Socioeconomic risk factors for mental health problems in 4--5-year-old children: Australian population study.

Objective.-To describe the extent to which parent- and teacher- reported child mental health problems vary by different indicators of socioeconomic status. Methods.-Participants were 4-5-year-old children in the Longitudinal Study of Australian Children (LSAC). Parents (N = 4968) and teacher (N = 32...

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Publicado en:Academic Pediatrics Vol. 10; no. 1; pp. 41 - 48
Autores principales: Davis E, Sawyer MG, Lo SK, Priest N, Wake M
Formato: research tables/charts Journal Article
Publicado: Elsevier B.V. Jan/Feb2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan/Feb2010
      vid: 10
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      pub: Elsevier B.V.
      place: New York, New York
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        10.1016/j.acap.2009.08.007
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        atl: Socioeconomic risk factors for mental health problems in 4--5-year-old children: Australian population study.
      aug:
        au:
          Davis E
          Sawyer MG
          Lo SK
          Priest N
          Wake M
        affil: McCaughey Centre, VicHealth Centre for the Promotion of Mental Health and Community Wellbeing, School of Population Health, Level 5, 207 Bouverie St, University of Melbourne, Victoria 3010, Australia; eda@unimelb.edu.au
      sug:
        subj:
          Mental Health In Infancy and Childhood
          Psychopathology
          Socioeconomic Factors
          Australia
          Chi Square Test
          Child, Preschool
          Data Analysis Software
          Demography
          Funding Source
          Human
          Child, Preschool: 2-5 years
      ab: Objective.-To describe the extent to which parent- and teacher- reported child mental health problems vary by different indicators of socioeconomic status. Methods.-Participants were 4-5-year-old children in the Longitudinal Study of Australian Children (LSAC). Parents (N = 4968) and teacher (N = 3245) completed the 3-4-year-old version of Strengths and Difficulties Questionnaire (SDQ). Parents also reported the socioeconomic indicators of income, education, employment, and family composition (1- vs 2-parent families). Logistic regression models were used to predict SDQ total difficulties and each of the 4 SDQ subscales problems, as reported by parents and by teacher, and considered all putative socioeconomic status (SES) predictor variables simultaneously. Results.-The proportions of children scoring in the abnormal range varied according to SES indicator and mental health subscale. All of the SES indicators independently predicted parent-reported child mental health problems, although odds ratios were generally small to moderate (1.2 to 2.4), and not all reached statistical significance. Low income and parent education showed larger associations than sole parenthood or unemployment. The pattern for teachers was similar, though less consistent. Behavioral problems showed stronger associations with social disadvantage than emotional problems. Conclusions.-Research examining pathways to young children's mental health should include diverse measures of SES, particularly of family income and education. The fact that mental health problems were most strongly associated with parent education and income should be of interest to policy makers because education and income reflect investments in the lives of our participants' parents during their own childhood and adolescence.
      pubtype: Academic Journal
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        research
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      ougenre: Article
    language: English
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