A Hot Topic

July 10, 2012

It is a terrible irony that Georgia saw two of its high school football players die late last summer when it’s the Georgia High School Association that was providing us with the best information we’ve ever had about the risks of heat illness and death.

The deaths occurred in the third year of a thorough three-year study in Georgia that is reinforcing common sense. The study is confirming who is most at risk and when they’re most at risk.

  • Who is most at risk? Linemen more than other players; underclassmen more than older players; those who have had the flu or similar sickness more than others.
  • When are they most at risk? During the season’s first week more than the second. During the second practice of a double session day more than the first. During the second half of the second practice more than the first half, and, early in the morning when humidity is often highest.

It all makes perfect sense: the chubby 9th or 10th grader during the second half of the second practice during the first week of the season. And because it’s statistically predictable, heat illness is almost entirely preventable.

There is some danger here in over-generalizing and over-simplifying, but awareness of these tendencies will help coaches to schedule and administrators to legislate around high-risk scenarios. We expect both will be happening in Michigan.

Improving Concussion Data

August 18, 2017

The Michigan High School Athletic Association’s 750 member high schools reported nearly 500 fewer concussions for the 2016-17 school year than the year before – 11 percent fewer.

That’s good news, but it’s not a trend we can bank on. It’s too soon to do that. There are too many variables that might explain or contribute to the decline from 4,452 to 3,958 concussions.

Related Story | 2016-17 Summary Report

But of this we are certain: Schools are taking head injuries seriously. It is not a lack of concern or a lack of care in reporting that has led to the 11 percent decline.

It’s more likely the second year’s data is just better than the first year. The process was better understood. The numbers are more accurate.

Our data will become most reliable and useful when we have several years to compare and analyze. Only then will we really know where the trouble spots remain; and only then can those areas be most effectively addressed.