Journal articles on the topic 'Analysis body compositon'

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1

KARAK, KALIDAS, SK MITHUN SK MITHUN, and DR SAKTI RANJAN MISHRA. "A Comparative Analysis on the Level of Body Composition Among Active and Inactive Girls." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 493–94. http://dx.doi.org/10.15373/2249555x/dec2013/151.

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PIÑEDA GERALDO, ALDO, YULIANA GONZÁLEZ RINCÓN, PATRICIA ÁLVAREZ VEGA, and CARLOS VILLAREAL PEÑA. "SELECCIÓN Y ANÁLISIS DE ECUACIONES ANTROPOMÉTRICAS PARA EL CÁLCULO DE LA COMPOSICIÓN CORPORAL EN ADULTOS." Revista, Ingeniería, Matemáticas y Ciencias de la Información 4, no. 7 (January 10, 2017): 47–56. http://dx.doi.org/10.21017/rimci.2017.v4.n7.a21.

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3

Tutal, Emre, Mehtap Erkmen Uyar, Siren Sezer, Zeynep Bal, Tugba Bozkurt, Nurhan Özdemir Acar, and Mehmet Haberal. "The Relationship between Body Composition Analysis, Erythropoietin Requirements and Hemoglobin Variability in Hemodialysis Patients." Turkish Nephrology Dialysis Transplantation 24, no. 01 (January 26, 2015): 17–22. http://dx.doi.org/10.5262/tndt.2015.1001.03.

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Feher, Piroska, Dorina Annar, Annamaria Zsakai, and Eva Bodzsar. "The body composition analysis as a complementary tool in the screening of bone structural abnormalities." Anthropologischer Anzeiger 77, no. 2 (April 30, 2020): 161–71. http://dx.doi.org/10.1127/anthranz/2020/1136.

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Brewer, Gabrielle J., Malia N. M. Blue, Katie R. Hirsch, Austin M. Peterjohn, and Abbie E. Smith-Ryan. "Appendicular Body Composition Analysis." Journal of Strength and Conditioning Research 33, no. 11 (November 2019): 2920–25. http://dx.doi.org/10.1519/jsc.0000000000003374.

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NAKADOMO, FUMIO, KIYOJI TANAKA, HITOSHI WATANABE, KANJI WATANABE, and KAZUYA MAEDA. "ASSESSMENT OF BODY COMPOSITION BY BIOELECTRICAL IMPEDANCE ANALYSIS." Japanese Journal of Physical Fitness and Sports Medicine 40, no. 1 (1991): 93–101. http://dx.doi.org/10.7600/jspfsm1949.40.93.

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7

Borga, Magnus, Janne West, Jimmy D. Bell, Nicholas C. Harvey, Thobias Romu, Steven B. Heymsfield, and Olof Dahlqvist Leinhard. "Advanced body composition assessment: from body mass index to body composition profiling." Journal of Investigative Medicine 66, no. 5 (March 25, 2018): 1.10–9. http://dx.doi.org/10.1136/jim-2018-000722.

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This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.
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Higgins, Michelle I., J. Peter Marquardt, Viraj A. Master, Florian J. Fintelmann, and Sarah P. Psutka. "Machine Learning in Body Composition Analysis." European Urology Focus 7, no. 4 (July 2021): 713–16. http://dx.doi.org/10.1016/j.euf.2021.03.013.

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9

SAMOYLOV, A. S., A. V. ZHOLINSKIY, N. V. RYLOVA, M. N. VELICHKO, I. V. BOLSHAKOV, A. V. BODROV, R. A. SIMONOV, and P. D. CHIZHIKOV. "Modern methods of body composition analysis." Practical medicine 20, no. 1 (2022): 21–26. http://dx.doi.org/10.32000/2072-1757-2022-1-21-26.

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The article provides an overview of the Russian and foreign literature on modern methods for analyzing body composition. Much attention is paid to the description of such common methods as the measurement of anthropometric parameters and bioimpedance analysis. Despite low accuracy, anthropometry is still one of the most popular methods for an approximate assessment of nutritional status. We also discuss in detail the most commonly used laboratory methods, such as dual-energy X-ray absorptiometry, computed tomography and magnetic resonance imaging, which can provide accurate and comprehensive information about the human body composition. The need for body composition analysis exists in such areas of clinical medicine as dietetics, nephrology, combustiology, surgery, cardiology, anesthesiology and resuscitation, etc. It was concluded that, depending on the goals and objectives in a particular clinical situation, various research methods and their combinations can be used.
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10

KAWAKATSU, MITSURU, and KAZUHISA SHIMOGAKI. "108. Body Composition Analysis by DEXA." Japanese Journal of Radiological Technology 47, no. 2 (1991): 219. http://dx.doi.org/10.6009/jjrt.kj00003322894.

