Study of subcutaneous fat, BMI in diabetic and non-diabetic adolescents

Jagdish Vishnoi, B. S. Bomb, K. Ranjith Babu


Introduction: Diabetes is a Metabolic Disorder which has got prime focus in the present days. An increase in body fat is generally associated with an increase in risk of metabolic diseases such as type 2 diabetes mellitus, hypertension and dyslipidaemia. Prevalence of childhood and adolescent obesity is further adding the severity. Therefore, any measures that could prevent or delay the development of diabetes are urgently needed. The present study is focused on early detection of the occurrence of Diabetes so that its control can be more effective because of early intervention.

Materials & Methods: 50 people with increased blood sugar levels of age group of 16-20 years of both the sexes are selected randomly as subjects and 50 people with normal blood sugar levels are randomly selected as control group. Primary data of all the subjects like name, age, sex, occupation, address etc., are obtained as per the proforma. Calculation of Body Fat Percentage (%BF) involves measuring of skin fold thickness at four sites. Body Mass Index (BMI) calculated from Height and Weight of an individual.

Results: The mean value of BMI in Diabetic group is found be 25.64Kg/m2 (SD ±2.22), while in Non-Diabetic group it is found to be 23.35Kg/m2 (SD ±3.95). The mean value of %BF in Diabetic group is 18.20 (SD ± 1.62), while in Non-Diabetic group it is found to be 17.36 (SD ± 1.41). The mean values of RBS in Diabetic group are found be 157.98mg/dl (SD ± 30.37) and 120.66mg/dl (SD ± 21.44) in Non-Diabetic group.

Discussion: In the present study, we observed the correlation of increased subcutaneous fat with increased plasma glucose levels. Increased subcutaneous fat is considered to be an aggravating factor for early development of diabetes. Increased subcutaneous fat is also responsible for increasing the severity of diabetes there by, worsening the condition of the person. By knowing the body subcutaneous fat, the chances of occurrence of diabetes can be known.


Diabetes, Subcutaneous Fat, Body Fat, BMI, Blood Sugar

Full Text:



. World Health Organization. Obesity and Overweight Facts. (accessed March 2007).

. Mokdad AH, Ford ES, Bowman BA, et al. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA 2003; 289: 76–9.

. Ashwell M, Cole TJ, Dixon AK. Obesity: a new insight into the anthropometric classification of fat distribution shown by computed tomography. Br Med J 1985; 301: 203-205.

. DespreÂs J-P, Moorjani S, Lupien PJ, Tremblay A, Nadeau A, Bouchard C. Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease. Arteriosclerosis 1990; 10: 495-551.

. Poirier P., Giles T. D., Bray G. A. et al., “Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on obesity and heart disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism,” Circulation, 2006; 113 (6): 898–918.

. Fontaine K. R., Redden D.T., Wang C., Westfall A. O., and Allison D. B. “Years of life lost due to obesity,” Journal of the American Medical Association, 2003; 289 (2): 187–193.

. Willet WC, Dietz WH, Colditz GA. Guidelines for healthy weight. NEJM 1999; 341: 427-434.

. Durnin JVGA, Womersley J. Body fat assessed from total body density and its estimation from skin fold thickness measurements on 481 men and women. Br J Nutr 1974; 32: 77-79.

. Kuriyan R, Petracchi C, Ferro- Luzzi A, Shetty PS, Kurpad AV. Validation of expedient methods for measuring body composition in Indian adults. Indian J Med Res 1998; 107: 37-45.

. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2006; 29: S43–8.

. Lo Presti D, Ingegnosi C, Strauss K. Skin and subcutaneous thickness at injecting sites in children with diabetes: ultrasound findings and recommendations for giving injection. Pediatr Diabetes 2012; 13: 525–533.

. Seidenari S, Giusti G, Bertoni L, Magnoni C, Pellacani G. Thickness and echogenicity of the skin in children as assessed by 20-MHz ultrasound. Dermatology 2000; 201: 218–222.

. Tan CY, Statham B, Marks R, Payne PA. Skin thickness measurement by pulsed ultrasound: its reproducibility, validation and variability. Br J Dermatol 1982; 106: 657–667.

. Lasagni C, Seidenari S. Echographic assessment of age-dependent variations of skin thickness. Skin Res Technol 1995; 1: 81–85.

. Bliznak J, Staple TW. Roentgenographic measurement of skin thickness in normal individuals. Radiology 1975; 116: 55–60.

. Laurent A, Mistretta F, Bottigioli D, Dahel K, Goujon C, et al. Echographic measurement of skin thickness in adults by high frequency ultrasound to assess the appropriate micro needle length for intradermal delivery of vaccines. Vaccine 2007; 25: 6423–6430.

. Branchet MC, Boisnic S, Frances C, Robert AM. Skin thickness changes in normal aging skin. Gerontology 1990; 36: 28–35.

. Levakov A, Vuckovic N, Dolai M, Kacanski MM, Bozanic S. Age-related skin changes. Med Pregl 2012; 65: 191–195.

. Petrofsky JS, McLellan K, Bains GS, Prowse M, Ethiraju G, et al. Skin heat dissipation: the influence of diabetes, skin thickness, and subcutaneous fat thickness. Diabetes Technol Ther 2008; 10: 487–493.

. Petrofsky JS, Prowse M, Lohman E. The influence of ageing and diabetes on skin and subcutaneous fat thickness in different regions of the body. J Appl Res 2008; 8: 55.

. Shuster SAM, Black MM, McVitie EVA. The influence of age and sex on skin thickness, skin collagen and density. Br J Dermatol 1975; 93: 639–643.


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


  • There are currently no refbacks.

Copyright (c) 2017 International Journal of Biomedical and Advance Research

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