Variations in Mechanisms of Injury for Children with Concussion

Juliet Haarbauer-Krupa1, Kristy B Arbogast2, Kristina B Metzger3

  • 1National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.

Insights

Most childhood concussions in a large pediatric system are sports-related, but non-sports activities like falls and being struck by objects cause a significant number of injuries, especially in younger children.

Area of Science:

  • Pediatric medicine
  • Neurology
  • Sports medicine

Background:

  • Concussions are a common injury in children.
  • Understanding injury mechanisms is crucial for prevention.

Purpose of the Study:

  • To determine the distribution of injury mechanisms and activities leading to concussions in children.
  • To analyze age-related differences in concussion causes.

Main Methods:

  • Retrospective review of electronic health records from a large pediatric healthcare system.
  • Analysis of concussion diagnoses (International Classification of Diseases, Ninth Revision, Clinical Modification) in patients aged 0-17.
  • Manual review of a random sample of patient records (n=1625) to examine injury details.

Main Results:

  • 70% of concussions were sports-related, with this percentage increasing with age.
  • In non-sports-related concussions, being struck by an object and falls were the primary causes (30% each).
  • Younger children (0-4 years) had a lower proportion of sports-related concussions (18%) compared to older age groups.

Conclusions:

  • Sports activities are the leading cause of concussions in children over 6 years old.
  • A significant portion of concussions result from non-sports-related incidents, highlighting the need for broader prevention strategies.
  • Prevention efforts should address both sports and other common childhood activities that lead to concussions.
Abstract

Related Concept Videos

What is Variation?01:14

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.9K
Variation01:19

Variation

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.1K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.2K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.8K
Coefficient of Variation01:10

Coefficient of Variation

The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
8.7K