When looking at data and metrics, there will be many different correlations or paths to take to administer care.

Attached is an example of how one could interpret all Theia data when actioning care plans and going into client meetings.

Below are some of the metabolic health factors to consider as part of your analysis/interpretation:

There are many factors to diet; here are the key ones to consider when looking at data:

Food intolerances can cause an inflammatory response where additional testing may be required. Intolerance can show as glucose spikes or dips even when the meal doesn't seem like it should cause that metabolic response.

A more common factor for many clients is overeating. Eating too much of anything can cause irregular glucose fluctuations due to the excess energy influx the body is responding to.

While less common, undereating can be an overlooked issue for some clients. Glucose could show high levels even on low-calorie and no-carb diets. The main reason here would be that the body is producing it's own energy due to insufficient energy coming in.

People will eat thinking it's in accordance with their care plan unaware that the amount of food is high/low. This can be seen in glucose data, even when someone eats a 0-carb meal but sees abnormal blood sugar fluctuations.

Is the user adhering to their dietary guidelines or just thinks they are. Sometimes people think they are eating a lot of a certain macronutrient like protein, but closer inspection shows that may not be the case. If their nutrient distribution isn't meeting their needs, they may find that they are less satisfied and snack a lot. It could be an indicator that they are not satieted and their nutrient intake needs a rebalance.

It's natural for glucose spikes to occur during high-intensity training. It's a period where the body is producing more energy to keep up. As long as a user logs an exercise as HIIT, the Theia algorithm does not deduct points as it understands this is a healthy response.
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The only time Theia will deduct points when someone logs a HIIT workout is if the data shows the user's body is not recovering quickly enough, and thus it may have been too intense of a workout.

Depending on the type of cardio, typically the longer a person does cardio, the more it stabilizes blood sugar (caveat being HIIT as mentioned above). If glucose remains high with long bouts of cardio, it can be a sign that it's consistently high, and you may wish to review other factors.

This type of exercise often doesn't impact glucose in the short term, unless it's done with lots of intensity and becomes a cardio session as well. However, building muscle has been shown to increase glucose stability over a longer period of time. It's good to see if this type of exercise is impacting irregular glucose spikes/dips, as it could be a sign that something else is impacting the client.

A glucose spike is a natural response whenever a user does a cold plunge or enters a sauna. If the user logged this activity, the Theia algorithm knows it's a healthy spike and does not deduct points.

The only time Theia will deduct points is if the data shows the user's body is not recovering quickly enough, and thus it may have been too intense of a workout.

Whenever someone is feeling under pressure, their physiology changes. There can be multiple instances in a day where glucose spikes without any food or exercise logging. In these situations, if the user logs that they are stressed, it's a great way for you to explore what was happening in their life at that moment in time.

Similar to stress, users will go through a wide variety of feelings/emotions each day. All of these are good points of discussion to understand better how the user lives their life daily. There may be certain feelings that correlate more strongly with glucose spikes.

People are often tied to emotions; however, there may be certain days of the week when you notice that a client does poorly or well in their metabolic data. If all other factors seem normal, then digging into relationships that serve/don't serve the client is a good path to explore.

The passing of a loved one or a terminal diagnosis, for example, can impact all the other factors, such as feelings/emotions. It's an important consideration if correlations are not making sense with glucose irregularity.

A time when lots of things are changing in the body, and users will need more assistance. This is highly personal, so if you have checked all the other factors and glucose is still acting irregular, think about other diagnostics you could run in order to get more data.

Anytime a user goes through surgery, it's a traumatic event, and glucose irregularity is to be expected due to inflammation in the body. If the trendlines are moving in the right direction, no intervention may be needed. Otherwise, more diagnostics can be helpful to narrow down any complications.

Lots of homes all around the world have some type of mold. It can be severe or mild; however, every user will have a different reaction to it. Glucose can react as the immune system reacts, and a giveaway of this happening is when glucose rises in certain parts of a home but not others.

Cats, dogs, dust mites, etc, are known allergens which can impact blood sugar. This is dependent on the user and how severe their allergy is.

Poorly ventilated areas/homes/offices can have high Co2 buildup. This can cause inflammation in the body and thus spike glucose.

Due to poor filtration and old pipes it's common that the majority of people are taking in chemicals, heavy metals, and sometimes bacteria from their water supply. Any combination of these can impact metabolic health via inflammation, allergic reaction or hormone disruption.

CGMs are great technology; however, they are not perfect. Anytime a sensor has lots of pressure put on it, the sensor thinks glucose is dipping, causing a false negative. Check in with your client to make sure to see if they slept on their arm (the most common reason this happens) or put unknown pressure on their sensors.

On the rare occasion a sensor can be faulty (reading extremely high or low). In these scenarios, you may wish to test against a finger prick to make sure it's a sensor error vs. the client having hyper/hypo glycemia. In the case where the finger prick verifies the sensor is faulty, we have a streamlined process for requesting replacement on behalf of your client. You can learn more about sensor replacements here.

Learn more about metabolic health through our metabolic education resources here.

Our support team can be reached via [email protected] or through the 'Help' button in the bottom right corner of the Theia mobile app if you need any assistance!