Evidence map›Paper›PMID 40754520›Full record

ArticleBMC psychology2025

Telecommunication technologies as a medium for music psychotherapy in educational settings.

Wei You

Abstract read
In one paragraph

Article in BMC psychology, 2025. 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

1 author.

Wei YouCollege of Music, Nanchang Institute of Technology, Nanchang, China. wei_you1988@onmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates the feasibility of using classical music to treat non-clinical depression in undergraduate students.

methodsThe large-scale depression screening was performed on a sample of 1283 full-time students using the Beck Depression Inventory (BDI). Of these participants, 21% had non-clinical depression. Individuals at high depression risk of depression were divided into two groups. The experimental group comprised 114 students (mean age 23.4 years) who received a music therapy program delivered through telecommunication technologies. This program also integrated standard therapeutic methods, such as reflection, songwriting, and dance improvisation. The control group comprised 113 students (mean age, 23.2 years) and received standard treatment (i.e., reflective listening, art therapy, and socio-psychological workshops). The group-based therapy sessions lasted 1.5 h per session for 10 weeks.

resultsThe outcomes of treatment were assessed using the Zung Self-Rating Depression Scale (SDS). Results show a reduction of depression risk in both groups. The experimental groups scored an average of 37.43 points out of a possible 80 on the SDS scale, and the control group scored 37.48 out of 80. The Mann-Whitney U-test failed to reveal any significant difference in effectiveness between the two treatment programs (p = 0.994). Music intervention requires a certified music therapist to be involved. Hence, universities may want to integrate simpler and more familiar programs like art therapy and fairy tale therapy.

conclusionsThe present findings are largely in line with similar research. This study will be of interest to specialists involved in the screening of non-clinical mental illnesses in schools and universities. The findings can also be useful to those engaged in music psychotherapy.

Indexed as

DepressionMusic TherapyTelecommunicationsAdolescentAdultFeasibility StudiesFemaleHumansMalePsychiatric Status Rating ScalesStudentsTreatment OutcomeYoung AdultDepressionMusic therapyPsychotherapySocio-psychological serviceStudents

Identifiers

PMID40754520
PMCPMC12320378

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Registered trials

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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.