Objective To explore the status and influencing factors of occupational burnout among primary level mental health workers in Chongqing. Methods By using the method of cluster random sampling， 18 districts and counties（ Hechuan， Banan， Fuling， Jiangbei， Rongchang， Shapingba， Wuxi， Youyang， Yunyang， Wanzhou， Beibei， Nan'an， Qijiang， Wushan， Xiushan， Yuzhong， Chengkou， Jiulongpo） were randomly selected from 39 districts and counties in Chongqing city. 18 districts and counties includes 5 main urban areas， 7 poverty-stricken areas and 6 other areas（ neither main urban areas nor poverty-stricken areas）. All 500 primang mental health workers in 18 districts and counties were investigated. The general situation questionnaire and occupational burnout scale（ MBI-GS） were used to evaluate the status of occupational burnout of workers. Pearson bivariate correlation analysis and Spearman rank correlation analysis were used to analyze the correlation between occupational burnout and sociodemographic variables. Co-variance analysis was used to compare occupational burnout with different demographic characteristics， and multiple linear regression was used to analyze the influencing factors of occupational burnout. Results According to the inclusion and exclusion criteria， 478 of 500 primary mental health workers who had informed consent to participate in the study and completed the effective questionnaire， the effective rate was 95.6%.（ 1） Among the 478 mental health workers， 41.0%（ 196 cases） were mild occupational burnout， 59.0%（ 282 cases） were moderate and severe occupational burnout. Among them， 68.8%（ 329 cases） were emotional exhaustion， 48.3%（ 231 cases） were cynical， 39.5%（ 189 cases） were low sense of achievement.（ 2） Cynicism was negatively correlated with working years（ r=-0.175） and education level（ r=-0.332）. Emotional exhaustion was negatively correlated with working years（ r=-0.163） and education level（ r=-0.371）. Low sense of achievement was negatively correlated with education level（ r=-0.103）. The differences were all statistically significant（ all P＜ 0.05）.（ 3） The differences of cynicism and emotional exhaustion in different marital status（ F=11.274，11.820） and living conditions （F=24.032，34.689） were statistically significant（ all P＜ 0.05）.（ 4） Multiple linear regression analysis showed that single， remarriage， divorce， widowed marriage status were the risk factors of cynicism（ t=2.306，3.570， P＜0.01）. Living in the main urban area（ t=-5.294， P＜0.01）， higher education（ t=-4.398， P＜0.01）， and long working years of mental health prevention and treatment（ t=-2.430， P=0.015） were protective factors of cynicism； Remarriage， divorce， widowed marriage status（ t=4.063， P＜ 0.01）， long working years（ t=2.710， P=0.007） and living in other areas（ t=3.005， P=0.003） were the risk factors of emotional exhaustion. Living in the main urban area（ t=-5.917， P＜0.01）， high age（ t=-2.313， P=0.021）， higher education（ t=-5.361， P＜0.01） and long working years in intensive prevention（ t=-2.416，P=0.016） was the protective factor of emotional exhaustion； Remarriage， divorce， widowed marriage status（ t=2.074， P=0.039） and junior professional title （t=2.100， P=0.036） were the risk factors of low sense of achievement. Conclusions There are different degrees of occupational burnout among the primary level mental health workers in Chongqing， and their emotional exhaustion is more obvious. Occupational burnout is affected by many factors. Long working years and high education level have a protective effect on occupational burnout.