Anthropometric Indices-A Tool for Safeguard Alert to Offspring of Diabetic and Hypertensive Parents

Neenu Khanna; Sharma Ram Sarup

doi:10.18579/jpcrkc/2015/14/3/85277

Article

Anthropometric Indices-A Tool for Safeguard Alert to Offspring of Diabetic and Hypertensive Parents

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Journal of Pharmaceutical Research

DOI: 10.18579/jpcrkc/2015/14/3/85277

Year: 2015, Volume: 14, Issue: 3, Pages: 61-65

Original Article

Anthropometric Indices-A Tool for Safeguard Alert to Offspring of Diabetic and Hypertensive Parents

Neenu Khanna 1*, Sharma Ram Sarup 2

Department of Physiology, GGS Medical College, Baba Farid University of Health Sciences, Faridkot -151 203, Punjab, India
Department of Physiology, Govt. Medical College, Circular Road, Amritsar -143001, Punjab, India

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background: Family history represents the integration of shared genomic and environment risk factors. This suggests that family history might be a practical and useful way to target interventions and disease prevention efforts of the prone population. Anthropometry provides the single most portable, universally applicable, cost-effective and non-invasive technique for assessing the size, proportions and composition of the human body. Basic anthropometric measurements and their derived indices are used as indicators for the presence of diseases and their assessment in clinical practice. Purpose: Present work has been carried out to determine whether such abnormalities can be detected in healthy young adults with a family history of type 2 diabetes mellitus, hypertension at an early age that may presage the onset of these chronic diseases. Methodology: The study was conducted among 400 healthy adults (20-30 years of age). The derived indices were determined from the basic anthropometric measurements. Results: The various basic and derived anthropometric indices showed changes in healthy adult offspring from type 2 diabetes mellitus and hypertensive parents. Conclusion: All the derived anthropometric indices like BMI, WHR, WHtR reflect significantly increased value in young healthy adults (20-30yrs of age) having positive family history of both the chronic diseases type 2 diabetes mellitus and hypertension.

References

King H, Rewers M. Diabetes in adults is now a third World problem. The WHO Ad Hoc Diabetes Reporting Group, Bull. WHO. 1991; 69: 643-8.

Brussel, Belgium. Diabetes Atlas: Executive summary 2nd ed.lnt Diabet Fed. 2003; 2:7-23.

Mehta SR, KashyapAS, Das S. Diabetes mellitus in India: The modern scourge. MJAFI. 2009; 65:50-4.

Samata Padaki, K Vijayakrishna, Amrut Dambal, Roopa Ankad, R Manjula, Chinagudi Surekharani,et al. Anthropometry and physical fitness in individuals with family history of type-2 diabetes mellitus. A comparative study. Indian Journal of Endocrinology and Metabolism. 2011 ;15(4): 327-30

Seidell JC, Kahn HS, Williamson DF, Lissner Land Valdez R. Report from a Center for Disease Control and Prevention Workshop on Use of Adult Anthropometry for Public Health and Primary Health Care.AmJ Nut. 2001; 73(1):123-6.

Erikson J, Lindstrom J, Tuomiletho J. Potential for the prevention of type 2 diabetes. Brit Med Bull. 2001; 60:183-99.

Hai RA, Raghi HE, Razik MA, Kamal N. The role of anthropometric indices in predicting comorbidities of obesity in a rural Egyptian population. Int J FS Nut Pub H. 2010; 3(1):16-26.

Li M, McDermott RA. Using anthropometric indices to predict cardio-metabolic risk factors in Australian indigenous populations. Diabetes Res Clin Pract. 2010 Mar; 87(3):401-6.

Praveen EP, Sahoo J, Khurana ML, Kulshreshtha B, Khadgawat R, Gupta N et al. Insulin sensitivity and beta-cell function in normoglycemic offspring of individuals with type 2 diabetes mellitus: Impact of line of inheritance. Indian J Endocrinol Metab. 2012; 16: 105-11.

Qureshi N, Wilson B, Santaguida P, Little J, Carroll J, Allanson J et al. Family History and Improving Health. Evidence ReporU Technology Assessment. AHRQ Publication. 2009Aug;186:1-4.

C HTTam, YWang,J Luan, H M Lee,AOYLuk, G E Tutino, P C Y Tong, A P S Kong, W Y So, J C N Chan and R C W Ma . Maternal history of diabetes is associated with increased cardiometabolic risk in Chinese. Nutrition & Diabetes. (2014) 4, e112; doi:1 0.1 038/nutd.2014.9

Huxley R, Mendis S, Zheleznyakov E, Reddy S, Chan J. Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk. EurJ Clin Nutr. 2010; 64:16-22

World Health Organization. Diabetes Programme [Online]. 2007 [cited 2007 Jul 9]; Available from:URL:http://www.who.intldiabetes/

The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2003; 26:5-20.

