Glucose Buddy has a graph section that I find a little too simple for my own diabetes management style, but is probably detailed enough for the average diabetic. The glucose graph (below) has three plot lines. The plot lines mark the daily highest high and daily lowest low with another showing the average blood glucose levels for the entire day of all readings. I like to see each glucose reading plotted so I can see how many highs and how many lows I may have had throughout the day. I think a doctor may look at a graph and think one high and one low is OK because the average looks good when in reality the blood sugars were seesawing up and down. From the example below, you can see that the April 3rd day was far better than the April 11th day and yet the graph would not indicate the large differences between the two days. A close look at the log book would show the difference, but how many doctors are actually going to go through a log book line by line for several months?
|Time||April 11||April 3|
Obviously I manipulated the data to yield the desired results on the graph, but it does show what can happen when using averages without also visually providing the data points used to obtain those average numbers.
In addition to glucose readings you can also choose to display Activity Time, Food Carbs (grams), Systole and Diastole readings, Heart Rate and Weight. The Activity Time and Food Carbs are available with the free version, but you will need to upgrade to add the BP and Weight option. At the time of this review the upgrade cost was $3.99.
Logs can be exported directly from the app by e-mail. There is a spot to enter your doctors e-mail as well as your e-mail for quick sending of the log book. From the settings page you can send your logs to any e-mail address you wish. The e-mailed log does not use the color bars to categorize the type of data entered but is replaced with a TYPE column and is easy to use. The e-mailed logs are sent as an embedded table with no attachment. This makes it very hard to move the data to a spreadsheet. Fortunately the data is easily synced with their website and from there the log data can be exported as a .cvs file.
Scientists in the United States say shift workers getting too little sleep at the wrong time of the day could be increasing their risk of diabetes.
They have found that changes to normal sleep means the body is unable to control sugar levels.
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