Body Mass Index and Fat Content in Women with Different Somatotypes in the North
https://doi.org/10.18499/2225-7357-2020-9-4-63-69
Abstract
The aim of the study was to detect the age-related variability of the body mass index and the variability of fat deposition in a random sample of women belonging to different constitutional groups and somatotypes, permanent residents of the Republic of Karelia.
Material and methods. A comprehensive somatometric examination of women (n=905) was performed applying classical technique and a standardized set of instruments. The body mass index and its component composition were calculated using anthropometric formulas. I. B. Galanta – B.A. Nikityuk – V.P. Chtetsova technique was used to determine somatotype of the women. The results obtained were statistically processed using STATISTICA 6.0 program.
Results. The analysis demonstrated a high prevalence of overweight and obesity in women of the Republic of Karelia in the second mature and old age periods, which was manifested by the maximum values of the thickness of skin and fat folds, absolute and relative fat mass. Regardless of age, the megalosomal constitutional type was found with a high frequency, with an age-related increase in the proportion of people with the euriplastic somatotype. There were revealed somatotypological differences in the age dynamics of the body mass index and the content of the fat component in women. The values of the body mass index and fat component exceeding the norm were determined in the representatives of euriplastic and pyknic somatotypes over several age periods.
Conclusion. The results obtained can be used to analyze the level of physical development of the population, these findings should be taken into account when comprehensively assessing health, risk factors for metabolic diseases for their timely detection, correcting the diet, mode of nutrition, physical activity and providing population with preventive information.
About the Author
I. G. Pashkova
Petrozavodsk State University
Russian Federation
Russian Federation
Inga Pashkova
pr. Lenina, 33, Petrozavodsk, 185910
References
1. Gorbunov NS, Tutynin KV, Sindeeva LV, Sarap PV, et al. Constitutional characteristics of elderly women of Krasnoyarsk. Nauchnoe obozrenie. 2015;16:206–13 (in Russian).
2. Medvedeva NN, Nikolaev VG, Derevtsova SN, Sindeeva LV, i dr. Markery somatoneiropsikhofiziologicheskogo zdorov'ya cheloveka: Monografiya. Krasnoyarsk: Znak; 2018 (in Russian).
3. Miklishanskaya SV, Solomasova LV, Mazur MA. Obesity and Mechanisms of its Negative Impact on the Cardiovascular System. Rational Pharmacotherapy in Cardiology. 2020 Mar 2;16(1):108–17. doi: 10.20996/1819-6446-2020-02-09 (in Russian).
4. Nikityuk DB. Anthroponutritiology as new scientific area. Journal of Anatomy and Histopathology. 2018;7(4):9–19 (in Russian).
5. Nikityuk DB, Klochkova SV, Rozhkova EA, Alexeeva NT, et al. The athropometrical characteristic of pysical satus of mature women. Journal of Anatomy and Histopathology. 2015;4(1):9–14 (in Russian).
6. Nikolaev VG, Grebennikova VV, Efremova VP, Sapozhnikov VA, Sharaikina EP. Ontogeneticheskaya dinamika individual'notipologicheskikh osobennostei organizma cheloveka. Krasnoyarsk: Izd-vo KrasGU; 2001 (in Russian).
7. Pashkova IG, Gaivoronskiy IV, Aleksina LA, Kornev MA. The relationship between the parameters of mineral density of bone tissue and somatotype in women residing in the republic of Karelia. Morphology. 2014;5(146):65– 9 (in Russian).
8. Sindeeva LV, Nikolaev VG, Kazakova GN, Shtejnerdt SV. Body composition as indicator of physical health of youth (on the example of students-girls of medical high school). The bulletin of KSPU named after V.P. Astafiev. . 2012;1:398–401 (in Russian).
9. Tutel'yan VA, Gapparov MG, Baturin AK, i dr. Ispol'zovanie metoda kompleksnoi antropometrii v klinicheskoi praktike dlya otsenki fizicheskogo razvitiya i pishchevogo statusa zdorovogo i bol'nogo cheloveka: Uchebno-metodicheskoe posobie. Moscow: Ares; 2008 (in Russian).
10. Tutelyan VA, Nikityuk DB, Nikolenko VN, Chava SV, Minnibaev TSh. Realization of the anthropometric approach in the clinical medicine: perspectives and reality. Herald of Anthropology. 2013;25(3):37–43 (in Russian).
11. Akindele MO, Phillips JS, Igumbor EU. The relationship between body fat percentage and body mass index in overweight and obese individuals in an urban african setting. Journal of Public Health in Africa. 2016 Aug 17;7(1)515–9. doi: 10.4081/jphia.2016.515
12. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA. 2012 Feb 1;307(5):491–7. doi: 10.1001/jama.2012.39
13. Hruschka DJ, Hadley C. How much do universal anthropometric standards bias the global monitoring of obesity and undernutrition? Obesity Reviews. 2016 Jul 7;17(11):1030–9. doi: 10.1111/obr.12449
14. Kontogianni MD, Panagiotakos DB, Skopouli FN. Does body mass index reflect adequately the body fat content in perimenopausal women? Maturitas. 2005 Jul;51(3):307–13. doi: 10.1016/j.maturitas.2004.08.014
15. lman M, Zuhairini Y, Siddiq A. Correlation between Body Mass Index and Body Fat Percentage. Althea Medical Journal. 2015 Dec;2(4):575–8. doi: 10.15850/amj.v2n4.642
16. Liu P, Ma F, Lou H, Liu Y. The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome. BMC Public Health. 2013;13:629. doi: 10.1186/1471-2458-13-629
17. Lopes DCF., Silvestre MPC, Silva MR, et al. Evaluation of body fat composition in Brazilian women by anthropometry, bioimpedance and dual energy x-ray absorptiometry. Alim. Nutr. Braz. J. Food Nutr. 2013:24:259–65.
18. Matiegka J. The testing of physical efficiency. American Journal of Physical Anthropology. 1921 Sep;4(3):223–30. doi: 10.1002/ajpa.1330040302
19. Meeuwsen S, Horgan GW, Elia M. The relationship between BMI and percent body fat, measured by bioelectrical impedance, in a large adult sample is curvilinear and influenced by age and sex. Clinical Nutrition. 2010 Oct 1;29(5):560– 566. doi: 10.1016/j.clnu.2009.12.011
20. Narayan KMV, Ali MK, Koplan JP. Global Noncommunicable Diseases — Where Worlds Meet. New England Journal of Medicine. 2010 Sep 23;363(13):1196–8. doi: 10.1056/nejmp1002024
21. Shaikh S, Jones-Smith J, Schulze K, Ali H, Christian P, Shamim AA, et al. Excessive adiposity at low BMI levels among women in rural Bangladesh. Journal of Nutritional Science. 2016;5:1–9. doi: 10.1017/jns.2015.32
22. Wändell P, Andreasson A, Hagström H, Kapetanovic M, Carlsson A. The use of anthropometric measures in the prediction of incident gout: results from a Swedish community-based cohort study. Scandinavian Journal of Rheumatology. 2019 Apr 23;48(4):294–9. doi: 10.1080/03009742.2019.1583368
Review
For citations:
Pashkova I.G. Body Mass Index and Fat Content in Women with Different Somatotypes in the North. Journal of Anatomy and Histopathology. 2020;9(4):63-69. (In Russ.) https://doi.org/10.18499/2225-7357-2020-9-4-63-69
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