Leiden University builds an early warning system for depression based on Fitrockr data analysis.
Oct 8, 2023
Building an Early Warning System for Depression: Rationale, Objectives, and Methods of the WARN-D Study
The Department of Clinical Psychology, Leiden University, Leiden, The Netherlands is building an early warning system for depression with Garmin wearables and the Fitrockr Health Solutions platform.
Depression is common, debilitating, often chronic, and affects young people disproportionately. Given that only 50% of patients improve under initial treatment, experts agree that prevention is the most effective way to change depression’s global disease burden. The biggest barrier to successful prevention is to identify individuals at risk for depression in the near future. To close this gap, Leiden university introduces the WARN-D study, an effort to build a personalized early warning system for depression.
The study follows around 2,000 students over 2 years and collects digital phenotype data via the Garmin smartwatch Vivosmart 4, including sleep phases and duration, activity, heart rate, and stress. Data is collected, managed and analyzed with the Fitrockr Health Solutions platform.
The WARN-D study is funded by the European Research Council under the European Union’s Horizon 2020 research and innovation program. The data collection via the Fitrockr Health Solutions platform was approved by the Leiden University Research Ethics Committee Leiden.
Ready to rock your project?
Contact us to get started.
© Digital Rebels GmbH. All Rights Reserved.