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Parab-Waingankar, Prajakta
- Obesity and Hypertension among Urban Affluent Adult Males from Pune, India
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1 Biometry & Nutrition Unit, Agharkar Research Institute, Pune- 411 004, IN
1 Biometry & Nutrition Unit, Agharkar Research Institute, Pune- 411 004, IN
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The Indian Journal of Nutrition and Dietetics, Vol 52, No 1 (2015), Pagination: 32-44Abstract
Although hypertension is highly prevalent among urban Indian population, there exists insufficient investigation on its relation with obesity and abdominal obesity indicators for early risk prediction. Data on Body Mass Index (BMI), Body Fat (BF%), Waist Circumference (WC), Abdominal Circumference (AC), Waist to Hip Ratio (WHR), Waist to Height ratio (WHT), Sub-scapular (SSF) and Supra-iliac Skin Folds (SUF) and Blood Pressure were recorded through a cross-sectional study on 302 urban affluent men (aged 30-60 years) in Pune, India. Younger adults had the highest prevalence of both overweight (25.2%) and obesity (52.0%) and age related trend was significant (p<0.05) for prevalence of abdominal obesity. Obesity prevalence based on BF (%) was alarmingly high compared to that based on BMI. Indicators of abdominal obesity (WC, AC, SSF and SUF) increased with increase in BMI. Mean values of SBP and DBP and prevalence of hypertension increased significantly (p<0.05) with increase in BMI, AC, WC and its ratios but not with increase in either BF (%) or skinfolds indicating that it is the distribution of fat and not the total body fat that matters. The risk of hypertension was 2 to 3 times higher for BMI > 27.6 kg/m2, for WC > 91.3 cm, for AC > 97.0 cm and for WHT > 0.55. Optimal cut-off for risk of hypertension obtained by ROC was much lower than conventional cut-off in case of WC (86.3 vs 90 cm) than that for BMI (25.3 vs 25 kg/m2) indicating the need for further studies to validate the potential of simple measurements such as WC and its ratios for risk assessment of hypertension among Indian population.Keywords
Obesity, Abdominal Obesity, BMI, Waist Circumference, Hypertension.References
- World Health Organization. Global status report on non communicable diseases 2010. WHO, Geneva. 2011, vii.
- World Health Organization. Obesity: Preventing and Managing the Global Epidemic: Report of a WHO consultation. WHO Technical Report Series no. 894, WHO, Geneva. 2000, 1-142.
- World Health Organization. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. World Health Organization (WHO) / International Association for the Study of Obesity (IASO) / International Obesity Task Force (IOTF). Health Communication Australia PTY Ltd. 2000, 1-25.
- Banerji, M.A., Faridi, N., Atluri, R., Rochelle, L. and Lebovitz, H.E., Body composition, visceral fat, leptin and insulin resistance in Asian Indian men. J. Clin. Endocrinol. Metab., 1999, 84, 137-144.
- Raji, A., Seely, E.W., Arky, R.A. and Simonson, D.C., Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians. J. Clin. Endocrinol. Metab., 2001, 86, 5366-5371.
- Deurenberg-Yap, M., Chew, S.K. and Deurenberg, P., Elevated body fat percentage and cardiovascular risks at low body mass index levels among Singaporean Chinese, Malays and Indians. Obes. Rev., 2002, 3, 209-215.
- Misra, A. and Vikram, N.K., Insulin resistance syndrome (metabolic syndrome) and Asian Indians. Curr. Sci., 2002, 83, 1483-1496.
- Gus, M., Fuchs, S.C., Moreira, L.B., Moraes, R.S., Wiehe, M., Silva, A.F., Albers, F. and Fuchs, F.D., Association between different measurements of obesity and the incidence of hypertension. Am. J. Hypertens., 2004, 17, 50-53.
- Siani, A., Cappuccio, F.P., Barba, G., Trevisan, M., Farinaro, E., Iacone, R., Russo, O., Russo, P., Mancini, M. and Strazzullo, P., The Relationship of Waist Circumference to Blood Pressure: The Olivetti Heart Study. Am. J. Hypertens., 2002, 15, 780-786.
- Janssen, I., Katzmarzyk, P.T. and Ross, R., Waist circumference and not body mass index explains obesity-related health risk. Am. J. Clin. Nutr., 2004, 79, 379-384.
