Potential of bioimpedance analysis for diagnostics of osteosarcopenic obesity components
https://doi.org/10.29001/2073-8552-2025-40-1-42-50
Abstract
Rationale. Physiological aging has all the factors that contribute to the development of obesity, sarcopenia and osteoporosis through increased fat mass, decreased muscle mass and strength, and decreased bone mass. It is clear that the direct impact of osteosarcopenic obesity poses a potential threat to public health. The effects of muscle and bone loss, combined with the effects of obesity, may well be associated with worse clinical outcomes due to the cascade of metabolic abnormalities associated with these changes in body composition
Aim: To identify the prevalence and dynamics of the components of osteosarcopenic obesity over a three-year period assessed using bioimpedance analysis.
Methodology and research methods. The baseline study included 1124 women and 476 men. The follow-up period was 3 years from the date of the respondent's first visit. The median age of the study population was 56.0 (47.0; 63.0) years. Persons over 65 years old accounted for 17.7% at the baseline stage of the survey and 31.0% at the prospective stage. To determine the components of osteosarcopenic obesity (fat percentage, bone mass), a fat mass analyzer BC-532 (manufactured by Tanita Corporation, Tokyo, Japan) was used. The muscle component was assessed using hand dynamometry, which was performed using a mechanical dynamometer
Results. Osteosarcopenic obesity (OSA, muscle weakness + excess body fat + insufficient bone mass) at baseline was equally common in men and women over 65 years of age (2.2% and 1.4%, respectively, p = 0.679). Among persons under 65 years of age – 0.5% in women and 0% in men (p = 0.607). At the prospective stage, there was an increase in the prevalence of AOM among the population over 65 years of age, due to the female population (24.1% and 1.4% in women and men, respectively, p < 0.001). It should be noted that among people under 65 years of age, the proportion of women with AOM was 4.4%, while among men this pathology was still not detected (p < 0.001). Overall, the prevalence of this multifactorial syndrome at baseline was 0.55% and increased 14.7-fold (to 8.1%, p < 0.001) during the prospective follow-up phase.
Conclusion. Using bioimpedance analysis, over the studied period of time it was revealed that osteosarcopenic obesity at the baseline stage was equally common in men and women over 65 years of age (2.2% and 1.4%, respectively). At the prospective stage, there was an increase in the prevalence of AOM among the population over 65 years of age, due to the female population (24.1% and 1.4% in women and men, respectively). It should be noted that among people under 65 years of age, the proportion of women with AOM was 4.4%, while among men this pathology was not detected for the entire study period.
Keywords
About the Authors
D. P. TsygankovaRussian Federation
Darya P. Tsygankova, Dr. Sci. (Med.), Leading Research Scientist, Laboratory of Epidemiology of Cardiovascular Diseases
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
K. E. Krivoshapova
Russian Federation
Kristina E. Krivoshapova, Cand. Sci. (Med.), Research Scientist, Laboratory of Pathophysiology of Multifocal Atherosclerosi
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
E. D. Bazdyrev
Russian Federation
Evgeniy D. Bazdyrev, Dr. Sci. (Med.), Head of the Laboratory of Epidemiology of Cardiovascular Diseases
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
A. I. Kareeva
Russian Federation
Anastasia I. Kareeva, Junior Research Scientist, Laboratory of Radiation Diagnostic Methods, Scientific
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
G. V. Artamonova
Russian Federation
Galina V. Artamonova, Dr. Sci. (Med.), Professor, Head of the Department for Optimization of Medical Care for Cardiovascular Diseases, Deputy Director of the Scientific Research Institute of the CPSIS for Science
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
O. L. Barbarash
Russian Federation
Olga L. Barbarash, Dr. Sci. (Med.), Professor, Academician of the Russian Academy of Sciences, Director
6, Boulevard named after Academician L.S. Barbarasha, Kemerovo, 650002
References
1. Khavinson V., Popovich I., Mikhailova O. Towards realization of longer life. Acta Biomed. 2020;91(3):e2020054. https://doi.org/10.23750/abm.v91i3.10079
