Dietary Intake and Metabolic Syndrome in Kolagur Tribal Women, Yercaud

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Kolagur, metabolic syndrome, dietary intake, nutritional status, tribal woman, non communicable diseases


With increasing prevalence of metabolic syndrome among tribal population in India, the present study aimed to assess the incidence of metabolic syndrome and examine the differences in the dietary intake of tribal women residing in Kolagur, a hamlet in Yercaud block, Salem district, Tamil Nadu, India. One hundred women between the age of 18-60 years were randomly selected and information pertaining to their socio-demographic profile were elicited using a structured questionnaire. Anthropometric, biochemical, clinical and dietary parameters were assessed using appropriate validated tools. Nutrient intake was computed using Diet Cal software and the statistical analysis was done using ‘R' statistical software. Of the 100 tribal women, 26% were diagnosed with metabolic syndrome majorly prevalent among the age group of 40-60 years (53.8%). The most common feature of metabolic syndrome was low HDL cholesterol (88.5%). There were no significant differences in the socio-demographic profile of tribal women from both groups. Women with metabolic syndrome were found to have significant difference in all the anthropometric parameters with higher mean BMI (p<0.000), mean waist-to-hip ratio (p<0.000) and mean body fat (p<0.000) than those without metabolic syndrome. The mean fasting plasma glucose (p<0.000), mean triglycerides (p<0.000), mean total cholesterol: HDL cholesterol ratio (p=0.0007), mean systolic blood pressure level (p<0.000) and mean diastolic blood pressure level (p<0.000) were significantly higher and mean HDL - cholesterol was significantly lower (p=0.011) among those with metabolic syndrome. With respect to dietary intake, the mean intake of energy (p=0.012) and carbohydrates (p=0.034) of women with metabolic syndrome were significantly lesser than those without metabolic syndrome. These results imply the need for a cohort with larger sample size to gain more insight into the plausible diet-disease relationship. Long term interventions aimed to treat women with metabolic syndrome is crucial to prevent the onset of non-communicable diseases.


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How to Cite

Durga Priyadarshini, R., & Annette Beatrice, D. (2021). Dietary Intake and Metabolic Syndrome in Kolagur Tribal Women, Yercaud. The Indian Journal of Nutrition and Dietetics, 58(3), 398–407.



Original Articles
Received 2021-04-24
Accepted 2021-07-12
Published 2021-09-07



Alberti, K.G.M.M., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., Fruchart J.C., James, P.T., Loria, C.M. and Smith Jr, S.C. Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity. Circulat., 2009, 120, 1640-1645. DOI:

Lear, S.A. and Gasevic, D. Ethnicity and metabolic syndrome: Implications for assessment, management and prevention. Nutr., 2020, 12, 15. DOI:

Krishnamoorthy, Y., Rajaa, S., Murali, S., Rehman, T., Sahoo, J. and Kar, S.S. Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis. PloS one., 2020, 15, 0240971. DOI:

Hoyas, I. and Leon-Sanz, M. Nutritional challenges in metabolic syndrome. J. Clin. Med., 2019, 8, 1301. DOI:

Lutsey, P.L., Steffen, L.M. and Stevens, J. Dietary intake and the development of the metabolic syndrome: The atherosclerosis risk in communities study. Circulat., 2008, 117, 754-761. DOI:

Kaur, G. Diet Cal Software-a tool for dietary assessment and planning. All India Institute of Medical Sciences, New Delhi. 2014.

