RESUMO
Objective: Aim of the study is to predict trends in morbidity and mortality due to breast cancer in 42 LMICs between 2020 and 2050. Design: and Setting: National level cross-sectional breast cancer related data between 1990 and 2019 were used. Recurrent Neural Network, Long-Short-Term Memory (RNN-LSTM) model was employed to forecast the trend in breast cancer burden. Main outcomes and measures: Age standardized breast cancer incidence, mortality, and disability adjusted life years (DALYs) rates. Results: By 2050, the age standardized breast cancer incidence rate is expected to increase in 38 LMICs with highest incidence rate in Namibia; 127.0 (78.0-176.0) followed by Nigeria 71.1 (53.9-88.3) and Papua New Guinea 70.6 (88.7-74.6). Similarly, the age standardized breast cancer mortality and DALYs rates in 2050 are expected to increase in 33 and 35 LMICs respectively. The highest mortality and DALYs rates in 2050 are expected to be 64.7 (42.6-86.7) in Namibia and 1543.6 (1463.1-1624.1) in Pakistan. The estimated annual percentage change (EAPC) is expected to increase uniformly in all the countries during the same period. Due to considerable variation in exposure risk, such as high plasma glucose level, high body mass index (BMI) and socio-demographic index (SDI), high regional disparity in burden of breast cancer is expected among the countries. Conclusion: and Relevance: Breast cancer burden is expected to increase in most of the LMICs with high regional disparity by 2050. Our study's finding focuses on LMICs with high breast cancer burden that require tailored strategies and effective action plans to ensure prevention from catastrophic consequences in the future. Minimizing the exposure to behavioral and metabolic risk factors such as high plasma glucose, high BMI, along with tackling the issue of low fertility rate would be important in managing breast cancer burden in LMICs.
RESUMO
OBJECTIVE: The current study aimed to predict disability-adjusted life years (DALY) rate in Japan through 2040 with plausible future scenarios of fruit intake for neoplasms, cardiovascular diseases (CVD) and diabetes and kidney diseases (DKD). DESIGN: Data from National Health and Nutrition Surveys and the Global Burden of Diseases study in 2017 were used. We developed an autoregressive integrated moving average model with four future scenarios. Reference scenario maintains the current trend. Best scenario assumes that the goal defined in Health Japan 21 is achieved in 2023 and is kept constant afterwards. Moderate scenario assumes that the goal is achieved in 2040. Constant scenario applies the same proportion of 2016 for the period between 2017 and 2040. SETTING: DALY rates in Japan were predicted for the period between 2017 and 2040. PARTICIPANTS: Population aged more than than 20 years old. RESULTS: In our reference forecast, the DALY rates in all-ages group were projected to be stable for CVD and continue increasing for neoplasms and DKD. Age group-specific DALY rates for these three disease groups were forecasted to decrease, with some exceptions. Among men aged 20-49 years, DALY attributable to CVD differed substantially between the scenarios, implying that there is a significant potential for reducing the burden of CVD by increasing fruit intake at the population level. CONCLUSIONS: Our scenario analysis shows that higher fruit intake is associated with lower disease burden in Japan. Further research is required to assess which policies and interventions can be used to achieve an increase in fruit intake as modelled in the scenarios of the current study.