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Speech analysis to screen university students for depression and anxiety

Tests whether speech analysis can detect depression and anxiety in university students.

Plain-language title generated from the registry record
Registry title: AcceXible Speech-Based Screening for Depression and Anxiety in University Students (UAQ, Mexico)

Key facts

Where
Querétaro City, MexicoSee the site

Could this be for you?

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 16 and 25 years old?

Source: NCT07578142, who can take part

Where in Mexico

  • Universidad Autónoma de QuerétaroQuerétaro City, MexicoNo longer taking part

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
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Trial details

Who runs it
Accexible
Trial code
NCT07578142
Record updated
11 May 2026
Original description
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.Read full original descriptionShow less

Validación Del Sistema de Cribaje y de Seguimiento de Accexible Para depresión y Ansiedad en el Entorno Del Alumnado de la Universidad Autónoma de Querétaro

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.

Inclusion: Provision of voluntary written informed consent; Age 16-25 years; Current enrollment at BUAP; Spanish language proficiency; Access to a mobile device with internet connectivity; Ability to understand and follow basic acceXible usage instructions.

Exclusion: Sensory impairment (visual or auditory); Cognitive impairment; Refusal to participate; Psychomotor agitation.

ClinicalTrials.gov NCT07578142