2. Campisi J., Kapahi P., Lithgow G.J., Melov S., Newman J.C., Verdin E. From discoveries in ageing research to therapeutics for healthy ageing. Nature. 2019;571(7764):183–192. https://doi.org/10.1038/s41586-019-1365-2
3. Bauer J.M., Cruz-Jentoft A.J., Fielding R.A., Kanis J.A., Reginster J.Y., Bruyère O. et al. Is there enough evidence for osteosarcopenic obesity as a distinct entity? A critical literature review. Calcif. Tissue Int. 2019;105(2):109–124. https://doi.org/10.1007/s00223-019-00561-w
4. Terentyeva N.A., Galimova N.A., Bazdyrev E.D., Krivoshapova K.E., Tsygankova D.P., Ivanov S.V. et al. Risk factors for unfavorable prognosis in patients with coronary artery disease and age-related disorders undergoing coronary artery bypass grafting. Complex Issues of Cardiovascular Diseases. 2022;11(4):13–24. (In Russ.). https://doi.org/10.17802/2306-1278-2022-11-4-13-24
5. Metti A.L., Best J.R., Shaaban C.E., Ganguli M., Rosano C. Longitudinal changes in physical function and physical activity in older adults. Age Ageing. 2018;47:558–564. https://doi.org/10.1093/ageing/afy025
6. Bea J.W., Going S.B., Wertheim B.C., Bassford T.L., LaCroix A.Z., Wright N.C. et al. Body composition and physical function in the Women’s Health Initiative Observational Study. Prev. Med. Rep. 2018;11:15– 22. https://doi.org/10.1016/j.pmedr.2018.05.007
7. Ormsbee M.J., Prado C.M., Ilich J.Z., Purcell S., Siervo M., Folsom A. et al. Osteosarcopenic obesity: the role of bone, muscle, and fat on health. J. Cachexia Sarcopenia Muscle. 2014;5:183–192. https://doi.org/10.1007/s13539-014-0146-x
8. Xia L.F., Li J.B., Tian G.S., Jiang W.R., Li Y.S., Lin C.Y. et al. Effect of sarcopenia on 10-year risk of atherosclerotic cardiovascular disease in patients with type 2 diabetes mellitus. Diabetes Metab. Syndr. Obes. 2024;17:1621–1634. https://doi.org/10.2147/DMSO.S450225
9. Yilmaz O., Bahat G. Suggestions for assessment of muscle mass in primary care setting. Aging Male. 2017;20(3):168–169. https://doi.org/10.1080/13685538.2017.1311856
10. Cheng K.Y., Chow S.K., Hung V.W., Wong C.H., Wong R.M., Tsang C.S. et al. Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual-energy X-ray absorptiometry. J. Cachexia Sarcopenia Muscle. 2021;12(6):2163–2173. https://doi.org/10.1002/jcsm.12825
11. Calvani R., Marini F., Cesari M., Tosato M., Anker S.D., von Haehling S. et al.; SPRINTT consortium. Biomarkers for physical frailty and sarcopenia: state of the science and future developments. J. Cachexia Sarcopenia Muscle. 2015;6(4):278–286. https://doi.org/10.1002/jcsm.12051
12. Krivoshapova K.E., Masenko V.L., Bazdyrev E.D., Barbarash O.L. Osteosarcopenic obesity in cardiovascular patients. Controversial and open issues. Cardiovascular Therapy and Prevention. 2021;20(6):2787. (In Russ.). https://doi.org/10.15829/1728-8800-2021-2787
13. Berns S.A., Sheptulina A.F., Mamutova E.M., Kiselev A.R., Drapkina O.M. Sarcopenic obesity: epidemiology, pathogenesis and diagnostic criteria. Cardiovascular Therapy and Prevention. 2023;22(6):3576. (In Russ.). https://doi.org/10.15829/1728-8800-2023-3576
14. Anker S.D., Morley J.E., von Haehling S. Welcome to the ICD-10 code for sarcopenia. J Cachexia Sarcopenia Muscle. 2016;7(5):512–514. https://doi.org/10.1002/jcsm.12147
15. Theou O., Squires E., Mallery K., Lee J.S., Fay S., Goldstein J. et al. What do we know about frailty in the acute care setting? A scoping review. BMC Geriatr. 2018;18(1):139. https://doi.org/10.1186/s12877-018-0823-2
16. Fougère B., Morley J.E. Rapid screening for frailty and sarcopenia in daily clinical practice. J. Nutr. Health Aging. 2018;22:1023. https://doi.org/10.1007/s12603-018-1057-x
17. Reiss J., Iglseder B, Kreutzer M, Weilbuchner I, Treschnitzer W, Kässmann H, Pirich C, Reiter R. Case finding for sarcopenia in geriatric inpatients: performance of bioimpedance analysis in comparison to dual X-ray absorptiometry. BMC Geriatr. 2016;16:52. https://doi.org/10.1186/s12877-016-0228-z
18. Perevoshchikova N.K., Seliverstov I.A., Drakina S.A., Chernykh N.S. Bioimpedance analysis in clinical practice. Mother and child in Kuzbass. 2021;(3(86)):11–20. (In Russ.). https://doi.org/10.24412/2686-7338-2021-3-11-20
Review
For citations:
Tsygankova D.P., Krivoshapova K.E., Bazdyrev E.D., Kareeva A.I., Artamonova G.V., Barbarash O.L. Potential of bioimpedance analysis for diagnostics of osteosarcopenic obesity components. Siberian Journal of Clinical and Experimental Medicine. 2025;40(1):42-50. (In Russ.) https://doi.org/10.29001/2073-8552-2025-40-1-42-50