human Behavior, 18(4), 411–426. doi:10.1016/S0747-5632(01)00056-5.
Liu, C. Y., & Kuo, F. Y. (2007). A study of internet addiction through the lens of the interpersonal theory. Cyberpsychology & Behavior, 10(6), 799–804. doi:10.1089/cpb.2007.9951.
Lo, Y. T., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767–778.
Ma, C. M. S., & Shek, D. T. L. (2013). Consumption of pornographic materials in early adolescents in Hong Kong. Journal of Pediatric and Adolescent Gynecology, 26(3), S18–S25. doi:10.1016/j.jpag.2013.03.011.
Mak, K. K., Lai, C. M., Watanabe, H., Kim, D. I., Bahar, N., Ramos, M., et al. (2014). Epidemiology of internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychology, Behavior and Social Networking, 17(11), 720–728. doi:10.1089/cyber.2014.0139.
Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. S. (2009). Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling, 16(2), 191–225. doi:10.1080/10705510902751010.
McDougall, M. A., Walsh, M., Wattier, K., Knigge, R., Miller, L., Stevermer, M., & Fogas, B. S. (2016). The effect of social networking sites on the relationship between perceived social support and depression. Psychiatry Research, 246, 223–229.
McLachlan, G. J. (1987). On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture. Applied Statistics, 36(3), 318–324.
Montag, C., Bey, K., Sha, P., Li, M., Chen, Y. F., Liu, W. Y., et al. (2014). Is it meaningful to distinguish between generalized and specific internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China. Asia-Pacific Psychiatry, 7, 20–26. doi:10.1111/appy.12122.
Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus user’s guide (8th ed.). Los Angeles: Muthén & Muthén.
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14(4), 535–569. doi:10.1080/10705510701575396.
Papacharissi, Z., & Mendelson, A. (2011). Toward a new(er) sociability: Uses, gratifications and social capital on Facebook. In S. Papathanassopoulos (Ed.), Media perspectives for the 21st century (pp. 212–230). New York: Routledge.
Papacharissi, Z., & Rubin, A. M. (2000). Predictors of internet use. Journal of Broadcasting & Electronic Media, 44(2), 175–196. doi:10.1207/s15506878jobem4402_2.
Peter, J., Valkenburg, P. M., & Schouten, A. P. (2005). Developing a model of adolescent friendship formation on the internet. CyperPsychology & Behavior, 8(5), 423–430. doi:10.1089/cpb.2005.8.423.
Rubin, C. (2010). Internet users over age 50 flocking to social media. Inc. Retrieved from http://www.inc.com/news/articles/2010/08/users-over-50-are-fastest-growing-social-media-demographic.html.
Sagioglou, C., & Greitemeyer, T. (2014). Facebook’s emotional consequences: Why Facebook causes a decrease in mood and why people still use it. Computers in Human Behavior, 35, 359–363. doi:10.1016/j.chb.2014.03.003.
Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.
Selfhout, M. H. W., Branje, S. J. T., Delsing, M., ter Bogt, T. F. M., & Meeus, W. H. J. (2009). Different types of internet use, depression, and social anxiety: The role of perceived friendship quality. Journal of Adolescence, 32(4), 819–833. doi:10.1016/j.adolescence.2008.10.011.
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. doi:10.1089/109493102753770552.
Shek, D. T. L. (1993). Measurement of pessimism in Chinese adolescents: The Chinese hopelessness scale. Social Behavior and Personality, 21(2), 107–119.
Shek, D. T. L. (1998). Life satisfaction of working women and “non-employed” housewives in a Chinese context. Psychological Reports, 83(2), 702.
Shek, D. T. L., & Li, X. (2016). Perceived school performance, life satisfaction, and hopelessness: A 4-year longitudinal study of adolescents in Hong Kong. Social Indicators Research, 126, 921–934.
Shek, D. T. L., & Yu, L. (2016). Adolescent internet addiction in Hong Kong: Prevalence, change, and correlates. Journal of Pediatric and Adolescent Gynecology, 29, S22–S30.
Shek, D. T. L., Sun, R. C. F., & Yu, L. (2013). Internet addiction. In D. W. Pfaff (Ed.), Neuroscience in the 21st century: From basic to clinical (pp. 2775–2811). New York: Springer.
Shepherd, R. M., & Edelmann, R. J. (2005). Reasons for internet use and social anxiety. Personality and Individual Differences, 39(5), 949–958. doi:10.1016/j.paid.2005.04.001.
Skues, J. L., Williams, B., & Wise, L. (2012). The effects of personality traits, self-esteem, loneliness, and narcissism on Facebook use among university students. Computers in Human Behavior, 28(6), 2414–2419. doi:10.1016/j.chb.2012.07.012.
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Patient Health Questionnaire Primary Care Study Group. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. Journal of the American Medical Association, 282(18), 1737–1744. doi:10.1001/jama.282.18.1737.
Subrahmanyam, K., & Lin, G. (2007). Adolescents on the net: Internet use and well-being. Adolescence, 42(168), 659–677.
