Objective:To understand the characteristics of faculty in high-level public health schools in China, and analyze the differences in age, area and school level.Methods:Based on the internet information, the faculty information of 18 high-level public health schools was collected for a descriptive analysis on faculty characteristics.Results:There were 1 642 faculty members in the schools of public health in China, in whom 51.8% were women, 92.8% had doctorate, 32.4% had postdoctoral experience and 56.8% were former students staying to teach. The average age of the faculty members was (45.6±9.8) years. Meanwhile the top three study subjects were epidemiology and health statistics (31.0%), occupational health and environmental sanitation (16.5%), and health toxicology (16.3%). In the faculty members aged >40 years, 90.2% had doctorate, 62.6% were former students staying to teach, and 24.7% had no educational background of public health. The proportions of faculty members aged ≤40 years in the three groups mentioned above were 98.2%, 45.8% and 39.1% respectively. In terms of study subject, big data study were mainly conducted in the schools with top subject ranking and the schools in developed areas.Conclusions:The public health faculty was characterized by cross education background and high capability. The study subjects and sub-disciplines varied with schools and areas.

Objective:To understand the characteristics of faculty in high-level public health schools in China, and analyze the differences in age, area and school level.Methods:Based on the internet information, the faculty information of 18 high-level public health schools was collected for a descriptive analysis on faculty characteristics.Results:There were 1 642 faculty members in the schools of public health in China, in whom 51.8% were women, 92.8% had doctorate, 32.4% had postdoctoral experience and 56.8% were former students staying to teach. The average age of the faculty members was (45.6±9.8) years. Meanwhile the top three study subjects were epidemiology and health statistics (31.0%), occupational health and environmental sanitation (16.5%), and health toxicology (16.3%). In the faculty members aged >40 years, 90.2% had doctorate, 62.6% were former students staying to teach, and 24.7% had no educational background of public health. The proportions of faculty members aged ≤40 years in the three groups mentioned above were 98.2%, 45.8% and 39.1% respectively. In terms of study subject, big data study were mainly conducted in the schools with top subject ranking and the schools in developed areas.Conclusions:The public health faculty was characterized by cross education background and high capability. The study subjects and sub-disciplines varied with schools and areas.

Objective:To identify the prevalence of multimorbidity among a Chinese population, analyze the risk of all-cause mortality with different multimorbidity patterns, and the impact of exercise on the risk of multimorbidity-related mortality and life lost.Methods:The study was based on 437 408 MJ Health Management Center participants. The classification decision tree was used to explore multimorbidity patterns composed of hypertension, diabetes, chronic kidney disease (CKD), and chronic obstructive pulmonary disease (COPD). The Cox proportional hazards model was used to calculate the all-cause mortality hazard ratio ( HR) for different multimorbidity patterns. Using Chiang's life table method, years of life lost were the difference in life expectancy for those with and without multimorbidity. Results:The prevalence rate of multimorbidity was 8.7%. Among multivariate patterns, the most common ones were "hypertension+CKD" (3.6%), "hypertension + diabetes + CKD" (1.1%) and "hypertension+diabetes+CKD+COPD" (0.1%). Compared with a healthy population, patterns with the highest mortality risk were "diabetes+CKD" ( HR=3.80, 95% CI: 3.45-4.18), "diabetes+CKD+COPD" ( HR=4.34, 95% CI: 3.43-5.49) and "hypertension+ diabetes+CKD+COPD" ( HR=4.75,95% CI:4.15-5.43). Through low-intensity and moderate to high-intensity exercise, the increased HRs were attenuatedcompared with the inactive population. People with single disease and multimorbidity shortened life by 4.6 and 13.4 years, while exercise attenuated 2.3 and 4.6 years of life lost, of which low-intensity and moderate to high-intensity exercise saved 1.5 and 3.7 years of life lost due to chronic diseases. Conclusions:Multimorbidity patterns based on "diabetes + CKD" cause the highest mortality risk, and physical activity in reducing mortality was significant for either with or without multimorbidity. Higher exercise intensity leads to a greater relative reduction of mortality risk.