NCT07112118

Brief Summary

Screening with depression scales alone is subjective, and relying on single-modal data often leads to incomplete identification of symptoms that are easily missed or misdiagnosed. In this study, we first aim to use artificial intelligence to construct a depression symptom recognition model, concatenate multimodal features such as facial expression, audio, text, and postural behavior, and deeply fuse them to construct a multimodal model.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,000

participants targeted

Target at P75+ for all trials

Timeline
20mo left

Started Sep 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress29%
Sep 2025Dec 2027

First Submitted

Initial submission to the registry

July 17, 2025

Completed
22 days until next milestone

First Posted

Study publicly available on registry

August 8, 2025

Completed
24 days until next milestone

Study Start

First participant enrolled

September 1, 2025

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
1.3 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2027

Last Updated

August 11, 2025

Status Verified

July 1, 2025

Enrollment Period

1 year

First QC Date

July 17, 2025

Last Update Submit

August 7, 2025

Conditions

Keywords

depression symptoms

Outcome Measures

Primary Outcomes (1)

  • Use the PHQ-9 (Patient Health Questionnaire - 9 ) to assess whether the respondents have depressive symptoms. The scale score is one point for each item.

    If the PHQ-9 score is 5 or higher, it is determined as a positive sign of depressive symptoms.

    2025.09.01-2026.09.01

Study Arms (2)

non-depression

Elderly people without depressive symptoms

Other: data collection

depression

Elderly people at risk of depression

Other: data collection

Interventions

Collect the facial expressions, audio, text and postural behavior data of the respondents using electronic devices.

depressionnon-depression

Eligibility Criteria

Age60 Years - 100 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Elderly individuals aged 60 years or older

You may qualify if:

  • Elderly individuals aged 60 years or older.
  • Residents of the community (with residence time of more than 6 months).
  • Possessing certain reading, writing and comprehension skills, being able to communicate with researchers without obstacles, and being able to independently complete the measurement of various indicators or, although unable to independently fill out the questionnaire, being able to independently make evaluations of the questionnaire items.
  • Those who have given informed consent.

You may not qualify if:

  • Those who meet the diagnostic criteria for cognitive impairment (dementia) as stipulated in DSM-5, and/or who suffer from severe physical diseases (such as advanced cancer, cardiovascular and cerebrovascular diseases, etc.).
  • Those who are undergoing antidepressant treatment.
  • Elderly individuals who have had suicidal thoughts in any psychological assessment, should be referred to the psychological hotline platform in Wuhan.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Wuhan Mental Health Center

Wuhan, Hubei, 430012, China

Location

MeSH Terms

Conditions

Depression

Interventions

Data Collection

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehavior

Intervention Hierarchy (Ancestors)

Epidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public Health

Study Officials

  • Xiaoxv Yin, PhD

    Huazhong University of Science and Technology

    STUDY CHAIR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
ECOLOGIC OR COMMUNITY
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 17, 2025

First Posted

August 8, 2025

Study Start

September 1, 2025

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

December 30, 2027

Last Updated

August 11, 2025

Record last verified: 2025-07

Data Sharing

IPD Sharing
Will not share

Locations