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11

Kerksick, Chad, Megan Grimstvedt, Chris Rasmussen, Jerry L. Mayhew, Mike Greenwood, Anthony Almada, and Richard Kreider. "Regional Body Composition Analysis Using DEXA." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S300. http://dx.doi.org/10.1249/00005768-200505001-01568.

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12

Kerksick, Chad, Megan Grimstvedt, Chris Rasmussen, Jerry L. Mayhew, Mike Greenwood, Anthony Almada, and Richard Kreider. "Regional Body Composition Analysis Using DEXA." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S300. http://dx.doi.org/10.1097/00005768-200505001-01568.

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13

CATON, JOHN R., PAUL A. MOL??, WILLIAM C. ADAMS, and DOUGLAS S. HEUSTIS. "Body composition analysis by bioelectrical impedance." Medicine & Science in Sports & Exercise 20, no. 5 (October 1988): 489???491. http://dx.doi.org/10.1249/00005768-198810000-00010.

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14

Kaur, Harsharan. "Matching Body Composition Confirms Decreased Phase Angle among Diabetics Compared to Controls." Journal of Advanced Research in Medicine 09, no. 3 (October 21, 2022): 1–6. http://dx.doi.org/10.24321/2349.7181.202207.

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Background: Diabetes Mellitus refers to a group of common metabolic disorders that depicts hyperglycemia. As per WHO, the number of people with diabetes rose from 108 million in 1980 to 422 million in 2014. The global prevalence of diabetes among adults over 18 years of age rose from 4.7% in 1980 to 8.5% in 2014. Simple screening can help detect diabetes early and save lives. Many studies have found decreased phase angle among diabetics than controls but since age and BMI can be the confounders, there are few studies to match these parameters to draw the right conclusions. The objective of study was to do a matched comparison of the body composition (Body Fat%, Lean Body Mass and Total Body Water, Intracellular and Extracellular Water %) and biochemical investigations of Diabetics and Non-Diabetic Controls. Methods: The study population was taken from Indira G and hi Medical College, Shimla, which is one of the Tertiary care centers of Himachal Pradesh located in North India. All patients undergoing Body Composition measurements were diagnosed as diabetics on the basis of ADA (American Diabetic Association) diagnostic criteria. 60 diabetic patients fulfilling the inclusion criteria and 60 healthy age and sex-matched controls were enrolled in this study. Results: Matched analysis was done and it was found that the Phase angle among diabetics was lower (5.6° + 0.9°) than controls (6.3° + 1.1°) and was statistically significant, p-value <0.005. A comparison of biochemical investigations shows that there was a statistically significant difference between diabetics and controls with respect to FBS, HbA1C, Cholesterol, VLDL and HDL. Conclusion: Diabetics and controls were age, Sex and BMI matched with moderate physical activity. Waist Circumference (WC) was higher in diabetics indicating central obesity. The diabetics were found to be hypertensive with poor blood sugar control and dyslipidemia. The Phase Angle was decreased in diabetics than in controls, showing the prognosis of the disease.
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15

Ayvaz, Göksun. "Methods for Body Composition Analysis in Adults." Open Obesity Journal 3, no. 1 (May 23, 2011): 62–69. http://dx.doi.org/10.2174/1876823701103010062.

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16

Mihajlovic, Bojan, Sasa Mijatov, Biljana Srdic, and Edita Stokic. "Body composition analysis in female ballet dancers." Medical review 56, no. 11-12 (2003): 579–83. http://dx.doi.org/10.2298/mpns0312579m.

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Introduction The aim of this study was to evaluate and compare the nutritional status and body composition in female ballet dancers and a group of non-athletic female controls. Materials and methods The study group consisted of 30 female ballet dancers, aged 17.4?2.01, whereas the control group included 30 non-athletic female examinees, aged 18.00 years on average. Height and weight were measured and body mass index (BMI) was calculated in all subjects. Body composition was estimated using the bioelectrical impedance method. Results Body composition analysis of ballet dancers revealed significantly lower values of body fat mass compared to the control group (18.85?4.50% vs. 23.41?4.34). Most examinees in both groups were of normal weight. 50% of ballet dancers and 23.33% of examinees in the control group were underweight, while overweight subjects were registered only in the control group. Most underweight ballet dancers had lower body fat mass, whereas majority of underweight examinees in the control group presented with normal body fat mass. Normal-weight obesity was established in 40.91% candidates in the control and 6.67% in the study group. Conclusion Ballet dancers had significantly lower values of body mass and BMI, compared to the study group. In order to prevent very serious complications caused by changes in size and proportion of some body compartments, it is necessary to carry out assessment of body composition more often in high-risk groups, such as the study group of ballet dancers.
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17

TELLADO, JOSE M., JOSE L. GARCIA-SABRIDO, JAMES A. HANLEY, HARRY M. SHIZGAL, and NICOLAS V. CHRISTOU. "Predicting Mortality Based on Body Composition Analysis." Annals of Surgery 209, no. 1 (January 1989): 81–87. http://dx.doi.org/10.1097/00000658-198901000-00012.

