Physical development of women in Magadan Region in age and ethnic aspects
https://doi.org/10.25789/YMJ.2023.83.02
Abstract
Anthropometry is known to be a qualitative measure that reflects the level of health state of a population. For the first time, an assessment study on physical development of women in age and ethnic aspects was conducted in the territory of Magadan Region. This research aimed at studying age dynamics in basic anthropometric indicators among women of different ethnicity from different regions of residence, at mature and old ages.
Materials and methods. In the year of 2022 we analyzed data of medical records of one thousand and sixty-four women from Severo-Evensk District and the city of Magadan. The following anthropometric indicators were included in the general database: Body Length, Body Mass, and Waist Circumference, with further calculating the Body Mass Index. The subjective sample was divided into six groups according to the ethnicity, as well as based on the age. The main indicators of physical development were evaluated by standard research methods.
Results. From the obtained data we could see a reduction in subjective Body Length variables with those of Body Mass, Body Mass Index, and Waist Circumference growing with increasing age, from the middle age (maturity) to the elderly period of ontogenesis. In the settlement of Evensk, the percentage of middle-aged women diagnosed with obesity was 40% among Aboriginals and 24% among Caucasians growing up to 68% and 47%, respectively, in old women. The obesity incidence among women of Magadan made up 25% and 45%, respectively.
Conclusion. The observed characteristics indicate unhealthy tendencies, which the increased Body Mass Index suggests owing to shorter Body Length and significantly bigger Body Mass indices progressing from mature to old ages. To a greater extent, obesity is experienced by women of the Aboriginal population of Magadan Region. All the examinees show Waist Circumference measurements that excess the normal standards, which indicate the development of such an unfavorable factor as abdominal obesity.
The age- and ethnicity-based somatometric status was also specified for Magadan Region women, which should be considered when forming the region-related standards of physical development.
About the Authors
O. O. AlyoshinaRussian Federation
ALYOSHINA Olga Olegovna – research engineer at the Laboratory of the Physiology of Extreme Conditions Scientific Research Center “Arktika”, Fareastern Branch of the Russian Academy of Sciences
Magadan
I. V. Averyanova
Russian Federation
AVERYANOVA Inessa Vladislavovna – Medical Doctor in Biology, Head of the laboratory, Leading researcher of the Laboratory of Physiology of Extreme Conditions Scientific Research Center “Arktika”, Fareastern Branch of the Russian Academy of Sciences
Magadan
References
1. Alekseeva T.I. Geographical environment and human biology M.: Mysl, 1997. 302 p.
2. Effect of climatic and ecological conditions of the north on ageing processes / I.S. Deputat, [et al.] // Journal of Medical and Biological Research. 2017. No. 3. P. 5-17. DOI: 10.17238/issn2542-1298.2017.5.3.5.
3. Gribanov A.V., Danilova R.I. General characteristics of climatic and geographical conditions of the Russian North and adaptive human reactions in the cold climate zone // North. Children. School: collection of scientific papers. Arhangelsk, 1994. No. 1. P. 3−27.
4. The health of the indigenous population of the North of the Russian Federation: on the verge of centuries and cultures: a monograph / A.I. Kozlov [et al.] // Perm State Humanitarian Pedagogical University. 2nd ed. – Perm: FROM and TO, 2013. 205 p.
5. Kazakova, T.S., Nurmamedova E.Je. Methods of conducting anthropometric studies to determine the state of physical health // Young scientist. 2017. No. 16 (150). P. 47-50.
6. Kaznacheev V.P. Kaznacheev S.V. Clinical aspects of polar medicine. Moscow, Medicine, 1986. 206 p.
7. Kajumova M.M., Gakova E.I. Dynamics of over body weight among women of young and mature age of open city population: twenty years of trends // Siberian scientific medical journal, 2020. 40 (4). P. 98–103. DOI: 10.15372/SSMJ20200414
8. Materials of the Seventh Scientific Conference on age morphology, physiology and biochemistry. [April 1965] / Scientific-research. in-t age physiology and phys. education. Academy of Pedagogical Sciences of RSFSR . – Moscow: 1965. 522 p.]
9. Interdisciplinary clinical practice guidelines "management of obesity and its comorbidities / I.I., Dedov // Obesity and metabolism. 2021. No. 1, P.5-99. DOI: 10.14341/omet12714.
10. Metabolic syndrome: the role of abdominal obesity in the pathogenesis of insulin resistance / Т.I. Evdochkova [et al.] // Health and ecology issues. 2015. No. 4 (46). P. 55-59.
11. Misharina E.V., Abashova E.I., Potin V.V. Obesity and ovarian insufficiency // Journal of Obstetrics and Women’s Diseases. 2016. 65(5) P. 64-74. DOI: 10.17816/JOWD65564-74
12. Мorphological and physiological base for living activity of indigenous population of the far north / T.E. Uvarova [et al.] // Far Eastern medical journal. 2009. No. 2. P. 114-118.
