Tag Archive for: FitBit

Can Wearable Health Monitors Predict COVID-19?

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As of this writing, there are a minimum of five studies in the U.S. to determine whether wearable health-and-fitness monitors can predict the COVID-19 infection before noticeable symptoms actually occur. They’re looking at masses of data, rather than individual data points. Some are trying to predict how severe the infection will become using the data, which would allow a city, county, region, or even a state to move the necessary resources to the locations where outbreaks will occur. It would be a real step forward in the use of digital monitoring for tracking the potential outbreaks of disease.

While I hope they’re successful, there are two problems. The devices are expensive and only about 20% of the U.S. population actually owns them; how many use them is another whole question. Fitbits and Apple Watches are purchased by the type of people who are already interested in their health. This would limit the applicability to the general population.

The second problem is that it doesn’t do an individual any good at this point. Because the data are collected anonymously, no one could be informed if they’re at risk. As more treatments are discovered, early treatment may limit the severity of any long-term effects, but that doesn’t really help if you don’t know your data.

The issue is the right to privacy and especially health information privacy. I understand that and agree with it, but there should be some way an individual could be notified. Maybe this is the point where artificial intelligence could be used to keep human eyes out of it. And when we get to that point, odds are good that insurance will cover such devices because it always cost less to treat disease in its initial stages.

If you own such a device, such as a Fitbit, Apple Watch, Oura, Garmin, or other device, there’s a list of research studies at the end of this Memo along with the contact information I could find. Check them out. The more we know, the better prepared we can be for this or any other potential epidemic in the future.

What are you prepared to do today?

        Dr. Chet

Wearable Device Study Information:
Duke Covidentify: https://bit.ly/2XXTAp6
Scripps Detect Study: https://bit.ly/3gWkMNy
Stanford Covid-19 Detection Study: https://stanford.io/2XuTGWa
RNI Wearable Devices for Covid Monitoring: https://bit.ly/37022IB

Heart Rate and Viral Infections

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What might we gain by collecting and analyzing data from fitness and health devices? In a recently published study, researchers collected data from over 200,000 different Fitbit users. They selected users from the top five states of Fitbit users and collected data on height, weight, and age as well as heart rate and sleep data. It’s important to note that the data were collected anonymously so there was no invasion of privacy.

They ended up with data sets on over 47,000 people. That’s where this study became mathematical in nature. They correlated heart rate and sleep data with the rate of flu-like cases reported in each state by the Centers for Disease Control. They found changes in heart rate and sleep time correlated with the increase in reported cases of the flu. It helped improve the prediction model between 6.3% and 32.9%.

This is important for a couple of reasons. First, they were able to handle billions of data points; that seems so easy to say, but think about what that involves in terms of data storage. Second, they were able to show some predictive use for the data.

Although they were improving the ability of the CDC to predict the number of cases in general, it requires a lot more to actually predict who has a viral infection. More about that on Saturday.

What are you prepared to do today?

        Dr. Chet

Reference: DOI:https://doi.org/10.1016/S2589-7500(19)30222-5.

Health Monitors and COVID-19

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Do you have a Fitbit that you use regularly? Does it track your heart rate? How about an Apple Watch? Can it track your temperature? Blood pressure? Millions of people use those types of devices. Think of the potential for collecting data. It could be millions of data points per second.

I recently wrote about a study that integrated data collected from smartphones with health reminders and recommendations to see whether texts and emails could impact behavior. I didn’t believe they could, based on the limited data used by the computer to send recommendations. That was really an issue of total numbers of subjects; they had 300 and they needed 300,000 or better yet, 3,000,000.

These new studies overcome the problem of limited subjects. Several research groups are collecting data anonymously from fitness devices to find out if they can predict when someone has the COVID-19 virus. What could those devices track that might predict a viral infection? Heart rate, for one. I’ll talk about that study on Thursday.

What are you prepared to do today?

        Dr. Chet

Reader’s Edition: How to Treat Obesity

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Thank you again for your responses to my question about obesity—you all did a great job. Some answers were short, and some went into a lot of detail. Just like last week, I’ve excerpted some of your answers. Enjoy reading what others have done and are doing, because if you have weight you’d like to abandon, you’ll find some tips in here to help you out.

A New Lifestyle
“It’s a lifestyle decision to make. Eat less by using a salad plate rather than a dinner plate—no seconds. Eat heart-healthy foods . . .

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