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find Keyword "Joinpoint regression analysis" 1 results
  • Disease burden and attributable risk factors of breast cancer in Chinese females from 1990 to 2019

    ObjectiveTo analyze the latest epidemiological status of breast cancer in China, trends in morbidity and mortality from 1990 to 2019, and related prognostic risk factors.MethodsData on incidence and mortality of Chinese female breast cancer, their related age-standardized rates (ASRs) from 1990 to 2019, and attributable risk factors were obtained from the Global Burden of Disease (GBD) database, and data on disability-adjusted life years (DALYs) of 34 provinces in China were obtained from literature. Joinpoint regression analysis was used to analyze the trends of ASRs. The exposure levels of each attributable risk factor and the increased cancer burden were analyzed.ResultsThe incidence of breast cancer in Chinese females increased annually, from 17.07/100 000 in 1990 to 35.61/100 000 in 2019, while the mortality rate initially increased and decreased, and then exhibited an upward trend after 2016 and there was no obvious variation from 1990 (9.16/100 000) to 2019 (9.02/100 000). Among the 34 provinces of China, Shandong Province had the most serious breast cancer burden, while Macao Special Administrative Region had the lowest. Among the seven prognostic risk factors, high body mass index (BMI) contributed the most to the breast cancer burden and the exposure risk of a diet high in red meat had shown a significant increasing trend in the past 30 years. Therefore, the disease burden caused by a high red meat diet would be increasing.ConclusionsThe incidence rate of breast cancer in Chinese females is increasing. With the development of social economy and the change of people’s dietary habits, the breast cancer burden in China trends to become heavier and heavier. Therefore, it is necessary to conduct the "three early" prevention and treatment and advocate healthy and reasonable diet and living habits to reduce the burden of breast cancer to improve prognosis and quality of life.

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