New Delhi, 16 June (IANS). According to a new Artificial Intelligence (AI) -based study, the reason for the increase in cases of rheumatoid arthritis (RA) since 1980 is the reason for increasing aging population and smoking.
Rumetoid arthritis is a chronic autoimmune disease that causes joint pain, inflammation and stiffness.
The study published in ‘Annals of the Rheumatic Disease’ reveals the increasing inequality in socio-economic inequalities and disease burden. The study found that cases of rheumatoid arthritis in different areas are increasing in different ways due to aging, increase in population and uneven health facilities.
The study analyzed 953 global and local places data from 1980 to 2021, which was taken from the Global Burden of Disease (GBD). It used a new deep learning model. Conclusions showed that the global burden of rheumatoid arthritis has increased continuously during this period, especially in the youth.
Inequality related to the incompetent life year (DALY), especially since 1990, increased by 62.55 percent. Finland, Ireland and New Zealand were the most inequality countries in 2021.
The study also found that economic factors do not determine the burden of disease alone. Re areas with high socio-economic index (SDI), such as Japan and UK, have different disease burden. Despite high SDI in Japan, DALY rates decreased, which may be the result of early treatment, comprehensive use of biological remedies, and anti -inflammatory diet.
Researchers led by Curan Lynn, a leading researcher at the Imperial College, London, said, “By the year 2040, DALY may increase due to aging and population increase in low-medium SDI areas, while it may decrease in high SDI areas.”
Research reported that smoking control may reduce 16.8 percent in deaths due to rheumatoid arthritis in high smoking areas (eg China) and 20.6 percent in DALY.
Researchers warned that many areas still lack the data required for accurate health policies and targeted interventions.
-IANS
MT/AS
