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Relationships between Exposure to Online Pornography, Psychological Well-Being and Sexual Permissiveness among Hong Kong Chinese Adolescents: a Three-Wave Longitudinal Study

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Abstract

With the increased accessibility to the Internet, adolescents can access the online pornography intentionally and accidentally. The purposes of this study were (a) to examine the relationships of exposure to online pornography to subsequent psychological well-being (depression and life satisfaction) and sexual permissive attitudes and (b) to explore whether these relationships differ by the nature of exposure. A sample of 1401 early Chinese adolescents participated a three-wave longitudinal study. Results from the cross-lagged models suggested that the effects of online pornography differ by the nature of exposure. The present study sheds light on the dynamic relationships between exposure to online pornography, depression, life satisfaction and permissiveness sexual attitudes.

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References

  • Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and internet use. Computers in Human Behavior, 19, 71–80.

    Article  Google Scholar 

  • 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 wellbeing: The roles of self-esteem and loneliness. Computers in Human Behavior, 29, 1282–1289.

    Article  Google Scholar 

  • Arulogun, O. S., Ogbu, I. A., & Dipeolu, I. O. (2016). Influence of internet exposure on sexual behavior of young persons in urban district of Southwest Nigeria. The Pan African Medical Journal, 25, 261–268.

    Article  Google Scholar 

  • Baams, L., Overbeek, G., Dubas, J. S., Doornwaard, S. M., Rommes, E., & van Aken, M. A. G. (2015). Perceived realism moderates the relation between sexualized media consumption and permissive sexual attitudes in Dutch adolescents. Archives of Sexual Behavior, 44, 743–754.

    Article  Google Scholar 

  • Bonetti, L., Campbell, M. A., & Gilmore, L. (2010). The relationship of loneliness and social anxiety with children’s and adolescents’ online communication. Cyberpsychology, Behavior and Social Networking, 13(3), 279–285.

    Article  Google Scholar 

  • Braun-Courville, D. K., & Rojas, M. (2009). Exposure to sexually explicit web sites and adolescent sexual attitudes and behaviors. The Journal of Adolescent Health, 45(2), 156–162.

    Article  Google Scholar 

  • Brown, J. D., & Cantor, J. (2000). An agenda for research on youth and the media. Journal of Adolescent Health, 27, 1–7.

    Google Scholar 

  • Brown, J. D., & L’Engle, K. L. (2009). X-rated: Sexual attitudes and behaviors associated with U.S. early adolescents’ exposure to sexually explicit media. Communication Research, 36(1), 129–151.

    Article  Google Scholar 

  • Brown, J. D., L’Engle, K., Pardun, C., Guo, G., Kenneavy, K., & Jackson, C. (2006). Sexy media matter: Exposure to sexual content in music, movies, television and magazines predicts black and white adolescents’ sexual behavior. Pediatrics, 117, 1018–1027.

    Article  Google Scholar 

  • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258.

    Article  Google Scholar 

  • Byrne, B. M. (1990). Methodological approaches to the validation of academic self-concept: The construct and its measures. Applied Measurement in Education, 3, 185–207.

    Article  Google Scholar 

  • Chen, A.-S., Leung, M., Chen, C.-H., & Yang, S. C. (2013). Exposure to internet pornography among Taiwanese adolescents. Social Behavior and Personality, 41(1), 157–164.

    Article  Google Scholar 

  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.

    Article  Google Scholar 

  • Doornwaard, S. M., Bickham, D. S., Rich, M., ter Bogt, T. F. M., & van den Eijnden, R. J. J. M. (2015). Adolescents’ use of sexually explicit internet material and their sexual attitudes and behavior: Parallel development and directional effects. Developmental Psychology, 51(10), 1476–1488.

    Article  Google Scholar 

  • Flood, M. (2007). Exposure to pornography among youth in Australia. Journal of Sociology, 43(1), 45–60.

    Article  Google Scholar 

  • Häggström-Nordin, E., Hanson, U., & Tydén, T. (2005). Associations between pornography consumption and sexual practices among adolescents in Sweden. International Journal of STD & AIDS, 16, 102–107.

