Can your smartwatch predict a stress breakdown?
NCT ID NCT07622589
First seen Jun 06, 2026 · Last updated Jun 19, 2026 · Updated 2 times
Summary
This study will use wearable devices like heart rate monitors and sleep trackers to see how financial stress and news affect your body. Researchers will follow 2,500 adults remotely, collecting data on heart rate, sleep, and stress levels. The goal is to create AI tools that can predict when stress might lead to health problems.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Truway Health, Inc.
New York, New York, 10016, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to early warning systems that detect when stress is harming your health, helping prevent problems like heart issues or sleep disorders.
What could go wrong
This is an observational study, not a treatment trial. It may not find clear patterns, and results might not apply to everyone. No direct health benefits for participants.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.