DIGITAL INTERVENTIONS FOR ADOLESCENT DEPRESSION AND ANXIETY: NARRATIVE REVIEW AND FUTURE DIRECTIONS

Introduction: Adolescence is a critical developmental stage during which individuals are particularly vulnerable to mental health challenges, including depression and anxiety. Despite their high prevalence, access to traditional mental health care remains limited for many adolescents. Purpose of the study: This narrative review aims to synthesize current evidence regarding the effectiveness of digital interventions—such as mobile applications, internet-based cognitive behavioral therapy (iCBT), conversational AI, gamified tools, and peer-support platforms—in reducing symptoms of depression and anxiety among adolescents. Materials and methods: A comprehensive literature review was conducted, including 35 peer-reviewed studies and systematic reviews published between 2015 and 2025. Sources were identified using PubMed and Scopus databases, focusing on digital mental health tools targeting individuals aged 10–24 years. Conclusions: Digital mental health interventions show promising efficacy in addressing adolescent depression and, to a lesser extent, anxiety. Evidence supports their potential for increased accessibility, user engagement, and stigma reduction. However, gaps remain in standardization, cultural adaptation, and long-term evaluation. Further research should address these limitations and guide the integration of digital tools into youth mental health care systems.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Technologies in Social Science
Published
2025-09-24
DOI
https://doi.org/10.31435/ijitss.3(47).2025.3879
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIGITAL INTERVENTIONS FOR ADOLESCENT DEPRESSION AND ANXIETY: NARRATIVE REVIEW AND FUTURE DIRECTIONS

Marta Miejska-Kamińska, Izabella Sośniak, Ewa Szczęsna, Lidia Jurczenko
International Journal of Innovative Technologies in Social Science
Digital Mental Health Interventions
article

DIGITAL INTERVENTIONS FOR ADOLESCENT DEPRESSION AND ANXIETY: NARRATIVE REVIEW AND FUTURE DIRECTIONS

Marta Miejska-Kamińska, Izabella Sośniak, Ewa Szczęsna, Lidia Jurczenko
article en

Abstract

Introduction: Adolescence is a critical developmental stage during which individuals are particularly vulnerable to mental health challenges, including depression and anxiety. Despite their high prevalence, access to traditional mental health care remains limited for many adolescents. Purpose of the study: This narrative review aims to synthesize current evidence regarding the effectiveness of digital interventions—such as mobile applications, internet-based cognitive behavioral therapy (iCBT), conversational AI, gamified tools, and peer-support platforms—in reducing symptoms of depression and anxiety among adolescents. Materials and methods: A comprehensive literature review was conducted, including 35 peer-reviewed studies and systematic reviews published between 2015 and 2025. Sources were identified using PubMed and Scopus databases, focusing on digital mental health tools targeting individuals aged 10–24 years. Conclusions: Digital mental health interventions show promising efficacy in addressing adolescent depression and, to a lesser extent, anxiety. Evidence supports their potential for increased accessibility, user engagement, and stigma reduction. However, gaps remain in standardization, cultural adaptation, and long-term evaluation. Further research should address these limitations and guide the integration of digital tools into youth mental health care systems.

International Journal of Innovative Technologies in Social ScienceVol. 4(3(47))
Military Hospital (PK), Krakow Cardiovascular Research Institute (PL), University of Rzeszów (PL)
Openalex Percentile: Top 71%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.