- Yajnik, C.S., Obesity epidemic in India: intrauterine origins? Proc. Nutr. Soc, 2004, 63, 387-396.
- Gupta, M., Patil, R., Khan, M.I. and Gupta, S.K., The Prevalence of obesity and hypertension in urban Tamilnadu. J. Clin. Diagn. Res., 2011, 5, 586-588.
- Lean, M.E, Han, T.S. and Morrison, L.E., Waist circumference as a measure for indicating need for weight management. BMJ. 1995, 311, 158-161.
- Lohman, T.G., Houtkooper, L. and Going, S.B., Body fat measurements goes high tech. (Not all are created equal). ACSM Health Fitness J., 1997, 1, 30-35.
- Chobanian, A.V., Bakris, G.L. and Black, H.R., et al., The seventh report of the Joint National Committee on prevention, detection, evaluation and treatment of high blood pressure. JAMA, 2003, 289, 2560-2572.
- Altaian, D.G., Practical statistics for medical research. London: Chapman & Hall. 1991, 418.
- Deurenberg, P., Deurenberg-Yap, M. and Guricci, S., Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship. Obes. Rev., 2002, 3, 141-146.
- Sheth, T., Nair, C, Nargundkar, M., Anand, S. and Yusuf, S., Cardiovascular and cancer mortality among Canadians of European, South Asian and Chinese origin from 1979 to 1993: an analysis of 1.2 million deaths. CMAJ, 1999, 161, 132-138.
- Enas, E.A., Mohan, V., Deepa, M., Farooq, S., Pazhoor, S. and Chennikkara, H., The metabolic syndrome and dyslipidemia among Asian Indians: A population with high rates of diabetes and premature coronary artery disease. J. Cardio. Metab. Syndr., 2007, 2, 267-275.
- Misra, A. and Khurana, L., Obesity related non-communicable diseases: South Asians vs. White Caucasians. I. JOB, 2011, 35, 167-187.
- Gopalan, C, Obesity in the Indian Urban 'Middle Class'. NFI Bull, 1998, 19, 1-4.
- Chadha, S.L., Gopinath, N. and Shekhawat, S., Urban-rural differences in the prevalence of coronary heart disease and its risk factors in Delhi. Bull World Health Organ., 1997, 75, 31-38.
- Ramachandran, A., Snehalatha, C, Dharmaraj, D. and Vishwanathan, M., Prevalance of glucose intolerance in Asian Indians: urban-rural difference and significance of upper body adiposity. Diabetes Care., 1992, 15, 1348-1355.
- Gupta, R., Sarna, M., Thanvi, J., Rastogi, P., Kaul, V. and Gupta, V.P., High prevalence of multiple coronary risk factors in Punjabi Bhatia community: Jaipur Heart Watch - 3. Indian Heart J., 2004, 56, 646-652.
- Misra, A., Vikram, N.K., Gupta, R., Pandey, R.M., Wasir, J.S. and Gupta, V.P., Waist circumference cutoff points and action levels for Asian Indians for identification of abdominal obesity. Int. J. Obes., 2006, 30, 106-111.
- Al-Mahroos, F. and Al-Roomi, K., Obesity among adult Bahraini population: Impact of physical activity and educational level. Ann. Saudi. Med., 2001, 21, 183-187.
- Proper, K.I., Cerin, E., Brown, W.J. and Owen, N., Sitting time and socio-economic differences in overweight and obesity. Int. J. Obes., 2007, 31, 169-176.
- Singh, R.B., Niaz, M.A., Beegom, R., Wander, G.S., Thakur, A.S. and Rissam, H.S., Body fat per cent by bioelectrical impedance analysis and risk of coronary artery disease among urban men with low rates of obesity: The Indian paradox. J. Am. Coll. Nutr., 1999, 18, 268-273.
- Kotani, K., Tokunaga, K., Fujioka, S., Kobatake, T., Keno, Y., Yoshida, S., Shimomura, I., Tarui, S. and Matsuzawa, Y., Sexual dimorphism of age-related changes in whole body fat distribution in the obese. Int. J. Obes., 1994, 18, 207-212.
