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Published on: December 2, 2015
Socioeconomic risk factors for mental health problems in 4-5-year-old children: Australian population study
Elise Davis1, Michael G Sawyer, Sing Kai Lo
1McCaughey Centre, University of Melbourne, Australia. eda@unimelb.edu.au
Insights
Socioeconomic status (SES) indicators like income and education are linked to young children's mental health problems. Parental education and income showed the strongest associations, highlighting their importance for policy.
Area of Science:
- Child development
- Public health
- Socioeconomic determinants of health
Background:
- Socioeconomic status (SES) is a significant factor influencing child development and mental well-being.
- Understanding the specific SES indicators most impactful on early childhood mental health is crucial for targeted interventions.
- Previous research indicates a link between SES and child mental health, but nuanced associations require further investigation.
Purpose of the Study:
- To investigate the relationship between various socioeconomic status (SES) indicators and child mental health problems.
- To determine the extent to which parent- and teacher-reported mental health issues in preschoolers vary by SES.
- To identify which SES indicators have the strongest predictive power for child mental health problems.
Main Methods:
- Utilized data from the Longitudinal Study of Australian Children (LSAC) involving 4-5-year-old children.
- Employed parent (N=4968) and teacher (N=3245) reports using the Strengths and Difficulties Questionnaire (SDQ).
- Analyzed parent-reported SES indicators (income, education, employment, family composition) using logistic regression models.
Main Results:
- All examined SES indicators were independently associated with parent-reported child mental health problems.
- Low family income and lower parental education demonstrated stronger associations with mental health issues than sole parenthood or unemployment.
- Behavioral problems in children were more strongly linked to social disadvantage compared to emotional problems.
Conclusions:
- Diverse measures of SES, especially family income and parental education, are essential when studying young children's mental health.
- The significant association between mental health problems and parental education/income suggests policy implications related to investments in parents' own development.
- Findings underscore the importance of addressing socioeconomic factors in early childhood mental health research and policy.
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.
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