Grundy, S.M., Cleeman, J.I., Daniels, S.R., Donato, K.A., Eckel, R.H., Franklin, B.A.,

Gordon, D.J., Krauss, R.M., Savage, P. J., Smith, S.C., Spertus, J.A. and Costa, F. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulat., 2005, 112, 2735-2752. DOI:

Krupp, K., Adsul, P., Wilcox, M.L., Srinivas, V., Frank, E., Srinivas, A. and Madhivanan, P. Prevalence and correlates of metabolic syndrome among rural women in Mysore, India. Ind. Heart J., 2020, 72, 582-588. DOI:

Chaudhari, H.E. and Patil, S.D. Assessment of hazardous elements of metabolic syndrome in hypertensive patients to defend them from cardiovascular risk in tribal region. Diabet. Metabol. Syndrome: Clin. Res. Rev., 2019, 13, 925-931. DOI:

Sarkar, S., Das, M., Mukhopadhyay, B., Sekhar Chakraborty, C. and Majumder, P. P. Prevalence of metabolic syndrome in two tribal populations of the sub-Himalayan region of India: Ethnic and rural–urban differences. Am. J. Human Biol.., 2005, 17, 814-817. DOI:

Sen, P., Das, S. and Choudhuri, D. Correlates of cardiometabolic risk factors among women of an ethnic tribal community of Tripura. Ind. J. Public Healt., 2017, 61, 208. DOI:

Kanjilal, S., Shanker, J., Rao, V.S., Khadrinarasimhaih, N.B., Mukherjee, M., Iyengar, S.S. and Kakkar, V.V. Prevalence and component analysis of metabolic syndrome: an Indian atherosclerosis research study perspective. Vascular Healt. Risk Managem., 2008, 4, 189. DOI:

Longo, A., Ribas, B.L., Orlandi, S. P., Weber, B., Bertoldi, E.G., Borges, L.R. and Abib, R.T.

Prevalence of metabolic syndrome and its association with risk factors in patients with established atherosclerosis disease. Anais da Academia Brasileira de Ciíªncias., 2020, 92, e20180563. DOI:

Deedwania, P.C., Gupta, R., Sharma, K.K., Achari, V., Gupta, B., Maheshwari, A. and Gupta, A. High prevalence of metabolic syndrome among urban subjects in India: A multisite study. Diabet. Metabol. Syndrome: Clin. Res. Rev., 2014, 8, 156-161. DOI:

Moreira, G.C., Cipullo, J.P., Ciorlia, L.A.S., Cesarino, C.B. and Vilela-Martin, J.F. Prevalence of metabolic syndrome: Association with risk factors and cardiovascular complications in an urban population. PloS one., 2014, 9, e105056. DOI:

Singh, J., Rajput, M., Rajput, R. and Bairwa, M. Prevalence and predictors of metabolic syndrome in a North Indian rural population: A community based study. J. Glob Diabet. Clin. Metab., 2016, 5, 2.

Kshatriya, G. K. Association of anthropometric variables with selected metabolic risk factors: A study among the tribes of West Bengal. Man India., 2012, 94, e53.

Sawant, A., Mankeshwar, R., Shah, S., Raghavan, R., Dhongde, G., Raje, H., D'souza, S., Subramanium, A., Dhairyawan, P. and Ashavaid, T. F. Prevalence of metabolic syndrome in urban India. Cholesterol., 2011, 2011, 1-8. DOI:

Marjani, A. and Moghasemi, S. The Metabolic syndrome among postmenopausal women in Gorgan. Int. J. Endocrinol., 2012, 2012, 1-7. DOI:

Kamble, P., Deshmukh, P.R. and Garg, N. Metabolic syndrome in adult population of rural Wardha, Central India. Ind. J. Med. Res., 2010, 132, 701-705.

Lim, H.S., Shin, E.J., Yeom, J. W., Park, Y.H. and Kim, S.K. Association between nutrient intake and metabolic syndrome in patients with colorectal cancer. Clin. Nutr. Res., 2017, 6, 38-46. DOI:

Bian, S., Gao, Y., Zhang, M., Wang, X., Liu, W., Zhang, D. and Huang, G. Dietary nutrient intake and metabolic syndrome risk in Chinese adults: A case-control study. Nutr. J., 2013, 12, 106. doi:10.1186/1475-2891-12-106. DOI:

Lissner, L., Heitmann, B.L. and Bengtsson, C. Population studies of diet and obesity. Br. J. Nutr., 2000, 83, S21-S24. DOI: