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1.
Psychiatry Res ; 229(1-2): 82-8, 2015 Sep 30.
Article in English | MEDLINE | ID: mdl-26233829

ABSTRACT

In recent years, there has been an increasing interest in juvenile sex offenders showing that this population is highly heterogeneous. The aim of the present study was to identify possible different profiles that could help understand the motivation behind offending, comparing 31 Juvenile Sexual Offenders (JSOs), 31 Juvenile Sexual Non Offenders (JSNOs) and 31 Juvenile Non Offenders (Control Group). A data collection form, the Minnesota Multiphasic Personality Inventory-Adolescent (MMPI-A) or Minnesota Multiphasic Personality Inventory-2 (MMPI-2), the Coping Inventory for Stressful Situations (CISS) and the Parental Bonding Inventory (PBI) were administered to all participants. The results show that JSOs differs from JNSOs in some domains, such as living in single-parent homes, while maintain some common aspects such as academic failure and previous sexual intercourse. Moreover, JNSOs showed more abnormal personality traits, such as Authority Problems, MacAndrew Alcoholism, Acknowledgement and Alcohol-Drug Problem Proneness compared to JSOs and the Control Group, while JSOs and JNSOs use a coping strategy more oriented to Avoidance and Distraction compared to the Control group. Finally, JSOs described the relationships with fathers characterized by higher care and protection than JNSOs. These findings provide additional evidence with respect the prevention and treatment of criminal sexual behavior in adolescent.


Subject(s)
Adaptation, Psychological , Criminals/psychology , Juvenile Delinquency/psychology , Parenting/psychology , Personality , Sex Offenses/psychology , Adolescent , Humans , MMPI , Male , Parent-Child Relations , Young Adult
2.
Int J Psychiatry Med ; 45(3): 203-26, 2013.
Article in English | MEDLINE | ID: mdl-24066405

ABSTRACT

OBJECTIVES: The existence of specific features of Metabolic Syndrome (MetS) in psychiatric population in comparison to not psychiatric patients has not been systematically investigated. The purpose of this study is to evaluate the differences of MetS among a group of psychiatric patients and a group of internal medicine patients in terms of anthropometric measurements, biochemical variables, and cardiovascular risk. METHODS: We enrolled 83 psychiatric inpatients under pharmacological treatment (schizophrenia n = 24, bipolar disorder n = 27, major depression n = 14, other n = 18) and 77 internal medicine patients visited for supposed MetS as affected by overweight or arterial hypertension. RESULTS: Psychiatric patients differed from control subjects by age (yrs) (47 +/- 9 vs. 52 +/- 8.6, p = 0.001), waist circumference (cm) (111.9 +/- 10.9 vs. 106 +/- 12.6, p = 0.02), HDL cholesterol (mg/dl) (36.8 +/- 7 vs. 48 +/- 11.3, p = 0.001), serum insulin (microU/ml) (26 +/- 12.5 vs. 16.4 +/- 8.8, p = 0.001), triglyceride/HDL cholesterol ratio (4.8 +/- 2.7 vs. 3.3 +/- 2.2, p = 0.01). Female psychiatric patients had higher levels of triglycerides (mg) (178 + 86 vs. 115 + 53, p = 0.002) and of HOMA index (7.8 + 5 vs. 3.8 + 3.3, p = 0.005). Triglycerides and triglycerides/HDL ratio levels were higher in Unipolar Depression. A positive association was found between antidepressant drug treatment with triglycerides and triglycerides/HDL ratio levels, neuroleptic treatment with the HOMA index, and antipsychotics drugs with the Framingham index. LIMITATIONS: Psychiatric study population numerosity and duration of psychiatric illness and drug treatment. CONCLUSIONS: Specific features of MetS in psychiatric population are mainly represented by young age of onset, hyperinsulinemia, increased abdominal adiposity, and low HDL cholesterol whose common denominator may be insulin-resistance.


Subject(s)
Hyperinsulinism/physiopathology , Hypertension/physiopathology , Mental Disorders/physiopathology , Metabolic Syndrome/physiopathology , Overweight/physiopathology , Adiposity/physiology , Adult , Age of Onset , Antidepressive Agents/pharmacology , Antipsychotic Agents/pharmacology , Bipolar Disorder/drug therapy , Bipolar Disorder/epidemiology , Bipolar Disorder/physiopathology , Body Mass Index , Cholesterol, HDL/blood , Comorbidity , Depressive Disorder, Major/drug therapy , Depressive Disorder, Major/epidemiology , Depressive Disorder, Major/physiopathology , Female , Humans , Hypertension/epidemiology , Insulin/blood , Insulin Resistance/physiology , Lipoproteins, HDL/blood , Male , Mental Disorders/drug therapy , Mental Disorders/epidemiology , Metabolic Syndrome/epidemiology , Middle Aged , Overweight/epidemiology , Schizophrenia/drug therapy , Schizophrenia/epidemiology , Schizophrenia/physiopathology , Sex Factors , Triglycerides/blood , Waist Circumference/physiology
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