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 regression 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.