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Home » Fitness » Can fitness bands predict COVID-19 infection before you show symptoms? Probably not – Massive Science

Wearable fitness technology companiesclaim to optimize athletic training, recovery, quality of sleep, and result in an overall increase in well-being. Although the accuracy of some of the devices have been called into question, studies have found that these wearable fitness trackers can promote behavioral changesassociated with heart rate and daily step count that are linked in more active lifestyles.

However, what happens when one of these companies publicly claims to be able to predict the risk of infection from a disease?

WHOOP is a wearable fitness technology company that has received media interest for claims of being able to predict risk of COVID-19 earlier than the onset of noticeable symptoms. They claim that monitoringtheusers resting respiration rate (taken when the user's breathing rate is the lowest, at night) can help in early detection of the virus. COVID-19 is, first and foremost, a respiratory tract infection thatcan causerespiratory distress.If the WHOOP app notices any abnormal variation in the users resting breathing rate, wearers may receive a notice that they are at risk of being infected by COVID-19. By being able to identify any abnormality in respiration, users could potentially get tested and isolate themselves earlier than they would otherwise.

The company, which has financial backing from the co-founder of Twitter Jack Dorsey and NBA basketball player Kevin Durant, received even further attention when pro-golfer Nick Watney was alerted, accurately, via the WHOOP app that he may have COVID-19. This led to the PGA tour acquiring WHOOP straps for its employees and athletes. But besides anecdotal accounts, what is the scientific evidence that this fitness strap can accurately predict COVID-19 infection from respiration rate?

SARS-CoV-2, coronavirus (magenta), emerging from a cell (green) cultured in a lab

NIAID-RML

Only one study exists examining WHOOPs claims regarding COVID and, despite media outlets reporting this paper as scientific evidence of the validity of the device, it has yet to be peer-reviewed. Incidentally, this study was funded by WHOOP, and was also a collaborative effort with researchers from Central Queensland University and WHOOP. Laying aside the bias of being conducted and funded by WHOOP, this study, at least on the surface, seems to have positive results. WHOOP's algorithm to track respiration rate was able to identify 20 percent of COVID-19 positive individuals two days before those users started reporting symptoms, and 80 percent of positive cases by day three of reported symptoms. Identifying a COVID-19 infection this early would allow patients to get tested and isolate themselves much earlier, potentially slowing the spread of the disease.

Unfortunately, the positive results seem less impressive when diving into the study's methods. WHOOP was tasked with creating an algorithm that could monitor nightly variation of respiration rate and identify abnormal readings as a possible COVID-19 infection. However, no long-term investigations studying nightly variation in respiratory rate have been conducted. The investigators solution was to use their own users data in order to create a baseline for normal nightly respiratory variation. This supplementary dataset used 25,000 users' nightly data, accounting for 750,000 nights of sleep. By doing so, WHOOP's studyworks under the assumption that their device is fully accurate in its ability to measure respiration rate.

No long-term investigations studying nightly variation in respiratory rate have been conducted.

Polina Zimmerman / Pexels

Since these devices were originally intended for promotingpositive behavioral changes such as increased physical activity and improved quality of sleep, precise accuracy (as required in clinical medicine) was not necessary. Currently, only one peer-reviewed paper validating the WHOOP straps accuracy in measuring respiration rate at night exists. The resultswere positive and concludethat WHOOP is accurate compared to the gold standard, inductance plethysmography, which measures the movement of the chest and abdominal wall to calculate respiratory rate. However, the number of participants in this studywaslow,and the researchers only used one night of sleep to evaluate the straps accuracy. A larger, more extensive clinical study would likely be required to validate the accuracy of the WHOOP strap.

Potential problems also exist in the inclusion criteria for subjects. For this investigation, all subjects were already WHOOP customers and either had already begun self-reporting COVID-19 symptoms or had been tested for COVID-19 infection. This choice in inclusion criteria represents a methodological problem as the population used in this study may not be representative of the general population as a whole. Using only WHOOP users could affect the sensitivity of the algorithmas the demographics may not accurately reflect the general populace. And by only including subjects that were already self-reporting COVID-19 symptoms or had already undergone testing, subjects experienced a much higher rate of infection than the general population. Although the algorithm identified many of the COVID-19 positive cases in their investigation, its ability to predict infection in much larger populations with lower rates of infection, as well as ailments with similar symptoms, remains untested.

Indeed, monitoring respiration rate in a population that likely has been exposed to COVID-19 may in fact be a potential tool for early detection. However, variation of respiratory rate is also a common symptom for many ailments such as mild infections. Unfortunately, WHOOPs algorithm shows no ability to discriminate between a possible COVID-19 infection from any other pathological condition that features a variation in respiration, likely limiting any potentially useful application.

WHOOP's studies leave many unanswered questions regarding their strap's relative accuracy, as well as ability to predict risk of COVID-19 infection in a clinically useful way. And yet it is entirely possible that the fitness band does everything that it is purported to do. However, when a brand or company takes a step into the realm of clinical medicine by claiming ability to predict risk of infection from disease, for instance such claims need to be rigorously investigated.

Unfortunately for WHOOP, there is a lack of empirical evidence that would likely prevent this type of technology from being widely used in the fight against the spread of COVID-19 infection. WHOOP represents a useful reminder to maintain a healthy skepticism when dealing with claims from a company, especially in regards to the health and wellbeing of the consumer.

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Can fitness bands predict COVID-19 infection before you show symptoms? Probably not - Massive Science

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Home » Fitness » Can fitness bands predict COVID-19 infection before you show symptoms? Probably not – Massive Science