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Adolescents’ online sexual experiences (e.g., pornography use, sexual chatting, sexualized social media use, and nude image exchange) provide a new context for sexual socialization. Traditionally, online sexual experiences are often aggregated averages, which neglect their complexity and fail to identify individual differences in the experience. Moreover, the lack of longitudinal research in this area has failed to determine if these experiences predict later offline sexual health and violence outcomes. An analysis of two waves of surveys completed by ethnically and socioeconomically diverse female adolescents (N = 296; 49% maltreated; aged 14–16 years) participating in a larger cross-sequential study was conducted to address these gaps. Established latent classes from the prerequisite study of online sexual experiences at Time 1 were Online Abstinent (low probability of any online sexual experiences), Online Inclusive (high probability of all online sexual experiences), Attractors (high probability of attracting attention from others), and Seekers (high probability of seeking out sexual content and interaction). Class membership uniquely predicted HIV risk, number of physically violent romantic partners, and the occurrence of sexual assault at Time 2. Although membership in risker online sexual experience classes predicted later offline risk and victimization, this was especially true for maltreated participants. These findings demonstrate the advantages of examining online sexual experiences in a way that emphasizes their complexity and individual differences in influential susceptibility.
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Bakk, Z., & Vermunt, J. K. (2016). Robustness of stepwise latent class modeling with continuous distal outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 23, 20–31. CrossRef
Barnes, J. E., Noll, J. G., Putnam, F. W., & Trickett, P. K. (2009). Sexual and physical revictimization among victims of severe childhood sexual abuse. Child Abuse & Neglect, 33, 412–420. CrossRef
Bay-Cheng, L. Y. (2015). The agency line: a neoliberal metric for appraising young women’s sexuality. Sex Roles, 73, 279–291. CrossRef
Bergman, L. R., & Trost, K. (2006). The person-oriented versus the variable-oriented approach: are they complementary, opposites, or exploring different worlds? Merrill-Palmer Quarterly, 52, 601–632. CrossRef
Bolck, A., Croon, M. A., & Hagenaars, J. A. (2004). Estimating latent structure models with categorical variables: one-step versus three-step estimators. Political Analysis, 12, 3–27. CrossRef
Buhi, E. R., Klinkenberger, N., McFarlane, M., Kachur, R., Daley, E. M., Baldwin, J., & Rietmeijer, C. (2013). Evaluating the Internet as a sexually transmitted disease risk environment for teens: findings from the communication, health, and teens study. Sexually Transmitted Diseases, 40, 528–533. CrossRefPubMed
Centers for Disease Control and Prevention. (2011). HIV/AIDS surveillance report. http://www.cdc.gov/hiv/pdf/statistics_surveillance_Adolescents.pdf. Accessed 19 Aug 2013.
Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. New York: Wiley.
Conger, R. D., Cui, M., Bryant, C. M., & Elder, Jr., G. H. (2000). Competence in early adult romantic relationships: a developmental perspective on family influences. Journal of Personality and Social Psychology, 79, 224–237. CrossRef
Crimmins, D. M., & Seigfried-Spellar, K. C. (2014). Peer attachment, sexual experiences, and risky online behaviors as predictors of sexting behaviors among undergraduate students. Computers in Human Behavior, 32, 268–275. CrossRef
DeHart, D., Dwyer, G., Seto, M. C., Moran, R., Letourneau, E., & Schwarz-Watts, D. (2017). Internet sexual solicitation of children: A proposed typology of offenders based on their chats, e-mails, and social network posts. Journal of Sexual Aggression, 23, 77–88. CrossRef
Dir, A. L., Cyders, M. A., & Coskunpinar, A. (2013). From the bar to the bed via mobile phone: a first test of the role of problematic alcohol use, sexting, and impulsivity-related traits in sexual hookups. Computers in Human Behavior, 29, 1664–1670. CrossRef
Dir, A.L., Riley, E.N., Cyders, M.A., & Smith, G.T. (2018). Problematic alcohol use and sexting as risk factors for sexual assault among college women. Journal of American College Health, 66, 1–8. CrossRef
Franz, M. R., DiLillo, D., & Gervais, S. J. (2016). Sexual objectification and sexual assault: do self-objectification and sexual assertiveness account for the link? Psychology of Violence, 6, 262–270. CrossRef
Fredrickson, B. L., & Roberts, T. (1997). Objectification theory: toward understanding women’s lived experiences and mental health risks. Psychology of Women Quarterly, 21, 173–206. CrossRef
Hamby, S., Finkelhor, D., & Turner, H. (2012). Teen dating violence: Co-occurrence with other victimizations in the National Survey of Children’s Exposure to Violence (NatSCEV). Psychology of Violence, 2, 111–124. CrossRef
Handyside, S., & Ringrose, J. (2017). Snapchat memory and youth digital sexual cultures: mediated temporality, duration and affect. Journal of Gender Studies, 26, 347–360. CrossRef
Henderson, L., & Morgan, E. (2011). Sexting and sexual relationships among teens and young adults. McNair Scholars Research Journal. http://scholarworks.boisestate.edu/mcnair_journal/vol7/iss1/9
Kann, L., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H., & Hawkins, J., et al. (2016). Youth risk behavior surveillance–United States, 2015. MMWR Surveillance Summaries, 65, 1–174.
