Your facebook posts might reveal your heart health risk
NCT ID NCT04574882
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study looked at whether digital data like social media posts and online searches can help predict heart disease risk and healthcare use. Researchers analyzed language from Facebook, Twitter, and other platforms from 781 adults aged 30-74. The goal was to find patterns in language that might be linked to heart disease, not to test any treatment.
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 new ways to identify people at risk for heart disease using their online activity.
- What could go wrong
- This was an observational study, not a treatment trial. The findings may not translate into practical tools or apply to everyone.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
781 people
The number who actually took part.
- Started
-
Sep 2020
- Finished
-
Jun 2025
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
We will identify patients ages 30-74 with and without CHD (ICD 9:414.0, ICD 10: I63, I20-I25)
- Ages
-
30 to 74 years
- Sex
-
Anyone
- Healthy volunteers
-
Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * 30 - 74 years of age * Willing to sign informed consent * Primarily English speaking (for language analysis) * Has an account on any of the following digital data platforms (Facebook, Instagram, Twitter Reddit, Google (gmail), or smartphone or wearable device such as Apple Health, Fitbit, Samsung Health, MapMyFitness or Garmin) and willing to share data * If has social media account, Instagram or Facebook, willing to share historical and prospective data (60 days) If has Google (gmail) account, willing to download and share google takeout zip file * If has smartphone or wearable device, willing to share step data * Willing to share access to medical health records * Willing to share healthcare insurance information Exclusion Criteria: * Patient does not meet age inclusion criteria above * Does not use and post on digital data sources we are studying or unwilling to donate data * Patient is in severe distress, e.g. respiratory, physical, or emotional distress * Patient is intoxicated, unconscious, or unable to appropriately respond to questions
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Cardiovascular diseases are added.
Genom att skicka in godkänner du våra Användarvillkor
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.
Contacts and locations
Locations
-
University of Pennsylvania Health System
Philadelphia, Pennsylvania, 19101, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Could monthly texts and automatic risk scores stop heart attacks before they start?
- Can a nurse and a neighbor help tame chronic disease?
- Two eggs a day put to the test for heart health
- A soft patch that watches your heart beat in real time
- Can a Once-Daily form of tacrolimus spare liver transplant patients from side effects?
- Inhaled drug aims to ease dangerous lung blood pressure in scarred lungs