Correlation of waist circumference with type 2 diabetes mellitus
A cross-sectional study
Keywords:
cross-sectional study, diabetes mellitus, middle aged men, type II DM, waist circumferenceAbstract
Background: Abdominal obesity in comparison to overall obesity is more important in prediction of type II DM. All such individuals who are more susceptible to such diseases either due to genetic background as their life style, are needed to detect at early point in their life so that necessary measures can be taken for their prevention. Methods: A community based study has been done in middle aged men to collect data for risk assessment of type II DM. For identification of high risk categories various analysis like, calculation of position and negative predictive values, and corresponding 95% cl for eleven different cut off points, with interval of 1cm (92-102cm) has been done for evaluation of waist circumference. Result: In study group of middle age men, those having waist – circumference > 94cm, are more prone to type II DM. Conclusion: Waist circumference is an important parameter for assessment of type II DM. It should be used as a reliable method amongst middle aged men to identify those having high risk of type II DM So that all important prevention should be taken and necessary intervention should be done at earliest.
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Eckel RH, Grundy SM, Zimmet PZ: The Metabolic syndrome. Lancet 2005, 365:1415–1428.
Lean MEJ, Han TS, Morrison CE: Waist circumference as a measure for indicating need for weight management. BMJ 1995, 31:158–161.
Pouliot MC, Després JP, Lemieux S, Bouchard C, Tremblay A, Nadeau A, Lupien PJ: Waist circumference and abdominal sagittal diameter: best simple anthropometric index of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 1994, 73:460–468.
McGrae McDermott M: The international Pandemic of Chronic cardiovascular Disease. JAMA 2007, 297:1253–1255.
Lindström J, Tuomilehto J: The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk. Diabetes Care 2003, 26:725–731.
Ketola E, Klockars M: Computer-assisted telephone interview (CATI) in primary care. Family Practice 1999, 16:179–183.
Janiiszewski PM, Janssen I, Ross R: Does Waist Circumference Predict Diabetes and cardiovascular Disease beyond Commonly Evaluated cardio metabolic risk Factors? Diabetes Care 2007, 30:3105–3109.
Balkau B, Deanfield JE, Després JP, Bassand JP, Fox KA, Smith SC Jr, Barter P, Tan CE, Van Gaal L, Wittchen HU, Massien C, Haffner SM: International Day for the Evaluation of Abdominal Obesity (IDEA). A Study of Waist Circumference, Cardiovascular Disease, and Diabetes mellitus in 168000 Primary care patients in 63 Countries. Circulation 2007, 116:1942–1951.
I. Danquah, G. Bedu-Addo, K. Terpe et al., “Diabetes mellitus type 2 in urban Ghana: characteristics and associated factors,” BMC Public Health, vol. 12, no. 1, article 210, 2012.
N. Nahar, S. Dubey, A. Joshi, S. Phadnis, and V. Sharma, “Association of anthropometric indices of obesity with diabetes, hypertension and dyslipidemia: a study from central India,” Indian Journal of Medical Specialities, vol. 3, no. 1, pp. 6–11, 2012.
G. Vazquez, S. Duval, D. R. Jacobs Jr., and K. Silventoinen, “Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis,” Epidemiologic Reviews, vol. 29, no. 1, pp. 115–128, 2007.
K. M. Rexrode, V. J. Carey, C. H. Hennekens et al., “Abdominal adiposity and coronary heart disease in women,” Journal of the American Medical Association, vol. 280, no. 21, pp. 1843–1848, 1998
M. Hanefeld, C. Koehler, S. Gallo, I. Benke, and P. Ott, “Impact of the individual components of the metabolic syndrome and their different combinations on the prevalence of atherosclerotic vascular disease in type 2 diabetes: the Diabetes in Germany (DIG) study,” Cardiovascular Diabetology, vol. 6, article 13, 2007.
