An App-Based Cognitive Behavioral Therapy Program Tailored for College Students: Randomized Controlled Trial

Mind Booster Green demonstrated substantial potential as a complementary interventio to traditional psychological services for college students, providing a cost-effective and scalable solution for mental health issues. Future research should explore the applicability of this program in diverse populations.

Authors

Institutions

Publication Details

Journal
JMIR mhealth and uhealth
Published
2025-04-29
DOI
https://doi.org/10.2196/50006
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An App-Based Cognitive Behavioral Therapy Program Tailored for College Students: Randomized Controlled Trial

Kyong‐Mee Chung, Yeon-Kug Moon, Min Hee Kim
1 citations
JMIR mhealth and uhealth
Digital Mental Health Interventions
1.54
article

An App-Based Cognitive Behavioral Therapy Program Tailored for College Students: Randomized Controlled Trial

Kyong‐Mee Chung, Yeon-Kug Moon, Min Hee Kim
article en
1 citations

Abstract

Mind Booster Green demonstrated substantial potential as a complementary interventio to traditional psychological services for college students, providing a cost-effective and scalable solution for mental health issues. Future research should explore the applicability of this program in diverse populations.

JMIR mhealth and uhealthVol. 13
Yonsei University (KR), Sejong University (KR)
Quality Education
Openalex Percentile: Top 18%
Digital Mental Health Interventions
1.54
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.