• Title of article

    Risk factor clustering for psychopathology in socially at-risk Spanish children

  • Author/Authors

    Lourdes Ezpeleta، نويسنده , , Roser Granero، نويسنده , , Nu´ria de la Osa، نويسنده , , Josep M. Dome`nech، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2008
  • Pages
    10
  • From page
    559
  • To page
    568
  • Abstract
    Background Data based on general population studies of exposure-to-risk factors is not adequate to describe the mental health of children living in the most extreme ‘‘high-risk’’ environments. Methods Data were collected in a longitudinal prospective study of two cohorts of 9 and 13 year-old socially at-risk children. Cluster analysis was used to classify youths based on the reports about potential areas of risk. The psychopathological structure of empirical clusters was compared through cross-sectional and longitudinal epidemiological indexes and through multiple regression and multivariate analysis of variance. Results Cluster analysis provided eight binary high-low risk classifications. Exposure to risk was highly prevalent. In preadolescence, broken family, parenting style and contextual profiles were the highest risk factors for psychopathology. In adolescence, they were psychological variables, verbal comprehension, pre-peri-postnatal history, physical health and family characteristics. Cumulative risk followed a linear trend for psychopathology and functional impairment. The child’s perception of low marital discord and good school achievement were protective factors. Conclusions Extreme socially atrisk populations have specific profiles of risk that can be identified through a person-centered approach and may be amenable to selective preventive interventions
  • Keywords
    children and adolescents at risk –cumulative risk – epidemiology – longitudinalprospective design – person-centered
  • Journal title
    Social Psychiatry and Psychiatric Epidemiology (SPPE)
  • Serial Year
    2008
  • Journal title
    Social Psychiatry and Psychiatric Epidemiology (SPPE)
  • Record number

    849371