Acta Scientific Orthopaedics (ISSN: 2581-8635)

Research Article Volume 5 Issue 3

Relationship Between Body Composition and Body Mass Index in Obese Women

Mohamed Ridha Guedjati1*, Khaoula Lachekhab2 and Abdelaziz Adjali2

1Professor, Department of Clinical Physiology and Metabolic Explorations and Nutrition, Benflis Touhami University Hospital of Batna, Algeria
2Doctor, Department of Clinical Physiology and Metabolic Explorations and Nutrition, Benflis Touhami University Hospital of Batna, Algeria

*Corresponding Author: Mohamed Ridha Guedjati, Professor, Department of Clinical Physiology and Metabolic Explorations and Nutrition, Benflis Touhami University Hospital of Batna, Algeria.

Received: January 25, 2022; Published: February 22, 2022


Objective: The aim of our work is to study the links between anthropometric parameters and body composition obtained by bioelectric impedancemetry in case of obese women of peri- menopausal age.

Method and Materials: 154 obese women were classified according to their degree of obesity according to WHO criteria. The analysis of body composition was performed by impedancemetry. Pearson's (r) and Spearman's (r2) correlations were calculated to check the relationships between age, weight, BMI, as well as total and segmental body fat composition.

Results: 154 women of mean age 40.20 ± 13.13 years, obese, mean BMI 38.66 ± 6.56 Kg/m2 participated in our study. Impedance reduced an average total fat mass% (TFM%) of 45.39 ± 5.67%. BMI is strongly correlated with TFM% (r = 0.73; r2 = 0.82; p ≥ 0.05). For obesity stages 1-2, weight is correlated with BMI (r-r2 > 0.40; p ≤ 0.001). Likewise, a strong correlation exists between weight and TFM in Kg (r2 = 0.82; p ≥ 0.05). For a BMI ≥ 35 Kg/m2, weight is inversely correlated with age [r2 ≥ (-0.36); p ≤ 0.003]. The FM of the trunk (Kg) is correlated with the weight for obesity grade 3 (r = 0.49; p = 0.0002) and whatever the stage of obesity at the BMI (r ≥ 0.32; p ≤ 0.02).

Conclusion: The use of bioelectrical impedancemetry in the diagnostic management of obese people is quite useful. This tool gives us better information on the location and distribution of fatty tissue.

