ObjectiveTo analyze the variation trend of high low density lipoprotein cholesterol (LDL-C) attribution disease burden in China from 1990 to 2019. MethodsThe burden of disease indicators from Global Burden of Disease 2019 (GBD 2019), such as death attributable to high LDL-C, disability-adjusted life years (DALYs), years of life lost (YLLs), and years lost to disability (YLDs) were extracted. The age was standardized using GBD 2019 global standard population, and the trend of rates with the annual percentage change (APC) was analyzed. ResultsFrom 1990 to 2019, the disease burden of high LDL-C increased with age in China. The mortality rate, DALYs rate and YLLs rate of males were higher than those of females, while the YLDs rate of males was lower than that of females. Joinpoint regression results showed that from 1990 to 2019, the high LDL-C attribution mortality rate (APC=3.4%, P<0.05), DALYs rate (APC=2.4%, P<0.05), YLLs rate (APC=2.4%, P<0.05), YLDs rate (APC = 2.9%, P<0.05), the standardized mortality rate (APC=0.8%, P<0.05) and the standardized YLDs rate (APC=0.7%, P<0.05) all increased in China. Regarding age, the mortality rate, DALYs rate and YLLs rate increased in the age group over 70 years old, while the YLDs rate increased significantly in the age group over 45 years old. ConclusionFrom 1990 to 2019, the burden of disease attributable to high LDL-C in China has become increasingly heavy, and the burden varies according to gender and age.
ObjectiveTo analyze the prevalence of muscle and tendon injuries in Chinese from 2005 to 2019. MethodsUsing Joinpoint regression model and age-time-cohort model, the average annual percent change (AAPC) was used to analyze the incidence of muscle and tendon injury in Chinese from 2005 to 2019. The influence of age, period and birth cohort on the incidence of muscle and tendon injury was analyzed by sex. ResultsFrom 2005 to 2019, the incidence of muscle and tendon injury in Chinese residents increased (AAPC=2.0%, P<0.05), and the AAPC of females was higher than that of males (AAPC values were 2.1% and 1.9%, respectively, P<0.05). The results of age-time-cohort model showed that the age effect, period effect and cohort effect coefficient were statistically significant. The age effect and cohort effect coefficient fluctuated, and the period effect coefficient increased continuously. The period effect is dominant in three effects. ConclusionThe incidence of muscle and tendon injuries in Chinese residents has increased rapidly. Children aged 5 to 9, people aged 20 to 29 and elderly women aged 85 to 94 are the key groups.
Objective To analyze the effects of hyperuricemia (HUA) on the prevalence of dyslipidemia in the elderly. MethodsA total of 5 990 elderly people with complete and important variables from the China Health and Retirement Longitudinal Study (CHARLS) public database in 2015 were extracted. Their blood lipids, related physiological and biochemical indices, and basic demographic information were collected. The effects of HUA on the prevalence of dyslipidemia in the elderly were analyzed using the probit model, and empirical analysis was performed using the propensity score matching method (PSM). Results Among the 5 990 subjects, 13.6% of the elderly had HUA and the prevalence of dyslipidemia was 37.5%. After correcting the endogeneity among variables, the probability of dyslipidemia in elderly patients with HUA increased by 9.5%-11.7% (P<0.01), in which the probability of high triglyceridemia (TG), high total cholesterol (TC), high low-density lipoprotein cholesterol (LDL-C), and low high-density lipoprotein cholesterol (HDL-C) increased by 10.4%-11.5% (P<0.01), 2.7%-3.8% (P<0.01), 1.7%-2.3% (P<0.05), and 4.3%-4.9% (P<0.05), respectively. Conclusion HUA is associated with various types of dyslipidemia, among which its relationship with high TG and low HDL-C is strong. Targeted interventions should be taken for elderly HUA patients, aiming to reduce the rate of dyslipidemia and promote the goal of "healthy ageing" in China.