The Dietitian's Analysis

Below is another example of the value that my dietitian Stephanie adds to the NutriSense program.  This is only a limited portion of our conversation as I responded with questions regarding the metrics and my experience with restless sleep and she promtly replied with extra suggestions and research. (I will share her sleep recommendations in a future post.) The complimentary addition of the dietitian adds accountability and education.  

I did some quick research on NutriSense. The business started just a couple months before Covid.  Within 26 months it was valued at $150 million with around 130 employees. You can learn more about the co-founders Dan Zavorotny and Alex Skryl on their NutriSense website, LinkedIn, as well as through multiple podcasts.  They are young entrepreneurs and graduates of the University of Illinois. In addition, Dan has traveled to 30 different countries before the age of 30! I am always intrigued by the success and backgrounds of young business people who create niche start-up companies; in this case health, wellness, and preventative care. www.nutrisense.io/

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​Hey Tiffany! How's it going? How are you liking your sensor so far? Now that we have a few days of data, I wanted to share some metrics with you to help you asses your CGM trends. 
There are three primary trends we are looking at:

1. Fasting glucose - We are generally looking for a fasting value between 70-90 mg/dL after 8 hours without food, and an average value overnight of <105 mg/dL. Regarding fasting values, what we want to focus most on is trends in your fasting glucose. For example, if your fasting values are a couple of points higher on one day than they were the previous day, we can dive into the “why” behind this change. After a week or so of data you will start to get a good idea of what your normal is.

• Your values are a little on the high side. Your morning average is running at 96 mg/dL, and overnight average is 86 mg/dL (which is right where we like to see it!). Once again, we want to look at longer term trends, so we'll keep watching this and make adjustments as needed down the road.  You can go to Analytics> Stats> Morning Average to see your trends. ALSO, if you haven't already, you can ensure this metric is accurate by setting your Fasting Window. You can find this by going to Menu > Settings > System > Fasting Window and selecting the time frame when you typically don't eat. 

2. Post-prandial glucose - For "after eating" values, we want our peak glucose to be less than 140 and we want glucose to return back to pre-meal value within 2-3 hours of eating. Here we are looking at both how high the glucose goes and how quickly it comes back to normal. We want to avoid dramatic spikes and prolonged increases.

• Your highest blood sugar over the past few days was 159 mg/dL yesterday evening after your dates dipped in almond butter. Modifying that meal (less dates, adding more protein, meal sequencing, adjusting the timing) is a great tactic to lower this peak, as well as trying the same meal out under different scenarios, such as before a walk! We can dive more into this as we go! You can see this data on postprandial values by going to Analytics> Stats> Max.

3. Glycemic variability - Finally, we want your glucose "swings" to be gradual and not dramatic, you can monitor this by viewing your glucose standard deviation. We want a standard deviation below 20, with less than 14 being optimal.

• Your current standard deviation is 14, which is EXCELLENT. You can see this data by going to Analytics> Stats> Standard Deviation

All in all, you are doing really good, and getting some awesome information on your baseline blood sugars. 

Let me know if you have any questions about that data review! And feel free to fill me in on any observations or correlations you are making too! I'd love to hear!