An observational study in Depression - Major Depressive Disorder and Anxiety, sponsored by Accexible. Completed at 1 site in Mexico. Open to participants aged 16 Years to 25 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-27.
Sponsored by Accexible · Observational
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 Benemérita Universidad Autónoma de Puebla (BUAP), 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.
4,868 studies on the registry are indexed under Anxiety Disorders; 1,390 are open to participants now.
This study's enrollment of 785 is above the median of 150 across 606 observational studies indexed under Anxiety Disorders.
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University students enrolled at the Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.
Exclusion Criteria:
Speech analysis
Diagnostic accuracy of acceXible for depression and anxiety screening
Sensitivity, specificity, and positive predictive value of the acceXible speech analysis system relative to validated Spanish-language versions of the PHQ-9 and GAD-7 as reference standards. Sensitivity is defined as the probability of correctly classifying a participant with abnormal scores; specificity as the probability of correctly classifying a non-affected participant; and positive predictive value as the probability that a participant flagged by acceXible truly meets criteria for depression or anxiety.
Time frame: Baseline
Plan to share: No
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This study is completed, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.
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