MEGA♪: Những phát hiện thực nghiệm về hiện tượng siêu nhiên: Thanh thiếu niên có hành vi tình dục bạo lực và thanh thiếu niên có hành vi tình dục bạo lực săn mồi

Journal of Child & Adolescent Trauma - Tập 12 - Trang 457-467 - 2018
L. C. Miccio-Fonseca1
1Clinic for the Sexualities, San Diego, USA

Tóm tắt

Các phát hiện thực nghiệm từ hai nghiên cứu chính sử dụng công cụ đánh giá rủi ro MEGA♪ được định hình sinh thái: Nghiên cứu Các mẫu kết hợp MEGA♪ (N = 3901 [1979–2017] (Miccio-Fonseca 2017a, d) và Nghiên cứu Các mẫu kết hợp Kiểm định chéo MEGA♪ (N = 2717). Các mẫu bao gồm thanh thiếu niên nam, nữ và thanh thiếu niên chuyển giới nữ có hành vi lạm dụng tình dục, trong độ tuổi từ 4 đến 19, bao gồm cả thanh thiếu niên có chức năng trí tuệ thấp, nằm trong ngưỡng giới hạn hoặc thấp trung bình. Những phát hiện này hỗ trợ thêm cho một hệ thống phân loại trước đó xác định hai tiểu nhóm bị bỏ qua bởi hầu hết các công cụ đánh giá rủi ro hiện nay: thanh thiếu niên có hành vi tình dục bạo lực và thanh thiếu niên có hành vi tình dục bạo lực săn mồi (Miccio-Fonseca và Rasmussen Tạp chí Tấn công, Lạm dụng & Chấn thương, 18, 106–128, 2009, 2014). Các Nghiên cứu MEGA♪ cung cấp dữ liệu chuẩn hóa, với điểm cắt (được hiệu chỉnh) theo độ tuổi và giới tính, thiết lập bốn mức độ rủi ro: Thấp, Trung bình, Cao và Rất Cao. Mức độ rủi ro thứ tư, Rất Cao, làm cho MEGA♪ khác biệt so với các công cụ đánh giá rủi ro khác cho thanh thiếu niên lạm dụng tình dục, nơi chỉ giới hạn ở ba mức độ rủi ro. Mức độ rủi ro Rất Cao xác định rõ ràng các thanh thiếu niên nguy hiểm nhất, do đó hỗ trợ thực nghiệm cho hệ thống phân loại thanh thiếu niên có hành vi tình dục bạo lực và thanh thiếu niên có hành vi tình dục bạo lực săn mồi.

Từ khóa

#MEGA #đánh giá rủi ro #hành vi tình dục bạo lực #thanh thiếu niên #dữ liệu chuẩn hóa

