Effects of Internet-Based Acceptance and Commitment Therapy (IACT) on Adolescents: A Systematic Review and Meta-Analysis
Jing Wang, Shuanghu Fang*
School of Educational Science, Anhui Normal University, Wuhu, 241000, China
*
Corresponding Author: Shuanghu Fang. Email: fsh9075@163.com
International Journal of Mental Health Promotion https://doi.org/10.32604/ijmhp.2023.025304
Received 04 July 2022; Accepted 24 October 2022; Published online 24 November 2022
Abstract
Objectives: This study reviewed published randomized controlled trials (RCTs) and evaluated the efficacy of
internet-based acceptance and commitment therapy (IACT) on adolescent mental health.
Methods: Searches
were conducted in PubMed, ProQuest, APA (PsycNET/PsycINFO), and Web of Science from inception to January 2022 to identify RCTs evaluating the effects of IACT on adolescents. The included studies were assessed
for quality and risk of bias. This study was performed using the standard mean difference and associated 95%
confidence interval of effective measures. Review Manager 5.4 software was adopted to calculate the effect size.
Results: Compared to adolescents in control groups, those in the IACT groups showed some improvement in
the efficacy of depression symptoms (SMD = −0.24, 95% CI = [−0.44, −0.05],
p = 0.01) and had a small but significant effect on reducing experiential avoidance (SMD = −0.24, 95% CI = [−0.46, −0.01],
p = 0.04). However, the
effect size on anxiety did not reach the threshold (SMD = −0.18, 95% CI = [−0.27, −0.09],
p < 0.0001). In addition,
there were no significant differences in stress and well-being compared to those of the control group. Compared
with universal adolescents, IACT was found to have a more significant therapeutic effect on targeted adolescents.
Conclusions: IACT is effective in adolescent mental health interventions, but its clinical reliability and significant
efficacy are limited, and more rigorous RCTs are needed in future studies.
Keywords
Internet-based acceptance and commitment therapy; adolescents; mental health; meta-analysis