Davidson Peter L, Chalmers David J, Wilson Barry D
Injury Prevention Research Unit, Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, P.O. Box 913, Dunedin, New Zealand.
Comput Methods Biomech Biomed Engin. 2004 Apr;7(2):63-71. doi: 10.1080/1025584042000206461.
The aim of this study was to develop and pilot a stochastic-rheological biomechanical model to investigate the mechanics of impact fractures in the upper limbs of children who fall in everyday situations, such as when playing on playground equipment. The rheological aspect of the model characterises musculo-skeletal tissues in terms of inertial, elastic and viscous parameters. The stochastic aspect of the model allows natural variation of children's musculo-skeletal mechanical properties to be accounted for in the analysis. The relationship of risk factors, such as fall height, impact surface, child mass and bone density, to the probability of sustaining an injury in playground equipment falls were examined and found to closely match findings in epidemiological, clinical and biomechanical literature. These results suggest that the stochastic-rheological model is a useful tool for the evaluation of arm fracture risk in children. Once fully developed, information from this model will provide the basis for recommendations for modifications to playground equipment and surface standards.
本研究的目的是开发并试行一种随机流变生物力学模型,以研究儿童在日常情况下(如在游乐场设备上玩耍时)摔倒导致上肢冲击性骨折的力学机制。该模型的流变学方面根据惯性、弹性和粘性参数对肌肉骨骼组织进行了表征。该模型的随机性方面使得在分析中能够考虑儿童肌肉骨骼力学特性的自然变化。研究了诸如跌落高度、冲击表面、儿童体重和骨密度等危险因素与游乐场设备跌落时受伤概率之间的关系,发现其与流行病学、临床和生物力学文献中的研究结果密切相符。这些结果表明,随机流变模型是评估儿童手臂骨折风险的有用工具。一旦全面开发完成,该模型提供的信息将为修改游乐场设备和表面标准的建议奠定基础。