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.
Child Abuse, Sexual ; Child* ; Classification ; Criminals ; Education ; Erotica ; Humans ; Logistic Models ; Pedophilia* ; Risk Factors ; Sex Offenses ; Surveys and Questionnaires

Forty patients (20 male and 20 female) diagnosed with bipolar disorder voluntarily participated in this study. For each patient, questionnaire and computerized objective data, obtained from involved doctors, nurses, psychologists, prosecutors, and the hospital information system, were collected after receiving the patients'written consent. When a patient's answers diverged greatly from computerized data (i.e., onset age, history of criminal prosecution and re-hospitalization), computerized data were given priority. Immediately after the authors collected the questionnaires, any personal identifying information was replaced by random numbers to prevent bias and protect privacy. Statistical analysis was performed using SPSS version 20.0 for MS Windows. Comparative items on questionnaires were evaluated by paired t test and chi square test. Male patients were found to have a higher recidivism rate than female patients (P<0.05). Female patients reported more trauma history (P<0.05), bipolar type II diagnoses (P<0.05), and suicide attempts (P<0.01) than male patients. There was no statistically significant difference between male and female patients for Intelligence Quotient (IQ) or for 13 of the Minnesota Multiphasic Personality Inventory (MMPI) subscales.
Age of Onset ; Bias (Epidemiology) ; Bipolar Disorder ; Criminals ; Diagnosis ; Female ; Hospital Information Systems ; Hospitals, Psychiatric* ; Humans ; Intelligence ; Male ; MMPI ; Privacy ; Psychology ; Suicide

In this study, we analyzed the quantitative electroencephalograms (EEGs) of forty-eight subjects (18 with methamphetamine dependence and 30 non-methamphetamine users as controls). Immediately following data collection, all personally identifying information was replaced with random numbers to prevent bias and protect privacy. Statistical analysis was performed using SPSS version 20.0 for MS Windows. To investigate the general characteristics of the demographic background of the study subjects, frequency and technical analyses were conducted. Mann-Whitney U tests were performed to determine the difference in quantitative EEGs between methamphetamine users and non-methamphetamine users. Methamphetamine users demonstrated quantitative EEG abnormalities that were consistent with generalized encephalopathy.
Bias (Epidemiology) ; Brain Diseases ; Case-Control Studies* ; Data Collection ; Electroencephalography* ; Forensic Medicine ; Humans ; Methamphetamine* ; Privacy

Forty six patients (23 in-family and 23 out-family child sexual offenders) diagnosed with pedophilia participated in this study. For each patient, computerized objective data, obtained from the doctors, nurses, psychologists, and prosecutors involved, and the hospital information system, were collected. Immediately after the authors collected data that included any personal identifying information, it was replaced by random numbers to prevent bias and to protect privacy. Statistical analysis was performed using SPSS version 20.0 for MS Windows. Comparative items on demographic characteristics were evaluated by a paired t test and chi-square test. Out-family child sexual offenders were younger, assaulted younger victims, and possessed a higher sexual recidivism rate than in-family sexual offenders did (P<0.05). The four scales of Minnesota Multiphasic Personality Inventory showed a significant difference between in-family and out-family child sexual offenders. There was no statistically significant difference in the victim's gender and the incidence of comorbid psychiatric disease between in-family and out-family child sexual offenders.
Bias (Epidemiology) ; Child* ; Criminals* ; Forensic Medicine ; Hospital Information Systems ; Humans ; Incidence ; MMPI* ; Pedophilia* ; Privacy ; Psychology ; Sex Offenses ; Weights and Measures