Abstract Panel


Authors Information
SequenceTypeName TitleFirst NameLast NameDepartmentInstitute / Affiliation
1 Author Ms. Karishma Yasmin Anthropology Central University of Odisha
2 Author Dr. Srinivas B.K. Anthropology Central University of Odisha
3 Author Dr. Jayanta Kumar Nayak Anthropology Central University of Odisha
Abstract Information
TrackID
:
IUAES23_ABS_E5603
Abstract Theme
:
Open Panel 13
Abstract Title
:
Cardiometabolic risk factors in South Asians: a prevalence study in an urban populace of eastern India.
Short Abstract
:
This study examined the prevalence of cardiometabolic risk factors and significant predictors of cardiometabolic disease (CMD) in one of the states of Eastern India among a unique mix of ethnic urban populations experiencing changing lifestyle patterns.
Long Abstract
:

Cardiometabolic disorders (CMDs) are the world's leading cause of mortality, and cardiovascular diseases (CVDs), diabetes mellitus, and chronic renal failure are examples. Cardio-metabolic health refers to the connection between cardiovascular and metabolic illness and highlights their shared environmental, lifestyle changes, and genetic origins. CMDs are mostly triggered by an unhealthy lifestyle, with being inactive, smoking, and an improper diet being significant risk factors. Recent changes in nutrition and lifestyle in developing nations have exacerbated the burden and prevalence of CM diseases, highlighting the critical need for study in these contexts. For that purpose, the present study was done in an urban population of district Kalahandi, southwest part of Odisha, which further resides in Eastern India. It was a cross-sectional study with a multistage random sampling technique for which 529 adults of age >20 years were randomly selected from 4 major urban towns in the Kalahandi district.

An understanding of the behavioural phenotype for the cardiometabolic syndrome, as it is vital for the individual with the syndrome and for those who have the risk of getting CM illnesses, will enable health professionals to create customized intervention programmes to change the behaviour of the individual which will eventually lead to decrease in the prevalence of CMD in a population. So understanding patients' knowledge of CMD will not only improve the health education services in clinical practice, but it'll also provide improvement suggestions. Most importantly, it'll change the behaviour of the target population and households, thus changing the community. This might have the potential to alter the current pattern of disease. Exploring the risk factors in a certain population will likely enable decision-makers to take corrective action, whether to terminate, improve or continue the specific programme/intervention for the relevant area.

 

Abstract Keywords
:
Cardiometabolic disease, hypertension, Lifestyle patterns, Cardiometabolic risk factors, Diabetes