AcceXible Speech-Based Screening for Depression and Anxiety in University Students (UAQ, Mexico)

Sponsor
Accexible
Study ID
NCT07578142
Status
Not Yet Recruiting

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Conditions

  • Anxiety
  • Depression - Major Depressive Disorder

Eligibility Criteria

Sex
ALL
Age
16 Years - 25 Years
Healthy Volunteers
Accepted

Interventions

  • Accexible — DEVICE
    Speech analysis

Study Details

Major depressive disorder (MDD) and anxiety are increasingly prevalent among university student populations, yet early detection remains reliant on psychometric instruments tied to diagnostic criteria (e.g., PHQ-9, GAD). Emerging evidence suggests that depression affects both the acoustic properties and content of speech, making speech analysis a promising candidate as a digital biomarker for early screening. This study evaluates the validity of acceXible, a speech-based machine learning platform, for the detection and monitoring of depression and anxiety in the student population of the Universidad Autónoma de Querétaro, Mexico. AcceXible captures spontaneous speech through open-ended interview tasks and applies automated acoustic and linguistic analysis. The primary objective is to evaluate the validity of the acceXible spontaneous speech analysis system for depression and anxiety screening, assessed against the PHQ and GAD scales as reference standards. Secondary objectives include examining associations between speech-derived variables and other study measures, evaluating participant engagement with digital mental health resources, assessing user satisfaction with the platform, and analyzing longitudinal changes in scores across follow-up assessments.

Key Dates

First listed
May 11, 2026
Start date
Sep 5, 2026
Status verified
May 2026
Primary completion
Sep 30, 2027
Completion
Sep 30, 2027

Study Design

Enrollment
80 participants (estimated)

Primary Outcome Measure

Diagnostic accuracy of acceXible for depression and anxiety screening [ Time Frame: Baseline ]

Central Contacts

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