S. H. Saydah, J. Fradkin, and C. C. Cowie, “Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes,” Journal of the American Medical Association, vol. 291, no. 3, pp. 335–342, 2004.
K. G. M. M. Alberti, P. Zimmet, and J. Shaw, “Metabolic syndrome—a new world-wide definition. A consensus statement from the International Diabetes Federation,” Diabetic Medicine, vol. 23, no. 5, pp. 469–480, 2006.
S. Tamiru and F. Alemseged, “Risk factors for cardiovascular diseases among diabetic patients in southwest Ethiopia,” Ethiopian Journal of Health Sciences, vol. 20, no. 2, pp. 121–128, 2010.
V. Mogre, P. P. Mwinlenna, and J. Oladele, “Distorted selfperceived weight status and its associated factors among civil servants in Tamale,” Archives of Public Health, vol. 71, no. 1, article 30, 2013.
D. Maher, L. Waswa, K. Baisley, A. Karabarinde, N. Unwin, and H. Grosskurth, “Distribution of hyperglycaemia and related cardiovascular disease risk factors in low-income countries: a cross-sectional population-based survey in rural Uganda,” International Journal of Epidemiology, vol. 40, no. 1, pp. 160–171, 2011.
G. A. Shayo and F. M. Mugusi, “Prevalence of obesity and associated risk factors among adults in Kinondoni municipal district, Dar es Salaam Tanzania,” BMC Public Health, vol. 11, article 365, 2011.
K. W. Wahab, M. U. Sani, B. O. Yusuf, M. Gbadamosi, A. Gbadamosi, and M. I. Yandutse, “Prevalence and determinants of obesity—a cross-sectional study of an adult Northern Nigerian population,” International Archives of Medicine, vol. 4, no. 1, article 10, 2011.
M. E. D´ıaz Sanchez, S. Jim ´ enez Acosta, R. G. Garc ´ ´ıa Roche, M. Bonet Gorbea, and I. Wong Ordo´nez, “Overweight, obesity, ˜ central adiposity and associated chronic diseases in cuban adults,” MEDICC Review, vol. 11, no. 4, pp. 23–28, 2009.
T. Puoane, K. Steyn, D. Bradshaw et al., “Obesity in South Africa: the South African Demographic and Health Survey,” Obesity Research, vol. 10, no. 10, pp. 1038–1048, 2002.
C. U. Odenigbo, O. C. Oguejiofor, and U. M. Odenigbo, “Prevalence of abdominal obesity in senior civil servants in Asaba, Nigeria,” Tropical Journal of Medical Research, vol. 12, no. 2, pp. 1–3, 2008.
P. M. Janiszewski, I. Janssen, and R. Ross, “Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors?” Diabetes Care, vol. 30, no. 12, pp. 3105–3109, 2007.
R. Ayah, M. D. Joshi, R. Wanjiru et al., “A population-based survey of prevalence of diabetes and correlates in an urban slum community in Nairobi, Kenya,” BMC Public Health, vol. 13, no. 1, article 371, 2013.
S. Mehdad, A. Hamrani, K. El Kari et al., “Body mass index, waist circumference, body fat, fasting blood glucose in a sample of Moroccan adolescents aged 11–17 years,” Journal of Nutrition and Metabolism, vol. 2012, Article ID 510458, 7 pages, 2012.
D. S. Freedman, M. K. Serdula, S. R. Srinivasan, and G. S. Berenson, “Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study,” The American Journal of Clinical Nutrition, vol. 69, no. 2, pp. 308–317, 1999.
M. I. Goran and B. A. Gower, “Abdominal obesity and cardiovascular risk in children,” Coronary Artery Disease, vol. 9, no. 8, pp. 483–487, 1998.
N. C. de Souza and E. P. de Oliveira, “Sagittal abdominal diameter shows better correlation with cardiovascular risk factors than waist circumference and BMI,” Journal of Diabetes & Metabolic Disorders, vol. 12, p. 41, 2013.
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