Evidence map›Paper›PMID 42482738›Full record

ArticleFrontiers in psychology2026

Effectiveness of virtual reality-based intervention for adolescent depressive disorder: a randomized controlled trial protocol.

Junqiang Zhao, Zhongnan Gong, Zhan Yin, Qianhui Zhai, Linlin Luo, Lina Wang, Fang Yan, Ying Niu, Junlei Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Junqiang ZhaoThe First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Zhongnan GongSchool of Nursing, Henan Medical University, Xinxiang, Henan, China.
Zhan YinThe First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Qianhui ZhaiSchool of Medical Engineering, Henan Medical University, Xinxiang, Henan, China.
Linlin LuoSchool of Nursing, Henan Medical University, Xinxiang, Henan, China.
Lina WangSchool of Nursing, Henan Medical University, Xinxiang, Henan, China.
Fang YanThe Second Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Ying NiuSchool of Nursing, Henan Medical University, Xinxiang, Henan, China.
Junlei ZhangThe Second Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of depressive disorders among adolescents has been increasing in recent years, significantly impairing emotional development and social functioning. Although conventional treatments, including pharmacotherapy and psychotherapy, have demonstrated effectiveness, limitations such as poor adherence and restricted therapeutic settings remain. Virtual reality (VR) technology, which provides immersive and interactive environments, has shown promising potential in the treatment of mental disorders. However, high-quality evidence regarding its effectiveness in adolescents with depressive disorders remains limited. Methods: Protocol version 1.0, January 2026. This study is designed as a single-center, parallel-group randomized controlled trial. A total of 72 adolescents with depressive disorder who meet the eligibility criteria will be recruited and randomly assigned in a 1:1 ratio to either the intervention group or the control group. Participants in the control group will receive usual care, while those in the intervention group will receive additional VR-based intervention for 4 weeks (three sessions per week, approximately 25 min per session). Assessments will be conducted at baseline (T0), post-intervention (T1), and follow-up (T2). The primary outcome is the change in the 24-item Hamilton Depression Rating Scale (HAMD-24) score from T0 to T1. Secondary outcomes include the Hamilton Anxiety Rating Scale-14 (HAMA-14), Children's Depression Inventory (CDI), Montreal Cognitive Assessment (MoCA), and heart rate variability (HRV) parameters (SDNN, RMSSD, LF, HF, and LF/HF). Data will be analyzed using linear mixed-effects models under the intention-to-treat principle. Discussion: This study will systematically evaluate the clinical effectiveness of VR-based intervention in adolescents with depressive disorder, as well as its impact on emotional symptoms, cognitive function, and autonomic nervous system activity. The findings are expected to provide evidence-based support for the application of VR technology in adolescent mental health care. Trial registration: https://www.chictr.org.cn, ChiCTR2500114846.

Indexed as

adolescent depressive disordercognitive functionheart rate variabilityrandomized controlled trialvirtual reality

Identifiers

PMID42482738
PMCPMC13385189

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.