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4A.001 Application of multilevel modeling in sports and recreational injuries studies
  1. Oluwatosin Ogunmayowa,
  2. Charlotte Baker
  1. Virginia Tech, Blacksburg, USA


Over the past decade, there has been increasing interest in analyzing how risk factors defined at multiple levels affect individuals’ health outcomes. Multilevel Model (MLM) has been presented as an appropriate statistical tool that may help with this need because it enables the simultaneous examination of individual-level and environmental-level effects on health outcomes. Despite the recently increasing application of MLM in public health research, the use of this technique in sports and recreational (SR) injuries studies has been very limited.

The risks of SR injuries have continued to increase as participation in SR activities have increased across age groups in the United States (U.S.). According to the U.S Centers for Disease Control and Prevention, the average annual estimate of SR injury episodes in the U.S. is 8.6 million with about 4 million treated in hospital emergency departments. While this number is significant, SR injuries have been largely under-researched and there is still less awareness on how individual-level (e.g. body composition and physical activity) and environmental-level factors (e.g. built environment) simultaneously and interactively affect SR injury outcomes.

This study i) reviewed literatures that have examined the effect of environmental-level risk factors on SR injuries, ii) determined the modeling techniques applied in the studies, and iii) discussed, with examples, the potential for using MLM to understand how environmental-level factors might alter the association between individual-level risk factors and SR injuries. The outcome from this study will help in developing SR injuries interventions at multiple levels of influence.

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