Development of Criteria for Assessing Nutritional Status in Moscow Adults Using Bioimpedance Analysis Data
https://doi.org/10.47619/2713-2617.zm.2024.v.5i4p2;272-281
Abstract
Objective. To develop the criteria for assessing nutritional status in Moscow adults using bioimpedance analysis data.
Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of Moscow adults aged 18-96 in Moscow health centers between 2010 and 2019 by the method of bioimpedance analysis. A total of 340,814 persons were assessed, including 96,780 men and 244,034 women. Bioimpedance measurements were taken using bioimpedance analyzers according to a standard four-electrode assessment scheme in the supine position of patients with disposable bioadhesive ECG-electrodes. The relative fat mass (RFM) was assessed using the percentage of fat mass (%FM) and the fat mass index (FMI). The criteria for assessing RFM were the cut-offs of %FM and FMI calculated based on the centiles of BMI thresholds according to the IOTF ageand sex-specific criteria. Polynomial smoothing was then applied. In the same way, the criteria for assessing the relative fat-free mass (RFFM) were derived based on the cut-offs of the fat-free mass index (FFMI).
Results. Diagnostic tables were designed to determine the RFM and RFFM in Moscow adults. The prevalence of normal weight obesity was assessed.
Conclusion. In conjunction with the previously developed criteria for assessing the nutritional status of Moscow children and adolescents, the study results can be used in clinical, preventive, or sports medicine to diagnose and correct nutritional status disorders as well as to monitor physical development.
About the Authors
S. G. RudnevRussian Federation
Sergey G. Rudnev – Candidate of Sciences in Physics and Mathematics, Associate Professor, Researcher of Demography Division
9, Sharikopodshipnikovskaya ul., 115088, Moscow, Russian Federation
A. E. Ivanova
Russian Federation
Alla E. Ivanova – Doctor of Economic Sciences, Professor, Head of Demography Division
9, Sharikopodshipnikovskaya ul., 115088, Moscow, Russian Federation
E. Z. Godina
Russian Federation
Elena Z. Godina – Doctor of Biological Sciences, Professor, Principal Researcher
11, Mokhovaya ul., 125009, Moscow, Russian Federation
A. V. Zubko
Russian Federation
Alexandr V. Zubko – Candidate of Medical Sciences, Leading Researcher
11, Dobrolyubova ul., 127254, Moscow, Russian Federation
V. I. Starodubov
Russian Federation
Vladimir I. Starodubov – Doctor of Medical Sciences, Professor, Academician of Russian Academy of Sciences, Scientific Director
11, Dobrolyubova ul., 127254, Moscow, Russian Federation
References
1. Toomey CM, Cremona A, Hughes K, Norton K, Jakeman P. A review of body composition measurement in the assessment of health. Topics Clin. Nutr. 2015; 30(1): 16-32. DOI: 10.1097/TIN.0000000000000017
2. Holmes CJ, Racette SB. The utility of body composition assessment in nutrition and clinical practice: an overview of current methodology. Nutrients. 2021; 13(8): 2493. DOI: 10.3390/nu13082493
3. Rudnev SG, Ivanova AE, Godina EZ, Zubko AV, Starodubov VI. Development of criteria for assessing nutritional status in Moscow children and adolescents based on bioimpedance measurements data. City Healthcare. 2024, vol. 5, iss. 4, part 2, pp. 259-271. DOI: 10.47619/2713-2617.zm.2024.v.5i4p2;259-271
4. Starodubov VI, Rudnev SG, Nikolaev DV, Korostylev KA. Federal Information Resource of Health Centres: current state and developmental perspectives. Sotsial’nye aspekty zdorov’ya naseleniya. 2015; 5: 1. (In Russ.). URL: http://vestnik.mednet.ru/content/view/706/27/lang,ru/
5. Starunova OA, Rudnev SG, Ivanova AE, Semenova VG, Starodubov VI. Application of Benford’s law for quality assessment of preventive screening data. Math. Biol. Bioinf. 2022; 17(2): 230-249. (In Russ.). DOI: 10.17537/2022.17.230
6. Starunova OA, Rudnev SG, Starodubov VI. HCViewer: a program for automated quality analysis, filtering and processing of mass data of preventive screening in Health Centers. Certificate of state registration of the computer program No. 2020665580 dated 11/27/2020. (In Russ.).
7. Smirnov AV, Kolesnikov VA, Nikolaev DV, Eryukova TA. AVS-01 ‘Medass’: analizator otsenki balansa vodnykh sektorov organizma s programmnym obespecheniem (rukovodstvo pol’zovatelya). Moscow: NTTs Medass; 2009. (In Russ.).
8. Kushner RF, Schoeller DA. Estimation of total body water by bioelectrical impedance analysis. Am. J. Clin. Nutr. 1986; 44(3): 417-424. DOI: 10.1093/ajcn/44.3.417
9. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatric Obesity. 2012; 7(4): 284-294. DOI: 10.1111/j.2047-6310.2012.00064.x
10. Bennett JP, Cataldi D, Liu YE, Kelly NN et al. Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equations. Clin. Nutr. ESPEN. 2024; 63: 540-550. DOI: 10.1016/j.clnesp.2024.07.009
11. Nescolarde L, Lukaski H, De Lorenzo A, de-Mateo-Silleras B et al. Different displacement of bioimpedance vector due to Ag/AgCl electrode effect. Eur. J. Clin. Nutr. 2016; 70(12): 1401-1407. DOI: 10.1038/ejcn.2016.121
12. Rudnev SG, Starunova OA, Godina EZ, Ivanova AE et al. The Russian bioimpedance database: an update. J. Electr. Bioimp. 2022; 13: 66-72. DOI: 10.2478/joeb-2022-0010
13. Coëffier M, El Machkouri M, L’Huillier C, Folope V et al. Accuracy of bioimpedance equations for measuring body composition in a cohort of 2134 patients with obesity. Clin. Nutr. 2022; 41(9): 2013-2024. DOI: 10.1016/j.clnu.2022.07.032
14. Rudnev SG, Soboleva NP, Sterlikov SA, Nikolaev DV et al. Bioimpedance study of body composition in the Russian population. M.: RIO TSNIIOIZ, 2014. 493 p. (In Russ.).
Review
For citations:
Rudnev S.G., Ivanova A.E., Godina E.Z., Zubko A.V., Starodubov V.I. Development of Criteria for Assessing Nutritional Status in Moscow Adults Using Bioimpedance Analysis Data. City Healthcare. 2024;5(4):272-281. (In Russ.) https://doi.org/10.47619/2713-2617.zm.2024.v.5i4p2;272-281