- Zamboni, M., Armellini, F., Milani, M.P., De Marchi, M., Todesco, T., Robbi, R., Bergamo- Andreis, LA. and Bosello, O., Body fat distribution in pre and post menopausal women: Metabolic and anthropometric variables and their inter-relationships. Int. J. Obes., 1992, 16, 495-504.
- Kaur, P., Radhakrishnan, E., Rao, S.R., Sankarasubbaiyan, S., Rao, T.V. and Gupte, M.D., The Metabolic Syndrome and associated risk factors in an urban industrial male population in South India. J. Assoc. Physicians India., 2010, 58, 363-366.
- Menke, A., Muntner, P., Wildman, R.P., Reynolds, K. and He, J., Measures of adiposity and cardiovascular disease risk factors. Obesity., 2007, 15, 785-795.
- Friedl, K.E., Waist Circumference threshold values for Type 2 diabetes risk. J. Diabet. Sci. Technol., 2009, 3, 761-769.
- Bhadra, M., Mukhopadhyay, A. and Bose, K., Adiposity, central body fat distribution and blood pressure among young Bengalee adults of Kolkatta, India: Sexual dimorphism. J. Physiol. Anthropol., 2002, 21, 273-276.
- Dietary Fats Discriminate Risk for Abdominal Obesity and Glucose Metabolism among Urban Affluent Adult Males in Pune, India
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1 Biometry and Nutrition Group, Agharkar Research Institute, Pune - 411 004, IN
1 Biometry and Nutrition Group, Agharkar Research Institute, Pune - 411 004, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 53, No 1 (2016), Pagination: 47-61Abstract
Indian diets have not been thoroughly investigated despite the fact that 'Nutrition Transition' parallels a rapidly escalating epidemic of obesity and Non-Communicable Diseases. Data on socio-economic background, dietary intake, BMI, Body Fat, Waist Circumference (WC), Abdominal Circumference (AC) and fasting blood estimations were recorded on 302 affluent men (30-60 years) in a cross-sectional study in Pune, India. Average daily calorie intake was lower (1714.7 ± 442 kcal) than the Recommended Dietary Allowance (ICMR, 2010) while mean fat (45.8 ± 19.1 g), carbohydrate (279.2 ± 68.3 g) and protein intakes (46.5 ± 15.1 g) were comparable. Increase in mean WC and AC (3.9 cm), in prevalence of overall obesity (49.4% to 65.4%) and in prevalence of abdominal obesity (24.7% to 40.7%) was significant (p<0.05 for all) across tertiles of total calories. But with increase in fat intake, it was only the prevalence of abdominal obesity that increased significantly (23.2% to 39.5%; p<0.05). Subjects having higher calorie intake (>1816 kcal/d) had two times higher risk for overall and abdominal adiposity while subjects having higher fat intake (>50g/d) had two times higher risk for abdominal obesity alone. Fat density but not carbohydrate, was sensitive as the prevalence of high Fasting Blood Glucose (FBG), significantly (p<0.05) increased (20.2% to 42.9%) with its increase. Additionally, the risk of high FBG was about 3 times higher (p<0.01) for high fat density (>30%). Thus, high fat density but not carbohydrate density may be an important causative factor for high rates of abdominal obesity and disturbed glucose metabolism in India.Keywords
Overall Obesity, Abdominal Obesity, Fat Density, Fasting Blood Glucose.References
- Popkin, B.M. and Gordon-Larsen, P. The nutrition transition: worldwide obesity dynamics and their determinants. Int. J. Obes., 2004, 28, S2-S9.
- Gopalan, C. Nutrition in developmental transition in South-East Asia. World Health Organization Regional Health paper, SEARO, New Delhi, 1992, 21, 15-16.
- National Sample Survey Organization. Nutritional intake in India 1999-2000. New Delhi: Ministry of Statistics and Programme Implementation, Government of India, 2001, NSS Report No. 471, 15-21.
- Deaton, A. and Drèze, J. Food and Nutrition in India: Facts and Interpretations. Econ. Polit. Weekly, 2009, 7, 42-65.
- Bray, G.A. and Popkin, B.M. Dietary fat intake does affect obesity! Am. J. Clin. Nutr., 1998, 68, 1157-1173.