Tài liệu tham khảo

American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed. DSM-5 ed.). Washington: Author. Association for the Treatment of Sexual Abusers (ATSA). (2017). Practice guidelines for the assessment, treatment, and intervention with adolescents who have engaged in sexually abusive behavior. Beaverton: Author. Barra, S., Bessler, C., Landolt, M. A., & Aebi, M. (2018). Testing the validity of criminal risk assessment tools in sexually abusive youth. Psychological Assessment. Online First Publication, May 24, 2018. https://doi.org/10.1037/pas0000590. Blasingame, G. D. (2018). Risk assessment of adolescents with intellectual disabilities who exhibit sexual behavior problems or sexual offending behavior. Journal of Child Sexual Abuse: Special Issue on Risk Assessment of Sexually Abusive Youth. Published online 30 Mar. 2018. https://doi.org/10.1080/10538712.2018.1452324. Caldwell, M. F. (2013). Accuracy of sexually violent person assessment of juveniles adjudicated for sexual offenses. Sexual Abuse: A Journal of Research and Treatment, 25(5), 516–526. https://doi.org/10.1177/1079063213480818. Caldwell, M. F. (2016, July 18). Quantifying the decline in juvenile sexual recidivism rates. Psychology, Public Policy, and Law. Advance online publication: https://doi.org/10.1037/law0000094. Carpentier, J., & Proulx, J. (2011). Correlates of recidivism among adolescents who have sexually offended. Sexual Abuse: A Journal of Research and Treatment, 23, 434–455. https://doi.org/10.1177/1079063211409950. Chu, M. C., & Thomas, S. D. M. (2010). The relationship between typology and recidivism. Sexual Abuse: A Journal of Research and Treatment, 22(2), 218–233. https://doi.org/10.1177/1079063210369011. Driemeyer, W., Yoon, D., & Briken, P. (2011). Sexuality, antisocial behavior, aggressiveness, and victimization in juvenile sexual offenders: A literature review. Sexual Offender Treatment, 6(1), 1–26. Retrieved January 29, 2012 from: http://www.sexual-offender-treatment.org/. Elkovitch, N., Viljoen, J. L., Scalora, M. J., & Ullman, D. (2008). Assessing risk of reoffending in adolescents who have committed a sexual offense: The accuracy of clinical judgments after completion of risk assessment instruments. Behavioral Sciences and the Law, 26(4), 511–528. https://doi.org/10.1002/bsl.832. Epperson, D. L., & Ralston, C. A. (2015). Development and validation of the juvenile sexual offender recidivism risk assessment tool -II. Sexual Abuse: A Journal of Research and Treatment, 27(6), 529–558. https://doi.org/10.1177/1079063213514452. Fanniff, A. M., & Letourneau, E. J. (2012). Another piece of the puzzle: Psychometric properties of the J-SOAP-II. Sexual Abuse: A Journal of Research and Treatment, 24(4), 378–408. https://doi.org/10.1177/1079063211431842. Finkelhor, D., Ormrod, R., & Chaffin, M. (2009, December). Juveniles who commit sex offenses against minors. Juvenile Justice Bulletin. U.S. Department of Justice, Office of Juvenile Justice and Delinquency Prevention. http://www.ncjrs.gov/pdffiles1/ojjdp/227763.pdf. Gerhold, C. K., Brown, K. D., & Beckett, R. (2007). Predicting recidivism in adolescent sexual offenders. Aggression and Violent Behavior, 12(4), 427–438. https://doi.org/10.1016/j.avb.2006.10.004. Gilby, R., Wolf, L., & Goldberg, B. (1989). Mentally-retarded adolescent sex offenders - a survey and pilot study. Canadian Journal of Psychiatry, 34(6), 542–548. Griffin, H. L., & Vettor, S. (2012). Predicting sexual re-offending in a UK sample of adolescents with intellectual disabilities. Journal of Sexual Aggression, 18(1), 64–80. https://doi.org/10.1080/13552600.2011.617013. Harris, A. J. R., & Hanson, R. K. (2010). Clinical, actuarial and dynamic risk assessment of sexual offenders: Why do things keep changing? Journal of Sexual Aggression, 16(3), 296–310. https://doi.org/10.1080/13552600.2010.494772. Hempel, I., Buck, N., Cima, M., & van Marle, H. (2013). Review of risk assessment instruments for juvenile sex offenders: What is next? International Journal of Offender Therapy and Comparative Criminology, 57(2), 208–228. https://doi.org/10.1177/0306624X11428315. Herman, J. L., Flores, A. R., Brown, T. N., Wilson, B.D.M., & Conron, K. (2017). Age of individuals who identify as transgender in the United States. The Williams Institute at the UCLA School of Law. https://williamsinstitute.law.ucla.edu/research/transgender-issues/new-estimates-show-that-150000-youth-ages-13-to-17-identify-as-transgender-in-the-us/. Karsten, T. M., & Dempsey, R. (2018). Neuropsychological risk factors to consider when assessing sexually abusive youth. Special issue: Risk assessment of sexually abusive youth. Journal of Child Sexual Abuse. https://doi.org/10.1080/10538712.2018.1542419. Lane, S. (1997). Special populations: Children, females, the developmentally