• INDERPREET KAUR Department of Biochemistry, M. M. College of Medical Sciences and Research, Sadopur (Ambala), Haryana, India.
  • PURNIMA JINDAL Department of Biochemistry, M. M. College of Medical Sciences and Research, Sadopur (Ambala), Haryana, India.
  • RAJINDERJIT SINGH AHI Department of Biochemistry, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, India.
  • JASWANT KAUR Department of Biochemistry, Dr. S. S. Tantia Medical College, Hospital and Research Centre, Sri Ganganagar, Rajasthan, India.



Metabolic syndrome, Type 2 diabetes, Body mass index, Cardiovascular disease


Objective: Metabolic syndrome (MetS) is an associated conditions that together rise the risk of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). The study’s hypothesis was to assess the prevalence of the Mets and its associated factors among the North Indian population.

Methods: The prevalence of the MetS was estimated to be two hundred patients who visited the hospital of Guru Nanak Dev, Sri Amritsar. Following variables such as body mass index, waist circumference, high-density lipoprotein-cholesterol, triglycerides, and fasting blood glucose were done.

Results: The prospective observational study revealed that the prevalence of the MetS was higher in women than men, based on the International Diabetes Federation definition (female-55% and male-45%). MetS was more prevalent in the study of patients with age >60 years. A strong association was found between the above parameters (p<0.05) with the Mets.

Conclusion: Amid the Mets driving the twin global pandemic of CVD and T2DM. There is a medical and economic imperative to identify those individuals with the Mets, so that interventions and treatment may prevent T2DM with CVD.


Download data is not yet available.


Krishnamoorthy Y, Rajaa S, Murali S, Sahoo J, Kar SS. Association between anthropometric risk factors and metabolic syndrome among adults in India: A systematic review and meta-analysis of observational studies. Prev Chronic Dis. 2022;19:E24. doi: 10.5888/ pcd19.210231external

Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12. doi: 10.1007/s11906-018-0812-z, PMID 29480368

Krishnamoorthy Y, Rajaa S, Murali S, Rehman T, Sahoo J, Kar SS. Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis. PLoS One. 2020;15(10):e0240971. doi: 10.1371/journal.pone.0240971, PMID 33075086

Dominguez LJ, Barbagallo M. The biology of the metabolic syndrome and aging. Curr Opin Clin Nutr Metab Care. 2016;19(1):5-11. doi: 10.1097/MCO.0000000000000243, PMID 26560521

Canale MP, Manca di Villahermosa S, Martino G, Rovella V, Noce A, De Lorenzo A, et al. Obesity-related metabolic syndrome: Mechanisms of sympathetic over activity. Int J Endocrinol. 2013;2013:865965. doi: 10.1155/2013/865965, PMID 24288531

Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation. 2005;112(17):2735- 52. doi: 10.1161/CIRCULATIONAHA.105.169404, PMID 16157765

Chaudhary M, Sharma P. Abdominal obesity in India: Analysis of the National Family Health Survey-5 (2019-2021) data. Lancet Reg Health Southeast Asia. 2023;14:100208. doi: 10.1016/j.lansea.2023.100208

Vennu V, Abdulrahman TA, Bindawas SM. The prevalence of overweight, obesity, hypertension, and diabetes in India: Analysis of the 2015-2016 National Family Health Survey. Int J Environ Res Public Health. 2019;16(20):3987. doi: 10.3390/ijerph16203987, PMID 31635366

Pucci G, Alcidi R, Tap L, Battista F, Mattace-Raso F, Schillaci G. Sex and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: A review of the literature. Pharmoacol Res. 2017;120:34-42. doi: 10.1016/j.phrs.2017.03.008, PMID 28300617

Jordan HT, Tabaei BP, Nash D, Angell SY, Chamany S, Kerker B. Metabolic syndrome among adults in New York City, 2004 New York city health and nutrition examination survey. Prev Chronic Dis. 2012;9:E04.

Fisher E, Brzezinski RY, Ehrenwald M, Shapira I, Zeltser D, Berliner S, et al. An increasein body mass index and waist circumference predicts the development of metabolic syndrome criteria in apparently healthy individuals with 2 and 5-yearfollow-ups. Int J Obes (Lond). 2019;43(4):800-7. doi: 10.1038/s41366-018-0312-x, PMID 30647453



How to Cite

KAUR, I., P. JINDAL, R. S. AHI, and J. KAUR. “TO COMPARE THE METABOLIC SYNDROME AND ITS ASSOCIATED FACTORS WITH THE NORMAL HEALTHY POPULATION”. Asian Journal of Pharmaceutical and Clinical Research, vol. 17, no. 7, July 2024, pp. 95-97, doi:10.22159/ajpcr.2024v17i7.50807.



Original Article(s)

Most read articles by the same author(s)