Construction of a risk prediction model for attention deficit hyperactivity disorder in children / 中国基层医药

ABSTRACT

Objective:To construct a risk prediction model for attention deficit hyperactivity disorder (ADHD) in children.Methods:A total of 1 000 children patients diagnosed with ADHD who received treatment in the Department of Pediatrics, the Third People's Hospital of Yuyao, China between January 2017 and June 2020 were included in the ADHD group. Additional 1 000 school-age children who concurrently received health examination were included in the control group. Questionnaire surveys were performed among the subjects' close relatives. The risk prediction models for ADHD were constructed.Results:Mother's irritability, abnormal emotion during pregnancy, father's history of ADHD symptoms, mother's smoking, rearing style and fetal distress were independent risk factors for ADHD. The area under the ROC curve of prediction model application was 0.929 (0.894-0.964).Conclusion:The constructed risk prediction models for ADHD have good performance in the prediction of ADHD. Children at high risk of ADHD should be followed up as early as possible. Parents' health education and parenting intervention should be strengthened to prevent the occurrence of ADHD.