ArticleFrontiers in psychiatry2026
Feasibility of smartphone app-based neuropsychological tasks for screening people with subclinical depression and anxiety: a preliminary validation study.
Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Early identification and intervention for individuals at elevated risk for mental disorders is critical for improving quality of life and reducing social costs. Conventional self-report screening tools, however, are susceptible to social desirability and recall biases. Therefore, this study explored the feasibility and validity of smartphone app-based neuropsychological tasks designed to complement self-report measures and assist in the early screening of individuals with subclinical depression and anxiety. Methods: A subclinical depression/anxiety group (n = 55) and a control group (n = 57), aged 19-50 years (mean age = 36.14 ± 8.34), completed app-based neuropsychological tasks. Criterion-related validity was assessed using Pearson correlations between task scores and self-report scales measuring depression, anxiety, self-esteem, negative rumination, anxiety sensitivity, and distress intolerance. Discriminant validity was evaluated by conducting independent sample t-tests. Finally, discriminant analysis was performed using task variables that significantly differed between groups to evaluate classification accuracy. Results: Several index scores from the app-based tasks were significantly correlated with depression, anxiety, and related self-report measures. Mean differences between the subclinical and control groups were also significant. Discriminant analysis using auditory working memory, abandonment tendency, motivational deficit, and reasoning accuracy scores from the app-based tasks yielded a classification accuracy of 70.5% (leave-one-out cross-validation = 67.0%). When both neuropsychological task scores and depression- and anxiety-related self-report measures were included as independent variables, the classification accuracy increased to 91.1%. Discussion: The findings suggest that app-based neuropsychological tasks may serve as a promising adjunctive tool for early screening of individuals with subclinical depression and anxiety, addressing limitations associated with self-report measures.
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