Author(s) - Richa Sharma*1, Rajesh Sharma2, Ankit Paliwal3
DOI: - 10.23958/ijirms/vol02-i06/01
The approximate prevalence of the metabolic syndrome in patients with coronary heart disease (CHD) is 50%, with a prevalence of 37% in patients with premature coronary artery disease (age 45), particularly in women. With appropriate cardiac rehabilitation and changes in lifestyle (e.g., nutrition, physical activity, weight reduction, and, in some cases, Drugs), the prevalence of the syndrome can be reduced.
It is vital to understand that this measures of humans i.e. anthropometry is infact a function of total fat and its distribution in the body. This logically applies the fact that these measures would be more useful in disorders associated with abnormal fat metabolism and disorders related to its distribution. In the recent times a clustering of such metabolic abnormalities named as metabolic syndrome has emerged as an epidemic. It was described by Revan who described it as syndrome X (1988) and proposed that insulin resistance is a common denominator. He also suggested it as a cluster of metabolic abnormalities including hypoalpha - lipoprotinemia, hypertriglyceridemia, hyperinsulinemia and increased blood pressure.
It has been realized that these body measurement indices vary according to the region, race, geneticmakeup and even with age. Hence the applicability of the above mentioned factors could not be decided and different criteria based on the population based studies were considered.
With the development of imaging techniques to measure centralfat precisely and to distinguish particularly intra-abdominal(visceral) from subcutaneous fat, several studies have shownthat central fat accumulation is predictive of the featuresof the metabolic syndrome.
In clinical and epidemiological studies, obesity is stronglyassociated with all cardiovascular risk factors. However, themechanisms underlying the association between central obesity(particularly visceral obesity) and the metabolic syndrome arenot fully understood and are likely to be complex.
A number of anthropometric measures have been used as approximate measure of obesity for the evaluation of fat tissue accumulation. Obesity measures like waist circumference, body mass index, waist to hip ratio, conicity index, waist stature ratio have been used as risk factor of non-communicable disease like hypertension and dyslipidemia. However, the question regarding the best obesity measure associated with these disorder remain unresolved, one possible reason might be lack of independent comparative studies. Considering all these measures of obesity in search of the best obesity measures. It might be difficult to determine universally applicable best obesity measure associated with hypertension and dyslipidemia due to existence of biological and cultural variations.
Keywords: Diabetes, Hypertension, Dyslipidemia, Lifestyle diseases, anthropometry.
How to Cite this Article?
"Richa Sharma, Rajesh Sharma, Ankit Paliwal" ‘‘Anthropometric Profile of Diabetes Mellitus Type 2, Hypertension and Dyslipidaemia in an Outpatient Clinic of a Tertiary Care Hospital in Dehradun" International Journal of Innovative Research in Medical Science(IJIRMS), http://ijirms.in/index.php, Volume 2 Issue 5, May 2017, p. No. 779-783