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Zhou J, Wen P, Luo Y, Chang P, Li L. Research on the trajectory and influential factors of poly-victimization: A longitudinal study of Chinese adolescents. CHILD ABUSE & NEGLECT 2024; 153:106812. [PMID: 38696954 DOI: 10.1016/j.chiabu.2024.106812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 05/04/2024]
Abstract
BACKGROUND Poly-victimization is more detrimental to adolescents' physical and mental health than is a single type of victimization. However, there has been limited research on the trajectory of poly-victimization among Chinese adolescents. OBJECTIVE Identify the different developmental trajectories of poly-victimization among Chinese adolescents over time and examine the influencing factors of poly-victimization trajectories. METHODS Data from four surveys conducted between 2020 and 2022, encompassing a cohort of 319 adolescents who had experienced poly-victimization, were utilized to identify their developmental trajectories via group-based trajectory modeling. Potential influencing factors were screened and compared using ANOVA or chi-square tests, while factors affecting the developmental trajectories of poly-victimization were analyzed through multinomial logistic regression. RESULTS We identified three poly-victimization trajectories among adolescents: increasing poly-victimization (n = 39, 12.2 %), relieved poly-victimization (n = 228, 71.5 %), and fluctuating poly-victimization (n = 52, 16.3 %). Our findings indicate that boys, and those with poor class grade ranking, a lower level of parental education, lower household economy, smoking, drinking, suicide attempts, and suicide ideation, constitute the primary focus for the prevention and treatment of poly-victimization. CONCLUSION We identified three poly-victimization trajectories, highlighting a significant heterogeneity in poly-victimization development. Understanding the characteristics of these developmental trajectories is crucial for realizing the dynamics of different poly-victimization subgroups and informing effective interventions.
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Affiliation(s)
- Jiajun Zhou
- School of Public Health, Shantou University, Shantou 515041, China; Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
| | - Pan Wen
- School of Public Health, Shantou University, Shantou 515041, China; Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
| | - Yandong Luo
- School of Public Health, Shantou University, Shantou 515041, China; Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
| | - Ping Chang
- School of Public Health, Shantou University, Shantou 515041, China; Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou 515041, China; Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China.
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Ding H, Cao L, Xu B, Li Y, Xie J, Wang J, Su P, Wang G. Involvement in bullying and sleep disorders in Chinese early adolescents. Front Psychiatry 2023; 14:1115561. [PMID: 37181869 PMCID: PMC10172573 DOI: 10.3389/fpsyt.2023.1115561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
Background School bullying may cause sleep disorders in early adolescents. Here, we determined the relationship between school bullying (considering all the features of bullying involvement) and sleep disorders, which are the common problems in Chinese early adolescents. Materials and methods We conducted a questionnaire survey among 5,724 middle school students from Xuancheng, Hefei, and Huaibei cities in Anhui province, China. The self-report questionnaires included the Olweus Bully/Victim Questionnaire and Pittsburgh Sleep Quality Index. We used latent class analysis to identify the potential subgroups of bullying behavior. Logistic regression analysis was used to investigate the association between school bullying and sleep disorders. Results Active participants in bullying interactions, including the bullies and victims, reported higher levels of sleep disorders compared with the non-active participants [Bully: physical (aOR = 2.62), verbal (aOR = 1.73), relational (aOR = 1.80), and cyber (aOR = 2.08); Victim: physical (aOR = 2.42), verbal (aOR = 2.59), relational (aOR = 2.61), and cyber (aOR = 2.81)]. A dose-response relationship was observed between the number of school bullying types and sleep disorders. In the context of bullying roles, bully-victims had the highest risk of reporting sleep disorders (aOR = 3.07, 95% CI: 2.55-3.69). We identified four potential categories of school bullying behaviors: low involvement in bullying, verbal and relational victims, medium bully-victims, and high bully-victims, and the highest frequency of sleep disorders was observed in the high bully-victims group (aOR = 4.12, 95% CI: 2.94-5.76). Conclusion Our findings indicate a positive correlation between bullying roles and sleep disorders in early adolescents. Therefore, targeted intervention for sleep disorders should include an evaluation of bullying experiences.
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Affiliation(s)
- Han Ding
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Leilei Cao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Baoyu Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuan Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jinyu Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jun Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Puyu Su
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui, China
- *Correspondence: Puyu Su,
| | - Gengfu Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People’s Republic of China, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui, China
- Gengfu Wang,
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