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A double logistic comparison of growth patterns of normal children and children with Down's syndrome
Insights
Children with Down syndrome exhibit growth patterns similar in form but different in degree compared to typically developing children. The double logistic model reveals differences are primarily due to final height, not altered growth structure.
Area of Science:
- Pediatric endocrinology
- Human growth and development
- Genetics and developmental disorders
Background:
- Down syndrome is associated with various developmental differences.
- Understanding the specific growth patterns in Down syndrome is crucial for clinical management.
- Previous studies have indicated altered growth trajectories in children with Down syndrome.
Purpose of the Study:
- To compare the growth parameters of children with Down syndrome to a typically developing cohort using a double logistic model.
- To identify if the growth form differs between children with and without Down syndrome.
- To investigate the influence of final height on observed growth differences.
Main Methods:
- A double logistic model was applied to standing height data.
- Growth parameters of 31 children with Down syndrome were compared to 136 children from the California Guidance Study.
- Multivariate analysis of variance (MANOVA) and analysis with final height as a covariate were employed.
Main Results:
- Significant differences were found in six growth parameters, favoring typically developing children.
- No significant differences in the error of fit were observed between the two groups.
- Differences in prepubertal and adolescent growth components were explained by variations in final height.
Conclusions:
- The double logistic model identified that children with Down syndrome share the same fundamental growth components as typically developing children.
- Growth differences between the groups are quantitative (degree) rather than qualitative (form).
- Final height is a key factor influencing the observed differences in growth patterns.
Abstract:
A double logistic model was used to compare six parameters of growth in standing height of 31 children with Down's syndrome with 136 children from the California Guidance Study. Multivariate analysis of variance of the growth data showed that while there were significant differences in all six parameters favouring the normal over the Down's children, there were no significant differences with respect to error of fit. Multivariate analysis with final height as a covariate revealed that differences between the normal and the Down's children in the prepubertal and adolescent components were explainable by differences in final height. In summary, the double logistic model, when applied to this sample of Down's children, identified those well defined logistic components which are characteristic of the growth of normal children, the differences being those of degree, not of form.