Abstract
This study aimed to classify individuals who had perpetrated child sexual abuse according to the Federal Bureau of Investigation (FBI) typologies of child molesters and to assess the correlations between sociodemographic and criminal variables. We examined a total of 26 patients diagnosed with pedophilia (DSM-Ⅳ-TR criteria) who had been hospitalized in the National Forensic Hospital for Cure Custody. Data were obtained through self-administered questionnaires and reviews of patient records. Patients were classified into preferential offenders or situational offenders based on FBI typologies. Current and first offense ages of preferential offenders were younger than those of situational offenders. Preferential offenders were more likely to have been exposed to sexual abuse during childhood, and were more likely to watch child pornography than situational offenders (p < 0.05). Additionally, recidivists had lower IQs (intelligence quotient), lower levels of education, and longer illness durations than first-time offenders (p < 0.05). A multiple logistic regression analysis revealed that IQ and duration of illness might be risk factors of recidivism, although results were not statistically significant (p < 0.1). We found that classification of individuals who had sexually abused children into preferential or situational types, based on FBI typologies, provided on pedophile characteristics and probability of recidivism. We highly recommended that low IQ patients receive intensive treatment and education in order to reduce the possibility of future offenses.
REFERENCES
1. The statistics of National Policy Agency, Seoul (2011). Available at. http://www.police.go.kr/portal/main/con-tents.do?menuNo=200284.
2. Act on the protection of children and juveniles from sexual abuse. Ministry of legislation, Seoul (2013). Available at. http://www.law.go.kr/main.html.
3. Hall RC, Hall RC. A profile of pedophilia: definition, characteristics of offenders, recidivism, treatment outcomes, and forensic issues. Mayo Clin Proc. 2007; 82:457–71.
4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition Revised (DSM-Ⅳ). Washington, DC: American Psychiatric Association;1994.
5. Robertiello G, Terry KJ. Can we profile sex offenders? A review of sex offender typologies. Aggress Violent Behav. 2007; 12:508–18.
6. Groth AN. Men who rape: the psychology of the offender. New York: Plenum Press;1979. .p.p. 148–9.
7. Terry KJ, Tallon J. Child sexual abuse: a review of the literature. The Nature and Scope of the Problem of Sexual Abuse of Minors by Priests and Deacons, 1950-2002 Washington, D.C.: United States Conference of Catholic Bishops. 2004. 26–7.
8. Henn FA, Herjanic M, Vanderpearl RH. Forensic psychiatry: profiles of two types of sex offenders. Am J Psychiatry. 1976; 133:694–6.
9. Lee SJ, Ko RJ. Comparison between pedophiliac sex offenders, incest sex offenders and rapists: focusing on demographic and criminogenic variables. J Korean Psychology. 2008; 27:161–78.
10. Lee JH, Kim HS, Lee JW, et al. Psychiatric diagnosis and hypersexual behavior inventory, sexual addiction screening test, and Beck depression inventory/Beck anxiety inventory of the sexual offenders. Korean J Leg Med. 2013; 37:27–33.
11. Shin KB, Lee Y, Kim KR, et al. Psychiatric and psychological characteristics of sexual offenders in Korea. J Korean Neuropsychiatr Assoc. 2012; 51:170–7.
12. Abel GG, Harlow N. The Abel and Harlow child molestation prevention study. Excerpted from The Stop Child Molestation Book. Philadelphia, Pa: Xlibris;2001. Available at:. www.childmolestationprevention.org/pdfs/study.pdf. Accessed February 19, 2007.
13. Murray JB. Psychological profile of pedophiles and child molesters. J Psychol. 2000; 134:211–24.
14. Cohen LJ, Galynker II. Clinical features of pedophilia and implications for treatment. J Psychiatr Pract. 2002; 8:276–89.
15. Blanchard R, Watson MS, Choy A, et al. Pedophiles: mental retardation, maternal age, and sexual orientation. Arch Sex Behav. 1999; 28:111–27.
16. Fuller AK. Child molestation and pedophilia: an overview for the physician. JAMA. 1989; 261:602–6.
17. Beier KM. Differential typology and prognosis for dissexu-al behavior-a followup study of previously expert-appraised child molesters. Int J Legal Med. 1998; 111:133–41.
