Evidence map›Paper›PMID 40851306›Full record

ArticleJournal of adolescence2026

Bidirectional Associations Between Cyberbullying Victimization, Non-Suicidal Self-Injury, and Depressive Symptoms in Adolescents.

Esther Calvete, Amaya Ayala, Aitor Jiménez-Granado, Izaskun Orue

Abstract read
In one paragraph

Article in Journal of adolescence, 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Esther CalveteDepartment of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain.
Amaya AyalaDepartment of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain.
Aitor Jiménez-GranadoDepartment of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain.
Izaskun OrueDepartment of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain.

Funding

This study was supported by a grant from Basque Country (Ref. IT1532-22) and from the Spanish Government (PROEMO-RED2022-134247-T).
6 · The paper itself

Abstract

introductionThis study aimed to examine the reciprocal longitudinal relationships between cyberbullying victimization, depressive symptoms, and nonsuicidal self-injury (NSSI) during adolescence-a developmental period marked by notable increases in both depressive symptoms and NSSI behaviors. Additionally, gender differences in these associations were explored.

methodsA total of 909 Spanish adolescents (Mage = 14.64, SD = 1.62; 51.8% boys, 48.2% girls) completed measures of NSSI, cyberbullying victimization, and depressive symptoms across three waves at 3-month intervals, beginning in Autumn 2021.

resultsA random-intercept cross-lagged panel model (RI-CLPM) provided mixed evidence for the hypothesized reciprocal associations. Within-person increases in cyberbullying victimization predicted subsequent increases in depressive symptoms. In turn, elevations in depressive symptoms predicted increases in both NSSI and cyberbullying victimization. However, within-person increases in NSSI did not predict subsequent changes in the other variables. At the between-person level, NSSI and depressive symptoms were strongly associated, particularly among girls. Additionally, the pathway from depressive symptoms to cyberbullying victimization was stronger in boys than in girls.

conclusionsThese findings underscore the complex interplay between cyberbullying victimization, depression, and NSSI during adolescence. While cyberbullying victimization and depressive symptoms showed reciprocal associations, NSSI did not predict future changes in depression or victimization. Results also suggest that depressive symptoms may contribute to increased cybervictimization, particularly among adolescent boys.

Indexed as

Crime VictimsCyberbullyingDepressionSelf-Injurious BehaviorAdolescentAdolescent BehaviorFemaleHumansLongitudinal StudiesMaleSex FactorsSpainadolescentscyberbullying victimizationdepressiongendernon‐suicidal self‐injury

Identifiers

PMID40851306
PMCPMC12780655

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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.