- Klein, S., Allison, D.B., Heymsfield, S.B. et al. Waist circumference and cardio metabolic risk: a consensus statement from shaping America’s Health: Association for weight management and obesity prevention; NAASO, The Obesity Society; The American Society for Nutrition and the American Diabetes Association. Am. J. Clin. Nutr., 2007, 85, 1197-1202.
- Lean, M.E., Han, T.S. and Morrison, L.E. Waist circumference as a measure for indicating need for weight management. Brit. Med. J., 1995, 311, 158-161.
- Henry, J.B. Clinical Diagnosis and Management by Laboratory Methods, 20th ed., W.B. Saunders Company, Philadelphia, 2001, 213-235.
- Rao, S. Nutritive value of some Indian food preparations. Agharkar Research Institute, Pune, 1999.
- Gopalan, C., Rama Sastri, B.V. and Balasubramanian, S.C. Nutritive Value of Indian Foods. Revised and updated by Narasinga Rao, B.S., Deosthale, Y.G. and Pant, K.C. Hyderabad: National Institute of Nutrition, Indian Council of Medical Research, 2007.
- World Health Organization. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. World Health Organization (WHO)/International Association for the Study of Obesity (IASO)/International Obesity Task Force (IOTF), Health Communication PTY Ltd., Australia, 2000, 1-25.
- Lohman, T.G., Houtkooper, L. and Going, S.B. Body fat measurements goes high tech (Not all are created equal). ACSM Health Fitness J., 1997, 1, 30-35.
- World Health Organization. Waist Circumference and Waist to Hip Ratio: Report of a WHO Expert Consultation, Geneva, 2011, 14-20.
- World Health Organization (WHO)/International Diabetes Federation (IDF). Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycemia. Report of a WHO/IDF Consultation, Geneva, 2006, 1-3.
- Matthews, D.R., Hosker, J.P. Rudenski, A.S. et al. Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetol., 1985, 28, 412-419.
- ICMR. Nutrient Requirements and Recommended Dietary Allowances for Indians. A Report of the Expert Council of the Indian Council of Medical Research, New Delhi, 2010, 66.
- World Health Organization. Preparation of food based dietary guidelines: Report of joint FAO/WHO consultation. WHO Technical Report Series no. 880, Geneva, 1998, 53.
- Reddy, K.S., Prabhakaran, D. Shah, P. et al. Difference in body mass index and waist:hip ratios in North Indian rural and urban populations. Obes. Rev., 2002, 3, 197-202.
- Gupta, M., Patil, R., Khan, M.I. et al. The prevalence of obesity and hypertension in urban Tamil Nadu. J. Clin. Diagn. Res., 2011, 5, 586-588.
- Iyer, U., Elayath, N., Desai, P. Comparative prevalence of non-communicable diseases in the adult population of Vadodara and Godhra in Gujarat and determinants of diabetes mellitus in the population. Int. J. Appl. Biol. Pharm., 2011, 2, 346-352.
- Daniel, C.R., Prabhakaran, D., Kapur, K. et al. A cross sectional investigation of regional patterns of diet and cardio-metabolic risk in India. Nutr. J., 2011, 10, 12.
- Pandey, D., Bhatia, V., Boddula, R. et al. Validation and reproducibility of a food frequency questionnaire to assess energy and fat intake in affluent North Indians. Natl. Med. J. India, 2005, 18, 230-241.
- Bharathi, A.V., Kurpad, A.V., Thomas, T. et al. Development of food frequency questionnaire and a nutrient database for the Prospective Urban and Rural Epidemiological (PURE) pilot study in South India: Methodological issues. Asia. Pac. J. Clin. Nutr., 2008, 17, 178-185.
- Radhika, G., Sathya, R.M., Sudha, V. et al. Dietary salt intake and hypertension in an urban South Indian population (CURES-53). J. Assoc. Physicians India, 2007, 55, 405-411.
- Duvigneaud, N., Wijndaele, K., Matton, L. et al. Dietary factors associated with obesity indicators and level of sports participation in Flemish adults: A cross sectional study. Nutr. J., 2007, 6, 26.
- Singh, R.B., Ghosh, S., Beegom, R. et al. Prevalence and determinants of central obesity and age specific waist:hip ratio of people in five cities: the Indian Women’s Health Study. J. Cardiovasc. Risk, 1998, 5, 73-77.
