ASSESSMENT OF CARDIOMETABOLIC RISK FACTORS AMONG LOCAL POPULATION OF NATIONAL CAPITAL REGION

Authors

  • Preeti Sharma Department of Biochemistry, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India
  • Pradeep Kumar Department of Biochemistry, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India
  • Rachna Sharma Department of Biochemistry, TSM Medical College and Hospital, Lucknow, Uttar Pradesh, India.
  • Satya Prakash Department of Biochemistry, B. R. D. Medical College, Gorakhpur, Uttar Pradesh, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10i8.18588

Keywords:

Cardiometabolic risk factors, Dyslipidemia, Risk to associated spontaneous coronary artery dissection

Abstract

 

 Objective: In view of marked accentuations in cardiometabolic diseases in developing countries such as India, we aimed to conduct a cross-sectional study analyzing the prevalence of cardiometabolic risk factors in local population of Ghaziabad.

Methods: The study is descriptive, random sample survey, and cross-sectional study. The study was carried out at Santosh Medical College, Ghaziabad, on 350 participants between the age group 18-70 years. After taking the informed consent, they were included in the study. The variables recorded were clinical history, all risk factors of cardiovascular disease including blood pressure, body mass index, waist circumference, blood sugar and serum lipid levels, cigarette use, and dietary habit.

Result: Our study shows that the high prevalence of multiple risk factors in a general population with as many as 70% of the participants had metabolic syndrome. Among individually studied groups, obesity was the most common followed by dyslipidemia then diabetes and hypertension and the least prevalent was smoking. Females were more commonly affected than males by dyslipidemia and obesity, probably due to physical inactivity coupled with unhealthy diet and lifestyle.

Conclusion: There is the higher prevalence of cardiometabolic risk factors among the population making the individuals prone to associated spontaneous coronary artery dissection and their predisposition. Therefore, timely detection of cardiometabolic factors and appropriate interventions may be of prime concern.

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Author Biography

Preeti Sharma, Department of Biochemistry, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India

Associate Professor, Department of Biochemistry.

References

Iyengar SS, Puri R, Narasingan SN, Wangnoo SK, Mohan V, Mohan JC, et al. Lipid association of India expert consensus statement on management of dyslipidemia in Indians 2016: Part 1. J Assoc Phys India 2016;64 Suppl 3:7-52.

Fanty, Widayati A, Hendra P. Relationship of body fat percentage and APO B/APO A-1 ratio as cardiovascular risk marker in rural adults of Indonesia. Int J Pharm Pharm Sci 2017;9(2):114-6.

Pathak KY, Mohanan A, Acharya S, Mandavia D, Hemant R. Exploring visceral adiposity index as a predictor of visceral adiposity dysfunction and evaluating its performance in predicting hepatic insulin resistance in Indian Type 2 diabetes. Int J Pharm Pharm Sci 2016;8(8):297-301.

Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): Case-control study. Lancet 2004;364(9438):937-52.

Shah A, Afzal M. Prevalence of diabetes and hypertension and association with various risk factors among different Muslim populations of Manipur, India. J Diabetes Metab Disord 2013;12:52.

Joshi SR, Anjana RM, Deepa M, Pradeepa R, Bhansali A, Dhandania VK, et al. Prevalence of dyslipidemia in urban and rural India: The ICMR-INDIAB study. PLoS One 2014;9(5):e96808.

Garrow JS, Webster J. Quetelet’s index (W/H2) as a measure of fatness. Int J Obes 1985;9(2):147-53.

Basak A. Development of a rapid and inexpensive plasma glucose estimation by two-point kinetic method based on glucose oxidase-peroxidase enzymes. Indian J Clin Biochem 2007;22(1):156-60.

Rifai N, Warnick GR, Remaley AT. Lipids, lipoproteins, apolipoproteins, and other cardiovascular risk factors. In: Burtis CA, Ashwood ER, Bruns DE, editors. Teitz Fundamentals of Clinical Chemistry. Pennsylvania: Saunders an Imprint of Elsevier Inc.; 2010. p. 422-4.

Tandon VR, Mahajan A, Sharma S, Sharma A. Prevalence of cardiovascular risk factors in postmenopausal women: A rural study. J Midlife Health 2010;1(1):26-9.

Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociographic patterning of non-communicable diseases risk factors in rural India: A cross sectional study. BMJ 2010;341:c4974.

Prasad DS, Kabir Z, Dash AK, Das BC. Prevalence and risk factors for metabolic syndrome in Asian Indians: A community study from urban Eastern India. J Cardiovasc Dis Res 2012;3:e204-11.

Astrup A, Finer N. Redefining Type 2 diabetes: ‘Diabesity’ or ‘obesity dependent diabetes mellitus’? Obes Rev 2000;1(2):57-9.

Ramchandran A, Snehalatha C, Baskar AD, Mary S, Kumar CK, Selvam S, et al. Temporal changes in prevalence of diabetes and impaired glucose tolerance associated with lifestyle transition occurring in the rural population in India. Diabetologia 2004;47:860-5.

Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, et al. Obesity and cardiovascular diseases: Pathophysiology, evaluation and effect of weight loss. Arterioscler Thromb Vasc Biol 2006;26(5):968 76.

Published

01-08-2017

How to Cite

Sharma, P., P. Kumar, R. Sharma, and S. Prakash. “ASSESSMENT OF CARDIOMETABOLIC RISK FACTORS AMONG LOCAL POPULATION OF NATIONAL CAPITAL REGION”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 8, Aug. 2017, pp. 211-3, doi:10.22159/ajpcr.2017.v10i8.18588.

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Original Article(s)