Risk and injury severity of obese child passengers in motor vehicle crashes

Jong-Eun Kim1, Min-Heng Hsieh, Phillip C Shum

  • 1Department of Mechanical Engineering, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Insights

Obese children face higher risks of head and chest injuries in car crashes. Increased body mass leads to greater head and torso movement, elevating injury severity in frontal motor vehicle collisions.

Area of Science:

  • Biomechanical Engineering
  • Pediatric Safety
  • Computational Modeling

Background:

  • Obesity prevalence is increasing globally, including among children.
  • Limited data exists on the specific injury risks for obese children in motor vehicle crashes (MVCs).
  • Existing crash test dummies do not adequately represent obese pediatric anthropometry.

Purpose of the Study:

  • To assess the risk and severity of head, neck, and chest injuries in obese children during frontal MVCs.
  • To establish injury risk correlations with body mass index (BMI) in pediatric occupants.
  • To utilize advanced computational modeling for simulating crash scenarios involving obese children.

Main Methods:

  • Developed computational models of obese children using medical imaging and advanced modeling techniques.
  • Employed a hybrid modeling approach integrating finite element and multibody models.
  • Simulated various frontal crash scenarios to evaluate injury severity across different obesity levels for 3- and 6-year-old age groups.

Main Results:

  • Increased body mass index (BMI) correlated with higher head injury criterion and chest acceleration.
  • Forward head and torso excursions increased with rising obesity levels due to greater body mass momentum.
  • No significant correlation was found between BMI and neck injury or chest deformation.

Conclusions:

  • Obese children exhibit a heightened risk for head and chest injuries in frontal MVCs compared to non-obese children.
  • Greater body excursion and subsequent higher accelerations contribute to increased injury risk in obese pediatric occupants.
  • Computational modeling provides a viable method for investigating pediatric occupant safety in the absence of physical surrogates.
Abstract

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