Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies

Depression, anxiety, and stress are commonly studied in the elderly, often manifesting as a loss of interest in previously enjoyed activities, disrupted sleep patterns, and other emotional or behavioral changes.However, with rapid technological advancements, young adults particularly those between the ages of 20 and 40 are emerging as a highly vulnerable group.This demographic faces a unique psychological burden, as they attempt to navigate the cultural and generational gap between two vastly different worlds: an older generation that often resists or struggles to adapt to revolutionary technologies, and a younger generation having a grip on modern technology.This generational divide can create a sense of isolation and pressure for young adults especially those people living in developing countries where open conversations about mental health still remain stigmatized and difficult to initiate.This research aims to develop a mental health app that can evaluate depression, and stress among young adults using the DASS-21 self-assessment test and suggest a personalized intervention keeping in view the level and severity of depression and stress.For personalized interventions, upper confidence bound algorithm is used to maintain a balance between exploration and exploitation.Agent's performance and effectiveness of intervention is evaluated by a post-test.

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Publication Details

Journal
Annals of Computer Science and Information Systems
Published
2025-10-15
DOI
https://doi.org/10.15439/2025f7347
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies

Mario Di Fiorino, Musarat Abbas, Magdieva S.S, Umamah Bint Khalid
Annals of Computer Science and Information Systems
Digital Mental Health Interventions
article

Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies

Mario Di Fiorino, Musarat Abbas, Magdieva S.S, Umamah Bint Khalid
article en

Abstract

Depression, anxiety, and stress are commonly studied in the elderly, often manifesting as a loss of interest in previously enjoyed activities, disrupted sleep patterns, and other emotional or behavioral changes.However, with rapid technological advancements, young adults particularly those between the ages of 20 and 40 are emerging as a highly vulnerable group.This demographic faces a unique psychological burden, as they attempt to navigate the cultural and generational gap between two vastly different worlds: an older generation that often resists or struggles to adapt to revolutionary technologies, and a younger generation having a grip on modern technology.This generational divide can create a sense of isolation and pressure for young adults especially those people living in developing countries where open conversations about mental health still remain stigmatized and difficult to initiate.This research aims to develop a mental health app that can evaluate depression, and stress among young adults using the DASS-21 self-assessment test and suggest a personalized intervention keeping in view the level and severity of depression and stress.For personalized interventions, upper confidence bound algorithm is used to maintain a balance between exploration and exploitation.Agent's performance and effectiveness of intervention is evaluated by a post-test.

Annals of Computer Science and Information SystemsVol. 44
Quaid-i-Azam University (PK), Politecnico di Torino (IT)
Openalex Percentile: Top 39%
Digital Mental Health Interventions
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Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies — Mario Di Fiorino, Musarat Abbas, et al. · Annals of Computer Science and Information Systems (2025) | TGRS Research Map | TGRS