López-Guimerà, G., Levine, M. P., Sánchez-Carracedo, D., & Fauquet, J. (2010). Influence of mass media on body image and eating disordered attitudes and behaviors in females: a review of effects and processes. Media Psychology, 13, 387–416. CrossRef
Maas, M.K. & Dewey, S. (2018). Internet pornography use among collegiate women: Gender attitudes, body monitoring, and sexual behavior. Sexualization, Media, and Society. Advanced online publication. https://doi.org/10.1177/2158244018786640
Mattebo, M., Tydén, T., Häggström-Nordin, E., Nilsson, K. W., & Larsson, M. (2016). Pornography consumption among adolescent girls in Sweden. The European Journal of Contraception & Reproductive Health Care, 21, 295–302. CrossRef
Messman-Moore, T. L., & Brown, A. L. (2004). Child maltreatment and perceived family environment as risk factors for adult rape: is child sexual abuse the most salient experience? Child Abuse & Neglect, 28, 1019–1034. CrossRef
Morokoff, P. J., Redding, C. A., Harlow, L. L., Cho, S., Rossi, J. S., Meier, K. S., Mayer, K. H., Koblin, B., & Brown-Peterside, P. (2009). Associations of sexual victimization, depression, and sexual assertiveness with unprotected sex: a test of the multifaceted model of HIV across gender. Journal of Applied Biobehavioral Research, 14, 30–54. CrossRefPubMedPubMedCentral
Noll, J.G., & Shenk, C.E. (2013). Teen birth rates in sexually abused and neglected females. Pediatrics, 131, 1181–1187. CrossRef
Noll, J. G., Shenk, C. E., Barnes, J. E., & Haralson, K. J. (2013). Association of maltreatment with high-risk internet behaviors and offline encounters. Pediatrics, 131, 510–517. CrossRef
Noll, J. G., Shenk, C. E., Barnes, C. E., & Putnam, F. W. (2009). Childhood abuse, avatar choices, and other risk factors associated with internet initiated victimization of adolescent girls. Pediatrics, 123, 1078–1083. CrossRef
O’Sullivan, L. F. (2014). Linking online sexual activities to health outcomes among teens. In E. S. Lefkowitz & S. A. Vasilenko (Eds.), New Directions for Child and Adolescent Development: Positive and negative outcomes of sexual behavior, 144 (pp. 37–51). San Francisco: Jossey-Bass.
Ringrose, J., Harvey, L., Gill, R., & Livingstone, S. (2013). Teen girls, sexual double standards and ‘sexting’: Gendered value in digital image exchange. Feminist Theory, 14, 305–323. CrossRef
Ricciardelli, R., & Adorjan, M. (2018). ‘If a girl’s photo gets sent around, that’s a way bigger deal than if a guy’s photo gets sent around’: gender, sexting, and the teenage years. Journal of Gender Studies, 1–15. Advanced online publiction.
Rothman, E. F., Adhia, A., Christensen, T. T., Paruk, J., Alder, J., & Daley, N. (2018). A pornography literacy class for youth: results of a feasibility and efficacy pilot study. American Journal of Sexuality Education, 13, 1–17. CrossRef
Sales, J. M., Lang, D. L., DiClemente, R. J., Latham, T. P., Wingood, G. M., Hardin, J. W., & Rose, E. S. (2012). The mediating role of partner communication frequency on condom use among African American adolescent females participating in an HIV prevention intervention. Health Psychology, 31, 63–69. CrossRefPubMed
Schneider, M., & Hirsch, J.S. (2018). Comprehensive sexuality education as a primary prevention strategy for sexual violence perpetration. Trauma, Violence, & Abuse, 1-17. Advanced online publication.
Simon, W., & Gagnon, J. H. (1984). Sexual scripts. In R. Parker & P. Aggleton (Eds.), Culture, Society and Sexuality (pp. 31–40). New York: Routledge.
Stonard, K. E., Bowen, E., Lawrence, T. R., & Price, S. A. (2014). The relevance of technology to the nature, prevalence and impact of adolescent dating violence and abuse: a research synthesis. Aggression and Violent Behavior, 19, 390–417. CrossRef
Tolman, D. L. (2009). Dilemmas of desire: Teenage girls talk about sexuality. Boston: Harvard University Press.
Twenge, J.M., Martin, G.N., & Spitzberg, B.H. (2018). Trends in US Adolescents’ media use, 1976–2016: The rise of digital media, the decline of TV, and the (near) demise of print. Psychology of Popular Media Culture. Advanced online publication.
Vandenbosch, L., & Eggermont, S. (2012). Understanding sexual objectification: a comprehensive approach toward media exposure and girls’ internalization of beauty ideals, self-objectification, and body surveillance. Journal of Communication, 62, 869–887. CrossRef
Vermunt, J. K., & Magidson, J. (2013). Latent GOLD5.0 Upgrade Manual. Belmont: Statistical Innovations Inc.
Whittle, H., Hamilton-Giachritsis, C., Beech, A., & Collings, G. (2013). A review of online grooming: characteristics and concerns. Aggression and Violent Behavior, 18, 62–70. CrossRef
Yee, N., & Bailenson, J. (2007). The proteus effect: the effect of transformed self-representation on behavior. Human Communication Research, 33, 271–290. https://doi.org/10.1111/j.1468-2958.2007.00299.x. CrossRef
Zweig, J. M., Dank, M., Yahner, J., & Lachman, P. (2013). The rate of cyber dating abuse among teens and how it relates to other forms of teen dating violence. Journal of Youth and Adolescence, 42, 1063–1077. CrossRef
- Online Sexual Experiences Predict Subsequent Sexual Health and Victimization Outcomes Among Female Adolescents: A Latent Class Analysis
Megan K. Maas
Bethany C. Bray
Jennie G. Noll
- Springer US