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find Keyword "Joinpoint model" 2 results
  • The trend of muscle and tendon injuries in China from 2005 to 2019: an age-time-cohort analysis

    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.

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  • Trends in the disease burden of esophageal cancer attributable to alcohol consumption in China from 1990 to 2019 and a gender comparison analysis

    Objective To integrate and analyze the disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019, along with the differences between genders, and predict the trends in disease burden changes from 2020 to 2029 to improve prevention and treatment strategies. Methods The disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019 was extracted and integrated from the 2019 Global Burden of Disease (GBD) database, and the corresponding trend was analyzed using the Joinpoint regression model with Joinpoint 4.9.1.0 software. The gray prediction model [GM (1, 1) ] was used to forecast the disease burden of alcohol-related esophageal cancer in China from 2020 to 2029. Results In 2019, the leading causes of esophageal cancer in China were tobacco, alcohol, high body mass index, and insufficient fruit and vegetable intake, accounting for the first to fifth positions in esophageal cancer deaths. From a gender perspective, in 2019, the death number and standardized mortality rate for males were 18.97 times and 20.00 times higher than for females, respectively. The disability-adjusted life years (DALYs) and standardized DALYs rate for males were 33.08 times and 24.78 times higher than those for females, respectively, indicating a heavier disease burden of alcohol-related esophageal cancer among Chinese males. From 1990 to 2019, the average annual percentage change (AAPC) in deaths and DALYs due to alcohol-related esophageal cancer in China was 2.08% and 1.63%, respectively, showing a continuous upward trend with statistical significance (P<0.05). The AAPC values for standardized mortality rate and standardized DALYs rate from 1990 to 2019 were –0.92% and –1.23%, respectively, showing a continuous downward trend with statistical significance (P<0.05). The population aged ≥55 years was the main group bearing the disease burden among all age groups from 1990 to 2019. The gray prediction model predicted that by 2029, the overall standardized mortality rate and standardized DALYs rate would decrease to 2.94/100 000and 67.94/100 000, with a greater decline in females than in males. Conclusion Over the past 30 years, the disease burden of alcohol-related esophageal cancer in China has slightly decreased. However, the reduction in disease burden is still lower compared to the overall decline in esophageal cancer burden, and the disease burden for males is significantly higher than for females. Focusing on prevention and treatment for males and the elderly population remains a major issue in addressing alcohol-related esophageal cancer in China.

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