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Discrepancy in the results of the assessment of body component composition measured in the same individuals by different methods

https://doi.org/10.47529/2223-2524.2025.3.2

Abstract

Aim: compare the indicators of body component composition obtained using «smart scales» with the values calculated using standard formulas based on anthropometry data.

Materials and methods: 60 people (37 girls, 23 boys) were examined. The data obtained on measurements of skin fold thickness, girths and diameters, as well as information on body composition obtained using two «smart scale» models, were tabulated and further processed.

Results: when measuring body composition using two «smart scales» models and anthropometric formulas, male participants showed statistically significant differences in muscle mass (formulas — 46.67 % ± 1.06 %, OCOC — 38.80 % ± 1.46 %, PICOOC — 40.13 % ± 1.6 %; p<0.01), bone mass (formulas — 12.3 % ± 0.4 %, OKOK — 4.3 % ± 0.1 %, PICOOC — 4.37 % ± 0.13 %; p < 0.01), fat mass (formulas — 12.47 % ± 0.68 %, OKOK — 25.41 % ± 1.76 %, PICOOC — 23.17 % ± 1.74 %; p < 0.01) and the rate of basic metabolism (formulas — 1948.7 ± 48.5 kcal, OCOC — 1675.5 ± 50.8 kcal, PICOOC — 1718.2 ± 47.6 kcal; p < 0.01). There were also found significant differences in muscle mass (formulas — 50.36 % ± 0.66 %, OKOK — 39.51 % ± 1.17 %, PICOOC — 39.86 % ± 1.38 %; p < 0.01), bone mass (formulas — 9.4 % ± 0.18 %, OKOK — 5.11 % ± 0.07 %, PICOOC — 4.72 ± 0.07 %; p < 0.01) and fat mass (formulas — 15.86 ± 0.51 %, OCOC — 24.99 ± 0.99 %, PICOOC — 23.16 ± 0.89 %; p < 0.01) in women, however no statistically significant differences in the rate of basic metabolism were found (p > 0.05). There are also discrepancies in the bone mass indices of women obtained from different weight models (OCOC — 5.11 % ± 0.07 %, PICOOC — 4.72 ± 0.07 %; p < 0.05).

Conclusion: the discrepancies obtained indicate the need for further research to determine the accuracy of the methods used. Despite the availability of «smart scales» and anthropometric formulas for determining the component composition of a body, it is worthwhile combining several methods for determining the component composition of a body in order to eliminate a systematic error.

About the Authors

A. E. Strizhkov
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Alexey E. Strizhkov, M.D., Ph.D. (Medicine), Associate Professor of the Department of Human Anatomy and Histology

8 Trubetskaya str., Moscow, 119991



T. S. Zharikova
I.M. Sechenov First Moscow State Medical University (Sechenov University); Lomonosov Moscow State University
Russian Federation

Tatyana S. Zharikova, M.D., Ph.D. (Medicine), Associate Professor of the Department of Human Anatomy and Histology; Associate Professor of the Department of Normal Anatomy with a course in Topographic Anatomy and Operative Surgery at the Faculty of Fundamental Medicine

8 Trubetskaya str., Moscow, 119991;

1 Leninskie Gory, Moscow, 119991



A. A. Moiseenko
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Alexander A. Moiseenko, student of the scientific track of the individual educational trajectory of the N.V. Sklifosovsky ICM

119048, Moscow, Trubetskaya str., 8, building 2



P. G. Safronov
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Peter G. Safronov, student of the scientific track of the individual educational trajectory of the N.V. Sklifosovsky ICM

119048, Moscow, Trubetskaya str., 8, building 2



E. S. Kutin
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Evgeniy S. Kutin, student of the scientific track of the individual educational trajectory of the N.V. Sklifosovsky ICM

119048, Moscow, Trubetskaya str., 8, building 2



S. S. Ovchinnikova
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Sabina S. Ovchinnikova, student of the N.V. Sklifosovsky ICM

8 Trubetskaya str., Moscow, 119048



N. V. Mikhailova
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Nicole-Stefania V. Mikhailova, student of the N.V. Sklifosovsky ICM

8 Trubetskaya str., Moscow, 119048



P. S. Suslina
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Polina S. Suslina, student of the N.V. Sklifosovsky ICM

8 Trubetskaya str., Moscow, 119048



V. N. Nikolenko
I.M. Sechenov First Moscow State Medical University (Sechenov University); Lomonosov Moscow State University
Russian Federation

Vladimir N. Nikolenko, M.D., D.Sc. (Medicine), Professor, Head of the Department of Human Anatomy and Histology; Head of the Department of Normal Anatomy with a course in Topographic Anatomy and Operative Surgery, Faculty of Fundamental Medicine

8 Trubetskaya str., Moscow, 119991;

1 Leninskie Gory, Moscow, 119991



References

1. Vybornaya K.V., Timonin A.N., Semenov M.M., Lavrinenko S.V., Radzhabkadiev R.M., Klochkova S.V., Nikitjuk D.B. Assessment of the body composition of football players based on anthropometry and bioimpedansometry data and a comparison of two registration methods. Sports medicine: research and practice. 2020;10(4):55–63 (In Russ.). https://doi.org/10.47529/2223-2524.2020.4.2