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18

WEBSTER, BRENDA L., and SUSAN I. BARR. "Body composition analysis of female adolescent athletes." Medicine & Science in Sports & Exercise 25, no. 5 (May 1993): 648???652. http://dx.doi.org/10.1249/00005768-199305000-00019.

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19

Cassady, Sandra L., Ann M. Duffy, Karen M. Meier, Jodi M. Venteicher, and Jacquelyn B. Zimmerman. "Reliability of Near Infrared Body Composition Analysis." Cardiopulmonary Physical Therapy Journal 7, no. 2 (1996): 8–12. http://dx.doi.org/10.1097/01823246-199607020-00003.

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20

Kehayias, Joseph J., and Silvia Valtueña. "Neutron activation analysis determination of body composition." Current Opinion in Clinical Nutrition and Metabolic Care 2, no. 6 (November 1999): 453–63. http://dx.doi.org/10.1097/00075197-199911000-00004.

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21

Baldwin, Claire E., Jennifer D. Paratz, and Andrew D. Bersten. "Body Composition Analysis in Critically Ill Survivors." Journal of Parenteral and Enteral Nutrition 36, no. 3 (February 7, 2012): 306–15. http://dx.doi.org/10.1177/0148607111433055.

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22

Siani, V., E. I. Mohamed, C. Maiolo, N. Di Daniele, A. Ratiu, A. Leonardi, and A. De Lorenzo. "Body composition analysis for healthy Italian vegetarians." Acta Diabetologica 40, S1 (October 2003): s297—s298. http://dx.doi.org/10.1007/s00592-003-0091-1.

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23

Yasui, Tomoyo, Osamu Ishiko, Toshiyuki Sumi, Ken‐ichi Honda, Kouzo Hirai, Sadako Nishimura, Yoshinari Matsumoto, and Sachio Ogita. "Body composition analysis of cachectic rabbits by total body electrical conductivity." Nutrition and Cancer 32, no. 3 (January 1998): 190–93. http://dx.doi.org/10.1080/01635589809514739.

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24

Forbes, G. B. "Exercise and body composition." Journal of Applied Physiology 70, no. 3 (March 1, 1991): 994–97. http://dx.doi.org/10.1152/jappl.1991.70.3.994.

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We assessed changes in body composition in 41 young adults who engaged in various exercise and/or training programs on ad libitum diets. Most of those who gained weight sustained an increase in lean body mass (LBM), and most of those who lost weight lost LBM as well as fat. The change in LBM was directly related to the change in weight, with a regression slope of 0.500. An analysis of published data confirms these findings and, in concert with our data, provides the additional information that the magnitude of the change in body composition in exercising individuals is influenced by body fat content, just as it is for nonexercising individuals.
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25

Barr, Susan I., Linda J. McCargar, and Susan M. Crawford. "Practical Use of Body Composition Analysis in Sport." Sports Medicine 17, no. 5 (May 1994): 277–82. http://dx.doi.org/10.2165/00007256-199417050-00001.

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26

Shishkova, Aна, P. Petrova, Anton Tonev, G. Iliev, P. Bahlova, O. Softov, and E. Kalchev. "Analysis of body composition using bioimpedance (BIA) data." Scripta Scientifica Medica 40, no. 2 (December 20, 2008): 187. http://dx.doi.org/10.14748/ssm.v40i2.541.

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Papadimas, G. K., G. Terzis, S. Methenitis, K. Spengos, C. Papadopoulos, S. Vassilopoulou, S. Kavouras, H. Michelakakis, and P. Manta. "Body composition analysis in late-onset Pompe disease." Molecular Genetics and Metabolism 102, no. 1 (January 2011): 41–43. http://dx.doi.org/10.1016/j.ymgme.2010.09.002.

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OLSZEWSKA, KATARZYNA. "Bioelectrical impedance analysis for body mass composition assessment." LECZENIE ŻYWIENIOWE I METABOLICZNE 1, no. 2 (November 22, 2005): 65–70. http://dx.doi.org/10.1066/s10020050012.

