Objective To analyze the cancer mortality and epidemiological characteristics of digestive system cancer in Xianyou County, Fujian Province, and to provide a scientific evidence for formulating preventive measures for digestive system cancer. Methods Excel and SPSS software were used to collect the monitoring data of digestive system cancer death in Xianyou County from 2014 to 2018, and then analyzed the mortality, the standardized rate (according to the Chinese 2000 population census) and the cause of death. Results From 2014 to 2018, the deaths of malignant tumors in Xianyou County accounted for 35.00% of all deaths. Among them, the four common digestive system malignant tumors (gastric cancer, esophageal cancer, liver cancer and colorectal cancer) accounted for 62.44% of malignant tumors. Gastric cancer ranked first and accounted for 27.36%. Average annual rate of crude mortality and standardized mortality of malignant tumor in the digestive system were 108.93/10⁵ and 89.34/10⁵, respectively, and the ratio of male to female was 2.27 to 1. Significant differences were found between town and village, as the terrain gets lower, the death rate goes down gradually. Compared with the data of 2011-2012, the standardized death rate of gastric cancer, esophageal cancer and liver cancer were reduced by 29.71%, 23.92% and 12.06%, respectively, while the rate of colorectal cancer was increased by 28.80% and the average annual growth rate was 7.83%. Conclusion Although the death rates of gastric cancer, esophageal cancer and liver cancer have decreased significantly, the malignant tumor of the digestive system is still the main disease that causes the death of residents in Xianyou County, Putian City. Therefore, it is necessary to strengthen the education of health in order to achieve the early discovery, diagnosis and treatment.

Objective: To design the self-rating scale on basic ability in graduates of preventive medicine major, and test its reliability and validity, providing a reliable tool for evaluating the basic ability of graduates. Methods: On the basis of constructing the Evaluation Index System on Basic Ability in Graduates of Preventive Medicine Major, the three-level indexes were converted to specific questions. Self-evaluation scale including 58 items, 22 sub-dimensions and 8 main dimensions were finally designed after pre-survey and expert argumentation. A total of 205 graduates of preventive medicine major from a medical college and 9 experts in the field of public health were selected to completed the questionnaire. Scale's reliability was tested by applying internal consistency reliability and composite reliability; it's validity was tested by applying content validity and confirmatory factor analysis. Results: Scale's α coefficient of internal consistency reliability was 0.976; α coefficient and combination reliability of eight main dimensions were both higher than 0.8; the content validity index S-CVI of the scale was 0.94, the content validity index I-CVI of the item level was 0.78 to 1.00; the average variance extraction amount (AVE) of the eight main dimensions was higher than 0.50. Fitting of the structural model with the item used as observation indexes was reasonable (χ²/df=1.749, RMR=0.036, RMSEA=0.061, NFI=0.801, IFI=0.904, TLI=0.904, CFI=0.903), and the sub-dimension as used observation indexes was good(χ²/df=1.876, RMR=0.032, RMSEA=0.066, NFI=0.913, IFI=0.958, TLI=0.945, CFI=0.957). Conclusion This scale is the first self-rating scale on the basic ability in graduates of preventive medicine major on the basis of the National Standards of Teaching Quality on Public Health and Preventive Medicine, with good reliability and validityl. It is able to achieve quantitative evaluation on graduates' basic abilities.

Objective:To construct a set of evaluation index system for the core ability of preventive medicine graduates to respond to sudden biological public health events.Methods:Research methods such as in-depth interviews and group discussions were used to determine the core competence structure, the Delphi method was used to conduct two rounds of expert consultation, and the index system and its weights were finally determined based on the consultation results of 21 experts on the system. Excel and SPSS 21.0 were used for data collation and statistical analysis.Results:The positive coefficient of expert consultation was greater than 80%, the authority coefficient was greater than 0.7, and the average was 0.906. The final index system was composed of 4 first-level indicators, 10 second-level indicators, and 39 third-level indicators.Conclusion:The evaluation index system can provide a reference for exploring effective ways to improve the core competence of graduates.