- Beegom, R., Beegom, R., Niaz, M.A. et al. Diet, central obesity and prevalence of hypertension in the urban population of South India. Int. J. Cardiol., 1995, 51, 183-191.
- Ghosh, A., Bose, K. and Chaudhari, A.B.D. Association of food patterns, central obesity measures and metabolic risk factors for Coronary Heart Disease (CHD) in middle aged Bengalee Hindu men, Calcutta, India. Asia Pac. J. Clin. Nutr., 2003, 12, 166-171.
- Bjorntorp, P. Visceral obesity: a "civilization syndrome". Obes. Res., 1993, 1, 206-222.
- Popkin, B.M. Global nutrition dynamics: The world is shifting rapidly toward a diet linked with non communicable diseases. Am. J. Clin. Nutr., 2006, 84, 289-298.
- Mayer, E.J., Newman, B., Quesenberry Jr, C.P. et al. Visual dietary fat intake and insulin concentrations in healthy women twins. Diabetes Care, 1993, 16, 1459-1469.
- Marshall, J.A., Hoag, S., Shetterly, S. et al. Dietary fat predicts conversion from impaired glucose tolerance to NIDDM. The San Luis Valley Diabetes Study. Diabetes Care, 1994, 17, 50-56.
- World Health Organization. Obesity: Preventing and Managing the Global Epidemic: Report of a WHO consultation. WHO Technical Report Series no. 894, Geneva, 2000, 1-142.
- Shifting Dietary Patterns Contribute to the Risk of Obesity and Metabolic Syndrome Among Urban Affluent Men in India
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1 Biometry and Nutrition Group, Agharkar Research Institute, Pune-411004, IN
1 Biometry and Nutrition Group, Agharkar Research Institute, Pune-411004, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 55, No 2 (2018), Pagination: 122-141Abstract
The pertinent role of diet in the development of obesity and metabolic syndrome (MS) is evident among studies from developed countries, however scarce data is available from India that has a culturally unique diet pattern. Data on socio-economic background, dietary patterns, BMI, body fat, circumferences, skin folds and blood pressure were recorded on 302 affluent men (30-60 years) in a cross-sectional study in Pune, India. Fasting blood estimations were performed for glucose, insulin and lipids. The subjects were predominantly (70%) vegetarians with daily butter consumption at 50%, high consumption (>4 times/week) of milk at 60.5% and >2 times/week for milk products (36%), home-made fried snacks (35%), outside snacks (25.5%) and outside meals (32.2%). High consumption of home-made fried and sweet snacks, outside snacks and milk products showed significantly higher (p<0.05) means, prevalence and odds ratio for overall and abdominal obesity. High consumption of fried foods increased abdominal obesity by 2-4 times. Significant associations were also observed between consumption patterns, dyslipidemia and MS. Prevalence of dyslipidemia significantly (p<0.05) increased from 42% to 48% to 55% across tertiles of outside snack consumption, with a significant risk observed in the middle tertile (OR: 1.94, p<0.05). Food groups that had displayed risk for abdominal obesity continued to demonstrate a positive association with MS viz. milk products (OR:2.23, p<0.05), home-made fried snacks (OR: 4.45, p<0.01) and outside snacks (OR:3.45, p<0.05). Odds ratio for fried and outside snacks continued to be significant even after adjusting for BMI. In contrast, the risk for MS was lowest (OR: 0.15, p=0.068) among subjects consuming fish (>once/week) as compared to consumption of once or less per month, even after adjusting for BMI. It was thus evident that consuming foods high in unhealthy fats and sugar (>2 times/week) increased the risk for both abdominal obesity and metabolic syndrome.Keywords
Obesity, Abdominal Obesity, BMI, Waist Circumference, Metabolic Syndrome, Dyslipidemia, Diet, Fried Foods, Outside Snacks.References
- Shetty, P.S. Nutrition transition in India. Publ. Health Nutr., 2002, 5 (1A), 175-182.
- Griffiths, P.L. and Bentley, M.E. The Nutrition Transition Is Underway In India. J. Nutr., 2001, 131, 2692–2700.
- IDF - International Diabetes Federation. IDF Diabetic Atlas 7th Edition. 2015, 17p. Available @ http://www.idf.org/idf-diabetes-atlas-seventh-edition
- Engelgau, M.M., El-Saharty, S., Kudesia, P., Rajan, V., Rosenhouse, S. and Okamoto, K. Capitalizing on the Demographic Transition: Tackling Noncommunicable Diseases in South Asia. The World Bank, Conference Edn. 2011, 25-36.
