Objective To understand the incidence and mortality of malignancies as well as tumor burden of Shouyang County, Shanxi Province in 2012. Methods According to the review methods and the standards from the National Cancer Registry, the data of the incidence and mortality of malignant tumors in Shouyang County in 2012 were collected, collated and statistically analyzed. Results There were 389 new malignancies cases of Shouyang County in 2012, including 210 males and 179 females. The incidence rate was 187.61/100000 (190.00/100000 in males and 184.88/100000 in females). There were 263 death cases , including 164 males and 99 females. The mortality rate was 126.84/100000 (148.38/100000 in males and 102.25/100000 in females). The top 10 incidence of malignancies of the whole county was followed by lung cancer, cervical cancer, gastric cancer, liver cancer, colorectal anal cancer, esophageal cancer, breast cancer, bladder cancer, gallbladder cancer and uterus cancer, accounting for 86.12 ％ of the overall malignant cancers. The top 10 death malignancies of the whole county was followed by lung cancer, liver cancer, gastric cancer, esophageal cancer, Hodgkin disease, leukemia, colorectal cancer, bone cancer, brain tumor and pancreatic cancer, accounting for 87.45 ％ of the overall malignant cancers. Conclusion Lung cancer ranks first in the incidence and mortality of malignant tumors of Shouyang County, Shanxi Province, and the prevention and control of major tumors should be strengthened.

Objective To evaluate the validity, reliability, and acceptability of the scale of knowledge, attitude, and behavior of lifestyle intervention in a diabetes high-risk population (HILKAB), and provide scientific evidence for its usage. Methods By convenient sampling, we selected 406 individuals at high risk for diabetes for survey using the HILKAB. Pearson correlation coefficient, factor analysis, independent sampling, and t-test for high-and low-score groups were used to evaluate the content validity, construct validity, and discriminant validity of the scale. Reliability of the scale was evaluated by internal consistency, which included Cronbach'sαcoefficient,θcoefficient,Ωcoefficient, and split-half reliability. Scale acceptability was evaluated by acceptance rate and completion time of the survey. Results In this study, 366 questionnaires (90.1%) was qnalified and the completion time was (8.62 ± 2.79) minutes. Scores for knowledge, attitude, and behavior were 10.60±3.73, 26.56±3.58, 17.09±9.74, respectively. The scale had good face validity and content validity. The correlation coefficient of items and the dimension to which they belong was between 0.25 and 0.97, and the correlation coefficient of three dimensions and the entire scale was between 0.64 and 0.91, all with P<0.001. Factor analysis of the scale extracted eight common factors. The cumulative variance contribution rate was 65.23%, thereby reaching the 50% approved standard. Of 30 items there were 29 items with factor loadings ≥0.40, indicating the scale had good construct validity. For the high-score group, scores for knowledge, attitude, and behavior dimensions were 13.89±2.55, 29.56± 2.46, 28.05 ± 2.93, respectively, which were higher than those for the low-score group (7.67 ± 2.78, 23.89 ± 3.35, 6.25 ± 3.13); t-values were 55.14, 119.40, 95.29, respectively, with P<0.001. The scale consisted of three dimensions: knowledge, attitude, and behavior. The Cronbach's α coefficient was between 0.84 and 0.92, the θ coefficient was between 0.85 and 0.96, the Ω coefficient was between 0.90 and 0.94, and the split-half reliability was between 0.77 and 0.95, reaching the 0.70 standard letter. Conclusion The validity, reliability, and acceptability of the HILKAB scale were satisfactory for use in a population at high risk of diabetes.

Objective To evaluate the validity, reliability, and acceptability of the scale of knowledge, attitude, and behavior of lifestyle intervention in a diabetes high-risk population (HILKAB), and provide scientific evidence for its usage. Methods By convenient sampling, we selected 406 individuals at high risk for diabetes for survey using the HILKAB. Pearson correlation coefficient, factor analysis, independent sampling, and t-test for high-and low-score groups were used to evaluate the content validity, construct validity, and discriminant validity of the scale. Reliability of the scale was evaluated by internal consistency, which included Cronbach'sαcoefficient,θcoefficient,Ωcoefficient, and split-half reliability. Scale acceptability was evaluated by acceptance rate and completion time of the survey. Results In this study, 366 questionnaires (90.1%) was qnalified and the completion time was (8.62 ± 2.79) minutes. Scores for knowledge, attitude, and behavior were 10.60±3.73, 26.56±3.58, 17.09±9.74, respectively. The scale had good face validity and content validity. The correlation coefficient of items and the dimension to which they belong was between 0.25 and 0.97, and the correlation coefficient of three dimensions and the entire scale was between 0.64 and 0.91, all with P<0.001. Factor analysis of the scale extracted eight common factors. The cumulative variance contribution rate was 65.23%, thereby reaching the 50% approved standard. Of 30 items there were 29 items with factor loadings ≥0.40, indicating the scale had good construct validity. For the high-score group, scores for knowledge, attitude, and behavior dimensions were 13.89±2.55, 29.56± 2.46, 28.05 ± 2.93, respectively, which were higher than those for the low-score group (7.67 ± 2.78, 23.89 ± 3.35, 6.25 ± 3.13); t-values were 55.14, 119.40, 95.29, respectively, with P<0.001. The scale consisted of three dimensions: knowledge, attitude, and behavior. The Cronbach's α coefficient was between 0.84 and 0.92, the θ coefficient was between 0.85 and 0.96, the Ω coefficient was between 0.90 and 0.94, and the split-half reliability was between 0.77 and 0.95, reaching the 0.70 standard letter. Conclusion The validity, reliability, and acceptability of the HILKAB scale were satisfactory for use in a population at high risk of diabetes.