Evidence map›Paper›PMID 40420087›Full record

ArticleBMC public health2025

Gender differences in the association between bullying victimization and depressive symptoms in Chinese children and adolescents.

Weidi Sun, Fang Gu, Boren Tan, Shanshan Tang, Ke Tang, Jia Meng, Yu Shen, Lei Gao, Juanjuan Li, Shiyi Shan and 4 more

Abstract read
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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 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

14 authors.

Weidi Sun *Center for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Fang Gu *Department of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Boren TanCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shanshan TangThe Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ke TangThe Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jia MengDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Yu ShenDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Lei GaoDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Juanjuan LiDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Shiyi ShanSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shuting LiSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Wenhan XiaoSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ronghua ZhangDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China. rhzhang@cdc.zj.cn.
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. peigesong@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBullying is a rising social concern and public health challenge, threatening the mental health of the youth. Existing evidence lacks comprehensive insight into the gender disparities in such association. This cross-sectional study aimed to elucidate the gender differences in the association between bullying victimization and depressive symptoms among children and adolescents.

methodsA total of 21,654 fourth-grade and above students were recruited from the annual school-based survey "China Common Disease and Risk Factor Surveillance among Students" in Zhejiang Province, China, conducted in 2021. Six forms of bullying victimization were assessed with a self-administered questionnaire and further categorized into three subtypes, including physical, verbal, and relational bullying victimization. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. A multilevel generalized linear model was employed to analyze the gender-specific association of bullying victimization (in specific forms, subtypes, and cumulative measures) with depressive symptoms. Gender differences were tested by the girls-to-boys ratios of odds ratios (RORs) and the 95% confidential intervals (CIs).

resultsThe median age of recruited children and adolescents was 15.07 years. All specific forms of bullying victimization were significantly associated with increased odds of depressive symptoms. Girls who were mocked or teased (ROR = 1.27, 95% CI = 1.05-1.56), body-shamed (ROR = 1.39, 95% CI = 1.05-1.85) and experienced the subtype of verbal bullying (ROR = 1.22, 95% CI = 1.01-1.46) exhibited greater depressive symptoms than boys. Concerning cumulative effects, girls who experienced two or more forms of bullying victimization (ROR = 1.42, 95% CI = 1.09-1.84), all three subtypes of bullying victimization (ROR = 1.89, 95% CI = 1.10-3.24) had more prominently increased odds of depressive symptoms than boys.

conclusionsBullied girls exhibited a higher susceptibility to depressive symptoms than boys with the same experience, especially when exposed to multiple bullying incidents. These findings underscore the need for developing gender-specific strategies to protect children from bullying, with an emphasis on safeguarding girls.

Indexed as

BullyingCrime VictimsDepressionAdolescentChildChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleSex FactorsSurveys and QuestionnairesBullying victimizationChildren and adolescentsDepressive symptomsGender differences

Identifiers

PMID40420087
PMCPMC12105365

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.