Objective:To estimate the economic burden of 14 chronic diseases among middle-aged and elderly people in China.Methods:This cross-sectional study was based on longitudinal data from five waves (2011 to 2020) of the China Health and Retirement Longitudinal Study (CHARLS). Participants aged 45 and over who had been diagnosed with exactly one target chronic disease were included in the study. The 14 chronic diseases included: hypertension, dyslipidemia, diabetes or elevated blood glucose, malignant tumors, chronic pulmonary diseases, liver diseases, heart diseases, stroke, kidney diseases, digestive system diseases, emotional and mental diseases, memory-related diseases, arthritis or rheumatic diseases, and asthma. The economic burden of disease was measured in terms of both direct and indirect economic burden, with the results adjusted using a healthcare-specific Consumer Price Index (CPI). The direct economic burden included direct medical and non-medical burden. The human capital method was employed to calculate the indirect economic burden. A generalized linear mixed model (GLMM) was conducted to compare the differences in the economic burden between urban and rural areas, with provinces and prefecture-level cities set as random effects and residence (urban or rural areas) as fixed effects to control for the effects of geographic hierarchical structure. Gender, age and educational attainment were also included as covariates to control for confounding factors. The model′s robustness was assessed by comparing the significance of urban-rural differences before and after adding the covariates.Results:The median annual economic burden of the 14 chronic diseases among the middle-aged and elderly population in China ranged from 7 565 to 17 174 CNY, of which the direct economic burden ranged from 6 909 to 16 565 CNY, and the indirect burden ranged from 284 to 1 276 CNY. The direct economic burden was primarily driven by direct medical burden (83.67% to 95.01% of direct economic burden). Out-of-pocket expenses for outpatient medical burden ranged from 50% to 100%, while those for inpatient ranged from 36.30% to 61.29%. GLMM analysis revealed no statistically significant difference in the overall economic burden between urban and rural areas across diseases. However, the burden of inpatient medical burden for arthritis or rheumatism was higher in urban areas than in rural areas (5 338 vs. 3 898 CNY; LR=6.04, P=0.014). Similarly, the burden of self-treatment for hypertension was also higher in urban areas than in rural areas (324 vs. 238 CNY; LR=8.30, P=0.004). The outpatient non-medical burden for diabetes or elevated blood glucose (59 vs. 149 CNY; LR=5.99, P=0.014), stroke (0 vs. 307 CNY; LR=4.55, P=0.033), and digestive system diseases (45 vs. 107 CNY; LR=9.58, P=0.002) was lower in urban areas than rural. Conclusions:Chronic diseases cause heavy economic burden on middle-aged and elderly people in both urban and rural areas of China, with direct economic burden accounting for the majority of expenditure. The outpatient medical burden accounts for a higher proportion of out-of-pocket expenses than the inpatient.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

Objective:To estimate the economic burden of 14 chronic diseases among middle-aged and elderly people in China.Methods:This cross-sectional study was based on longitudinal data from five waves (2011 to 2020) of the China Health and Retirement Longitudinal Study (CHARLS). Participants aged 45 and over who had been diagnosed with exactly one target chronic disease were included in the study. The 14 chronic diseases included: hypertension, dyslipidemia, diabetes or elevated blood glucose, malignant tumors, chronic pulmonary diseases, liver diseases, heart diseases, stroke, kidney diseases, digestive system diseases, emotional and mental diseases, memory-related diseases, arthritis or rheumatic diseases, and asthma. The economic burden of disease was measured in terms of both direct and indirect economic burden, with the results adjusted using a healthcare-specific Consumer Price Index (CPI). The direct economic burden included direct medical and non-medical burden. The human capital method was employed to calculate the indirect economic burden. A generalized linear mixed model (GLMM) was conducted to compare the differences in the economic burden between urban and rural areas, with provinces and prefecture-level cities set as random effects and residence (urban or rural areas) as fixed effects to control for the effects of geographic hierarchical structure. Gender, age and educational attainment were also included as covariates to control for confounding factors. The model′s robustness was assessed by comparing the significance of urban-rural differences before and after adding the covariates.Results:The median annual economic burden of the 14 chronic diseases among the middle-aged and elderly population in China ranged from 7 565 to 17 174 CNY, of which the direct economic burden ranged from 6 909 to 16 565 CNY, and the indirect burden ranged from 284 to 1 276 CNY. The direct economic burden was primarily driven by direct medical burden (83.67% to 95.01% of direct economic burden). Out-of-pocket expenses for outpatient medical burden ranged from 50% to 100%, while those for inpatient ranged from 36.30% to 61.29%. GLMM analysis revealed no statistically significant difference in the overall economic burden between urban and rural areas across diseases. However, the burden of inpatient medical burden for arthritis or rheumatism was higher in urban areas than in rural areas (5 338 vs. 3 898 CNY; LR=6.04, P=0.014). Similarly, the burden of self-treatment for hypertension was also higher in urban areas than in rural areas (324 vs. 238 CNY; LR=8.30, P=0.004). The outpatient non-medical burden for diabetes or elevated blood glucose (59 vs. 149 CNY; LR=5.99, P=0.014), stroke (0 vs. 307 CNY; LR=4.55, P=0.033), and digestive system diseases (45 vs. 107 CNY; LR=9.58, P=0.002) was lower in urban areas than rural. Conclusions:Chronic diseases cause heavy economic burden on middle-aged and elderly people in both urban and rural areas of China, with direct economic burden accounting for the majority of expenditure. The outpatient medical burden accounts for a higher proportion of out-of-pocket expenses than the inpatient.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.