Evidence map›Paper›PMID 40104326›Full record

ArticleFrontiers in psychiatry2025

Social support as a mediator between life events and non-suicidal self-injury: evidence for urban-rural moderation in medical students.

Zhumei Lin, Yiwen Zhang, Siru Kong, Qianan Ruan, Li-Li Zhu, Cheng-Han Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Zhumei Lin *Department of Psychology, Xiamen Medical College, Xiamen, China.
Yiwen Zhang *Department of Neurology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China.
Siru KongDepartment of Psychology, Xiamen Medical College, Xiamen, China.
Qianan RuanCareer Education Research Center, Wenzhou University, Wenzhou, China.
Li-Li ZhuCareer Education Research Center, Wenzhou University, Wenzhou, China.
Cheng-Han LiEmergency Department, Third Afliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-suicidal self-injury (NSSI) among medical students represents a critical public health concern, yet the protective mechanisms and their effectiveness across different demographic contexts remain poorly understood. This study investigates how social support mediates the relationship between negative life events and NSSI, while examining the moderating effect of urban-rural origins. Methods: A cluster sampling approach was employed to survey 1,130 first-year medical students (471 males, 659 females; mean age 18.15 ± 0.63 years; response rate: 98.5%) at Xiamen Medical College, including 473 urban and 657 rural students. Participants completed the Adolescent Self-Rating Life Events Checklist, Social Support Rating Scale, and Adolescent Self-Injury Questionnaire. Harman's single-factor test confirmed no significant common method bias. Hayes' PROCESS macro (Model 7) was used to test the moderated mediation model, with bootstrapping (5,000 resamples) for significance testing. Results: Correlation analysis revealed significant associations between life events and NSSI ( Conclusions: This study reveals that while social support serves as a crucial buffer against NSSI, its protective effect varies significantly between urban and rural students. Contrary to traditional resource-based assumptions, urban students demonstrated greater vulnerability to stress-induced reduction in social support. These findings suggest the need for targeted interventions that consider students' geographical backgrounds when developing support systems in medical education.

Indexed as

medical studentsmoderated mediationnon-suicidal self-injury (NSSI)social supporturban-rural differences

Identifiers

PMID40104326
PMCPMC11913803

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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.