Objective To explore the influencing factors of aggressive behavior in patients with bipolar disorder and to construct a nomogram prediction model.Method Eighty patients with bipolar disorder who were admitted to our hospital from March 2021 to April 2023 were selected as the research subjects.They were divided into non-aggressive and aggressive groups.Univariate analysis was performed on the data of the two groups,and factors with statistical significance were subjected to logistic regression analysis.A nomogram was drawn to determine the influencing factors of aggressive behavior in patients with bipolar disorder.Result A total of 80 patients were included,of which 28 were in the aggressive group(35.0%)and 52 were in the non-aggressive group(65.0%).The proportion of patients who lived alone for a long time,the total hospitalization time,and the proportion of patients with a history of suicidal tendencies were higher in the aggressive group than in the non-aggressive group.Moreover,the scores of ITAQ and SSRS were lower in the aggressive group(P<0.05).Multivariate logistic regres-sion analysis showed that living alone for a long time and having a history of suicidal tendencies were risk factors for aggressive behavior in patients with bipolar disorder,while high scores on ITAQ and SSRS were protective factors(P<0.05).A nomogram was constructed,which has good predictive value.Conclusion Long-term solitary living and a history of suicidal tendencies may increase the risk of aggressive behavior in patients with bipolar disorder.

ObjectiveTo explore the influence of the core symptoms of attention deficit hyperactivity disorder （ADHD） on behavioral problems of children with ADHD propensity， so as to provide references for early identification and targeted intervention for children with ADHD propensity. MethodsFrom July to August 2021， 25 children with ADHD propensity were screened as the ADHD propensity group， and 25 children matched for age， gender and grade were included as the normal group in an elementary school in Guangzhou. ADHD core symptoms were assessed by the Chinese version of the Swanson Nolan and Pelham， version IV-parent form for ADHD （SNAP-IV）， and behavioral problems were assessed by Questionnaire-Children with Difficulties （QCD） and Conners Parental Symptom Questionnaire （PSQ）. Spearman correlation analysis was used to examine the correlation between ADHD core symptoms and QCD and PSQ scores， and hierarchical linear regression analysis was used to explore the effect of ADHD core symptoms on behavioral problems. Results① The differences between the groups showed that both attention deficit and hyperactivity-impulsivity factor scores were higher in the ADHD propensity group than those in the normal group （t=7.771， 6.726， P<0.01）. ② Correlation analysis showed that the attention deficit factor score was negatively correlated with QCD total score （r=-0.440， P<0.05）， and positively correlated with the learning problem factor score of PSQ （r=0.457， P<0.05）. The score of hyperactivity-impulsivity was negatively correlated with score of anxiety factor in PSQ （r=-0.457， P<0.05）， and positively correlated with impulse-hyperactivity factor score （r=0.552， P<0.01）. ③ Hierarchical linear regression analysis showed that the attention deficit factor score negatively predicted the total score of QCD （B=-0.682， P<0.05， R²=0.468）. The hyperactivity-impulsivity factor score had a negative predictive effect on the anxiety factor score of PSQ （B=-0.048， P<0.05， R²=0.367）， and had a positive predictive effect on the impulsivity-hyperactivity factor score （B=0.077， P<0.01， R²=0.424）. ConclusionChildren with ADHD propensity have significant attention deficit symptoms， hyperactivity-impulsivity symptoms and behavioral problems， and the attention deficit may be the main cause of their daily behavioral problems， while hyperactivity-impulsivity may be the main cause of their impulsive-hyperactivity problems.