Evidence map›Paper›PMID 42293929›Full record

ArticleFrontiers in psychology2026

Havruta-structured dialogue as a social-emotional competence intervention: multi-stakeholder evidence on university students' mental health.

Lingyun Deng, Fengni Yang, Binghao Guo, Ling Luo

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Lingyun DengCollege of Education, Kookmin University, Seoul, Republic of Korea.
Fengni YangGuangzhou City Construction College, Guangzhou, China.
Binghao GuoCollege of Education, Kookmin University, Seoul, Republic of Korea.
Ling LuoCollege of Education, Kookmin University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study evaluated the preliminary efficacy of a Havruta-structured dialogue program in enhancing university students' social-emotional competence (SEC) and mental health. Methods: Ninety-five students were randomly assigned to either a Havruta intervention group ( Results: Compared with the control group, participants in the Havruta group showed significantly greater reductions in depressive symptoms, anxiety, and perceived stress, along with significantly greater improvements in psychological wellbeing and SEC, with benefits maintained through follow-up. Reliable change analysis further indicated a significantly higher proportion of clinically meaningful responders in the intervention group. Exploratory mediation analyses provided preliminary evidence consistent with SEC gains as one plausible intermediary associated with improved mental health outcomes. Exploratory trajectory analyses suggested heterogeneous response patterns, with baseline distress, loneliness, and dialogue-process quality emerging as candidate correlates of differential improvement. Triangulated data from multiple stakeholders further supported the intervention's feasibility, engagement, and perceived process features within the present university context. Discussion: Overall, these findings suggest promising preliminary effects in a modestly sized university sample; however, larger fully powered randomized trials are needed to confirm the exploratory secondary findings, establish generalizability, and determine whether broader implementation is warranted.

Indexed as

Havruta dialoguemental healthpsychological wellbeingsocial–emotional competencestructured dialogueuniversity students

Identifiers

PMID42293929
PMCPMC13253753

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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.