#247 Defining Diabetes: Standard Deviation

Concepts

Scott Benner and Jenny Smith explore the concept of standard deviation in the context of diabetes management. Jenny explains that standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values, which in diabetes, relates to blood glucose levels. She notes that a lower standard deviation indicates more stable glucose levels, resembling gentle rolling hills, while a higher standard deviation suggests more fluctuation, akin to a roller coaster ride 1.

If you have a standard deviation of 20, you should have glucose values that look like these little gentle rolling hills, up and down.

--- Jenny Smith

Scott adds that understanding this concept is crucial for interpreting CGM reports and setting realistic glucose targets 2.

   

Application

The application of standard deviation in diabetes management is vital for assessing blood sugar stability. Scott shares his experience of setting tight glucose goals, which initially made his daughter's blood sugar stability appear poor due to the narrow range 3. Jenny clarifies that even with a broader target range, significant fluctuations can still result in a high standard deviation, emphasizing the importance of minimizing these variations for better health outcomes.

Standard deviation is a huge one. You definitely don't want the bounce. You want more gentle rolls.

--- Scott Benner

Achieving a lower standard deviation, along with maintaining time in range, can positively influence A1C levels, reflecting overall glucose control 3.