Construction of predictive models for the occurrence of autism spectrum disorder in children
Objective:To explore the risk factors of autism spectrum disorder in children and to build a prediction model,in order to provide more references for disease prevention and treatment.Method:A total of 131 children with autism spectrum disorder were included,and 107 healthy children in the same period were taken as control.Univariate and multifactorial analysis of risk factors for autism spectrum disorder in children were carried out.Predictive models for the occurrence of autism spectrum disorder in children were constructed and its efficacy was analyzed.Results:There were statistically significant differences between the autism spectrum disorder group and the control group in democratic acceptance of parenting,paternal age,paternal education level,and daily cumulative frequent contact time(P＜0.05).Multivariate analysis showed that older paternal age,longer cumulative daily frequent contact time,non-democratic parenting and paternal college education level were independent risk factors for autism spectrum disorder in children(P＜0.05).According to the father's age,daily frequent contact time,democratic acceptance of parenting,father's college education or above,the incidence of autism spectrum disorder in children was predicted by the estimated index of 31.15％,97.71％,38.85％,38.89％.Conclusion:The incidence of autism spectrum disorder in children is related to paternal age,daily cumulative frequent contact time,parenting style and paternal education level.The prediction model based on the above risk factors can accurately predict the occurrence of autism spectrum disorder in children.
万方数据
维普