disabled and violent youth. In G. Ryan & S. Lane (Eds.), Juvenile sexual offending: Causes, consequences, and correction (Rev. ed., pp. 322–359). San Francisco: Jossey-Bass. Långström, N. (2002). Long-term follow-up of criminal recidivism in young sex offenders: Temporal patterns and risk factors. Psychology, Crime & Law, 8, 41–58. https://doi.org/10.1080/10683160290000888. Långström, N., & Grann, M. (2000). Risk for criminal recidivism among young sex offenders. Journal of Interpersonal Violence, 5, 855–871. https://doi.org/10.1177/088626000015008005. Madigan, S., Ly, A., Rash, C., Van Ouytsel, J., & Temple, J. (2018). Prevalence of multiple forms of sexting behavior among youth; a systematic review and meta-analysis. JAMA Pediatrics, 172(4), 327–335. https://doi.org/10.1001/jamapediatrics.2017.5314. Martinez-Prather, K., & Vandiver, D. (2014). Sexting among teenagers in the United States: A retrospective analysis of identifying motivating factors, potential targets, and the role of the capable guardian. International Journal of Cyber Criminology, 8(1), 21–35. McCann, K., & Lussier, P. (2008). Antisociality, sexual deviance, and sexual reoffending in juvenile sex offenders: A meta-analytical investigation. Youth Violence and Juvenile Justice, 6, 363–385. https://doi.org/10.1177/1541204008320260. Miccio-Fonseca, L. C. (1996). Research report: On sex offenders, victims and their families. Special Edition, Journal of Offender Rehabilitation, 23(3/4), 71–83. Miccio-Fonseca, L. C. (2000). Adult and adolescent female sex offenders: Experiences compared to other females and male sex offenders. Special Edition, Journal of Psychology & Human Sexuality, 11(3), 75–88. Miccio-Fonseca, L. C. (2001). Somatic and mental symptoms of male sex offenders: A comparison among offenders, victims, and their families. Journal of Psychology & Human Sexuality, 13(3/4), 103–114. Miccio-Fonseca, L. C. (2009). MEGA ♪: A new paradigm in protocol assessing sexually abusive children and adolescents. Journal of Child and Adolescent Trauma, 2, 124–141. https://doi.org/10.1080/19361520902922434. Miccio-Fonseca, L. C. (2010). MEGA ♪: An ecological risk assessment tool of risk and protective factors for assessing sexually abusive children and adolescents. Journal of Aggression, Maltreatment, and Trauma, 19, 734–756. https://doi.org/10.1080/10926771.2010.515542. Miccio-Fonseca, L. C. (2013a). MEGA ♪: A new paradigm in risk assessment tools for sexually abusive youth. Journal of Family Violence, 28(5). 10.1007/s10896-013-9527-8. Miccio-Fonseca, L. C. (2013b, April). MEGA ♪: An Ecological risk assessment tool for sexually abusive adolescents and children ages 4 to 19. 28th Annual Conference of the National Adolescent Perpetration Network, Portland. Miccio-Fonseca, L. C. (2014). Family Lovemap, eroticized children and a constellation of sexually related risk variables. Journal of Forensic Practice, 16(1), 3–17. https://doi.org/10.1108/JFP-03-2013-00198. Miccio-Fonseca, L. C. (2016a). MEGA ♪ cross-validation findings on sexually abusive females: Implications for risk assessment and clinical practice. Journal of Family Violence, 31, 903–911. https://doi.org/10.1007/s10896-016-9845-8. Miccio-Fonseca, L. C. (2016b, May). MEGA♪: Second cross-validation findings on sexually abusive youth. Presentation given at the annual conference of the California coalition on sexual offending (CCOSO), San Diego, CA. To request PowerPoint slides, go to: https://www.mega-miccio-fonseca.com/. Miccio-Fonseca, L. C. (2017a, Fall). Innovative scientific advancement in risk assessment of sexually abusive youth. Perspectives: California Coalition on Sexual Offending (CCOSO), Quarterly Newsletter, 7-10. Miccio-Fonseca, L. C. (2017b, September). Issues in assessment of sexually abusive youth: Intimacy deficits and erotically related protective factors and sexually abusive youth. 22st international conference on violence, abuse, & trauma and the National Summit on Interpersonal Violence & Abuse, San Diego, CA. Miccio-Fonseca, L. C. (2017c). The anomaly among sexually abusive youth: The juvenile sex trafficker. Journal of Aggression, Maltreatment & Trauma, 26(5), 558–572. https://doi.org/10.1080/10926771.2017.1304476. Miccio-Fonseca, L. C. (2017d, September). The anomalies among juvenile sex offenders: Sexually violent & predatory sexually violent. 