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Ma X, Zhang Z, Li X, Li Y. The Relationship between the Outdoor School Violence Distribution and the Outdoor Campus Environment: An Empirical Study from China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:7613. [PMID: 35805272 PMCID: PMC9265699 DOI: 10.3390/ijerph19137613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/14/2022] [Accepted: 06/17/2022] [Indexed: 12/04/2022]
Abstract
It is widely believed that outdoor environmental design contributes to outdoor violence prevention. To enhance the effectiveness of environmental design, the intrinsic link between the outdoor school violence distribution (OSVD) and the outdoor campus environment (OCE) should be fully considered. For this purpose, this study investigated boarding school L, located in southern Zhejiang Province of China, through a questionnaire and Spatial Syntax theory. Based on the questionnaire marker method (N = 338, 50.59% female), the OSVD was mapped using the kernel density estimation in ArcGIS, including four types of teacher-student conflict: verbal bullying, physical conflict, and external intrusion. The spatial analysis of the OCE (spatial configuration and spatial visibility) then was generated by the DepthmapX, involving four spatial attributes such as integration, mean depth, connectivity, and visibility connectivity. Statistical analysis results indicated the correlation between the OSVD and both the spatial configuration and spatial visibility of the OCE. For the different violence types, there were differences in the impact relationships, with integration being a significant predictor of teacher-student conflict and physical conflict (p < 0.01) and a general predictor of verbal bullying (p < 0.05), while mean depth was a significant predictor of physical conflict (p < 0.01), but not recommended as a predictor of external intrusion. This study explores and predicts the relationship between the OSVD and the OCE, providing guidance and evidence for school violence prevention environmental design. It is a novel attempt, but still challenging and requires more research to refine.
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Affiliation(s)
- Xidong Ma
- School of Architecture, Tianjin University, Tianjin 300072, China; (X.M.); (X.L.)
- Key Laboratory of Department of Culture and Tourism of Information Technology of Architectural Heritage Inheritance, Tianjin 300072, China
| | - Zhihao Zhang
- College of Architecture and Urban Planning, Tongji University, Shanghai 200082, China;
| | - Xiaojiao Li
- School of Architecture, Tianjin University, Tianjin 300072, China; (X.M.); (X.L.)
- Key Laboratory of Department of Culture and Tourism of Information Technology of Architectural Heritage Inheritance, Tianjin 300072, China
| | - Yan Li
- School of Architecture, Tianjin University, Tianjin 300072, China; (X.M.); (X.L.)
- Key Laboratory of Department of Culture and Tourism of Information Technology of Architectural Heritage Inheritance, Tianjin 300072, China
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Qian Y, Yang Y, Lin P, Xiao Y, Sun Y, Sun Q, Li X, Fei G, Stallones L, Xiang H, Zhang X. Risk Factors Associated With School Bullying Behaviors: A Chinese Adolescents Case-Control Study, 2019. JOURNAL OF INTERPERSONAL VIOLENCE 2022; 37:NP9903-NP9925. [PMID: 33261519 DOI: 10.1177/0886260520976218] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This research aimed to identify risk factors including individual characteristics and environment circumstances related to different types of school bullying (physical, relational, verbal, sexual, and possession bullying) among middle school students in China. Cases were the respondents reporting perpetrating bullying behaviors three or more times in the past year. One control was selected for each case from those participants who were not involved in school bullying in the past 12 months. Data were collected between April 2019 and May 2019 in China. After considering potential confounding variables including gender, grade level, and school, multivariable conditional logistic regression analysis was performed based on the univariate logistic analysis including 1,594 adolescents. According to conditional logistic regression analysis, alcohol use and lack of emotional management and control were the significant individual characteristics positively associated with involvement in school bullying. Alcohol use was related to all five types of school bullying perpetration. Poor relationships between family members, father's alcohol use, and parental neglect were strong risk factors for relational bullying. Lack of a sense of safety and absence of trusted people were associated with physical, relational, and verbal bullying perpetration. Results of this study provide evidence about risk factors for school bullying and have implications for potential policies to reduce bullying. Effective policies and programs need to take individual characteristics (social-emotional skills, anger control), family (parent training in conflict resolution, appropriate disciplining), peer and school factors (promoting prosocial networks, zero tolerance for bullying, appropriate disciplining policies against students who bully others, teacher training on building positive teacher-student relationships and positive discipling techniques) into consideration in order to develop effective prevention programs.
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Affiliation(s)
- Yining Qian
- Southeast University, Nanjing, Jiangsu Province, China
| | - Yaming Yang
- Yixing Center for Disease Control and Prevention, Yixing, Jiangsu Province, China
| | - Ping Lin
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, China
| | - Yue Xiao
- Yixing Center for Disease Control and Prevention, Yixing, Jiangsu Province, China
| | - Yan Sun
- Yixing Center for Disease Control and Prevention, Yixing, Jiangsu Province, China
| | - Qiannan Sun
- Southeast University, Nanjing, Jiangsu Province, China
| | - Xinyu Li
- Southeast University, Nanjing, Jiangsu Province, China
| | - Gaoqiang Fei
- Southeast University, Nanjing, Jiangsu Province, China
| | | | - Henry Xiang
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Xujun Zhang
- Southeast University, Nanjing, Jiangsu Province, China
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