Age dynamics of somatometric indicators in composition with regards to mortality from circulatory system diseases in the population of northerners

Keywords: body mass index, body component composition, anthropometric indices, mortality, diseases of the cardiovascular system, age dynamics, obesity, north

Abstract

Background. Although obesity is a widely recognized risk factor for cardiovascular diseases in the ontogenetic aspect, the association of long-term changes in indices of body mass, muscle and fat tissues with the mortality from cardiovascular diseases is an open question regarding the North residents especially the population of the Magadan Region.

Purpose. To study the dynamics of the frequency of occurrence of various BMI values, as well as informative values of body component composition, comparing the data obtained with the trend of mortality from diseases of the circulatory system in the population of Northerners in order to revise approaches to assessing the risk of mortality from cardiovascular diseases.

Materials and methods. A thousand two hundred and ninety-three participants aged 16 to 79 years were included in the study: 543 men and 750 women. The formed samples were divided into seven subgroups according to the age criterion equal to 10 years. The subgroups were examined to study the subjective main somatometric indicators: body mass index, fat and muscle mass indices, and their ratio.

Results. We made an analysis of the age-related pictures for the percentage of different BMI categories in the groups of male and female subjects living in the northern region. We could see the fat mass indices exceeding the normative range which was characteristic of the examined men at the age of 40-49 and at 50-59 years old in women, with simultaneous negative dynamics of the muscle mass index. An analysis of the dynamics of the body component composition allowed for summarizing that men and women have a peak in mortality from circulatory system diseases after a 20-year period.

Conclusion. Our findings suggest the approaches to assessing the risk of mortality from cardiovascular system diseases requires to be reconsidered since the results emphasize the need to use body mass index in combination with indicators of body component composition.

EDN: KGILQM

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Author Biographies

Olga О. Alyoshina, Scientific Research Center “Arktika”, Fareastern Branch of the Russian Academy of Sciences

Junior Scientist at the Laboratory of the Physiology of Extreme Conditions

Inessa V. Averyanova, Scientific Research Center “Arktika”, Fareastern Branch of the Russian Academy of Sciences

Doctor of Biological Sciences, Head of the laboratory, Chief Researcher of the Laboratory of Physiology of Extreme Conditions

References

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Afshin, A., Forouzanfar, M. H., Reitsma, M. B., et al. (2017). Health effects of overweight and obesity in 195 countries over 25 years. New England Journal of Medicine, 377(1), 13–27. https://doi.org/10.1056/NEJMoa1614362

Antza, C., Gallo, A., Boutari, C., et al. (2023). Prevention of cardiovascular disease in young adults: Focus on gender differences. A collaborative review from the EAS Young Fellows. Atherosclerosis, 384, 117272. https://doi.org/10.1016/j.atherosclerosis.2023.117272

Blüher, M. (2019). Obesity: global epidemiology and pathogenesis. Nature Reviews Endocrinology, 15(5), 288–298. https://doi.org/10.1038/s41574-019-0176-8

Calling, S., Hedblad, B., Engström, G., et al. (2006). Effects of body fatness and physical activity on cardiovascular risk: risk prediction using the bioelectrical impedance method. Scandinavian Journal of Public Health, 34(6), 568–575. https://doi.org/10.1080/14034940600595621

Consultation, WHO. (2004). Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet, 363(9403), 157–163. https://doi.org/10.1016/S0140-6736(03)15268-3

Costanzo, P., Cleland, J. G. F., Pellicori, P., et al. (2015). The obesity paradox in type 2 diabetes mellitus: relationship of body mass index to prognosis: a cohort study. Annals of Internal Medicine, 162(9), 610–618. https://doi.org/10.7326/M14-1551

Garland, A., Jeon, S. H., Stepner, M., et al. (2019). Effects of cardiovascular and cerebrovascular health events on work and earnings: a population-based retrospective cohort study. CMAJ, 191(1), E3–E10. https://doi.org/10.1503/cmaj.181238

Kyle, U. G., Pirlich, M., Lochs, H., et al. (2005). Increased length of hospital stay in underweight and overweight patients at hospital admission: a controlled population study. Clinical Nutrition, 24(1), 133–142. https://doi.org/10.1016/j.clnu.2004.08.012

Lee, D. H., Keum, N., Hu, F. B., et al. (2018). Predicted lean body mass, fat mass, and all-cause and cause-specific mortality in men: Prospective US cohort study. British Medical Journal, 362, k2575. https://doi.org/10.1136/bmj.k2575

Pandey, I. J., Cornwell, W. K., Willis, B., et al. (2017). Body mass index and cardiorespiratory fitness in midlife and risk of heart failure hospitalization in older age: findings from the Cooper Center Longitudinal Study. JACC Heart Failure, 5(5), 367–374. https://doi.org/10.1016/j.jchf.2016.12.021

Pickkers, P., de Keizer, N., Dusseljee, J., et al. (2013). Body mass index is associated with hospital mortality in critically ill patients: an observational cohort study. Critical Care Medicine, 41(8), 1878–1883. https://doi.org/10.1097/CCM.0b013e31828a2aa1

Pischon, T., Boeing, H., Hoffmann, K., et al. (2008). General and abdominal adiposity and risk of death in Europe. New England Journal of Medicine, 359(20), 2105–2120. https://doi.org/10.1056/NEJMoa0801891

Powell-Wiley, T. M., Poirier, P., Burke, L. E., et al. (2021). Obesity and cardiovascular disease: A scientific statement from the American Heart Association. Circulation, 143(21), e984–e1010. https://doi.org/10.1161/CIR.0000000000000973

Price, K. L., & Earthman, C. P. (2019). Update on body composition tools in clinical settings: Computed tomography, ultrasound, and bioimpedance applications for assessment and monitoring. European Journal of Clinical Nutrition, 73(2), 187–193. https://doi.org/10.1038/s41430-018-0360-2

Schutter, A. D., Lavie, C. J., Kachur, S., et al. (2014). Body composition and mortality in a large cohort with preserved ejection fraction: untangling the obesity paradox. Mayo Clinic Proceedings, 89(8), 1072–1079. https://doi.org/10.1016/j.mayocp.2014.04.025

Visseren, F. L. J., Mach, F., Smulders, Y. M., et al. (2021). 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. European Heart Journal, 42(36), 3227–3337. https://doi.org/10.1093/eurheartj/ehab484

Xing, Z., Tang, L., Chen, J., et al. (2019). Association of predicted lean body mass and fat mass with cardiovascular events in patients with type 2 diabetes mellitus. CMAJ, 191(38), E1042–E1048. https://doi.org/10.1503/cmaj.190124

Yusuf, S., Reddy, S., Ôunpuu, S., et al. (2001). Global burden of cardiovascular diseases Part II: Variations in cardiovascular disease by specific ethnic groups and geographic regions and prevention strategies. Circulation, 104(23), 2855–2864. https://doi.org/10.1161/hc4701.099488


Published
2025-02-28
How to Cite
Alyoshina, O., & Averyanova, I. (2025). Age dynamics of somatometric indicators in composition with regards to mortality from circulatory system diseases in the population of northerners. Siberian Journal of Life Sciences and Agriculture, 17(1), 368-388. https://doi.org/10.12731/2658-6649-2025-17-1-1047
Section
Public Health and Preventive Medicine