    Article  Google Scholar 

  • Hong Kong Census and Statistics Department. (2017). Information technology usage and penetration (Thematic Household Survey Report No. 62). Retrieved from http://www.censtatd.gov.hk/hkstat/sub/so120.jsp

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Article  Google Scholar 

  • Internet World Stats. (2018). World internet users statistics and 2017 world population stats. Retrieved from http://www.internetworldstats.com/stats.htm

  • Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179–186.

    Article  Google Scholar 

  • Kessler, R. C., & Greenberg, D. F. (1981). Linear panel analysis: Models of quantitative change. New York: Academic Press.

    Google Scholar 

  • Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.

    Article  Google Scholar 

  • Little, T. D., Preacher, K. J., Selig, J. P., & Card, N. A. (2007). New developments in latent variable panel analyses of longitudinal data. International Journal of Behavioral Development, 31, 357–365.

    Article  Google Scholar 

  • Livingstone, S., & Bober, M. (2004). UK children go online: Surveying the experiences of young people and their parents. London: London School of Economics and Political Science.

    Google Scholar 

  • Lo, V., & Wei, R. (2006). Exposure to internet pornography and Taiwanese adolescents’ sexual attitudes and behavior. Journal of Broadcasting & Electronic Media, 49(2), 221–237.

    Article  Google Scholar 

  • Lou, C., Cheng, Y., Gao, E., Zuo, X., Emerson, M. R., & Zabin, L. S. (2012). Media’s contribution to sexual knowledge, attitudes, and behaviors for adolescents and young adults in three Asian cities. Journal of Adolescent Health, 50(3), S26–S36.

    Article  Google Scholar 

  • Ma, C. M. S. (2017). A latent profile analysis of internet use and its association with psychological well-being outcomes among Hong Kong Chinese early adolescents. Applied Research in Quality of Life. Advance online publication. https://doi.org/10.1007/s11482-017-9555-2.

  • 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.

    Article  Google Scholar 

  • Ma, C. M. S., Shek, D. T. L., & Lai, C. C. W. (2016). Individual differences in intentional and unintentional exposure to online pornography among Hong Kong Chinese adolescents. International Journal on Disability and Human Development, 16(4), 417–423.

    Google Scholar 

  • Ma, C. M. S., Lai, C. C. W. & Shek, D. T. L. (2018). Intentional and unintentional exposure to online pornography among early adolescents: Findings in a Chinese context. Paper presented at International conference on business and social science. Kyoto, Japan. Retrieved from http://icbass.org/site/mypage.aspx?pid=24&lang=en&sid=6066

  • Mitchell, K. J., Finkelhor, D., & Wolak, J. (2003). The exposure of youth to unwanted sexual material on the internet: A national survey of risk, impact, and prevention. Youth Society, 34(3), 330–358.

    Article  Google Scholar 

  • Morahan-Martin, J., & Schumacher, P. (2003). Loneliness and social uses of the internet. Computers in Human Behavior, 19, 659–671.

    Article  Google Scholar 

  • Nesi, J., & Prinstein, M. J. (2015). Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology, 43, 1427–1438.

    Article  Google Scholar 

  • Peter, J., & Valkenburg, P. M. (2006). Adolescents’ exposure to sexually explicit online material and recreational attitudes toward sex. Communication Research, 56, 639–660.

    Google Scholar 

  • Peter, J., & Valkenburg, P. M. (2008). Adolescents’ exposure to sexually explicit materials, sexual uncertainty, and attittudes toward uncommitted sexual exploration: Is there a link? Communication Research, 35, 579–601.

  • Peter, J., & Valkenburg, P. M. (2011). The use of sexually explicit internet material and its antecedents: A longitudinal comparison of adolescents and adults. Archives of Sexual Behavior, 40(5), 1015–1025. https://doi.org/10.1007/s10508-010-9644-x.

    Article  Google Scholar 

  • Peter, J., & Valkenburg, P. M. (2016). Adolescents and Pornography: A review of 20 years of research. The Journal of Sex Research, 53, 509–531.

  • Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults. Computers in Human Behavior, 69, 1–9.

    Article  Google Scholar 

  • Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications to development research (pp. 399–419). Thousand Oaks: Sage.

    Google Scholar 

  • Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507–514. https://doi.org/10.1007/BF02296192.

    Article  Google Scholar 

  • Schalet, A. T. (2011). Beyound abstinence and risk: A new paradigm for adolescent sexual health. Women's Health Issues, 21(3), S5–S7.

