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August 11, 2025

Using smartphone-tracked behavioural markers to recognize depression and anxiety symptoms: Digital phenotyping in the Netherlands Study of Depression and Anxiety (Preprint)

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Authors

GAGeorge AalbersACAndrea CostanzoRJRaj Jagesar

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Overview

Observational analysis identifies behavioral markers for depression and anxiety in individuals, suggesting smartphone data may inform diagnostics.

Key Points

  • Fewer GPS-based trajectories are linked to increased likelihood of depression or anxiety symptoms in individuals, indicating a potential marker for diagnosis.
  • Using behavioral markers improved diagnostic predictions, with machine learning models achieving an AUC of 0.60, outperforming models based solely on demographics.
  • Analysis involved tracking location and app usage in 217 individuals, both symptomatic and asymptomatic for depression and anxiety.
  • While findings suggest limited discriminant ability, the potential exists for smartphone data to augment diagnostics in future studies.

Cite This Study

Aalbers et al. (2025) studied this question.

synapsesocial.com/papers/68c23528b210217d6476f55ahttps://doi.org/10.2196/preprints.80765
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Scoping Review of Smartphone-Based Digital Phenotyping (Preprint)2025
  2. 2Digital phenotyping using wearable-determined physical behaviors and machine learning to detect depression and anxiety in a general population2025 · 1 citations
  3. 3Context-Aware Digital Phenotyping of Youth Mental Health Using Mobile Ecological Prospective Assessments of Smartphone Use2025
  4. 4Assessing the feasibility of large-scale digital sensing for depression and anxiety: The Digital Mental Health Study2025
  5. 5Digital Phenotyping of Individuals with Suicide Attempts: Comparison and Classification with Healthy Controls Using passive-sensing Smartphone Data (Preprint)2025