■小儿烧伤很常见,特别是在不发达国家,这些可能会影响所涉及的儿童的身体,并对他们的心理健康产生影响。本研究的目的是评估中国欠发达少数民族地区小儿烧伤的影响。
■使用调查问卷从门诊和住院诊所收集了192名儿童的病例信息。其中包括90例小儿烧伤病例和102例无烧伤儿童的对照。采用逐步logistic回归分析确定小儿烧伤的危险因素,以建立模型。使用Hosmer和Lemeshow测试以及接收器工作特性和内部校准曲线评估模型的拟合优度。然后使用列线图分析各影响因素对小儿烧伤模型的贡献。
■七个变量,包括性别,年龄,少数民族,户口簿,母亲的就业状况,母亲的教育和孩子的数量,对两组儿童进行了分析。其中,年龄,少数民族,单因素logistic回归分析发现母亲的就业状况和家庭儿童数量与小儿烧伤的发生有关(p<0.05)。共线性诊断后,对公差>0.2且方差膨胀因子<5的变量进行的多变量逻辑回归分析显示,年龄是小儿烧伤的保护因素[比值比(OR)=0.725;95%置信区间(CI):0.665~0.801].与独生子女父母相比,有两个孩子的儿童发生小儿烧伤的风险更高(OR=0.389;95%CI:0.158~0.959).儿童的少数民族和母亲的就业状况也是危险因素(OR=6.793;95%CI:2.203-20.946和OR=2.266;95%CI:1.025-5.012)。发现所使用的模型的评估是稳定的。列线图显示,儿童烧伤模型中的贡献为年龄>母亲的就业状况>儿童人数>少数民族。
■这项研究表明,有几个危险因素与小儿烧伤密切相关,包括年龄,少数民族,家庭中孩子的数量和母亲的就业状况。政府官员应通过提高对这些发现的认识来指导其预防方法来解决小儿烧伤问题。
UNASSIGNED: Pediatric burns are common, especially in underdeveloped countries, and these can physically affect the children involved and have an impact on their mental health. The aim of the present study was to assess the effect of pediatric burns in underdeveloped
minority areas of China.
UNASSIGNED: Case information from 192 children was collected from outpatient and inpatient clinics using a survey questionnaire. These included 90 pediatric burn cases and 102 controls who were children without burns. A stepwise logistic regression analysis was used to determine the risk factors for pediatric burns in order to establish a model. The goodness-of-fit for the model was assessed using the Hosmer and Lemeshow test as well as receiver operating characteristic and internal calibration curves. A nomogram was then used to analyze the contribution of each influencing factor to the pediatric burns model.
UNASSIGNED: Seven variables, including gender, age, ethnic
minority, the household register, mother\'s employment status, mother\'s education and number of children, were analyzed for both groups of children. Of these, age, ethnic
minority, mother\'s employment status and number of children in a household were found to be related to the occurrence of pediatric burns using univariate logistic regression analysis (p < 0.05). After a collinearity diagnosis, a multivariate logistic regression analysis of variables with tolerances of >0.2 and variance inflation factor <5 showed that age was a protective factor for pediatric burns [odds ratio (OR) = 0.725; 95% confidence interval (CI): 0.665-0.801]. Compared with single-child parents, those with two children were at greater risk of pediatric burns (OR = 0.389; 95% CI: 0.158-0.959). The ethnic
minority of the child and the mother\'s employment status were also risk factors (OR = 6.793; 95% CI: 2.203-20.946 and OR = 2.266; 95% CI: 1.025-5.012, respectively). Evaluation of the model used was found to be stable. A nomogram showed that the contribution in the children burns model was age > mother\'s employment status > number of children > ethnic minority.
UNASSIGNED: This study showed that there are several risk factors strongly correlated to pediatric burns, including age, ethnic minority, the number of children in a household and mother\'s employment status. Government officials should direct their preventive approach to tackling the problem of pediatric burns by promoting awareness of these findings.