Predicting the timing of maturational spurts in skeletal age

Ramzi W Nahhas1, Richard J Sherwood, Wm Cameron Chumlea

  • 1Division of Morphological Sciences and Biostatistics, Lifespan Health Research Center, Department of Community Health, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA. ramzi.nahhas@wright.edu

Insights

Predicting childhood skeletal maturation is key for understanding growth delays. This study developed a model using longitudinal data to forecast maturational spurts and catch-up growth potential.

Area of Science:

  • Pediatrics
  • Human Growth and Development
  • Skeletal Biology

Background:

  • Childhood maturation tempo influences growth trajectories.
  • Delayed skeletal maturation can lead to short stature and indicate underlying health issues.
  • Predicting maturational spurts is crucial for assessing catch-up growth potential.

Purpose of the Study:

  • To predict future skeletal age based on current skeletal age.
  • To forecast the timing of maturational spurts in children.
  • To evaluate the likelihood of catch-up maturation in delayed children.

Main Methods:

  • Utilized serial data from the Fels Longitudinal Study.
  • Developed a prediction model for skeletal age and maturational spurt timing.
  • Analyzed catch-up growth probabilities relative to chronological age peers.

Main Results:

  • Catch-up maturation likelihood increased through puberty onset for delayed children.
  • For boys, lower maturity correlated with higher spurt probability.
  • Girls aged 11-13 showed higher spurt probability with greater maturity, suggesting maturation plateaus.

Conclusions:

  • The developed prediction model aids in understanding childhood maturation tempo.
  • The model is most applicable to children of European ancestry in the Midwestern US.
  • Caution is advised when applying the model to populations with different environmental stressors.

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