Muhammad SK, Prasanth NV, Dilip C, Danisha P, Zainul A, Seena. Assessment of risk factors among type 2 diabetic populations in South Malabar region of Kerala.Arch Appl Sci Res. 2010;2 (4):313-23.

MacKay MF. Evaluating alternate anthropometric measures as predictors of incident type 2 diabetes mellitus (T2DM): The Insulin Resistance Atherosclerosis study (IRAS). Department of Nutritional Sciences, Toronto University; 2008.

Dvora S, Steven BA, Thomas L, Maude LB, Jeffrey DW, Linda DY, et al. Epidemiology and Factor Analysis of Obesity, Type II Diabetes, Hypertension and Dyslipidemia (Syndrome X) on the island of Kosrae, Federated States of Micronesia. Hum Hered. 2001 ;51 :8-19.

Saoudarssanane MB, Karthigeyan M, Stephen S, Sahai A. Key Predictors of High Blood Pressure and Hypertension among Adolescents. Indian J Com Med. 2006; 31 (3):164-9.

Lal S, Adarsh, Pankaj, editors. Epidemiology of Non-communicable Diseases and National Health Programme. In: Text book of Community Medicine (Preventive & Social Medicine). 1st ed. New Delhi: CBS Publishers and Distributors.2007;493-503

Shah A, Bhandary S, Malik SL, Risal P, Koju R. Waist circumference and waist-hip ratio as predictors of type 2 diabetes mellitus in the Nepalese population of Kavre District. Nepal Med Coli J. 2009;11 (4): 261-7.

Giampietro 0, Virgone E, Carneglia L, Griesi E, Calvi D, Matteucci E. Anthropometric indices of school children and familiar risk factors. Prev Med. 2002 Nov; 35(5):492-8.

Jimoh KA, Adediran OS, Agboola SM, Olugbodi DT, Idowu AA, Adebisi SA et al. A Study of Correlation between Derived and BasicAnthropometric Indices in Type 2 Diabetes Mellitus. Eur J Sci Res. 2009; 36(3):437-44.

Hsieh SD, Muto T and Yoshinaga H. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk. Int J Obes. 2003; 27:610-6.

Ho S, Chen Y, Woo J, Leung S, Lam T, Janus E. Association between simple anthropometric indices and cardiovascular risk factors. Int JObes. 2001; 25(11 ):1689-97.

Schneider H, Glaesmer H, Klotsche J, Bohler S, Lehnert H, Zeiher A, et al. Detect study group. Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. JCEM 2007; 92(2):58994.

Snijder M, Zimmet P, Visser M, Dekker J, Seidell J, Shaw J. Independent and opposite associations of waist and hip circumference with diabetes, hypertension and dyslipidemia. Aus Diab Study 2004; 28:402-9.

Seidell J, Perusse L, Despres J, Bouchard C. Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J Clin Nutr. 2001; 74:315-21.

Berenson GS, Bao Wand Srinivasan SR. Abnormal characteristics in young offspring of parents with Non-insulin-dependent Diabetes Mellitus. Am J Epidemiol.1996; 144(10):962-7.

Badaruddoza, Kaur Navneet, Basanti Barna. Interrelationship of waist-to-hip ratio (WHR), body mass index (BMI) and subcutaneous fat with blood pressure among university-going Punjabi Sikh and HinduQureshi N, Wilson B, Santaguida P, Little J, Carroll J, AIIanson J et al. Family History and Improving Health. Evidence ReporU Technology Assessment.AHRQPublication.2009Aug;186:1-4.

Haffner SM. Obesity and the metabolic syndrome: The San Antonio Heart Study. BJN. 2000; 83(1 ):6770.

Abdullah A, Stoelwinder J, Shortreed S, Wolfe R, Stevenson R, Walls H et al. The duration of obesity and the risk of type 2 diabetes. Public health nutrition 2010;1-8. Available from :URL: www.ncbi.nlm.nih.gov

Chathurvedi D, Khadgawat R, Kulshrestha B, Gupta N, Joseph AA, Diwedi S et al. Type 2 Diabetes Increases Risk for Obesity Among Subsequent Generations. Diabet Tech Therap. 2009; 11 (6):393-8.

Ashwell M, Hsieh S. Six reasons why the waist to height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity.lntJ Food Sci Nutr. 2005; 56:303-7.

Hara M, Saitou E, Iwata F, Okada T, Harada K. Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese schoolchildren. JAtherThromb. 2002;9:127-32.