13. Pyastolova N.B. Quetelet index as a tool for assessing the physical condition of the body // Physical culture. Sport. Tourism. Motor recreation 2020. Vol. 5. No. 4. P. 43-48. (In Russ.).] DOI 10.24411/2500-0365-2020-15406.
14. Cardiovascular diseases in the elderly / A.I. Dyadyka, [et al.]. Kiev: OOO "People in white", 2013. 170 p.
15. Tokarev S.A. Ethnography of the peoples of the USSR. Historical foundations of life and culture M.: Moscow university edit., 1958. 616 p.
16. Trushkina L.Ju., Trushkin A.G., Demyanova L.M. Hygiene and human ecology: Study guide. Rostov n/D: Feniks. 2003. 448 p.
17. Fedyaeva A.V., Oleynikova V.S. Anthropometric characteristics of the population of older age groups // Bulletin of semashko national research institute of public health. 2020. No. 1. P. 40-45. DOI: 10.25742/NRIPH.2020.01.007.
18. Characteristics of physical development of children of the Aral Sea region / L.V. Lim [et al.] // Successes of modern natural science. 2015. No. 6. P. 35-38.
19. C. Global Burden of Metabolic Risk Factors for Chronic iseases, Y. Lu, K. Hajifathalian, et al. Metabolic mediators of the effects of bodymass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1.8 million participants. Lancet. 2014; 383:970-983. DOI: 10.1016/S0140-6736(13)61836-X.
20. Carbone S., Lavie C.J., Arena R. Obesity and heart failure: focus on the obesity paradox. Mayo Clin Proc. 2017; 92:266-279. DOI:10.1016/j.mayocp.2016.11.001.
21. Consultation WHO. Appropriate bodymass index for Asian populations and its implications for policy and intervention strategies. The Lancet. 2004; 363: 157-163. DOI: 10.1016/s0140-6736(03)15268-3.
22. Elderly population (indicator), OECD(2019). Accessed on 12 January 2020
23. Juliaty A., Mutmainnah, Daud D., Lisal J. S. Correlation between vitamin D deficiency and fasting blood glucose levels in obese children. Clinical Nutrition ESPEN. 2021; 44:200–203. DOI: 10.1016/j.clnesp.2021.06.022.
24. Jungheim ES, Moley KH. The impact of type 1 and type 2 diabetes mellitus on the oocyte and the preimplantation embryo. Seminars in reproductive medicine. 2008; 26 (2): 186–195. DOI:10.1016/j.ogc.2012.09.002
25. Lang T., Streeper T., Cawthon P., Baldwin K. et al. Sarcopenia: etiology, clinical consequences, intervention, and assessment. Osteoporos Int. 2010; 21:543–559. DOI: 10.1007/s00198-009-1059-y
26. Manolopoulos K.N., Karpe F., Frayn K.N. Gluteofemoral body fat as a determinant of metabolic health. Int J Obesity. 2010; 34:949-959. DOI: 10.1038/ijo.2009.286.
27. Noncommunicable disease country profiles. WHO: Geneva, 2014; 142.
28. Oliveira-Santos J., Santos R., Moreira C., Abreu S., Lopes L., Agostinis-Sobrinho C., Stratton G., Mota J., Associations between anthropometric indicators in early life and low-grade inflammation, insulin resistance and lipid profile in adolescence. Nutrition, Metabolism and Cardiovascular Diseases. 2019; 29(8):783–792. DOI: 10.1016/j.numecd.2019.05.052.
29. Rice J., Mashford-Pringle A., MacLean T., Belmore D. Needing indigenous biometrics for health in Canada. Preventive Medicine Reports. 2023; 31:102-115, DOI: 10.1016/j.pmedr.2023.102115.
30. Sorkin J.D., Mueller D.C., Andres R. Longitudinal change in height of men and women: implications for interpretation of the body mass index. Am J Epidemiol. 1999; 150:969–977. DOI:10.1093/oxfordjournals.aje.a010106.
31. Spiegeleer A., et al. Treating sarcopenia in clinical practice: where are we now? Acta Clin Belg. 2016; 71(4):197-205. DOI: 10.1080/17843286.2016.1168064.
32. Stocker H. Secular Trends in BMI and Waist Circumference and the Prevalence of Overweight and Obesity in Austrian Candidates for Conscription from 2007 To 2016. International conference knowledge-based organization. 2019; 25(2):361-367. DOI: 10.2478/kbo-2019-0107.
33. Tai P., Yang S., Liu W., Wang S., Chen K., Jia W., Han K., Liu M., He Y., Association of anthropometric and nutrition status indicators with cognitive functions in centenarians. Clinical Nutrition. 2021; 40(4):2252-2258. DOI:10.1016/j.clnu.2020.10.004.
34. World Health Organization. Obesity: preventing and managing the global epidemic. Geneva: WHO. 1997; 178 p.
35.
Review
For citations:
Alyoshina O.O., Averyanova I.V. Physical development of women in Magadan Region in age and ethnic aspects. Yakut Medical Journal. 2023;(3):9-13. https://doi.org/10.25789/YMJ.2023.83.02










