Objective:To explore the influencing factors of job burnout of medical staff and provide reference for the formulation of intervention measures.Methods:From November to December, 2018, a questionnaire survey was conducted among medical staff in a general hospital by using the research design of the current situation survey. A total of 1193 questionnaires were distributed and 939 questionnaires were returned, with a recovery rate of 78.7%, including 891 valid questionnaires and an effective recovery rate of 94.9%. Social support rating scale (SSRs) was used to evaluate social support, and Maslach Burnout Scale (MBI-GS) was used to evaluate job burnout. Single factor analysis was performed by chi square test and Fisher exact probability method. To explore the influencing factors of job burnout by using disordered multi classification logistic.Results:The average age was (27.47 ± 4.22) years old, female accounted for 71.5% (637/891) . The total physical examination rate of job burnout was 46.6%. The scores of emotional exhaustion, cynicism and decreased sense of achievement were (10.10±3.75) , (6.14±3.43) , (17.91±4.13) respectively. Multiple logistic regression analysis showed that, compared with the non detected job burnout, the young, working for 1-3 years, average sleep ≤6 hours, and poor social support were more likely to have mild job burnout ( OR=0.91, 0.40, 2.25, 2.38, P<0.05) ; female, high night shift frequency in the past year, average sleep ≤6 h. Those with poor social support were more likely to have moderate to severe job burnout ( OR=1.59, 2.94, 4.01, 2.40, 3.66, P<0.05) . Conclusion:Corresponding measures should be taken to reduce job burnout and improve work efficiency.

Objective:To explore the influencing factors of job burnout of medical staff and provide reference for the formulation of intervention measures.Methods:From November to December, 2018, a questionnaire survey was conducted among medical staff in a general hospital by using the research design of the current situation survey. A total of 1193 questionnaires were distributed and 939 questionnaires were returned, with a recovery rate of 78.7%, including 891 valid questionnaires and an effective recovery rate of 94.9%. Social support rating scale (SSRs) was used to evaluate social support, and Maslach Burnout Scale (MBI-GS) was used to evaluate job burnout. Single factor analysis was performed by chi square test and Fisher exact probability method. To explore the influencing factors of job burnout by using disordered multi classification logistic.Results:The average age was (27.47 ± 4.22) years old, female accounted for 71.5% (637/891) . The total physical examination rate of job burnout was 46.6%. The scores of emotional exhaustion, cynicism and decreased sense of achievement were (10.10±3.75) , (6.14±3.43) , (17.91±4.13) respectively. Multiple logistic regression analysis showed that, compared with the non detected job burnout, the young, working for 1-3 years, average sleep ≤6 hours, and poor social support were more likely to have mild job burnout ( OR=0.91, 0.40, 2.25, 2.38, P<0.05) ; female, high night shift frequency in the past year, average sleep ≤6 h. Those with poor social support were more likely to have moderate to severe job burnout ( OR=1.59, 2.94, 4.01, 2.40, 3.66, P<0.05) . Conclusion:Corresponding measures should be taken to reduce job burnout and improve work efficiency.

Objective:To explore the association between sleep duration, sleep quality and the prevalence of hypertension in the elderly aged 65 years and above.Methods:This study was conducted among the elderly in communities in Yiwu, China from April to July, 2019, and participants were recruited through physical examination in the hospital. Face-to-face interview was performed to obtain basic information. Sleep duration and sleep quality were evaluated by Pittsburgh Sleep Quality Index (PSQI). Associations between sleep duration, sleep quality and hypertension were evaluated by multivariate logistic regression analysis.Results:A total of 3 169 elderly persons, aged ≥65 years old, were included in the study. The overall prevalence of hypertension was 50.8%. The elderly with very poor sleep quality and short sleep duration accounted for 22.4% and 28.5%, respectively. After adjusting for demographic characteristics, socioeconomic status, lifestyle and health status, the OR of hypertension for the elderly with very poor sleep quality was 1.42 (95% CI: 1.12-1.80) compared with those with very good sleep quality. Compared with the elderly with sleep duration of 6-7 h a night, the OR of hypertension for those with sleep duration <6 h was 1.37 (95% CI: 1.15-1.65). As the sleep quality decreased, the risk for hypertension increased. An U-shaped association was found between sleep duration and risk of hypertension. Subgroup analyses showed that this association existed in both men and women, but only significant in the elderly aged <75 years. Conclusion:Poor sleep quality and short sleep duration were associated with risk for hypertension in the elderly.

Objective: To explore the correlation between obesity and the risk of colorectal adenoma, so as to provide theoretic evidence for the intervention of the high-risk population for colorectal cancer. Methods: Based on the Screen Project of Early Diagnosis and Treatment of Colorectal Cancer in Jiashan County, from August 2012 to March 2018, the results of colonoscopy and body measurement information of the high-risk population for colorectal cancer were collected. According to the results of colonoscopy, 3 895 patients with colorectal adenoma and 11 232 healthy controls were enrolled. Multivariate logistic regression was used to analyze the correlation between overweight (body mass index (BMI) 24.0 to 27.9 kg/m²), obesity (BMI≥28.0 kg/m²) and the risk of colorectal adenoma. Results: After adjusting for gender and age, compared with that of individuals with normal weight (BMI 18.5 to 23.9 kg/m²), the risk of colorectal adenoma of obese patients increased by 36% (odds ratio (OR)=1.36, 95% confidence interval (CI) 1.18 to 1.56). After stratifing by gender, compared with that of individuals with normal weight, the risk of colorectal adenoma of obese males increased by 30% (OR=1.30, 95%CI 1.07 to 1.59), the risk of colorectal adenoma of overweight females and obese females increased by 15% (OR=1.15, 95%CI 1.01 to 1.31) and 40% (OR=1.40, 95%CI 1.14 to 1.71), respectively. After stratifing by age, compared with that of individuals with normal weight, the risk of colorectal adenoma of obese patients aged between 40 and 59 years increased by 31% (OR=1.31, 95%CI 1.07 to 1.61), and the risk of colorectal adenoma of overweight and obese patients aged between 60 and 74 years increased by 13% (OR=1.13, 95%CI 1.01 to 1.27) and 39% (OR=1.39, 95%CI 1.15 to 1.70), respectively. The results of subgroup analysis according to pathological types indicated that the risk of non-advanced adenoma and advanced adenoma of obese patients increased by 35% (OR=1.35, 95%CI 1.16 to 1.57) and 39% (OR=1.39, 95%CI 1.06 to 1.83), respectively. Conclusions Obesity is correlated with colorectal adenoma, which is more significant in women, individuals aged between 60 and 74 years and advanced adenoma. The intervention of high-risk population for colorectal cancer should include body mass control.