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Fogelholm, M., and W. van Marken Lichtenbelt. "Comparison of body composition methods: a literature analysis." European Journal of Clinical Nutrition 51, no. 8 (August 1997): 495–503. http://dx.doi.org/10.1038/sj.ejcn.1600448.

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Cunha, A. D., M. E. S. Takahashi, M. N. Silveira, M. C. S. Mendes, C. Mosci, C. D. Ramos, S. R. Brambilla, F. V. Pericole, S. T. O. Saad, and J. B. C. Carvalheira. "Body composition analysis in patients with multiple myeloma." Clinical Nutrition ESPEN 40 (December 2020): 669. http://dx.doi.org/10.1016/j.clnesp.2020.09.794.

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31

Ramadhan, Chairul Umam, Debi Krisna Irawan, Rafdlal Saeful Bakhri, Faiz Faozi, Irpan Abdurahman, and Mochammad Latif. "Body Composition Analysis: Physique Rating Dan Body Fat Percentage Pada Atlet Futsal." Biormatika : Jurnal ilmiah fakultas keguruan dan ilmu pendidikan 8, no. 1 (February 21, 2022): 120–27. http://dx.doi.org/10.35569/biormatika.v8i1.1178.

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Tujuan penelitian ini yaitu untuk mengetahui kondisi physique rating dan body fat pada atlet Unit Kegiatan Mahasiswa (UKM) futsal STKIP Bina Mutiara Sukabumi. Metode yang digunakan pada penelitian ini yaitu deskriptif kuantitatif yang menjabarkan bagaimana kondisi atlet UKM futsal STKIP Bina Mutiara Sukabumi. Sampel penelitian sebanyak 15 Orang yang termasuk dalam tim inti. Instrument dalam penelitian ini yaitu menggunakan timbangan Tanita model BC 541, lalu dilakukan tes dengan mengukur physique rating dan body fat satu persatu untuk mengambil data sehingga dapat dilihat hasil dari kondisi Atlet Futsal STKIP Bina Mutiara Sukabumi. Hasil penelitian ini setelah data dikumpulkan dan di olah dengan menggunakan Microsoft Excel melalui penyajian data dalam bentuk tabel dan diagram dinyatakan bahwa kondisi Body Composition pada Atlet UKM Futsal STKIP Bina Mutiara Sukabumi setelah di analisis berdasarkan physique rating dan Body Fat belum semuanya memiliki kondisi Body Composition yang ideal, dimana ada ketidak sesuaian antara sampel yang memiliki physique rating yang baik tetapi memiliki Body fat yang jelek. Dengan demikian dapat ditarik kesimpulan bahwa kondisi Body Composition pada Atlet UKM Futsal STKIP Bina Mutiara Sukabumi untuk physique rating dan Body Fat tidak semua pemain inti memiliki kondisi yang baik atau ideal hal ini dipengaruhi oleh banyak faktor, terutama untuk kondisi Body Fat dimana beberapa sampel yang memiliki physique rating yang baik, tetapi tidak memiliki Body Fat yang baik pula.
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Piasecki, Wojciech, Pawel Koteja, January Weiner, and Wojciech Froncisz. "New way of body composition analysis using total body electrical conductivity method." Review of Scientific Instruments 66, no. 4 (April 1995): 3037–41. http://dx.doi.org/10.1063/1.1145525.

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33

Dewit, O. "Whole body air displacement plethysmography compared with hydrodensitometry for body composition analysis." Archives of Disease in Childhood 82, no. 2 (February 1, 2000): 159–64. http://dx.doi.org/10.1136/adc.82.2.159.

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34

Sanchez, Benjamin, Antoine Lourdes Praveen Aroul, Eduardo Bartolome, Karthikeyan Soundarapandian, and Ramon Bragos. "Propagation of Measurement Errors Through Body Composition Equations for Body Impedance Analysis." IEEE Transactions on Instrumentation and Measurement 63, no. 6 (June 2014): 1535–44. http://dx.doi.org/10.1109/tim.2013.2292272.

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35

Myrtaj, Nazim, Abdulla Elezi, Seryozha Gontarev, and Eglantina Bilalli. "Fitness Influence on the Transformation of Body Composition and on the Improvement of Aerobic Sustainability in Women." Pedagogical Almanac 30, no. 1 (June 29, 2022): 93–99. http://dx.doi.org/10.54664/ixsu2434.

