BİYOELEKTRİK İMPEDANS YÖNTEMİ VE ANTROPOMETRİK ÖLÇÜMLER İLE VÜCUT KOMPOZİSYON ANALİZİNİN SEDANTER GENÇ ERKEK VE KADINLARDA KARŞILAŞTIRILMALI OLARAK DEĞERLENDİRİLMESİ

Year 2020, , 14 - 18, 04.05.2020

Seda Uğraş , Çağrı Özdenk

https://doi.org/10.34108/eujhs.578119

Cited By: 2

Abstract

Amaç: Optimal
vücut kompozisyonu, sağlıklı vücudu yansıtmaktadır. Uygun olmayan vücut
kompozisyonları, diyabet ve obezite gibi sağlık problemleri ortaya çıkarabilir.
Klinik ve spor bilimlerinde, farklı amaçlar için vücut kompozisyon analiz
yöntemleri kullanılmaktadır. Bu çalışmanın amacı, biyoelektrik impedans
analizini (BIA) kullanarak vücut kompozisyonunun karşılaştırmalı olarak
değerlendirilmesi ve korelasyon elde etmek için vücut kompozisyonu ve vücut
kitle indeksi (VKİ), bel çevresi ve bel-kalça oranı ile arasındaki ilişkileri
incelemektir.

Gereç
ve Yöntem: Bu çalışmaya yaşları 18 ile 25 arasında değişen
toplam 280 sedanter genç erkek (175) ve kadın (105) (erkek yaş: 21.4 ± 1.6 yıl,
kadın 21.3 ± 1.8 yıl) katılmıştır. Sonuçların istatistiksel olarak
değerlendirilmesinde lineer regresyon analiz yöntemi kullanıldı.

Bulgular: Yağ
miktarı ile VKİ arasında anlamlı pozitif korelasyon bulundu (erkeklerde r =
0.906 p <0.0001, kadınlarda r = 0.879 p <0.0001). Bununla birlikte, bel
kalça oranı ile yağ oranı (r = 0.696, erkeklerde p <0.0001 ve r = 0.235, p =
0.01 kadınlarda) ve ayrıca bel / kalça oranı ve yağ miktarı arasında düşük ancak
anlamlı bir ilişki vardır (r = 0.753) erkeklerde p <0.0001 ve r = 0.318, p
<0.0001 kadınlarda).

Sonuç: VKİ
ve BIA yöntemi sağlıklı vücut kompozisyonu üzerinde güçlü korelasyon sağlar. BIA,
klinik denemelerde sağlıklı ve hastalıklı denekler arasında vücut kompozisyonunu
tahmin etmek için kullanılan faydalı bir yöntemdir.

Keywords

Biyoelektrik İmpedans Analizi, Vücut Kitle İndeksi, Vücut Kompozisyonu

COMPARATIVE EVALUATION OF BIOELECTRICAL IMPEDANCE ANALYSIS AND ANTHROPOMETRIC MEASUREMENTS OF BODY COMPOSITION IN SEDENTARY YOUNG MALE AND FEMALE SUBJECTS

Abstract

Purpose: Healthy body should be
accompanied by optimal body composition. Impaired body compositions can result
many health risks including obesity and diabetes. In medicine and sports
science, various methods have been used to estimate optimal body composition
that may not contain any potential health problems. The aim of this study was
to comparatively evaluate body composition using, bioelectric impedance
analysis (BIA) and examine it with body mass index (BMI), waist and waist-to-hip
ratio to obtain any possible correlation between these methods. Materials and method: A total of 280 sedentary
young subjects (male: 21.4±1.6, female 21.3±1.8 years) aged 18 through 25 years
participated in this study. Linear regression analysis was used for the
evaluation of the results. (p<0.05).

Results: We have found a significant
high positive correlation between fat mas and BMI (R=0.90697 p<0.0001 in
males and R=0.87907 p<0.0001 in females). However, there is low but
significant correlation found between waist to hip ratio and fat ratio was low
(R=0.69696, p<0.0001 in male and R=0.23528, p=0.01 in female) and waist to
hip ratio and fat mass (R=0.75316, p<0.0001 in male and R=0.31884,
p<0.0001 in female).

Conclusion: BMI and BIA method provide
strong correlation in healthy body composition. BIA is a useful method used for
estimating body composition among healthy and diseased subjects in clinical
trials.  