2. Ross K.M., Wing R.R. Concordance of In-Home “Smart” Scale Measurement with Body Weight Measured In-Person. Obes. Sci. Pract. 2016;2(2):224–248. https://doi.org/10.1002/osp4.41

3. Frija-Masson J., Mullaert J., Vidal-Petiot E., Pons-Kerjean N., Flamant M., d’Ortho M.P. Accuracy of Smart Scales on Weight and Body Composition: Observational Study. JMIR Mhealth Uhealth. 2021;9(4):e22487. https://doi.org/10.2196/22487

4. Nikolenko V.N., Nikitjuk D.B., Chava S.V. Russian constitutional anatomy in the aspect of personalized medicine. Sechenov Medical Journal. 2013;4(14):9–17. (In Russ.)

5. Galitskaya D.A., Konstantinova O.V., Prosyannikov M.Y., Shaderkin I.A., Apolikhin O.I. IT-medical instruments for modification of lifestyle in patients with urolithiasis. Experimental and Clinical Urology. 2021;14(1):78–86. (In Russ.). https://doi.org/10.29188/2222-8543-2021-14-1-78-86

6. Radzhabkadiev R.М., Vybornaya K.V., Martinchik A.N., Timonin A.N., Baryshev M.A., Nikityuk D.B. Anthropometric parameters and component body composition of athletes in non-game sports. Sports medicine: research and practice. 2019;9(2):46–54. (In Russ.). https://doi.org/10.17238/ISSN2223-2524.2019.2.46

7. Zharikov Y.О., Maslennikov R.V., Zharikova Т.S., Gadjiakhmedova А.Н., Aliyeva А.М., Ponte-Silva А., Nikolenko V.N. Changes in the component body composition in the liver and modern approaches to their assessment. Crimean Journal of Internal Diseases. 2023;3:52–57. (In Russ.)

8. Bezuglov E.N., Krasnozhan Y.A., Stukalov E.A., Rossiyskiy S.A., Yardoshvili A.E., Usmanovа E.M. Professional football players state monitoring during the competitions. Sports science bulletin. 2011;3:25–30. (In Russ.).

9. Antonov A.G., Vybornov V.D., Balandin M.Y., Rybakova P.D., Badtieva V.A., Nikityuk D.B. Practical guidelines for standardising the measurement of resting metabolism by indirect calorimetry: a literature review. Sports medicine: research and practice. 2022;12(4):22–28. (In Russ.). https://doi.org/10.47529/2223-2524.2022.4.7

10. Martirosov E.G., Nikolaev D.V., Rudnev S.G. Technologies and methods of human body composition assessment. Moscow: Nauka; 2006. (In Russ.).

11. Nikityuk D.B., Nikolenko V.N., Klochkova S.V., Minnibaev T.S. Body mass index and other anthropometric parameters of the physical state in relation with age and individual-typological specific of women constitution. Voprosy pitaniia [Problems of Nutrition]. 2015;84(4):47–54. (In Russ.).

12. Majeika J. The testing of physical efficiency. Am. J. Phys. Anthropol. 1921;4(3): 223–230. https://doi.org/10.1002/ajpa.1330040302

13. Lee R.C., Wang Z., Heo M., Ross R., Janssen I., Heyms-field S.B. Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. Am. J. Clin. Nutr. 2000;72(3):796–803. https://doi.org/10.1093/ajcn/72.3.796

14. Razina A.О., Runenko S.D., Achkasov E.Е. Obesity: Current Global and Russian Trends. Annals of the Russian Academy of Medical Sciences. 2016;71(2):154–159. (In Russ.). https://doi.org/10.15690/vramn655

15. Razina A.O., Achkasov E.E., Runenko S.D. Obesity: the modern approach to the problem. Obesity and metabolism. 2016;13(1):3–8. (In Russ.). https://doi.org/10.14341/omet201613-8

16. Bratishko N.P., Moiseenko A.A. Digital Transformation of the Russian Healthcare System. Bulletin of the Moscow University named S U Vitte. Series 1: Economics and management. 2025;1(52):19–26. (In Russ.).

17. Еnikeeva D.R., Murtazin A.Z., Moiseenko A.A. Interim results of the digital transformation of the healthcare system of the Republic of Bashkortostan. Siberian Medical Review. 2025;(4):57–63. (In Russ.). https://doi.org/10.20333/25000136-2025-4-57-63


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For citations:


Strizhkov A.E., Zharikova T.S., Moiseenko A.A., Safronov P.G., Kutin E.S., Ovchinnikova S.S., Mikhailova N.V., Suslina P.S., Nikolenko V.N. Discrepancy in the results of the assessment of body component composition measured in the same individuals by different methods. Sports medicine: research and practice. (In Russ.) https://doi.org/10.47529/2223-2524.2025.3.2

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