Mental Health, Violence and Health Services Use among Adolescents from a Low-income Urban Community: a longitudinal study

• Grant number: 08/03391-2
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2008
• End date: August 31, 2010
• Field of knowledge: Humanities - Psychology - Human Development Psychology
• Principal Investigator: Cristiane Silvestre de Paula
• Grantee: Daniel Graça Fatori de Sá
• Host Institution: Coordenadoria de Pós-Graduação. Universidade Presbiteriana Mackenzie (UPM). Instituto Presbiteriano Mackenzie. São Paulo , SP, Brazil

Abstract

Objective: (1) to examine the association between risk and protective factors related to CAMHP in a period of five years; (2) to describe the longitudinal course of CAMHP. Method: an epidemiological prospective longitudinal study. Sample: 93 children and adolescents (aged 11-18 years) with mental health problems in 2002/2003 that were reassessed in 2007. Clinical outcome: CAMHP in 2007 according to the raw score of the total problems scale of the Child Behavior Checklist. Risk factors: (1) child/adolescent: age in 2002/2003 and trajectory of being victim of severe physical punishment; (2) mother: trajectory of being victim of physical marital violence, trajectory of maternal mental health problems and years of schooling in 2002/2003; (3) family: socioeconomic status. Protective factors: child/adolescent: social support and pro-social activities in 2007. Control variable: child/adolescent mental health problems in 2002/2003. Instruments: clinical outcome and control variable: Child Behavior Checklist; risk factors: WordSAFE Core Questionnaire (child/adolescent trajectory of being victim of severe physical punishment; maternal trajectory of being victim of physical marital violence); Self-Report Questionnaire (trajectory of maternal mental health problems); Questionnaire of family economical classification (family socioeconomic status); protective factors: Protective factors questionnaire (child/adolescent protective factor data). Statistical analyses: Pearson's correlation and Student's t-test for bivariate analyses and multiple linear regression for multivariate analyses.