- IDF - International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome, Belgium. 2006, 10.
- Misra, A. and Khurana, L. Obesity related non-communicable diseases: South Asians vs. White Caucasians. Int. J. Obes., 2011, 35, 167-187.
- Daniel, C.R., Prabhakaran, D., Kapur, K., Graubard, B.I, Devasenapathy, N., Ramakrishnan, L., George, P.S., Shetty, H., Ferucci, L.M., Yurgalevitch, S., Chatterjee, N., Reddy, K.S., Rastogi, T., Gupta, P.C., Mathew, A. and Sinha, R. A cross sectional investigation of regional patterns of diet and cardio-metabolic risk in India Nutr. J., 2011, 10, 12.
- Gopalan, C. Obesity in the Indian Urban ‘Middle Class’. NFI Bull., 1998, 19, 1-4.
- Popkin, B.M. Global nutrition dynamics: The world is shifting rapidly toward a diet linked with non communicable diseases. Am. J. Clin. Nutr., 2006, 84, 289-298.
- The Centre for Science and Environment (CSE). A Weighty Crisis. Health and Environment Newsletter, March-April, 2005, 3, (2), 1-6. Available @ www.cseindia.org/html/healthnews.htm
- Vadera, B.N, Yadav, S.B., Yadav, B.S., Parmar, D.V. and Unadkat, S.V. Study on obesity and influence of dietary factors on the weight status of an adult population in Jamnagar city of Gujarat. A cross sectional analytical study. Ind. J. Comm. Med., 2010, 35 (4), 482-486.
- Dua, A. and Seth, V. Obesity - Prevalence and association with food behavior in married women (25-40 years). Ind. J. Nutr. Diet., 1988, 25, 338-344.
- He, K., Song, Y., Daviglus M.L., Liu, K., Horn, L.V., Dyer, A.R. and Greenland, P. Accumulated evidence on fish consumption and coronary heart disease mortality: A meta-analysis of cohort studies. Circulation, 2004, 109, 2705-2711.
- Henry, J.B. Clinical Diagnosis and Management by Laboratory Methods, 20th Edn. W.B. Saunders Company, Philadelphia, 2001, 213-235.
- Bamji M.S., Rao, N.P. and Reddy, V. Textbook of Human Nutrition: 2nd Edn. Oxford and IBH Publishing Co. Pvt. Ltd., New Delhi, 2003, 129-168.
- World Health Organization. Waist Circumference and Waist to Hip Ratio: Report of a WHO Expert Consultation. WHO, Geneva, 2011.
- World Health Organization. The Asia-Pacific Perspective: Redefining Obesity and its Treatment. World Health Organization (WHO)/International Association for the Study of Obesity (IASO)/International Obesity Task Force (IOTF). Health Communication Australia PTY Ltd, 2000. Available @ http://www.idi.org.au/obesity -report.html.
- World Health Organization (WHO) / International Diabetes Federation (IDF). Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycemia. Report of a WHO/IDF Consultation. Geneva, 2006, 1-3.
- Matthews, D.R., Hosker, J.P., Rudenski, A.S. et al. Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 1985, 28, (7), 412-419.
- NCEP-ATP3. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP): Expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel 3). JAMA, 2001, 285, (19), 2486-2497.
- McLaughlin, T., Abbasi, F., Cheal, K., Chu, J., Lamendola, C. and Reaven, G. Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern. Med., 2003, 139, 802-809.
- Mohan, V. and Deepa, M. Prevalence of diabetes and metabolic syndrome among Asians. Int. J. Diab. Dev. Ctries., 2010, 30,173-175.
- Misra, A., Wasir, J.S. and Pandey, R.M. An evaluation of candidate definitions of the metabolic syndrome in adult Asian Indians. Diab. Care, 2005, 28 (2), 398-403.
- Ramachandran, A., Snehalatha, C., Satyavani, K., Sivasankari, S. and Vijay, V. Metabolic syndrome in urban Asian Indian adults-a population study using modified ATP III criteria. Diab.Res.Clin.Pract., 2003, 60 (3),199-204.