Keywords

Body Mass Index, Bioelectrical Impedance Analyses, Body Composition

References

• 1. Colak R, Ozcelik O. Effects of short-period exercise training and orlistat therapy on body composition and maximal power production capacity in obese patients. Physiological Research 2004; 53, 53-60.
• 2. Han TS, Sattar N, Lean M. ABC of obesity. Assessment of obesity and its clinical implications. British Medical Journal 2006;333: 695-8.
• 3. Vazquez G, Duval S, Jacobs Jr, Silventoinen K. Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Reviews 2007; 29:115-28.
• 4. Sanlier N, Yabanci N, Alyakut O. An evaluation of eating disorders among a group of turkish university students. Appetite 2008;51: 641-5.
• 5. Ozcelik O, Ozkan Y, Algul S, Colak R. Beneficial effects of training at the anaerobic threshold in addition to pharmacotherapy on weight loss, body composition, and exercise performance in women with obesity. Patient Preference and Adherence 2015; 9:999-1004.
• 6. Aune D, Mahamat-Saleh, Y, Norat T, Riboli E. Body fatness, diabetes, physical activity and risk of kidney stones: a systematic review and meta-analysis of cohort studies. European Journal of Epidemiology 2018; 33:1033-1047.
• 7. Thomson R, Brinkworth GD, Buckley JD, Noakes M, Clifton PM. Good agreement between bioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body composition during weight loss in overweight young women. Clinical Nutrition 2007; 26: 771-7.
• 8. Kaya H, Ozçelik O. Comparison of effectiveness of body mass index and bioelectric impedance analysis methods on body composition in subjects with different ages and sex. Fırat Üniversitesi Sağlık Bilimleri Tip Dergisi 2009; 23: 1-5.
• 9. Bosch TA, Carbuhn AF, Stanforth PR, Oliver JM, Keller KA, Dengel DR. Body Composition and Bone Mineral Density of Division 1 Collegiate Football Players: A Consortium of College Athlete Research Study. Journal of Strength and Conditioning Research 2019; 33: 1339-1346.
• 10. Kafri MW, Potter JF, Myint PK. Multi-frequency bioelectrical impedance analysis for assessing fat mass and fat-free mass in stroke or transient ischaemic attack patients. European Journal Clinical Nutrition 2014; 68 : 677-682.
• 11. Kreissl A, Jorda A, Truschner K, Skacel G, Greber-Platzer S. Clinically relevant body composition methods for obese pediatric patients. Bio Med Central Pediatr 2019; 21:19, 84.
• 12. Nyboer J. Electrorheometric properties of tissues and uids. Annals of the New York Academy of Sciences 1970; 170: 410-420.
• 13. Chaves LO, Carraro JCC, Vidigal FC, Bressan J. Higher Waist Circumference Is Related to Lower Plasma Polyunsaturated Fatty Acids in Healthy Participants: Metabolic Implications. The Journal of the American College of Nutrition 2019; 38:342-350.
• 14. Ozcelik O, Aslan M, Ayar A, Kelestimur H. Effects of body mass index on maximal work production capacity and aerobic fitness during incremental exercise. Physiological Research 2004; 53: 165-70.
• 15. Ozcelik O, Dogukan A, Kaya H. Determination of the Validity of Bioelectric Impedance Analysis in Body Composition in Haemodialysis Patients. Firat Medical Journal 2005; 10: 50-53.
• 16. Lemos T, Gallagher D. Current body composition measurement techniques. Curr Opin Endocrinology Diabetes Obes 2017; 24: 310-314.
• 17. Buksh MJ, Hegarty JE, Griffith R, Alsweiler JM, McKinlay CJ, Harding JE. Relationship between BMI and adiposity among different ethnic groups in 2-year-old New Zealand children. hPOD Study Team. British Journal of Nutrition 2019; 121: 670-677.
• 18. Guida B1, Trio R, Nastasi A, Laccetti R, Pesola D, Torraca S, Memoli B, Cianciaruso B. Body composition and cardiovascular risk factors in pretransplant hemodialysis patients. Clinical Nutrition 2004; 23: 363-372.
• 19. Kaya H, Özçelik O. Tıp Öğrencilerinde Bir Yılda Vücut Kompozisyonlarında Meydana Gelen Değişimlerin Belirlenmesi. Fırat Tıp Dergisi 2005; 10: 164-168.
• 20. Lloret Linares C, Ciangura C, Bouillot JL, Coupaye M, Declèves X, Poitou C, Basdevant A, Oppert JM. Validity of leg-to-leg Bioelectrical impedance analysis to estimate body fat in obesity. Obesity Surgery 2011; 21: 917-23.
• 21. Boneva-Asiova Z1, Boyanov MA. Body composition analysis by leg-to-leg bioelectrical impedance and dual-energy X-ray absorptiometry in non-obese and obese individuals. Diabetes Obesity Metabolism 2008; 10: 1012-1018.
• 22. Kyle UG, Genton L, Karsegard L, Slosman DO, Pichard C. Single prediction equation for bioelectrical impedance analysis in adults aged 20–94 years. Nutrition 2001; 17: 248-253.
• 23. Houtkooper LB, Lohman TG, Going SB, Howell WH. Why bioelectrical impedance analysis should be used for estimating adiposity. American Journal Clinical Nutrition 1996; 436-448.
• 24. Lapidus L, Bengtsson C, Larsson B, et al. Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden. Br Med J (Clin Res Ed). 1984; 289:1257-1261.
• 25. Kocovski L, Lee JD, Parpia S, Fernandes J, Nair V. Association of Waist-Hip Ratio to Sudden Cardiac Death and Severe Coronary Atherosclerosis in Medicolegal Autopsies. The American Journal of Forensic Medicine and Pathology 2017; 38: 226-228.
• 26. Price GM, Uauy R, Breeze E, et al. Weight, shape, and mortality risk in older persons: elevated waist-hip ratio, not high body mass index, is associated with a greater risk of death. The American Journal of Clinical Nutrition 2006; 84: 449-460.
• 27. Mikkola TJ, Salonen MK, Kajantie E, Kautiainen H, Eriksson JG. Associations of fat and lean body mass with circulating amino acids in older men and women. The Journals of Gerontology: Series A, glz 126 2019.