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

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Conditions studied: Depression - Major Depressive Disorder, Anxiety

In brief

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 facts

Study ID
NCT07578142
Run by
Accexible
People needed
80
Starts
2026-09-05
Expected to finish
2027-09-01
Last updated by the study team
2026-05-11

Who can join

Age: 16 and older, up to 25. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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