Lifetime Prevalence Rates and Overlap of Physical, Psychological, and Sexual Dating Abuse Perpetration and Victimization in a National Sample of Youth
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National, epidemiological data that provide lifetime rates of psychological, physical, and sexual adolescent data abuse (ADA) perpetration and victimization within the same sample of youth are lacking. To address this gap, data from 1058 randomly selected U.S. youth, 14–21 years old, surveyed online in 2011 and/or 2012, were weighted to be nationally representative and analyzed. In addition to reporting prevalence rates, we also examined the overlap of the six types of ADA queried. Results suggested that ADA was commonly reported by both male and female youth. Half (51 %) of female youth and 43 % of male youth reported victimization of at least one of the three types of ADA. Half (50 %) of female youth and 35 % of male youth reported at least one type of ADA perpetration. More male youth reported sexual ADA perpetration than female youth. More female youth reported perpetration of psychological and physical ADA and more reported psychological victimization than male youth. Rates were similar across race and ethnicity, but increased with age. This increase may have been because older youth spent longer time in relationships than younger youth, or perhaps because older youth were developmentally more likely than younger youth to be in abusive relationships. Many youth reported being both perpetrators and victims and/or involved in multiple forms of ADA across their dating history. Together, these findings suggested that interventions should acknowledge that youth may play multiple roles in abusive dyads. Understanding the overlap among ADA within the same as well as across multiple relationships will be invaluable to future interventions aiming to disrupt and prevent ADA.
KeywordsTeen dating violence Adolescent dating abuse Adolescence Sexual violence
This study was supported by grant number 5R01CE001543 from the Centers for Disease Control and Prevention. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. We would like to thank the entire study team from the Center for Innovative Public Health Research (formerly Internet Solutions for Kids), Harris Interactive, Johns Hopkins Bloomberg School of Public Health, and the Centers for Disease Control and Prevention, who contributed to the planning and implementation of the study. We thank the families for their time and willingness to participate in this study, Dr. Kathleen Basile for her substantial contributions to earlier drafts, and Ms. Emilie Chen for her contributions to the final draft. An abstract of this paper was presented at the meeting of the American Psychological Association, Honolulu, 2013.
- Black, M. C., Basile, K. C., Breiding, M. J., Smith, S. G., Walters, M. L., Merrick, M. T., … Stevens, M. R. (2011). The National Intimate Partner and Sexual Violence Survey (NISVS): 2010 Summary Report. Retrieved from Atlanta, GA: National Center for Injury Prevention and Control, Centers for Disease Control and Prevention.Google Scholar
- Bureau of Labor Statistics & Bureau of the Census. (2006). Current Population Survey. Retrieved July 5, 2006, from http://www.census.gov/cps/.
- Chiu, G., Lutfey, K., Litman, H., Link, C., Hall, S., & McKinlay, J. (2013). Prevalence and overlap of childhood and adult physical, sexual, and emotional abuse: A descriptive analysis of results from the Boston Area Community Health (BACH) survey. Violence and Victims, 28, 381–402. doi: 10.1891/0886-6708.11-043.CrossRefPubMedPubMedCentralGoogle Scholar
- Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Flint, K. H., Hawkins, J., … Wechsler, H. (2012). Youth Risk Behavior Surveillance—United States, 2011. MMWR Morbidity and Mortality Weekly Report, 61(04), 1–162.Google Scholar
- Fellmeth, G. L., Heffernan, C., Nurse, J., Habibula, S., & Sethi, D. (2013). Educational and skills-based interventions for preventing relationship and dating violence in adolescents and young adults. Cochrane Database of Systematic Reviews, 6, CD004534. doi: 10.1002/14651858.CD004534.pub3.PubMedGoogle Scholar