22st international conference on violence, abuse, & trauma and the National Summit on Interpersonal Violence & Abuse, San Diego, CA. Miccio-Fonseca, L. C. (2017e). The juvenile female sex trafficker. Journal of Aggression and Violent Behavior, 35, 26–32. https://doi.org/10.1016/j.avb.2017.06.001. Miccio-Fonseca, L. C. (2018). Family Lovemap and erotically related protective factors. Special Issue: Risk assessment of sexually abusive youth. Journal of Child Sexual Abuse. Published online 31 Jul. 2018. https://doi.org/10.1080/10538712.2018.1494655. Miccio-Fonseca, L. C. (2019). Family Lovemap, protective factors: Sex, intimacy, and sexually abusive youth. In J. L., Ireland, C. A. Ireland, & Birch, P. (Eds.) Violent and sex offenders handbook (2nd ed., pp. 114–127). Milton Park, Abingdon, Oxon, UK: Routledge. Miccio-Fonseca, L. C., & Rasmussen, L. A. (2009). New nomenclature for sexually abusive youth: Naming and assessing sexually violent and predatory offenders. Journal of Aggression, Maltreatment & Trauma, 18, 106–128. https://doi.org/10.1080/10926770802616431. Miccio-Fonseca, L. C., & Rasmussen, L. A. (2014). MEGA ♪: Empirical support for nomenclature on the anomalies: Sexually violent and predatory youth. International Journal of Offender Therapy and Comparative Criminology, 1–17. Published online 2 May 2014. https://doi.org/10.1177/030624X14533265. Miccio-Fonseca, L. C., & Rasmussen, L. A. (2018). Scientific evolution of clinical and risk assessment of sexually abusive youth: A comprehensive review of empirical tools. Special Issue on risk assessment of sexually abusive youth. Journal of Child Sexual Abuse. https://doi.org/10.1080/10538712.2018.1537337. National Campaign to Prevent Teen and Unplanned Pregnancy. (2008). Sex and tech: Results from a survey of teens and young adults. Retrieved from http://www.thenationalcampaign.org/sextech/pdf/sextech_summary.pdf Oliver, B.E. & Holmes, L. (2015). Female juvenile sexual offenders: Understanding who they are and possible steps that may prevent some grils from offending. Journal of Child Sexual Abuse, 24, 698–715. Polaris Project (2015). National Human Trafficking Resource Center (NHTRC) data breakdown 01/01/2015–12/31/15. Retrieved from http://polarisproject.org/human-trafficking Prentky, R., & Righthand, S. (2003). Juvenile Sex Offender Assessment Protocol-II (J-SOAP-II) Manual. NCJ 202316. Office of Juvenile Justice and Delinquency Prevention, Juvenile Justice Clearinghouse. Retrieved May 14, 2010, from www.csom.org/pugs/JSOAP.pdf Prentky, R., Harris, B., Frizzell, K., & Righthand, S. (2000). An actuarial procedure for assessing risk with juvenile sex offenders. Sexual Abuse: A Journal of Research and Treatment, 12(2), 71–93. https://doi.org/10.1177/107906320001200201. Przybyliski, R. (2015, July). Recidivism of adult sexual offenders. SOMAPI-Research Brief Sex Offender Managemet Assessment and Planning Initiatie. U.S. Department of Justice of Office of Justice Programs Office of Sex Offender Sentencing, Monitoring, Apprehending, Registering and Tracking, Washingston, DC. Ralston, C. A., Epperson, D. L., & Edwards, S. E. (2016). Cross-validation of the JSORRAT–II in Iowa. Sexual Abuse: A Journal of Research and Treatment, 28, 534–554. https://doi.org/10.1177/1079063214548074. Rasmussen, L. A. L. (2017). Comparing predictive validity of JSORRAT-II and MEGA ♪ with sexually abusive youth in long-term residential custody. International Journal of Offender Rehabilitation and Comparative Criminology, 62, 2937–2953. https://doi.org/10.1177/0306624X17726550. Rasmussen, L. A. L. (2018, September). Examining adult recidivism of male adjudicated sexually abusive youth in secure residential care. 23rd international summit on violence, abuse, and trauma across the lifespan, San Diego, CA. Seto, M. C., & Lalumière, M. L. (2010). What is so special about male adolescent sexual offending? A review and test of explanations through meta-analysis. Psychological Bulletin, 136, 526–575. https://doi.org/10.1037/a0019700. van Der Put, C. E., van Vugt, E. S., Stams, G. J. J. M., Devokic, M., & van der Laan, P. H. (2013). Differences in the prevalence and impact of risk factors for general recidivism between different types of juveniles who have committed sexual offenses (JSOs) and juveniles who have committed nonsexual offenses (NSOs). Sexual Abuse: A Journal of Research and Treatment, 25(1), 48–68. https://doi.org/10.1177/1079063212452615. van Wijk, A., Bullens, B. R. F., Maly, R. A. R., & Vermeiren, R. R. (2007). Criminal profiles of violent juvenile sex and violent juvenile non–sex offenders: An explorative longitudinal study. Journal of Interpersonal Violence, 22, 1341–1355. https://doi.org/10.1177/0886260507304802. Viljoen, J. L., Scalora, M., Cuadra, L., Bader, S., Chavez, V., Ullman, D., & Lawrence, L. (2008). Assessing risk for violence in adolescents who have sexually offended: A comparison of the J-SOAP-II, JSORRAT-II, and SAVRY. Criminal Justice and Behavior, 35(1), 5–33. https://doi.org/10.1177/0093854807307521. Viljoen, J. L., Mordell, S., & Beneteau, J. L. (2012). Prediction of adolescent sexual re-offending: A meta-analysis of the J-SOAP-II, ERASOR, J-SORRAT-II, and Static-99. Law and Human Behavior, 36, 423–438. https://doi.org/10.1037/h0093938.