| ORIGINAL ARTICLE |
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| Year : 2016 | Volume
: 1
| Issue : 3 | Page : 5-7 |
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Anthropometric and metabolic profile of obesity
Ghouini Ahmed, Djoghlaf Djamel El Harb, Rahal Lotfi
Faculty of Medicine, University of Blida Blida, Algeria
Correspondence Address:
Ghouini Ahmed
Faculty of Medicine, University of Blida Blida
Algeria
 Source of Support: None, Conflict of Interest: None
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Introduction: Obesity is excess fat with adverse health consequences, because of the many complications that it generates during its evolution. Objective: We aim to establish the correlation between anthropometric parameters and metabolic profile. In Algeria, the correlations between the morphological and metabolic and nutritional status are not enough documented. Material and methods: Our study included a cohort of 208 subjects aged between 40 and 60 including 67 subjects at normal weight and 141 subjects with an overweight of a body mass index BMI (weight in kg/height in m2) at 26 to 35. Assessment of anthropometric profile took into account the BMI and waist circumference. Body composition and energy expenditure were determined by bioelectrical impedance kind QUADSCAN 4000. Measurements of blood glucose and insulin were performed on COBAS INTEGRA 400 plus ROCHE; HOMA index was calculated by the following formula: insulin (mU / L) X glucose (mmol / L) /22.5, The Statistical Package of Social Sciences (SPSS 17.0) was used to perform statistical analysis. Results: It is found in our study, an increase in basal energy expenditure in obese subjects compared to other statutes weight is 1827 Kcal / versus 1570 kcal / (P < 0.001). It is also observed an increase in lean body mass in obese subjects (59 kg) compared to overweight subjects (51 kg) and normal weight subjects (47 kg); the difference is significant at P < 0.001. On the other hand, there is a significant difference between insulin levels in overweight subjects compared to controls (P <0.05). Conclusion: The results of our study support the following assumptions: lean mass rate is proportional to the weight., the distribution of body fat has no direct influence on the basis of energy expenditure. furthermore, there is a positive correlation between HOMA insulin resistance index and anthropometric parameters. Therefore, a nutrition and sports education program could positively impact on comorbidities accompanying this disease that poses a major public health problem.
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