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Case-control study of student-perpetrated physical violence against educators

机译:学生对教育者实施的人身暴力的案例对照研究

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Purpose: Although prior research focused primarily on student-on-student school violence, educators are also at risk. This study was designed to identify risk factors for assaults against educators. Methods: Kindergarten-grade 12 educators (n = 26,000), randomly selected from a state license database, were screened for eligibility (6,469, eligible) by mailed questionnaire. Phase 1 (12-month recall) identified eligible assault cases (n = 372) and controls (n = 1,116), June 2004 to December 2005; phase 2 (case-control study; response, 78%) enabled identification of exposures through 1-month recall before student-perpetrated assaults (cases) and randomly selected months (controls). Directed acyclic graphs enabled confounder selection for multivariable logistic regression analyses; reweighting adjusted for potential biases. Results: Risks (odds ratios, 95% confidence intervals) increased for working in: Special Education (5.84; 4.07-8.39) and School Social Work (7.18; 2.72-18.91); kindergarten to second grade (1.81; 1.18-2.77); urban (1.95; 1.38-2.76) schools; schools with less than 50 (8.40; 3.12-22.63), 50-200 (3.67; 1.84-7.34), 201-500 (2.09; 1.32-3.29), and 501-1000 (1.94; 1.25-3.01) students versus more than 1000; schools with inadequate resources always/frequently (1.62; 1.05-2.48) versus infrequentlyever; inadequate building safety always/frequently (4.48; 2.54-7.90) versus infrequentlyever; and environments with physical barriers (1.50; 1.07-2.10). Risks decreased with routine locker searches (0.49; 0.29-0.85) and accessible exits (0.36; 0.17-0.74). Conclusions: Identification of assault risk factors provides a basis for further investigation and interventions.
机译:目的:尽管先前的研究主要针对学生对学生的学校暴力行为,但教育工作者也面临风险。本研究旨在确定攻击教育者的危险因素。方法:通过邮寄问卷调查从州许可证数据库中随机选择的幼儿园级12名教育工作者(n = 26,000)进行资格筛选。第一阶段(12个月的召回)确定了2004年6月至2005年12月的合格袭击案件(n = 372)和控制措施(n = 1,116);第2阶段(案例对照研究;回应率为78%)可以通过在学生实施攻击(案例)和随机选择的月份(对照)之前的1个月召回来识别暴露。有向无环图使混杂因素选择成为多变量逻辑回归分析;重新调整了权重以适应潜在的偏差。结果:在特殊教育(5.84; 4.07-8.39)和学校社会工作(7.18; 2.72-18.91)中工作的风险(几率,95%置信区间)增加;幼儿园到二年级(1.81; 1.18-2.77);城市(1.95; 1.38-2.76)学校;少于50人(8.40; 3.12-22.63),50-200(3.67; 1.84-7.34),201-500(2.09; 1.32-3.29)和501-1000(1.94; 1.25-3.01)的学校1000;总是/频繁(1.62; 1.05-2.48)资源不足的学校与不经常/从来没有资源的学校;总是/频繁(4.48; 2.54-7.90)与不经常/从来没有足够的建筑物安全;以及具有物理障碍的环境(1.50; 1.07-2.10)。通过常规的储物柜搜索(0.49; 0.29-0.85)和可访问的出口(0.36; 0.17-0.74),风险降低。结论:攻击风险因素的识别为进一步调查和干预提供了基础。

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