The Influence of Social Disadvantage on Children's Emotional and Behavioral Difficulties at Age 4-7 Years.

OBJECTIVE: To examine associations between indicators of social disadvantage and emotional and behavioral difficulties in children aged 4-7 years. STUDY DESIGN: This cross-sectional study was based on data collected in a questionnaire completed by parents of children enrolled in their first year of school in Victoria, Australia, in 2010. Just over 57000 children participated (86% of children enrolled), of whom complete data were available for 38955 (68% of the dataset); these children formed the analysis sample. The outcome measure was emotional and behavioral difficulties, assessed by the Strengths and Difficulties Questionnaire Total Difficulties score. Logistic regression analyses were undertaken. RESULTS: Having a concession card (a government-issued card enabling access to subsidized goods and services, particularly in relation to medical care, primarily for economically vulnerable households) was the strongest predictor of emotional and behavioral difficulties (OR, 2.71; 95% CI, 2.39-3.07), followed by living with 1 parent and the parent's partner or not living with either parent (OR, 1.93; 95% CI, 1.58-2.37) and having a mother who did not complete high school (OR, 1.27; 95% CI, 1.11-1.45). CONCLUSION: These findings may assist schools and early childhood practitioners in identifying young children who are at increased risk of emotional and behavioral difficulties, to provide these children, together with their parents and families, with support from appropriate preventive interventions.

Normative data for the Strengths and Difficulties Questionnaire for young children in Australia.

AIM: The aim of this study was to report normative data for the parent-reported Strengths and Difficulties Questionnaire (SDQ) from a large population cohort of young children aged 4-6 years from Victoria, Australia, to establish age- and sex-specific cut-off values for future use, and to determine the scale reliability of the SDQ for children aged 4-6 years. METHODS: Parents of children (n = 53 372) entering their first year of school in Victoria in 2010 completed a survey via a 15-page School Entrant Health Questionnaire reporting on the physical and emotional well-being of their child (including the SDQ), use of child health and other support services, and a range of socio-demographic variables. Reliability was assessed and norms generated. Appropriate cut-off values for each SDQ scale and total difficulties scale were generated for each age group separately for each sex. RESULTS: The five scales of the SDQ and total difficulties scale generally had acceptable internal reliability. Mean SDQ scale scores differed for both sex and age, although only a narrow age range is examined in this study. Cut-off values were marginally higher for girls (lower for prosocial) and generally increased with age. CONCLUSIONS: This study has utilised a large Australian population sample of children to generate age- and sex-specific cut-off values that define SDQ scores as 'normal', 'borderline' or 'abnormal' for Australian children aged 4-6 years.

Examining statewide capacity for school health and mental health promotion: a post hoc application of a district capacity-building framework.

Schools must possess a variety of capacities to effectively support comprehensive and coordinated school health promotion activities, and researchers have developed a district-level capacity-building framework specific to school health promotion. State-level school health coalitions often support such capacity-building efforts and should embed this work within a data-based, decision-making model. However, there is a lack of guidance for state school health coalitions on how they should collect and use data. This article uses a district-level capacity-building framework to interpret findings from a statewide coordinated school health needs/resource assessment in order to examine statewide capacity for school health promotion. Participants included school personnel (N = 643) from one state. Descriptive statistics were calculated for survey items, with further examination of subgroup differences among school administrators and nurses. Results were then interpreted via a post hoc application of a district-level capacity-building framework. Findings across districts revealed statewide strengths and gaps with regard to leadership and management capacities, internal and external supports, and an indicator of global capacity. Findings support the utility of using a common framework across local and state levels to align efforts and embed capacity-building activities within a data-driven, continuous improvement model.