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Injury-Related Profiles among School-Aged Children in Cameroon: Analysis Based on the “First Survey—Health Young People”

机译:喀麦隆学龄儿童中与伤害有关的资料:基于“首次调查-健康的年轻人”的分析

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摘要

Aims: Establish profiles of young “at risk” of injuries, first, on an overall point of view and, secondly, for some types of injuries (sport, home, road traffic, school and work injuries). Methods: We have taken nearly 50 variables into consideration: 17 variables for construction of the socioeconomic status, 9 variables for the investigation of symptoms, 11 concerning drugs, 5 for healthy habits, 3 for investigating the violence behavior, 4 concerning the school, 3 for subjective health and finally 3 for social network. We have used the principal component analysis, the multiple correspondence analysis and the weighted-frequency score for reducing the number of them. After these reductions, 15 variables were available for analyses. The relationship between injuries and investigated factors was assessed using the Pearson’s chi-square test. We also calculated odds ratio (OR) with their 95% confidence intervals (95%CI) to estimate the strengths of the associations. To further assess these relationships but also for taking into account the potentials confounding effects of some variables, logistic regression model and multinomial logistic regression model were applied. Results: The whole injury prevalence was equal to 45.6% and among the injured, the proportion of the several types was equal to 33.8% for sport injuries, 32.2% for home injuries, 16.6% for traffic injuries, 11.6% for school injuries and 5.7% for work injuries. We can say that, in light of the variables studied, the “at risk” profile for having reported an injury is being a boy, being younger, having drug experiences, with the violent profile, and declaring several symptoms. There are no consistent and marked deviations in this study from the findings obtained in previous studies. Conclusion: Analyzing injuries in general is interesting but for preventing them it is important to know in which activities children and students are engaged when they are injured.
机译:目的:首先,从总体角度确定年轻人“处于危险中”的概况,其次,针对某些类型的伤害(体育,家庭,道路交通,学校和工作伤害)进行建立。方法:我们考虑了近50个变量:用于构建社会经济地位的变量17个,用于调查症状的变量9个,与毒品有关的11个,与健康习惯有关的5个,对暴力行为进行调查的3个,与学校有关的4个,3个用于主观健康,最后3用于社交网络。我们使用主成分分析,多重对应分析和加权频率得分来减少它们的数量。这些减少后,有15个变量可用于分析。伤害与调查因素之间的关系使用Pearson卡方检验进行了评估。我们还计算了95%置信区间(95%CI)的比值比(OR),以估算关联强度。为了进一步评估这些关系,同时考虑到某些变量的潜在混杂效应,应用了逻辑回归模型和多项式逻辑回归模型。结果:整体伤害发生率等于45.6%,在受伤者中,几种类型的比例分别为:运动伤害为33.8%,家庭伤害为32.2%,交通伤害为16.6%,学校伤害为11.6%,5.7 %为工伤。我们可以说,根据研究的变量,报告受伤的“处于危险中”的特征是男孩,年轻,有吸毒经历,暴力特征,并表现出几种症状。与以前的研究结果相比,本研究没有一致和明显的偏差。结论:一般而言,分析伤害很有趣,但是对于预防伤害而言,重要的是要了解儿童和学生受伤时从事的活动。

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