Global, regional, and national burden of oral cancer and its attributable risk factors from 1990 to 2019.

BACKGROUND: This study aims to provide a theoretical basis for the prevention of oral cancer by analyzing the epidemiological trends of oral cancer. MATERIALS AND METHODS: The data on oral cancer from 1990 to 2019 were extracted from the Global Burden of Disease 2019 database. The incidence, mortality, disability-adjusted life years (DALYs), and age-standardized rate as well as attributable risk factors of oral cancer were used for the analysis. Estimated annual percentage change (EAPC) was calculated to describe the changes in age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR). RESULTS: The global ASIR of oral cancer showed an increasing trend from 1990 to 2019. ASIR in high SDI regions showed a decreasing trend during the studied period, with high SDI regions having the lowest ASMR in 2019. In 2019, the highest ASIR, ASMR, and ASDR were detected in South Asia. At the national level, Pakistan had the highest ASMR and ASDR in 2019. The increasing disease burden was observed in younger populations aged below 45 during the studied period. Smoking and alcohol use still exerted profound impacts on the oral cancer burden, with South Asia having the greatest increase in the percentage of deaths due to oral cancer attributable to chewing tobacco from 1990 to 2019. CONCLUSION: In conclusion, there is a large variability in the temporal and spatial burden of oral cancer, and it is essential for priority countries to take targeted intervention policies and measures to reduce the disease burden of oral cancer. In addition, the oral cancer burden caused by attributable risk factors should also receive close attention.

Factors that impacted mobile-payment adoption in China during the COVID-19 pandemic.

The Unified Theory of Acceptance and Use of Technology (UTAUT) is a potential paradigm for explaining technology adoption and can be applied to a wide range of scenarios. During the COVID-19 (C-19) outbreak in China, mobile-payment platforms (Mpayment) were used extensively in everyday life because they allowed people to avoid direct and indirect connections during transactions, adhere to social-distancing guidelines, and support social-economic stabilization. By exploring the technological and psychological variables that influenced user Mpayment-adoption intentions during the C-19 pandemic, this study broadens the literature on technology adoption in emergency circumstances and expands the UTAUT. A total of 593 complete samples were collected online, with SPSS used for data analysis. The empirical findings reveal that performance expectancy, trust, perceived security, and social influence all had a significant influence on Mpayment acceptance during the C-19 outbreak, with social distancing having the greatest impact, followed by fear of C-19. Interestingly, perceived-effort expectancy had a negative influence on payment acceptance. These findings suggest that future studies should apply the expanded model to different countries and areas to investigate the impact of the C-19 pandemic on Mpayment acceptance.