- Foshee, V. A., McNaughton Reyes, H. L., & Ennett, S. T. (2010). Examination of sex and race differences in longitudinal predictors of the initiation of adolescent dating violence perpetration. Journal of Aggression, Maltreatment & Trauma, 19, 492–516. doi: 10.1080/10926771.2010.495032.CrossRefGoogle Scholar
- Halpern, C. T., Oslak, S. G., Young, M. L., Martin, S. L., & Kupper, L. L. (2001). Partner violence among adolescents in opposite-sex romantic relationships: Findings from the National Longitudinal Study of Adolescent Health. American Journal of Public Health, 91, 1679–1685. doi: 10.2105/ajph.91.10.1679.CrossRefPubMedPubMedCentralGoogle Scholar
- Halpern, C. T., Young, M. L., Waller, M. W., Martin, S. L., & Kupper, L. L. (2004). Prevalence of partner violence in same-sex romantic and sexual relationships in a national sample of adolescents. Journal of Adolescent Health, 35, 124–131. doi: 10.1016/j.jadohealth.2003.09.003.CrossRefPubMedGoogle Scholar
- Haynie, D. L., Farhat, T., Brooks-Russell, A., Wang, J., Barbieri, B., & Iannotti, R. J. (2013). Dating violence perpetration and victimization among U.S. adolescents: Prevalence, patterns, and associations with health complaints and substance use. Journal of Adolescent Health, 53, 194–201. doi: 10.1016/j.jadohealth.2013.02.008.CrossRefPubMedPubMedCentralGoogle Scholar
- Holt, M. K., & Espelage, D. L. (2005). Social support as a moderator between dating violence victimization and depression/anxiety among African American and Caucasian adolescents. School Psychology Review, 34, 309–328.Google Scholar
- Joinson, A. (1998). Causes and implications of disinhibited behaviors on the Internet. In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, interpersonal, and transpersonal implications (pp. 43–58). New York: Academic Press.Google Scholar
- Kann, L., Kinchen, S., Shanklin, S. L., Flint, K. H., Hawkins, J., Harris, W. A., … Centers for Disease Control and Prevention. (2014). Youth Risk Behavior Surveillance—United States, 2013. Morbidity and Mortality Weekly Report, 63(Suppl. 4), 1–168.Google Scholar
- Miller, E., & Levenson, R. (2013). Hanging out or hooking up: Clinical guidelines on responding to adolescent relationship abuse (2nd ed.). San Francisco: Futures Without Violence.Google Scholar
- National Institutes of Health. (1999, March 17). Frequently asked questions. Inclusion of children as participants in research involving human subjects. Retrieved February 4, 2016, from http://grants.nih.gov/grants/funding/children/pol_children_qa.htm#2590.
- Pew Research Center for the People & the Press. (2012). Assessing the representativeness of public opinion surveys. Washington, DC: Pew Research Center.Google Scholar
- Harris Interactive. Harris Poll OnlineSM Panel. Retrieved March 1, 2012, from http://www.harrisinteractive.com/MethodsTools/DataCollection/HarrisPollOnlinePanel.aspx.
- Schonlau, M., Zapert, K., Simon, L. P., Sanstad, K. H., Marcus, S. M., Adams, J., … Berry, S. H. (2004). A comparison between response from a propensity-weighted web survey and an identical RDD survey. Social Science Computer Review, 22, 128–138. doi: 10.1177/0894439303256551.
- StataCorp. (2006). Stata statistical software (Release 9.0). College Station, TX: Stata Corporation.Google Scholar
- Terhanian, G., Bremer, J., Smith, R., & Thomas, R. (2000). Correcting data from online surveys for the effects of nonrandom selection and nonrandom assignment. Rochester, NY: Harris Interactive.Google Scholar
- U. S. Census Bureau. (2008). The 2008 Statistical Abstract of the United States. Retrieved September 23, 2005, from https://www.census.gov/prod/2007pubs/08abstract/pop.pdf.
- Wolitzky-Taylor, K. B., Ruggiero, K. J., Danielson, C. K., Resnick, H. S., Hanson, R. F., Smith, D. W., … Kilpatrick, D. G. (2008). Prevalence and correlates of dating violence in a national sample of adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 47, 755–762. doi: 10.1097/CHI.0b013e318172ef5f.