Evidence map›Paper›PMID 41882627›Full record

ArticleBMC public health2026

The effects of school bullying victimization on the development of adolescent depression across genders: a hierarchical linear model analysis.

Linhui Liu, Jinwei Gai, Mengdan Luo, Yan Zhang, Wenqian Zhao, Qianjin Lou, Minhuan Wu, Ke Zhao, Guohua Zhang, Lan Hong

Abstract read
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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Linhui Liu *Department of Public Health, Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, China.
Jinwei Gai *Department of Clinical Psychology, Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, China.
Mengdan Luo *School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Yan ZhangDepartment of Clinical Psychology, Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, China.
Wenqian ZhaoCixi Biomedical Research Institute, Wenzhou Medical University, Ningbo, 315302, China.
Qianjin LouSecond Clinical Medical College, Wenzhou Medical University, Wenzhou, 325035, China.
Minhuan WuRenji College, Wenzhou Medical University, Wenzhou, 325035, China.
Ke ZhaoSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China. cocozk1986@163.com.
Guohua ZhangSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China. zghcnu@wmu.edu.cn.
Lan HongDepartment of Clinical Psychology, Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, China. psyhong1601@163.com.

Funding

Major Humanities and Social Sciences Research Projects in Zhejiang Higher Education Institutions 2023QN047Wenzhou Science and Technology Bureau ZS2024001Zhejiang Provincial Medical health Project 2025KY1997Zhejiang Provincial Natural Science Foundation of China LLSQN25H090001
6 · The paper itself

Abstract

backgroundAdolescents are particularly vulnerable to depression. This longitudinal study examines gender differences in the developmental trajectories of depressive symptoms and investigates how school bullying victimization influences these trajectories across genders.

methodA total of 1,260 adolescents (58.3% female) participated in this study. Bullying victimization and depressive symptoms were measured by self-report at three waves spaced 6 months apart. We used gender as a grouping variable and fit two-level hierarchical linear models (HLM). Level 1 represented within-person change over time, while level 2 modeled between-person factors, including three types of bullying victimization.

resultsHLM results indicated that girls had a higher mean baseline level of depressive symptoms than boys. Depressive symptoms increased over time among boys (β = 0.566, p = 0.006) but decreased among girls (β = −0.618, p < 0.001). At baseline, physical bullying (β = 2.894, p = 0.001) and relational bullying (β = 2.336, p = 0.002) were associated with higher depressive symptoms in boys. In girls, relational bullying was associated with higher baseline depressive symptoms (β = 3.715, p < 0.001) and a more negative time slope (β = −1.023, p = 0.004).

conclusionThis study revealed the relationships between depression and different forms of bullying between male and female adolescents, providing insights for developing personalized strategies to reduce adolescent depression by considering individual-level factors and longitudinal changes over time.

Indexed as

BullyingCrime VictimsDepressionSchoolsAdolescentFemaleHumansLinear ModelsLongitudinal StudiesMaleSelf ReportSex FactorsAdolescentBullying victimizationDepressionGenderHierarchical Linear Model

Identifiers

PMID41882627
PMCPMC13141561

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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.