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Development of a predictive risk model for school readiness at age 3 years using the UK Millennium Cohort Study
Christine Camacho1, Viviane S Straatmann1,2, Jennie C Day1
1Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
Insights
Predicting school readiness at age three is possible using perinatal and infant data. Key predictors include socioeconomic factors, maternal education, and infant development, offering insights for early intervention strategies.
Area of Science:
- Developmental Psychology
- Public Health
- Pediatrics
Background:
- Early childhood development is crucial for lifelong outcomes.
- Identifying predictors of school readiness can inform early intervention programs.
- Existing models may not fully capture the complexity of factors influencing school readiness.
Purpose of the Study:
- To develop a predictive risk model (PRM) for school readiness at age 3 years.
- To utilize perinatal and early infancy data for prediction.
- To identify key risk factors for school readiness.
Main Methods:
- Development of a PRM using data from the UK Millennium Cohort Study.
- Predictors identified from data collected at 9 months of age.
- School readiness assessed at age 3 using the Bracken School Readiness Assessment.
- Stepwise selection and dominance analysis used to create two models.
- Model comparison via Area Under the Receiver Operating Characteristic Curve (AUROC) and Integrated Discrimination Improvement (IDI).
Main Results:
- A dataset of 9487 complete cases was analyzed.
- 11.7% of children were not school ready at age 3.
- Key predictors identified include socioeconomic status, maternal education, child's ethnicity, sex, and infant developmental milestones.
- Model 1 achieved an AUROC of 0.80, and a parsimonious Model 2 achieved 0.78.
- Social determinants were identified as strong predictors of school readiness.
Conclusions:
- Perinatal and infant risk factors effectively predict school readiness at age three.
- A model with six key attributes identified around birth demonstrates predictive capability.
- The findings highlight the importance of social determinants in early childhood development and school readiness.
Objectives:
The aim of this study is to develop a predictive risk model (PRM) for school readiness measured at age 3 years using perinatal and early infancy data.
Design And Participants:
This paper describes the development of a PRM. Predictors were identified from the UK Millennium Cohort Study wave 1 data, collected when participants were 9 months old. The outcome was school readiness at age 3 years, measured by the Bracken School Readiness Assessment. Stepwise selection and dominance analysis were used to specify two models. The models were compared by the area under the receiver operating characteristic curve (AUROC) and integrated discrimination improvement (IDI).
Results:
Data were available for 9487 complete cases. At age 3, 11.7% (95% CI 11.0% to 12.3%) of children were not school ready. The variables identified were: parents' Socio-Economic Classification, child's ethnicity, maternal education, income band, sex, household number of children, mother's age, low birth weight, mother's mental health, infant developmental milestones, breastfeeding, parents' employment, housing type. A parsimonious model included the first six listed variables (model 2). The AUROC for model 1 was 0.80 (95% CI 0.78 to 0.81) and 0.78 (95% CI 0.77 to 0.79) for model 2. Model 1 resulted in a small improvement in discrimination (IDI=1.3%, p<0.001).
Conclusions:
Perinatal and infant risk factors predicted school readiness at age three with good discrimination. Social determinants were strong predictors of school readiness. This study demonstrates that school readiness can be predicted by six attributes collected around the time of birth.
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