Keywords: Obesity; Impedancemetry; Total Fat Mass; Body Composition; BMI


  1. Abelson P. “The Obesity Epidemic”. Science5676 (2004): 1413-1413.
  2. Haslam D and James W. “Obesity”. The Lancet9492 (2005): 1197-1209.
  3. Kelly T., et al. “Global burden of obesity in 2005 and projections to 2030”. International Journal of Obesity 9 (2008): 1431-1437.
  4. World Health Organization. “Obesity: preventing and managing the global epidemic”. Report of a WHO Consultation on Obesity. (WHO technical report series) (1998).
  5. Organisation Mondiale de la Santé (OMS) | Obésité: prévention et prise en charge de l’épidémie mondiale. Rapport d’une Consultation de l’OMS, Genève (2003).
  6. Quetelet LAJ. “Comparative statistics in the 19th Farnborough. United Kingdom: Gregg International Publishers 1973”. A treatise on man and the development of his faculties. Edinburgh. United Kingdom: William and Robert Chambers (1842).
  7. World Health Organization. “Physical status: the use and interpretation of anthropometry”. Report of a WHO expert committee. (WHO technical report series) (1995).
  8. Javed F., et al. “Association of BMI and Cardiovascular Risk Stratification in the Elderly African-American Females”. Obesity 6 (2010): 1182-1186.
  9. Guedjati M., et al. “Profil MHO-MUHO des femmes obèses en utilisant deux types de critères de definition”. Annales d'Endocrinologie4 (2018): 503.
  10. Guedjati M., et al. “Profils métaboliques des femmes obèses”. Batna Journal of Medical Sciences bjms [En ligne] 6 (2019): 93-96.
  11. Lin T., et al. “Normal-weight obesity and clinical outcomes in nondiabetic chronic kidney disease patients: a cohort study”. The American Journal of Clinical Nutrition4 (2018): 664-672.
  12. Franco L., et al. “Normal-weight obesity syndrome: diagnosis, prevalence, and clinical implications”. Nutrition Reviews9 (2016): 558-570.
  13. Oliveros E., et al. “The Concept of Normal Weight Obesity”. Progress in Cardiovascular Diseases4 (2014): 426-433.
  14. Romero-Corral A., et al. “Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality”. European Heart Journal6 (2009): 737-746.
  15. Gupta S and Kapoor S. “Optimal Cut-Off Values of Anthropometric Markers to Predict Hypertension in North Indian Population”. Journal of Community Health2 (2011): 441-447.
  16. Gómez-Ambrosi J., et al. “Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity”. International Journal of Obesity2 (2011): 286-294.
  17. Das S., et al. “Body composition assessment in extreme obesity and after massive weight loss induced by gastric bypass surgery”. American Journal of Physiology-Endocrinology and Metabolism6 (2003): E1080-E1088.
  18. Das S. “Body composition measurement in severe obesity”. Current Opinion in Clinical Nutrition and Metabolic Care6 (2005): 602-606.
  19. Sartorio A., et al. “Body water distribution in severe obesity and its assessment from eight-polar bioelectrical impedance analysis”. European Journal of Clinical Nutrition2 (2004): 155-160.
  20. De Cleva R. “Body Composition Evaluation in Severe Obesity: A Critical Review”. Advances in Obesity, Weight Management and Control6 (2016).
  21. Berentzen T and Sørensen T. “Effects of Intended Weight Loss on Morbidity and Mortality: Possible Explanations of Controversial Results”. Nutrition Reviews11 (2006): 502-507.
  22. Müller M., et al. “Beyond the body mass index: tracking body composition in the pathogenesis of obesity and the metabolic syndrome”. Obesity Reviews 13 (2012): 6-13.
  23. Mialich M., et al. “Cutoff points of BMI for classification of nutritional status using bioelectrical impedance analysis”. Journal of Electrical Bioimpedance1 (2018): 24-30.
  24. Khalil S., et al. “The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases”. Sensors 6 (2014): 10895-10928.
  25. Nyboer J. In: Electrical Impedance Plethysmograph. 2nd ed. Thomas C., editor. Thomas publishers Springfield, IL, USA (1970).
  26. Hoffer EC., et al. “Correlation of whole-body impedance with total body water volume”. Journal of Applied Physiology 27 (1969): 531-534.
  27. Mialich MS., et al. “Analysis of body composition: A critical review of the use of bioelectrical impedance analysis”. International Journal of Clinical Nutrition 2 (2014): 1-10.
  28. Pietrobelli A., et al. “New bioimpedance analysis system: improved phenotyping with whole-body analysis”. European Journal of Clinical Nutrition11 (2004): 1479-1484.
  29. Sluyter J., et al. “Prediction of Fatness by Standing 8-Electrode Bioimpedance: A Multiethnic Adolescent Population”. Obesity1 (2010): 183-189.
  30. Leal A., et al. “Bioimpedance analysis: Should it be used in morbid obesity?”. American Journal of Human Biology3 (2011): 420-422.
  31. Coppini L., et al. “Limitations and validation of bioelectrical impedance analysis in morbidly obese patients”. Current Opinion in Clinical Nutrition and Metabolic Care3 (2005): 329-332.
