1.Prevalence of cardiometabolic multimorbidity (CMM) in Chinese middle-aged and elderly population and the associated factors of cognitive function in CMM patients
Wenting FENG ; Ye PAN ; Weili SHI ; Zhihui LIU ; Liangxing DAN ; Liuyi WANG
Chinese Journal of General Practitioners 2025;24(1):62-69
Objective:To investigate the prevalence of cardiometabolic multimorbidity (CMM) in Chinese middle-aged and elderly population, and the associated factors of cognitive function in CMM patients.Methods:It was a cross-sectional study. Data of demographic characteristics, lifestyle, chronic disease, and cognitive function in middle-aged and elderly subjects were obtained from the Harmonized CHARLS D version 2015 database, subjects with emotional and psychiatric disorders and memory-related disorders, and those with missing chronic disease data were excluded. The factors associated with cognitive function in CMM patients were analyzed with generalized linear regression model.Results:A total of 15 007 respondents aged (61.07±9.70) years were included in the analysis, 7 338 (48.9%) of whom were males. There were 3 303 cases of CMM with a prevalence rate of 22.01%, and the proportion of females was 54.9% (1 814/3 033), and the proportion of males was 45.1% (1 489/3 033). Generalized linear regression analysis showed that age, educational level, place of residence, depressive symptoms were correlated with cognitive function scores of CMM patients (all P<0.05). Conclusion:The prevalence rate of CMM in middle-aged and elderly people in China is higher, and age, education level, place of residence, depressive symptoms are associated with cognitive function in CMM patients.
2.Prevalence of cardiometabolic multimorbidity (CMM) in Chinese middle-aged and elderly population and the associated factors of cognitive function in CMM patients
Wenting FENG ; Ye PAN ; Weili SHI ; Zhihui LIU ; Liangxing DAN ; Liuyi WANG
Chinese Journal of General Practitioners 2025;24(1):62-69
Objective:To investigate the prevalence of cardiometabolic multimorbidity (CMM) in Chinese middle-aged and elderly population, and the associated factors of cognitive function in CMM patients.Methods:It was a cross-sectional study. Data of demographic characteristics, lifestyle, chronic disease, and cognitive function in middle-aged and elderly subjects were obtained from the Harmonized CHARLS D version 2015 database, subjects with emotional and psychiatric disorders and memory-related disorders, and those with missing chronic disease data were excluded. The factors associated with cognitive function in CMM patients were analyzed with generalized linear regression model.Results:A total of 15 007 respondents aged (61.07±9.70) years were included in the analysis, 7 338 (48.9%) of whom were males. There were 3 303 cases of CMM with a prevalence rate of 22.01%, and the proportion of females was 54.9% (1 814/3 033), and the proportion of males was 45.1% (1 489/3 033). Generalized linear regression analysis showed that age, educational level, place of residence, depressive symptoms were correlated with cognitive function scores of CMM patients (all P<0.05). Conclusion:The prevalence rate of CMM in middle-aged and elderly people in China is higher, and age, education level, place of residence, depressive symptoms are associated with cognitive function in CMM patients.
3.ANOM in the optimization for promotion appraisal of hospital head nurses
Jingjing XIONG ; Zhen HE ; Liangxing SHI ; Juntao FANG ; Tianzhi YU
Chinese Journal of Hospital Administration 2013;29(4):300-305
Promotion of outstanding people to head nurses is key to hospital nursing management.In view of the current shortcomings in the analysis of appraisal data and the interpretation of appraisal results,the analysis of means(ANOM)method is introduced to the process of hospital human resource management.The proposed method aims to solve the problem when the score differences between interviewers are great and the score differences between candidates are small.An example for head nurses' promotion appraisal in a hospital is offered to demonstrate that statistical tools can provide the decision support for hospital personnel selection.Finally,the application differences between ANOM and analysis of variance(ANOVA) in human resources appraisal are compared.

Result Analysis
Print
Save
E-mail