OpenDiabetes Store your diabetes data, share it, compare it, improve it.

This value is calculated from a scientific based formula resulting from empirical research and widely used in nutrition therapy.
The formula multiplies the physical activity rate, resulting from your input of physical activity:
Sedentary: 1.2
Low active: 1.5
Active: 1.75
Very active: 2.2

and the basal metabolic rate which is calculated with the following formula:
men: 9.9*weight(kg) + 6.25*height(cm) – 4.92* age + 5
women: 9.9*weight(kg) + 6.25*height(cm) – 4.92* age -161

So finally:
Estimated energy expenditure = physical activity rate * basal metabolic rate

Once again, a scientific based formula used widely in nutrition therapy is applied. Approximately the equivalent of 55% of your estimated energy expenditure should be in the form of Carbohydrates. It is also recommended to intake the carbohydrates through the day with the following distribution:
meal Daily % CHO
breakfast 30
snack 5
lunch 30
snack 5
dinner 26
night snack 4

Standard deviation is a value that shows how much deviation does the data have from the average. A low standard deviation indicates that the data points tend to be very close to the mean, resulting in a regular and continuous trend. On the other hand, high standard deviation indicates that the data is spread out over a large range of values, indicating that the values are not regular.

This value is important for us and for interpreting the data, as a low standard deviation will mean that whatever the average is, it seems to vary very little, and a high standard deviation means that the BG is changing a lot from day to day. Knowing this helps us draw the right conclusions from your information.

Finally, if you want to look at your data more into detail, you can change the amount of days that the program is using to calculate the standard deviation for a single BG measurement.

The program will make an average of your BG measurements from each time-frame for each month. If the resulting average is in target range (80-160 by default), then it will conclude that the "timeframe is ok". If not it will let you know if the average is high of low depending if its above or below the average.

If its the case that your timeframe average is higher or lower than the target range, the program will study your data through a pattern search. This is a bit more complex but I will guide you through the basic steps.
If its the case that during this timeframe you usually have no active bolus, the program will recommend to check the basal rates. However if you usually do have active bolus insulin, it will check if you ate recently or not. If there usually is a carb intake recorded it will recommend to check your Carb Ratio. However, if it finds that there are usually no carb intakes during that time it will recommend to check the insulin sensitivity parameter in your pump.
This analysis will take into account every day of the month, your insulin, food, and carb intake to try to detect the root cause of a BG average thats out of range.

Of course, there are many other factors that affect the blood sugar levels like stress, exercise, high fat meals and many more. Please be advised that the program will only take into consideration the information that you store in your pump.
Despite the fact that they are some factors we cant include in the program (not yet :-) ), we believe that the analysis done can be very helpful as it can analyze large amounts of information over large periods of time.

The platform will detect every time that your BG measurement was above 250 or bellow 65. It will then analyses the data, comparing the amount of times this took place on a given day of the week compared to rest. Finally it will let you know if one day of the week stands out from the rest in this aspect.

The platform will detect every time that your BG measurement was above 250 or bellow 65. It will then analyse the data, comparing the amount of times this took place on a given day of the week compared to rest. Finally, it will let you know if one day of the week stands out from the rest by having less than 5% of each of these out-of-range measurements. This would mean that on that given day your BG tends to go less to the extremes.

No. This is a complementary tool. The guides for the program to analyse the data and detect patterns or possible improvements were developed very carefully by a veteran Diabetic and a Nutritionist. However, these recommendations do not replace in any way any medical treatment and we are not hold responsible for the consequences of the use of this program.