Comparison Of Anthropometric Indicator of General Obesity (BMI) To Anthropometric Indicators of Central Obesity (WC, WHR) In Relation to Diabetes Mellitus in Male Population

Authors

  • Divyangkumar N Patel SBKS Medical Institute and Research centre, Piparia, Gujarat
  • M P Singh Government Medical College, Bhavnagar, Gujarat, India

Keywords:

Obesity indicators, ROC curve, Diabetes mellitus

Abstract

Objective: -To evaluate and compare predictor for Diabetes mellitus among anthropometric indicators of obesity (Body Mass Index, Waist circumference and Waist to Hip Ratio).

Method: - The present study was conducted among policemen of the Bhavnagar city, total 260 policemen of ≥ 30 years of age included in the study (Response rate 83 %). The fasting and 2 hour postprandial blood glucose test was done for diagnosis of the diabetes and According to American Diabetes Association (2004) criteria subjects was diagnosed as a diabetic, prediabetic (Impaired Fasting Glucose and Impaired Glucose Tolerance) and normoglycemic. BMI, waist circumference and Waist to hip ratio of every subject was measured. Receiver operator characteristic curve was constructed to determine the optimal value of each parameter to diagnose the diabetes and compare the all three anthropometric indicator for predicting the diabetes.

Result: Higher area under curve was found with WHR, than WC and lowest with BMI. It was 0.764, 0.751, and 0.611 for WHR, WC and BMI respectively. Optimum cut off points for predicting diabetes are 0.948, 98 cm and 25 for WHR, WC and BMI respectively. Higher Youden index found for WHR and WC than BMI.

Conclusion: our study shows that the anthropometric indicators of central obesity (WHR and WC) are better predictive of diabetes mellitus than Anthropometric indicator of general obesity (BMI).

References

Anjana RM, Ali MK, Deepa M, Dutta M et al. The need for obtaining accurate nationwide estimates of diabetes prevalence in India - Rationale for a national study on diabetes. Indian Journal of Medical Re-search. 2011; 133: 369-380.

Indian Council for Research on International Econom-ic Relations. A Report of Prevention and control of non communicable disease: status and strategies. New Delhi, India. 2003: 1-30.

World Health Organization, Regional Office for South-East Asia, New Delhi. Surveillance of Major Noncommunicable Diseases In The South-East Asia Region. New Dehli, India. 2001: p1-34.

Reddy KS, Shah B, Varghese C, et al. Responding to the threat of chronic diseases in India. The Lancet. 2005; 366(9498): 1744 –1749.

International Diabetes Federation. IDF 5th Diabetes Atlas. Belgium. Indian diabetes Federation, 2011.

Mohan V, Rao Gundu HR. Type 2 Diabetes in South Asian: Epidemiology, Risk Factors and Prevention, 1st ed. New Delhi. Jaypee Brothers Medical Publishers (P) Ltd; 2007: p138-152.

Mohan V, Sandeep S, Deepa R, Shah B et al. Epidemi-ology of type 2 diabetes: Indian scenario. Indian J Med Res. March. 2007; 125: 217-230.

World Health Organization. Reducing Risks, Promot-ing Healthy Life. Geneva, Switzerland: World Health Organization; 2002. p09.

Mokdad AH, Ford ES, Bowman BA, Dietz WH et al. Prevalence of obesity, diabetes, and obesity-related health risk factors. JAMA. 2003; 289: 76-79.

Ford ES, Williamson DF, Liu S. Weight change and diabetes incidence: findings from a national cohort of US adults. Am J Epidemiol. 1997; 146: 214-222.

Koh-Banerjee P, Wang Y, Hu FB, et al. Changes in body weight and body fat distribution As risk factors for clinical diabetes in US men. Am J Epidemiol. 2004; 159: 1150-1159.

Rexrode KM, Carey VJ, Hennekens CH, Walter EE, Coldotz GA, Stampfer MJ, Willett WC, Manson JE. Abdominal Adiposity and coronary heart disease in women. JAMA. 1998; 280(21):1843-1848.

Park. K, Non Communicable disease, Textbook of preventive and Social medicine, 21th edition, Jabalpur (India), M/s Banarsidas Bhanot Publisher; 2011: p335-379.

World Health organization. Waist Circumference and Waist-Hip Ratio Report of a WHO Expert. Geneva. WHO, December 2008: p27-33.

Vague J. Sexual differentiation. A factor affecting the forms of obesity. Press Med. 1947; 30: 339–340.

Vague J. The degree of masculine differentiation of obesities: a factor determining predisposition to dia-betes, atherosclerosis, gout, and uric calculous dis-ease. Am J Clin Nutr. 1956; 4: 20–34.

Pouliot MC, Despres JP, Lemieux S et al. Waist cir-cumference, and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovas-cular risk in men and women. Am J Cardiol. 1994; 73: 460–468.

Lean ME, Han TS, Morrison CE. Waist circumference as a measure for indicating need for weight manage-ment. BMJ. 1995; 311: 158–161.

Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol.1996;143:228–239.

Lin W-Y, Lee L-T, Chen C-Y, Lo H, Hsia H-H, Liu I-L, et al. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes. 2002; 26:1232–1238.

Lorenzo C, Serrano-Rios M, Martinez-Larrad MT, Gonzalez-Villalpand C, Williams K, Gabril R, et al. Which obesity index best explains prevalence differ-ences in type 2 diabetes mellitus? Obes.2007;15:1294–1301.

Farzad Hadaegh, Gita Shafiee, Fereidoun Azizi. An-thropometric predictors of incident type 2 diabetes mellitus in Iranian women. Ann Saudi Med. 2009; 29(3): 194–200.

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Published

2013-09-30

How to Cite

1.
Patel DN, Singh MP. Comparison Of Anthropometric Indicator of General Obesity (BMI) To Anthropometric Indicators of Central Obesity (WC, WHR) In Relation to Diabetes Mellitus in Male Population. Natl J Community Med [Internet]. 2013 Sep. 30 [cited 2024 Nov. 21];4(03):377-80. Available from: https://njcmindia.com/index.php/file/article/view/1537

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Original Research Articles