  32. Sharma A. “Obesity and cardiovascular risk”. Growth Hormone and IGF Research 13 (2003): S10-S17.
  33. Kyle U., et al. “Fat-free and fat mass percentiles in 5225 healthy subjects aged 15 to 98 years”. Nutrition7-8 (2001): 534-541.
  34. Berker D., et al. “Compatibility of different methods for the measurement of visceral fat in different body mass index strata”. Diagnostic and Interventional Radiology2 (2010): 99-105.
  35. Minderico C., et al. “Usefulness of different techniques for measuring body composition changes during weight loss in overweight and obese women”. British Journal of Nutrition2 (2008): 432-441.
  36. Fakhrawi D., et al. “Comparison of Body Composition by Bioelectrical Impedance and Dual-Energy X-Ray Absorptiometry in Overweight/Obese Postmenopausal Women”. Journal of Clinical Densitometry2 (2009): 238-244.
  37. Gallagher D., et al. “Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index”. The American Journal of Clinical Nutrition3 (2000): 694-701.
  38. Ranasinghe C., et al. “Relationship between Body mass index (BMI) and body fat percentage, estimated by bioelectrical impedance, in a group of Sri Lankan adults: a cross sectional study”. BMC Public Health1 (2013): 797.
  39. Ragini B., et al. “Prediction of body fat using segmental body composition by bioelectrical impedance in the evaluation of obesity”. ARPN Journal of Engineering and Applied Sciences8 (2016): 3627-3632.
  40. Binh T and Nhung B. “Prevalence and risk factors of type 2 diabetes in middle-aged women in Northern Vietnam”. International Journal of Diabetes in Developing Countries2 (2015): 150-157.
  41. Singh A., et al. “Relationship between body mass index and percentage of body fat, estimated by bio-electrical impedance among adult females in a rural community of North India: A cross-sectional study”. Journal of Postgraduate Medicine3 (2019): 134.
  42. Meeuwsen S., et al. “The relationship between BMI and percent body fat, measured by bioelectrical impedance, in a large adult sample is curvilinear and influenced by age and sex”. Clinical Nutrition5 (2010): 560-566.
  43. Jackson A., et al. “The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study”. International Journal of Obesity6 (2010): 789-796.
  44. Gallagher D., et al. “How Useful Is Body Mass Index for Comparison of Body Fatness across Age, Sex, and Ethnic Groups?”. American Journal of Epidemiology 3 (1996): 228-239.
  45. Deurenberg P., et al. “Body composition changes assessed by bioelectrical impedance measurements”. The American Journal of Clinical Nutrition3 (1989): 401-403.
  46. Rush E., et al. “Body size, body composition and fat distribution: comparative analysis of European, Maori, Pacific Island and Asian Indian adults”. British Journal of Nutrition4 (2009): 632.
  47. Yusuf S., et al. “Obesity and the risk of myocardial infarction in 27 000 participants from 52 countries: a case- control study”. The Lancet9497 (2005): 1640-1649.
  48. Roth SM., et al. “Strength training for the prevention and treatment of sarcopenia”. The Journal of Nutrition, Health and Aging 3 (2000): 143-155.
  49. Roubenoff R and Hughes V. “Sarcopenia: Current Concepts”. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences12 (2000): M716-M724.
  50. Ritz P., et al. “Influence of gender and body composition on hydration and body water spaces”. Clinical Nutrition 5 (2008): 740-746.
  51. Brøchner-Mortensen J., et al. “Renal function and body composition before and after intestinal bypass operation in obese patients”. Scandinavian Journal of Clinical and Laboratory Investigation 8 (1980): 695-702.
  52. Visser F., et al. “Rise in Extracellular Fluid Volume During High Sodium Depends on BMI in Healthy Men”. Obesity 9 (2009): 1684-1688.
  53. Guedjati M., et al. “Identification du profil bio- impédancemètrique chez des femmes obèses”. Annales d'Endocrinologie4 (2001): 509.
  54. Liang X., et al. “Study on body composition and its correlation with obesity”. Medicine 21 (2018): e10722.
  55. Wu Y., et al. “Using appropriate pre-pregnancy body mass index cut points for obesity in the Chinese population: a retrospective cohort study”. Reproductive Biology and Endocrinology1 (2018).
  56. Abulmeaty M., et al. “Impedancemetry vs. anthropometry in the prediction of body adiposity and obesity diagnosis”. Progress in Nutrition1 (2016): 39-46.


Citation: Mohamed Ridha Guedjati., et al. “Relationship Between Body Composition and Body Mass Index in Obese Women".Acta Scientific Orthopaedics 5.3 (2022): 57-66.


Copyright: © 2022 Mohamed Ridha Guedjati., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate33%
Acceptance to publication20-30 days

Indexed In

News and Events

  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is April 30th, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue".
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US