    Article  Google Scholar 

  • Selig, J. P., & Little, T. D. (2012). Autoregressive and cross-lagged panel analysis for longitudinal data. In B. Laursen, T. D. Little, & N. A. Card (Eds.), Handbook of developmental research methods (pp. 265–278). New York: The Guildford Press.

    Google Scholar 

  • Shek, D. T. L., & Ma, C. M. S. (2016). A six-year longitudinal study of consumption of pornographic materials in Chinese adolescents in Hong Kong. Journal of Pediatric and Adolescent Gynecology, 29, S12–S21.

    Article  Google Scholar 

  • Sprecher, S. (1989). Premarital sexual standards of different categories of individuals. The Journal of Sex Research, 26(2), 232–248.

    Article  Google Scholar 

  • Statista (2018). Countries with the highest number of internet users 2017. Retrieved from https://www.statista.com/statistics/262966/number-of-internet-users-in-selected-countries/

  • To, S. M., & Chu, F. (2009). An interpretive phenomenological analysis of the lived experiences of Chinese young females in the course of unintended pregnancy. International Journal of Adolescence Medicine and Health, 21(4), 531–543.

    Google Scholar 

  • Tom, S. M., Ngai, S. S. Y., & Kan, S. M. (2012). Direct and mediating effects of accessing sexually explicit online materials on Hong Kong adolescents’ attitude, knowledge, and behavior relating to sex. Children and Youth Services Review, 34(11), 2156–2163.

    Article  Google Scholar 

  • Trepte, S., & Reinecke, L. (2013). The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study. Computers in Human Behavior, 29, 1101–1112.

    Article  Google Scholar 

  • Tu, X., Lou, C., Gao, E., Li, N., & Zabin, L. S. (2012). The relationship between sexual behavior and nonsexual risk behaviors among unmarried youth in three Asian cities. Journal of Adolescent Health, 50, S75–S82.

    Article  Google Scholar 

  • Valkenburg, P. M., Koutamanis, M., & Vossen, H. G. M. (2017). The concurrent and longitudinal relationships between adolescents’ use of social network sites and their social self-esteem. Computers in Human Behavior, 76, 35–41.

    Article  Google Scholar 

  • Van Oosten, J. M. F., Peter, J., & Boot, I. (2015). Exploring associations between exposure to sexy online self-presentations and adolescents’ sexual attitudes and behavior. Journal of Youth and Adolescence, 44, 1078–1091.

    Article  Google Scholar 

  • Ward, L. M. (2003). Understanding the role of entertainment media in the sexual socialization of American youth: A review of empirical research. Developmental Review, 23, 347–388.

    Article  Google Scholar 

  • Wolak, J., Mitchell, K., & Finkelhor, D. (2007). Unwanted and wanted exposure to online pornography in a national sample of youth internet users. Pediatrics, 119(2), 247–257. https://doi.org/10.1542/peds.2006-1891.

    Article  Google Scholar 

  • World Internet Project (2015). The world internet project international report (6th Ed.). Center for the Digital Future, USC Annenberg. Retrieved from http://www.digitalcenter.org/world-internet-project

  • Ybarra, M. L., & Mitchell, K. J. (2005). Exposure to internet pornography among children and adolescents: A national survey. Cyberpsychology & Behavior, 8(5), 473–486. https://doi.org/10.1089/cpb.2005.8.473.

    Article  Google Scholar 

  • Zhao, F., Zhang, Z. H., Bi, L., Wu, X. S., Wang, W. J., Li, Y. F., & Sun, Y. H. (2017). The association between life events and internet addiction among Chinese vocational school students: The mediating role of depression. Computers in Human Behavior, 70, 30–38.

    Article  Google Scholar 

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Acknowledgments

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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Correspondence to Cecilia M. S. Ma.

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Ma, C.M.S. Relationships between Exposure to Online Pornography, Psychological Well-Being and Sexual Permissiveness among Hong Kong Chinese Adolescents: a Three-Wave Longitudinal Study. Applied Research Quality Life 14, 423–439 (2019). https://doi.org/10.1007/s11482-018-9604-5

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  • DOI: https://doi.org/10.1007/s11482-018-9604-5

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