Skip to content

Early Signs of Depression and Anxiety in the Young using digital biomarkers

Early Signs of Depression and Anxiety in the Young using digital biomarkers - Early SoDA

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00033164
Enrollment
200
Registered
2024-07-11
Start date
2024-07-08
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

F32 F40 F41

Interventions

Group 1: Assessment of mental health in four 14-day data collection waves over a period of 6 months using the Brain Explorer App and the messenger Famedly. This involves playing games on the Brain Exp

Sponsors

Universitätsklinikum Tübingen - Abteilung Psychiatrie, Psychosomatik und Psychotherapie im Kindes- und Jugendalter
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to 22 Years

Inclusion criteria

Inclusion criteria: 1) Participants should have access to a smartphone (Android/ iOS) with internet connectivity 2) Participants should have sufficient proficiency in the German language 3) Participants may, but do not have to, exhibit a psychological abnormality

Exclusion criteria

Exclusion criteria: Participation in the Early SoDA project is not possible if the participant is experiencing an acute mental health crisis requiring immediate intervention, such as acute suicidality. In such cases, inpatient treatment would be indicated, and the support provided within the Early SoDA framework would not be sufficient.

Design outcomes

Primary

MeasureTime frame
Psychological strain in the area of depression and anxiety (DASS Depression-Anxiety-Stress Scales); We expect that, using data collected in daily life (Brain Explorer, EMA, voice recordings), the process of developing a psychopathology (measured by the DASS) can be predicted (can we predict the DASS using all these predictors?)

Secondary

MeasureTime frame
Furthermore, we expect intercorrelations between the three predictors, as well as that the EMA will have the greatest predictive value in predicting psychopathology.

Countries

Germany

Contacts

Public ContactNadine Nicole Schmitt

Universitätsklinikum Tübingen - Abteilung Psychiatrie, Psychosomatik und Psychotherapie im Kindes- und Jugendalter

nadine.schmitt@med.uni-tuebingen.de+49 1637949042

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026