Evidence map›Paper›PMID 41291623›Full record

ArticleBMC public health2025

Cross-lagged analyses between peer bullying, teacher-student relationships, and non-suicidal self-injury among high school students.

Yilin Liu, Xinrui Li, Yuan Fang, Ling Yu, Yuanyuan Li, Zhaowei Teng, Yong Zeng

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Yilin LiuKey Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xinrui LiXishan campus, Yunnan University Secondary School, Kunming, Yunnan, China.
Yuan FangKey Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ling YuKey Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yuanyuan LiYunnan Hospital of Psychiatry, Kunming, Yunnan, China.
Zhaowei TengKey Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China. tengzhaowei@kmmu.edu.cn.
Yong ZengKey Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China. zengyong@kmmu.edu.cn.

Funding

Key Laboratory of Neurological and Psychiatric Disease Research of Yunnan Province 202449CE340017National Natural Science Foundation of China 82260276
6 · The paper itself

Abstract

backgroundPeer bullying is a prevalent phenomenon among high school students. This study aimed to investigate the factors that influence peer bullying among this population, along with their associations with teacher‒student relationships and NSSI. Additionally, this study seeks to propose effective preventive measures to mitigate these issues.

methodsA two-stage longitudinal study was conducted to assess the prevalence and dynamics of peer bullying, teacher-student relationships, and non-suicidal self-injury among 1,329 high school students in Yunnan Province. The study encompassed one year, from October 2021 (T1) to October 2022 (T2). A standardized questionnaire was administered at both time points to systematically gather the data. Structural equation modeling using Amos software facilitated cross-lag analyses, while bootstrap methods were employed to test for potential mediating effects in the model.

resultsGender differences were found in peer bullying and non-suicidal self-injury at both T1 and T2, with males scoring higher on bullying and females scoring higher on self-injury (all p < 0.01). Additionally, males reported poorer teacher-student relationships at T2 (p < 0.01). Cross-lagged analyses revealed that T1 non-suicidal self-injury was a negative predictor of T2 teacher-student relationships (β = -0.345, p < 0.01), while T1 teacher-student relationships negatively predicted T2 peer bullying (β = -0.040, p < 0.01) and T2 non-suicidal self-injury (β = -0.015, p < 0.05). A longitudinal mediation effect was found through teacher-student relationships between non-suicidal self-injury and peer bullying, with an indirect effect estimate of 0.014 (95% CI: 0.001 to 0.027). The mediation was full, as the direct effect from T1 non-suicidal self-injury to T2 peer bullying was not significant (β = 0.045, 95% CI: -0.088 to 0.179).

conclusionsOur study revealed complex longitudinal associations among peer bullying, teacher-student relationships, and non-suicidal self-injury in high school students. The findings indicate that earlier non-suicidal self-injury predicted higher levels of peer bullying over time, while positive teacher-student relationships were found to partially explain this link. The results suggest that teacher-student relationships may serve as a mediator in the prospective association from non-suicidal self-injury to peer bullying, highlighting the potential protective role of positive teacher-student dynamics in reducing bullying behaviors among adolescents with self-injury tendencies.

Indexed as

BullyingInterpersonal RelationsPeer GroupSchool TeachersSelf-Injurious BehaviorStudentsAdolescentChinaFemaleHumansLongitudinal StudiesMalePrevalenceSurveys and QuestionnairesCross-lagged analysesHigh school studentsNon-suicidal self-injuryPeer bullyingTeacher-student relationships

Identifiers

PMID41291623
PMCPMC12648872

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.