ObjectiveTo analyze the disease burden of prostate, bladder and kidney cancers attributable to smoking in China from 1990 to 2019. MethodsBased on the global burden of disease study 2019, the current situation of the disease burden of prostate, bladder and kidney cancers attributable to smoking was analyzed by using the population attributable fraction (PAF), deaths and disability-adjusted life years (DALYs). Furthermore, the annual percent change (APC) and the average annual percent change (AAPC) were calculated by joinpoint regression analysis to describe the long-term trends of the smoking-attributable burden of these three cancers from 1990 to 2019. ResultsThere were an estimated 18 800 cases of deaths and 393 106 person-years of DALYs for bladder cancer caused by smoking in 2019. The age-standardized mortality and DALY rate decreased by 0.41% and 0.39% per year from 1990 to 2019, respectively. For prostate cancer, smoking was estimated to have caused 5 016 cases of deaths and 98 276 person-years of DALYs in 2019. The age-standardized mortality and DALY rate decreased by 0.28% and 0.25% per year from 1990 to 2019, respectively. For kidney cancer, the deaths and DALYs attributable to smoking were 4 935 cases and 120 620 person-years, respectively. The standardized mortality and DALY rates increased by 3.03% and 2.98% per year from 1990 to 2019. Additionally, males suffered from a higher disease burden of these three cancers attributable to smoking than females. The elderly population had a higher smoking-attributable disease burden than the younger population. ConclusionThe situation of the disease burden of bladder, prostate and kidney cancers attributable to smoking is still serious in China, which has substantial disparities in different groups. Specifically, males and the elderly are the high-risk groups for the smoking-attributable burden. Among the three cancers, bladder cancer has the highest burden and kidney cancer has the largest burden increase during 1990-2019.
ObjectiveTo analyze the global pattern, long-term trends, and regional and population heterogeneity in the burden of 375 diseases and injuries and 88 risk factors from 1990 to 2023 using data from the Global Burden of Disease Study 2023 (GBD 2023). MethodsPublicly available GBD 2023 estimates were extracted for incidence, deaths, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life years (DALYs), and age-standardized rates at the global level and by socio-demographic index (SDI), GBD region, age group, and sex. Descriptive analysis, ranking comparison, stratified analysis, and trend analysis were performed, and 95% uncertainty interval was used to assess the stability of estimates. ResultsIn 2023, non-communicable diseases were the leading contributor to global DALYs, accounting for 64.39% of DALYs across the three major disease and injury groups (communicable, maternal, neonatal, and nutritional diseases, non-communicable diseases, and injuries), and also had the highest age-standardized DALYs rate. From 1990 to 2023, age-standardized DALYs rates declined for three major disease and injury groups, with estimated annual percentage changes of ?2.69%, ?0.78%, and ?1.47%, respectively. Cardiovascular diseases ranked first by both DALYs and deaths in 2023, whereas respiratory infections and tuberculosis ranked first by incidence. Non-communicable diseases were the leading cause of disease burden across all SDI strata. As the SDI level declined, the burden of communicable, maternal, neonatal, and nutritional diseases, as well as injuries, increased markedly. Behavioral and metabolic risks remained the main contributors to attributable deaths and DALYs. ConclusionFrom 1990 to 2023, the global burden of disease continues to shift toward non-communicable diseases; however, some regions still face a double burden of infectious, maternal and child, injury-related, and chronic diseases. Integrating deaths, DALYs, YLLs, YLDs, and risk-attributable burden helps identify priority areas for prevention and resource allocation across regions and populations.