Subrahmanyam, K., Smahel, D., & Greenfield, P. (2006). Connecting developmental constructions to the internet: Identity presentation and sexual exploration in online teen chat rooms. Developmental Psychology, 42(3), 395–406. doi:10.1037/0012-1649.42.3.395.
Thayer, S. E., & Ray, S. (2006). Online communication preferences across age, gender, and duration of internet use. Cyberpsychology & Behavior, 9(4), 432–440. doi:10.1089/cpb.2006.9.432.
Tsai, F. J., Huang, Y. H., Liu, H. C., Huang, K. Y., Huang, Y. H., & Liu, S. I. (2014). Patient heath questionnaire for school-based depression screening among Chinese adolescents. Pediatrics, 133(2), 402–409. doi:10.1542/peds.2013-0204.
Usta, E., Korkmaz, Ö., & Kurt, İ. (2014). The examination of individuals’ virtual loneliness states in internet addition and virtual environments in terms of inter-personal trust levels. Computers in Human Behavior, 36, 214–224.
Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students’ life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14(4), 875–901. doi:10.1111/j.1083-6101.2009.01474.x.
Valkenburg, P. M., Schouten, A. P., & Peter, J. (2005). Adolescents’ identity experiments on the internet. New Media & Society, 7(3), 383–402. doi:10.1177/1461444805052282.
Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. Cyberpsychology & Behavior, 9(5), 584–590. doi:10.1089/cpb.2006.9.584.
Wallenius, M., Rimpelä, A., Punamäki, R. L., & Lintonen, T. (2009). Digital game playing motives among adolescents: Relations to parent-child communication, school performance, sleeping habits, and perceived health. Journal of Applied Developmental Psychology, 30(4), 463–474. doi:10.1016/j.appdev.2008.12.021.
Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23(1), 3–43.
Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. West Sussex: John Wiley & Sons.
Wang, J. L., Jackson, L. A., Wang, H. Z., & Gaskin, J. (2015). Predicting social networking site (SNS) use: Personality, attitudes, motivation and internet self-efficacy. Personality and Individual Differences, 80, 119–124.
Wartberg, L., Brunner, R., Kriston, L., Durkee, T., Parzer, P., Ficher-Waldschmidt, G., et al. (2016). Psychopathological factors associated with problematic alcohol and problematic internet use in a sample of adolescents in Germany. Psychiatry Research, 240, 272–277. doi:10.1016/j.psychres.2016.04.057.
Whitty, M. T., & McLaughlin, D. (2007). Online recreation: The relationship between loneliness, internet self-efficacy and the use of the internet for entertainment purposes. Computers in Human Behavior, 23(3), 1435–1446. doi:10.1016/j.chb.2005.05.003.
Wolak, J., Mitchell, K. J., & Finkelhor, D. (2003). Escaping or connecting? Characteristics of youth who form close online relationships. Journal of Adolescence, 26(1), 105–119. doi:10.1016/S0140-1971(02)00114-8.
Wu, C. H., & Yao, G. (2008). Psychometric analysis of the short-form UCLA loneliness scale (ULS-8) in Taiwanese undergraduate students. Personality and Individual Differences, 44(8), 1762–1771.
Wu, J. Y. W., Ko, H. C., Tung, Y. Y., & Li, C. C. (2016). Internet use expectancy for tension reduction and disinhibition mediates the relationship between borderline personality disorder features and internet addiction among college students: One-year follow-up. Computers in Human Behavior, 55, 851–855. doi:10.1016/j.chb.2015.09.047.
Yang, S. C., & Tung, C. J. (2007). Comparison of internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 79–96. doi:10.1016/j.chb.2004.03.037.
Young, K. S. (2007). Cognitive behavior therapy with internet addicts: Treatment outcomes and implications. Cyberpsychology & Behavior, 10(5), 671–679. doi:10.1089/cpb.2007.9971.
Yu, L., & Shek, D. T. L. (2013). Internet addiction in Hong Kong adolescents: A three-year longitudinal study. Journal of Pediatric and Adolescent Gynecology, 26(3), S10–S17.
Zhan, L., Sun, Y., Wang, N., & Zhang, X. (2016). Understanding the influence of social media on people’s life satisfaction through two competing explanatory mechanisms. Aslib Journal of Information Management, 68(3), 347–361. doi:10.1108/AJIM-12-2015-0195.
Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Gordon, K. (1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52(1), 30–41. doi:10.1207/s15327752jpa5201_2.
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The present study is funded by a grant (Grant no. 25401414) of the Early Career Scheme of the Research Grants Council of the University Grants Committee of Hong Kong.
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Ma, C.M.S. A Latent Profile Analysis of Internet use and Its Association with Psychological Well-Being Outcomes among Hong Kong Chinese Early Adolescents. Applied Research Quality Life 13, 727–743 (2018). https://doi.org/10.1007/s11482-017-9555-2
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DOI: https://doi.org/10.1007/s11482-017-9555-2