3 resultados para Childhood abuse

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Sexual abuse leads to physical harm and devastating psychosocial consequences. It increases risk of HIV transmission and is associated with risky behaviour. Little is known about sexual abuse victimisation (SAV) and perpetration (SAP) among HIV-positive men who have sex with women (MSW). We investigated self-reported SAV and SAP among 242 Brazilian MSW selected at HIV care centres. Patients were questioned about sociodemographic data, mode of HIV acquisition, sexual practices, drug use and history of SAV or SAP. Prevalence of outcomes was estimated and risk factors for SAP investigated by logistic regression. Fifty-eight (24.1%) interviewees reported SAV. Of patients abused before 15 years of age, 64.3% reported events before the age of ten. Aggressors included relatives, friends and teachers. Among those victimised after 15 years old, 57.7% described events before 17 and 38.5% had acquainted aggressors. Fourteen (5.8%) interviewees reported SAP and most knew their victims. Sexual abuse perpetration was associated with lower schooling, marital status, illicit drug use and self-reported SAV. Sexual abuse was frequently reported by MSW from this cohort. Identifying predictors of violence and addressing SAV and SAP in comprehensive HIV care may help reduce violent behaviour, psychological distress and contribute to maximise benefits of preventive and care interventions.

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Objective: We sought to determine whether a reported history of childhood adversity is associated with components of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP-III)-defined metabolic syndrome in adults with mood disorders. Method: This was a cross-sectional analysis of adult outpatients (N = 373; n = 230 female, n = 143 male; mean age [SD] = 42.86 [14.43]) from the International Mood Disorders Collaborative Project (University of Toronto and Cleveland Clinic) with DSM-IV-defined major depressive disorder and bipolar I/II disorder. Childhood adversity was measured with the Klein Trauma & Abuse-Neglect self-report scale. The groups with and without childhood adversity were compared to determine possible differences in the rates of metabolic syndrome and its components. Logistic and linear regressions adjusted for age, sex, education, employment status, and smoking were used to evaluate the association between childhood adversity and components of metabolic syndrome. Results: For the full sample, 83 subjects (22.25%) met criteria for metabolic syndrome. Individuals reporting a history of any childhood adversity had higher systolic and diastolic blood pressure (systolic: p = 0.040; diastolic: p = 0.038). Among subjects with a history of sexual abuse, a significant proportion met criteria for obesity (45.28% vs. 32.88%; p = 0.010); a trend toward overweight was found for subjects with a history of physical abuse (76.32% vs. 63.33%; p = 0.074), although this relationship did not remain significant after adjusting for potential confounders. There was no statistically significant difference in the overall rate of dyslipidemia and/or metabolic syndrome between subjects with and without childhood adversity. Conclusion: The results herein provide preliminary evidence suggesting that childhood adversity is associated with metabolic syndrome components in individuals with mood disorders. Int'l. J. Psychiatry in Medicine 2012;43:165-177)

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Background Longitudinal epidemiological studies involving child/adolescent mental health problems are scarce in developing countries, particularly in regions characterized by adverse living conditions. We examined the influence of psychosocial factors on the trajectory of child/adolescent mental health problems (CAMHP) over time. Methods A population-based sample of 6- to 13-year-olds with CAMHP was followed-up from 2002–2003 (Time 1/T1) to 2007–2008 (Time 2/T2), with 86 out of 124 eligible children/adolescents at T1 being reassessed at T2 (sample loss: 30.6%). Outcome: CAMHP at T2 according to the Child Behavior Checklist/CBCL’s total problem scale. Psychosocial factors: T1 variables (child/adolescent’s age, family socioeconomic status); trajectory of variables from T1 to T2 (child/adolescent exposure to severe physical punishment, mother exposure to severe physical marital violence, maternal anxiety/depression); and T2 variables (maternal education, child/adolescent’s social support and pro-social activities). Results Multivariate analysis identified two risk factors for child/adolescent MHP at T2: aggravation of child/adolescent physical punishment and aggravation of maternal anxiety/depression. Conclusions The current study shows the importance of considering child/adolescent physical punishment and maternal anxiety/depression in intervention models and mental health care policies.