Departamento Académico de Enfermería, Universidad Nacional Mayor de San Marcos, Lima, Perú.
Escuela de Posgrado, Universidad María Auxiliadora, Lima, Perú.
Rev Peru Med Exp Salud Publica. 2020 Oct-Dec;37(4):627-635. doi: 10.17843/rpmesp.2020.374.5154. Epub 2021 Feb 3.
To identify factors associated with attitudes towards violence (ATV) in schoolchildren from public educational institutions (EI) located in marginal urban areas of Metropolitan Lima in 2019.
Observational, descriptive and transversal study. The sample was made up of adolescents from 10 mixed-gender EIs enrolled between the sixth grade of primary school and the third year of secondary school. The questionnaire of attitudes towards violence (CAHV-25) was used. During the bivariate analysis, the Spearman Correlation Coefficient, the Mann-Whitney U test and the Kruskal-Wallis H test with Dunn's post-hoc adjusted by Bonferroni were used. To determine the associated factors, multivariate analysis was performed using negative binomial regression model.
45.1% of the schoolchildren were female and 87.3% received information on school bullying. In the bivariate analysis, statistically significant differences were found between the ATV scores and age (p = 0.003), sex (p < 0.001), having a social network account (p = 0.009) and year of study (p < 0.001); however, in the multivariate model, the factors associated with the total ATV scores were age (p = 0.012) and sex (p < 0.001).
The factors associated with ATV in schoolchildren from public EIs were age and sex, these findings would indicate the need to consider the gender perspective in the analysis of school violence and differentiate interventions according to age.
在 2019 年,确定与利马都会区边缘城市公立教育机构(EI)中在校儿童暴力态度(ATV)相关的因素。
这是一项观察性、描述性和横断面研究。该样本由来自 10 所男女混合性别 EI 的青少年组成,他们在小学六年级至中学三年级之间入学。使用了暴力态度问卷(CAHV-25)。在进行双变量分析时,使用了 Spearman 相关系数、Mann-Whitney U 检验和 Kruskal-Wallis H 检验,同时对 Bonferroni 进行了 Dunn 事后调整。为了确定相关因素,使用负二项回归模型进行了多变量分析。
45.1%的学生为女性,87.3%的学生接受过有关学校欺凌的信息。在双变量分析中,ATV 评分与年龄(p=0.003)、性别(p<0.001)、拥有社交网络账户(p=0.009)和学习年份(p<0.001)之间存在统计学显著差异;然而,在多变量模型中,与总 ATV 评分相关的因素是年龄(p=0.012)和性别(p<0.001)。
与公立 EI 中在校儿童 ATV 相关的因素是年龄和性别,这些发现表明需要在学校暴力分析中考虑性别视角,并根据年龄进行差异化干预。