Abstract: Objective To explore the effects of multiple factors on depression in patients with acute cerebral infarction. Methods A total of 352 cases of acute cerebral infarction in our hospital from January, 2014 to January, 2015 were selected and divided by gender into control and experimental group. Male patients are in the control group, and the experimental group consists of female patients. The degree of anxiety and depression mental status after the two groups of patients learned their disease (one/three month later) was evaluated by self-rating depression scale (SDS); some factors leading to depression was analyzed with single factor analysis and multivariate analysis the effect of gender on depression in patients with acute cerebral infarction was analyzed with reference to the results of single factor and multiple factors analyses. Results In one month and three months after the patients learned their disease, the SDS score of the experimental group was significantly higher than that of the control group:SDS scores of patients in the experimental group was (81. 86 ±4. 45); SDS score was (58. 48 ±4. 38). Data show that women with anxiety and depression situation is more severe than men and the two groups had statistical significance (P < 0. 05); the survey found that for the incidence of depression in patients with cerebral infarction, there is no difference in the age of the patients (P > 0. 05). Degree of education, marital status and other data have statistical significance (P < 0. 05). That except for age, economic sources, degree of culture factors may lead to the occurrence of depressive disorder in patients with acute cerebral infarction; regression analysis of depression in patients with cerebral infarction incidence found that educational level, marital status, sleep quality, physical exercise and social support are main factors for patients with depressive disorder (P < 0. 05). Conclusion The incidence of depression in women with acute cerebral infarction was greater than that of men, and the main factors were educational level, marital status, hobbies, sleep quality, physical exercise and social support for patients with depression.