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.