WARN-D: building an early warning system for depression.
Dr. Eiko Fried

Organization
Department of Clinical Psychology, Leiden University, Leiden, The Netherlands.
Team
Eiko I. Fried
Ricarda K. K. Proppert
Carlotta L. Rieble
Project Description & Objectives
Studying can be a stressful time, and some students experience mental health problems such as depression during their education. To understand these stressors and experiences better, our study is one of the first in the world to really zoom into the daily lives of students. To do so, we follow 2,000 students living in the Netherlands for 2 years, in part using smartwatches and smartphones as data collection tools. We hope that the results from this study will help us understand what stressors students experience, and how students deal with these stressors. When our study is done, the collected data will help us to build the personalized early warning system WARN-D, which we will make available for free as a smartphone app. The idea of the app is similar to apps that provide you with storm alerts for the next few days in your region. WARN-D will help us develop personalized prevention programs to tackle mental health problems before they occur. Unlike storms from which we can only run or seek shelter, there is a real chance we can prevent mental health problems altogether.
Data Collection Process
Each participant was wearing a Garmin Vivosmart 4 to collect data for 3 months. Data was synced to Garmin Connect on the participant smartphone. The Fitrockr Health Solutions platform extracted the raw data from Garmin Connect and made it accessible for download and further analysis.
Fitrockr Utilization
Fitrockr extracted all participant data from Garmin Connect and made it accessible via Fitrockr reports and raw data downloads (XLS, CSV, JSON).
Wearable Used
Garmin Vivosmart 4
Number of Participants
1800
Duration
3 years
Metrics Collected
Daily Activity Data
Steps
Heart Rate
Stress
Body Battery
Sleep
Fitrockr Sync Type
Sync via Garmin Connect app on participant smartphone.

Fitrockr is a leading health and fitness data analytics platform that empowers organizations to connect, manage and analyze data from wearables. Designed for research, clinical studies, healthcare, coaching and fitness gamification, Fitrockr enables seamless integration of biometric and activity data, providing deep insights through advanced analytics, dashboards, reports and raw data downloads. Automated alerting, push notifications, surveys and outcome assessments support data collection. With a focus on data privacy, security, and local hosting options, Fitrockr supports global institutions in transforming raw health data into actionable outcomes. Learn more at www.fitrockr.com.
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