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Development of an inventory for the early detection of depression in adulthood and youth – Depression Early Prediction Inventory

Development of an inventory for the early detection of depression in adulthood and youth – Depression Early Prediction Inventory - DEEP-IN

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00038800
Enrollment
1150
Registered
2026-02-11
Start date
2025-12-01
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

F32 F33 F31 F92.0

Interventions

Group 1: Study group (SG): Individuals with a current or past diagnosis of a depressive disorder will undergo a one-time assessment using Modules 1–6. The total assessment time for the SG is approxima
CG2: individuals with obsessive-compulsive disorder (ICD-10: F42.x)
CG3: individuals with ADHD (ICD-10: F90.0)
CG4: individuals with a schizophrenic disorder (ICD-10: F20.x), excluding post-schizophrenic depression (ICD-10: F20.4). For CG1 to CG4, one assessment day of up to 4 hours (including breaks) is plann
personal information questionnaire – healthy control group (CG4)
- Module 2: clinical psychiatric diagnostic assessment – clinical control group (CG1–3) - Module 6: questionnaire on current well-being – clinical control group (CG1–3) and healthy control group (CG4)

Sponsors

LVR-Klinikum Düsseldorf, Kliniken der Heinrich-Heine-Universität Düsseldorf
Lead Sponsor

Eligibility

Sex/Gender
All
Age
13 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Patients with a previous or current diagnosis of a depressive disorder according to the ICD-10 /ICD-11/DSM-5 criteria: a) Depressive episode (ICD-10: F32.x / ICD-11: 6A70.x, 6A7Z / DSM-5: F32.x) b) Recurrent depressive disorder (ICD-10: F33.x / ICD-11: 6A71.x / DSM-5: F33.x) c) Bipolar affective disorder (ICD-10: F31.x / ICD-11: 6A6Z, 6A60.x / DSM-5: F31.x) d) Depressive conduct disorder (ICD-10: F92.0) 2. Age between 13 and 65 years. 3. The patient has sufficient verbal and cognitive abilities to understand and answer questions asked during the assessments.

Exclusion criteria

Exclusion criteria: 1. Insufficient knowledge of German that hinder the understanding of the questions and instructions 2. Acute suicidality 3. Comorbidities classified according to ICD-10 as: a) F0 Organic, including symptomatic, mental disorders b) F1 Mental and behavioural disorders due to psychoactive substance use (with the exception of the diagnosis F1x.1 – Harmful use) c) F2 Schizophrenia and delusional disorders (with the exception of the diagnosis F21: schizotypal disorder) d) F84 Pervasive developmental disorders 4. History of severe somatic or neurological disease (e.g. tumor disease) with current influence on brain function 5. Learning disorder with effect on reading ability 6. A medical history of somatic/neurological disease affecting the brain, which is the primary explanation for the psychological symptoms. 7. Learning disability or intellectual disability (IQ < 70)

Design outcomes

Primary

MeasureTime frame
The central aim of the present study project is the empirical extraction of predictors as well as the development of a psychometric instrument for risk estimation of the onset of depression, taking into account biopsychosocial risk and protective factors and psychopathological aspects.

Secondary

MeasureTime frame
1) The multifactorial genesis of depression is based on various etiopathogenetic, psychopathological, and psychosocial factors that can be explored using “DEEP-IN” and allow for a specific description of depressive prodromal symptoms. Predictive models are to be extracted based on this. 2) The “DEEP-IN” questionnaire battery has sufficient retest reliability and validity. 3) The “DEEP-IN” early detection inventory enables the characterization and clustering of specific prodromal courses of depression and the development of a predictive model for forecasting the individual later onset of depression.

Countries

Germany

Contacts

Public ContactEva Meisenzahl

LVR-Klinikum Düsseldorf, Kliniken der Heinrich-Heine-Universität Düsseldorf

eva.meisenzahl@lvr.de+49 211/922-2000

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Mar 14, 2026