Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.

Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.

ObjectiveTo construct and evaluate the transformation model of the Constitution in Chinese Medicine Questionnaire （CCMQ） to SF-6Dv1 health utility and broaden the applications of CCMQ. MethodsThe data of CCMQ and SF-6Dv1 were collected from 595 participants at baseline， 3 months and 6 months after the comprehensive intervention suitable for the corresponding traditional Chinese medicine （TCM） constitution. The estimation and validation datasets were constructed， and four statistical algorithms including the ordinary least squares （OLS）， MM robust regression （MM）， censored least absolute deviations （CLAD） and the Tobit model were used to create alternative models. The mean absolute error （MAE）， root mean square error （RMSE） and intraclass correlation coefficient （ICC） were used to evaluate the prediction performance of the model. ResultsThe constitution scores of all TCM constitutions by CCMQ was significantly correlated with the SF-6Dv1 health utility value measured at three timepoints； the health utility value of the SF-6Dv1 was positively correlated with gentleness type （r=0.596， r=0.578， r=0.606， all P＜0.05） and negatively correlated with eight unbalanced constitutions （r=-0.586~-0.301， all P＜0.05）. The MM established based on the subscale scores of CCMQ was the optimal mapping model， and the MAE， RMSE， and ICC values were 0.0741， 0.0930 and 0.766， respectively. Gentleness type， qi-deficiency type， phlegm-wetness type， qi-constraint type， and age were the primary factors included in the model. The measured and predicted value of SF-6Dv1 had a moderate positive correlation （r=0.673， r=0.617， P＜0.05） and a good consistency as shown by the Bland-Altman plot. ConclusionBy using MM， the CCMQ can be transformed into SF-6Dv1 health utility value for health economics analysis.

ObjectiveTo present the health status of traditional Chinese medicine （TCM） constitutions more intuitively and comprehensively based on improved radar chart. MethodsParticipants who completed a 26-week comprehensive intervention based on TCM constitution from February 2013 to January 2014 in Zhuhai branch of Guangdong Provincial Hospital of Chinese Medicine were included in the study. They were divided into groups according to gender and age， i.e. young， middle-aged， and elderly male and female groups. TCM constitution scale and health survey short form （SF-36） were used to evaluate the 9 basic TCM constitution types and quality of life at three time points， including pre-intervention （T1）， at 13-week intervention （T2）， and at 26-week intervention （T3）. The improved radar charts were drawn to visually present the comprehensive evaluation results on the health status of 9 TCM constitutions， and graphic features （area S value， perimeter L value） were extracted to construct a comprehensive health index for TCM constitutions （H value）. Spearman correlation analysis was used to analyze the correlation between H value and SF-36 total score. ResultsAmong the included 509 participants， there were 45 elderly male， 76 elderly female， 60 middle-aged male， 140 middle-aged female， 53 young male and 135 young female. The radar charts for comprehensive evaluation of TCM constitution health status showed that the total areas for all groups increased at T3 compared to T1， with the most significant increase in the young population. In the middle-aged population， the fan-shaped areas of certain constitutions decreased at T2 than T1. At T3， the radar chart shapes for females were more balanced than males in the same age group. By calculating the features of function graphs， it was found that the S， L， and H values for the elderly population were relatively higher than those for the middle-aged and young population with the same gender， and the young population increased by highest ratio. The values measured at T3 compared to T1 showed average increase of 26% for S value （11% for the middle-aged and 14% for the elderly）， 22% for L value （10% for the middle-aged and the elderly each）， and 22% for H value （10% for the middle-aged and 9% for the elderly）. The female had lower S and L values， as well as higher H value than the male of the same age group measured at T3. The correlation coefficient between the H value of all participants and the total SF-36 score was 0.662 （P＜0.01）. ConclusionThe comprehensive evaluation model for the health status of TCM constitution based on the improved radar chart constructed in this study can present the health status of TCM constitutions and intervention effectiveness more comprehensively and intuitively. It is suggested to regulate the constitution in pursuit of the dynamic balance of the constitution health status， as well as consider the parts from the whole， and put focus on the balance of nine TCM constitutions.