18. Blanchard R, Kolla NJ, Cantor JM, et al. IQ, handedness, and pedophilia in adult male patients stratified by referral source. Sex Abuse. 2007; 19:285–309.
19. Cohen LJ, Nikiforov K, Gans S, et al. Heterosexual male perpetrators of childhood sexual abuse: a preliminary neuropsychiatric model. Psychiatr Q. 2002; 73:313–36.
20. Glasser M, Kolvij kn I, Campbell D, et al. Cycle of child sexual abuse: links between being a victim and becoming a perpetrator. Br J Psychiatry. 2001; 179:482–94.
Table 1.
Factors | Variables | N (%) | Range |
---|---|---|---|
Sociodemographic | Age (years, mean ± SD∗) | 41.58 ± 13.08 | 25-81 |
Education (years, mean ± SD) | 09.81 ± 3.95 | 00-16 | |
IQ† (mean ± SD) | 98.88 ± 16.51 | 73-131 | |
Martial status | |||
Married | 10 (38.4) | ||
Unmarried | 13 (50.0) | ||
Divorced | 03 (11.6) | ||
Employment status | |||
Employed | 22 (84.6) | ||
Unemployed | 04 (15.4) | ||
Criminal | Age at 1st crime (years, mean ± SD) | 31.62 ± 14.15 | 13-75 |
Duration of illness (years, mean ± SD) | 08.23 ± 8.49 | 00-35 | |
Total imprisoned number (mean ± SD) | 01.85 ± 1.31 | 01-5 | |
Severity of crime | |||
Sexual molestation (not rape) | 13 (50.0) | ||
Rape | 13 (50.0) |
Table 2.
Table 3-1.
Preferential (n=15, %) | Situational (n=11, %) | t-score | p-value | |
---|---|---|---|---|
Mean (SD) | Mean (SD) | |||
Age (years) | 34.60 (9.44) | 51.09 (11.42) | -4.028 | .000 |
Age at 1st crime (years) | 24.80 (9.08) | 40.91 (14.84) | -3.430 | .002 |
Duration of illness (years) | 8.00 (5.85) | 8.55 (11.50) | -0.159 | .875 |
Total imprisoned number | 1.93 (1.28) | 1.73 (1.42) | 0.387 | .702 |
IQ∗ | 94.73 (17.62) | 104.55 (13.61) | -1.537 | .137 |
Education (years) | 11.07 (3.78) | 8.09 (3.64) | 2.010 | .056 |
Sexually abused history during childhood | 6 (23.0) | 0 (0.0) | ||
Seperated history from parents before age 1 | 16 3 (11.5) | 4 (15.3) | ||
Watching the child pornography over once | a week 10 (38.4) | 1 (3.8) |
Table 3-2.
First-time offenders (n=16, %) | Recidivists (n=10, %) | t-score | p-value | |
---|---|---|---|---|
Mean (SD) | Mean (SD) | |||
Age (years) | 39.94 (10.76) | 44.20 (16.43) | -0.803 | .430 |
Age at 1st crime (years) | 33.06 (11.98) | 29.30 (17.53) | 0.652 | .521 |
Duration of illness (years) | 5.25 (6.38) | 13.00 (9.56) | -2.486 | .020 |
Total imprisoned number | 1.00 (0.00) | 3.20 (1.22) | 0.000 | .000 |
IQ∗ | 104.88 (16.72) | 89.30 (11.17) | 2.595 | .016 |
Education (years) | 11.25 (2.97) | 7.50 (4.35) | 2.616 | .015 |
Sexually abused history during childhood | 3 (11.5) | 3 (11.5) | ||
Seperated history from parents before age 16 | 6 (23.0) | 1 (3.8) | ||
Watching the child pornography over once a week | 6 (23.0) | 5 (19.2) |
Table 4.
Odds ratio | 95% confidence interval | p-value | ||
---|---|---|---|---|
lower limit | upper limit | |||
Duration of illness (years) | 1.184 | 0.971 | 1.443 | 0.096 |
IQ∗ | 0.914 | 0.821 | 1.017 | 0.098 |
Education(years) | 0.801 | 0.587 | 1.095 | 0.164 |