Objective:To investigate the current situation of suicidal self-injurious behavior in teenagers and analyze its influencing factors. Methods:From January to November 2020， a stratified sampling method was used to investigate 707 teenagers in Guangdong. The “questionnaire of health-related behaviors of Chinese teenagers” compiled by the Chinese Center for Disease Control and Prevention was used anonymously to investigate the current situation of suicidal self-injurious behavior of the teenagers. The chi-square test was used for univariate analysis， and logistic regression was used for multivariate analysis. Results:The incidence rate of suicidal self-injurious behavior was 14.57% （103/707）. It was 13.31% （45/338） in males， 15.72% （58/369） in females， 13.83% （48/347） in junior high school students and 15.28% （55/360） in senior high school students. There was no statistical significance in the incidence of suicidal self-injurious behavior of teenagers between different genders， different learning stages， smoking or not， asexual behavior or not， gambling or not， and fighting or not （all P>0.05）. The incidence of suicidal self-injurious behaviors in teenagers from single parent family， drunkenness， runaway， loneliness， under great study pressure， lovelorn， and mobile phone addiction was significantly higher （χ²=13.809， 10.852， 14.279， 11.451， 12.893， 22.905， 19.473， respectively. All P<0.001）. Logistic regression analysis showed that the following were main risk factors affecting the incidence of suicidal self-injurious behavior in teenagers： single parent family （OR=3.826， 95%CI： 1.402-7.501）， drunkenness （OR=3.903， 95%CI： 1.512-7.368）， runaway （OR=3.447， 95%CI： 1.669-7.715）， loneliness （OR=3.613， 95%CI： 1.504-7.697）， great study pressure （OR=3.712， 95%CI： 1.387-7.604）， lovelorn（OR=4.125， 95%CI： 1.516-8.117） and mobile phone addiction（OR=4.027， 95%CI： 1.499-7.984 （all P<0.001）. Conclusion:The incidence of suicidal self-injurious behavior in teenagers is not low in Guangdong， and targeted measures should be developed to screen and intervene based on the influencing factors.