- Tan, C.E., Ma, S., Wai, D., Chew, S.K. and Tai, E.S. Can we apply the National Cholesterol Education Program Adult Treatment Panel definition of the metabolic syndrome to Asians? Diab. Care, 2004, 27, 1182-1186.
- Wolongevicz, D.M., Zhu, L., Pencina, M.J., Kimokoti, R.W., Newby, P.K., D’Agostino, R.B. and Millen, B.E. An obesity dietary quality index predicts abdominal obesity in women: Potential opportunity for new prevention and treatment paradigms. J. Obes., 2010, pii 945987. Epub 2010 Jan 5.
- Ghosh, A., Bose, K. and Chaudhari, A.B.D. Association of food patterns, central obesity measures and metabolic risk factors for Coronary Heart Disease (CHD) in middle aged Bengalee Hindu men, Calcutta, India. Asia. Pac. J. Clin. Nutr., 2003, 12 (2), 166-171.
- Vyas, A., Greenhalgh, A., Cade, J., Sanghera, B., Riste, L., Sharma, S. and Cruickshank, K. Nutrient intakes of an adult Pakistani, European and African-Caribbean community in inner city. Brit. J. Hum. Nutr. Dietet., 2003, 16, 327-337.
- Sevak, L., Mangtani, P., McCormack, V., Bhakta, D., Kassam-Khamis, T. and dos Santos Silva, I. Validation of food frequency questionnaire to assess macro and micro nutrient intake among South Asians in the United Kingdom. Eur. J. Nutr., 2004, 43, 160-168.
- Kelemen, L.E., Anand, S.S., Vukson, V., Yi, Q., Teo, K.K., Devanesen, S. and Yusuf, S., SHARE Investigators. Development and evaluation of cultural food frequency questionnaires for South Asians, Chinese and Europeans in North America. J. Am. Dietet. Assoc., 2003, 103, 1178-1184.
- Kapil, U., Pathak, P., Singh, P. and Dwivedi, S.N. Reproducibility and validity of the food frequency questionnaire methodology in an urban middle income group community of Delhi, India. Pak. J. Nutr., 2003, 2 (1), 33-35.
- Pandey, D., Bhatia, V., Boddula, R., Singh, H.K. and Bhatia, E. Validation and reproducibility of a food frequency questionnaire to assess energy and fat intake in affluent North Indians. Nat. Med. J., India, 2005, 18 (5), 230-241.
- Bharathi, A.V., Kurpad, A.V., Thomas, T., Yusuf, S., Saraswathi, G. and Varz, M. Development of food frequency questionnaire and a nutrient database for the prospective urban and rural epidemiological (PURE) pilot study in South India: Methodological issues. Asia. Pacific. J. Clin. Nutr., 2008, 17 (1), 178-185.
- Radhika, G., Sathya, R.M., Sudha, V. Ganesan, A. and Mohan, V. Dietary salt intake and hypertension in an urban South Indian population (CURES-53). Jason. Phys., 2007, 55, 405-411.
- World Health Organization. Diet, Nutrition and Prevention of Chronic Diseases. Report of a Joint WHO / FAO Expert Consultation. WHO Technical Report Series No. 916. Geneva, World Health Organization, 2003.
- Vergetaki, A., Linardakis, M., Papadaki, A. and Kafatos, A. Presence of metabolic syndrome and cardiovascular risk factors in adolescents and university students in Crete (Greece), according to different levels of snack consumption. Appetit., 57 (1), 278-285, Epub 2011.
- Freire, R.D., Cardoso, M.A., Gimeno, S.G.A. and Ferreira, S.R.G. for the Japanese-Brazilian Diabetes Study Group. Dietary fat is associated with metabolic syndrome in Japanese Brazilians. Diab. Care, 2005, 28, 1779-1785.
- Collison, K.S., Makhoul, N.J., Inglish, A., Al-Johi, M., Zaidi, M.Z., Maqbool, Z., Saleh, S.M., Bakheet, R., Mondreal, R., Rabiah, R., Shoukri, M., Milgram, N.W. and Al-Mohanna, F.A. Dietary trans-fat combined with monosodium glutamate induces dyslipidemia and impairs spatial memory. Physiol. Behavior, 2010, 99, 334-342.