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https://www.selleckchem.com/products/pf-07321332.html 57, C.I = 1.25 - 24.65) among people with poor SES compared to higher SES. A significant correlation was observed between BMI, LDL cholesterol ( = -16.0; = 0.009) and HDL cholesterol ( = 18.0; = 0.006) with socioeconomic status. The study finds that for individuals who were overweight the odds of systolic blood pressure (AOR = 2.11, C.I = 1.03-4.31), fasting blood sugar (AOR = 3.84, C.I = 1.30 -11.32), triglyceride level, (AOR = 2.20, C.I = 1.18 - 4.09) high-density lipoprotein ( AOR = 2.63, C.I = 1.26 - 5.46) were significantly higher compared to normal BMI individuals. The study showed that the socioeconomic patterning of the population is significantly associated with NCD risk factors. Obesity was closely linked with several major NCD risk factors. The study showed that the socioeconomic patterning of the population is significantly associated with NCD risk factors. Obesity was closely linked with several major NCD risk factors.Death certificate data is used to monitor local, regional and national mortality trend and is helpful in improving public health as well as public safety. Accurate and reliable information about the cause of death in a population is useful for understanding disease burden estimation and trends in the health of populations; moreover, the information provided by such data is vital in terms of public health planning as well. With the continuous upsurge in mortality due to coronavirus disease 19 (COVID-19), mortality analysis could be valuable in addressing the current pandemic and implementing the epidemic control strategies effectively and efficiently. Given that COVID-19 death certification substantially affects the local and national responses towards disease prevention and transmission, the importance of the accuracy and quality of information in these certificates cannot be understated. Hence, accurate death certification related to COVID-19 is vital to understand the extent and progr

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