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The purpose of this research is to determine the effects of a specialised two-month fitness programme with strength exercises on the body composition and aerobic endurance in recreational women. The research included a group of women aged 18–35 who had not previously been engaged in recreational exercises in fitness centres. The sample included 50 women who exercised at the Fivestar fitness centre in Gjilan, and who underwent the abovementioned programme. The composition of the body was evaluated using a Tanita BC-601 device and the bioelectrical impedance analysis (BIA), which was conducted as a reference method in the research related to the analysis of body composition. For this research, the following variables of body composition and aerobic endurance were applied: body height (BH), body weight (BW), body mass index (BMI), body fat percentage (BFP), muscle mass (TBM), bone mass or density (BMD), calorie expenditure (DCI), body vitality (BMR), body water intake (TBW), visceral fat intake (AVF), and the Rockport fitness test for aerobic endurance (ROFT). For the dependent group, the T-test analysis was applied through statistical methods. The results obtained after statistical processing showed that, in relation to the two-month programme three times a week (24 trainings), physical exercises in the fitness can affect the reduction of subcutaneous adipose tissue, and thus reduce the risk of various cardiovascular diseases. In addition to reducing fat mass with strength exercises in the fitness, there was also an improvement in aerobic endurance. This shows that, besides aerobic exercise, weight training should be applied to increase aerobic capacity.
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36

Nikolaev, Dmitry V., and Svetlana P. Shchelykalina. "Bioimpedance analysis of human body composition: medical applications, terminology." Clinical nutrition and metabolism 2, no. 2 (April 15, 2021): 80–91. http://dx.doi.org/10.17816/clinutr72132.

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To diagnose and dynamically monitor patients with diseases accompanied by changes in body composition, data from a number of hardware analytical methods are required. Non-invasive, without radiation and chemical loads, fast and patientfriendly bioimpedance analysis of body composition comprehensively solves the problem of obtaining quantitative estimates of all components of body composition at the same time. This article discusses the terminology features of bioimpedance analysis of body composition and the most common mistakes in the use of terms. In the Russian-speaking medical environment, you can often find the use of a number of inaccurate terms related to bioimpedance analysis of the human body composition. At the same time, the terminology of bioimpedance analysis of human body composition in English-language publications has long been established. The article presents the Russian and English terms of bioimpedance analysis of the human body composition with corresponding abbreviations, as well as the hierarchy of the terms body composition components, body composition parameters, parameters of bioimpedance analysis of body composition and bioimpedance parameters. The most developed areas of application of bioimpedance analysis in medical practice are discussed: assessment of nutrition and dynamic observations of changes in body composition, assessment of the body mineral mass, assessment of the body hydration parameters, assessment of blood supply to tissues and organs, including in the monitoring mode, assessment of the asymmetry of paired organs and limbs, assessment of pre-start readiness, physical development and the level of fitness of the athletes muscular system.
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Safer, Umut, and Vildan Binay Safer. "Body composition analysis via single slice computed tomography analysis — The shortcomings." Journal of Geriatric Oncology 7, no. 1 (January 2016): 53–54. http://dx.doi.org/10.1016/j.jgo.2015.11.003.

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38

Gales, Rosemary, Deane Renouf, and Elizabeth Noseworthy. "Body composition of harp seals." Canadian Journal of Zoology 72, no. 3 (March 1, 1994): 545–51. http://dx.doi.org/10.1139/z94-073.

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Using chemical analysis we measured the composition of 26 harp seals (Phoca groenlandica) representing both sexes, aged between 3 months and 30 years, and encompassing a wide range of body conditions. Predictive relationships between total body water and total body fat contents, total body protein content, and gross energy were calculated. These equations allow accurate estimation of harp seal body composition provided total body water content and body mass are known. Using these data we compared the accuracy of three existing equations that have been used to predict body fat content of other species. We found that in adult harp seals, lean body mass has a relatively stable hydration of 70% but the hydration of blubber varied with body condition. Lipid content, and thus energy density of blubber, increased with increasing body condition.
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Brommage, Robert. "Validation and calibration of DEXA body composition in mice." American Journal of Physiology-Endocrinology and Metabolism 285, no. 3 (September 2003): E454—E459. http://dx.doi.org/10.1152/ajpendo.00470.2002.

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Validated methods of determining murine body composition are required for studies of obesity in mice. Dual-energy X-ray absorptiometry (DEXA) provides a noninvasive approach to assess body fat and lean tissue contents. Similar to DEXA analyses in other species, body fat measurements in mice show acceptable precision but suffer from poor accuracy. Because fat and lean tissues each contain various components, these inaccuracies likely result from selection of inappropriate calibration standards. Analysis of solvents showed that the PIXImus2 DEXA gave results consistent with theoretical calculations. Male mice weighing 26-60 g and having body fat percentages ranging from 3 to 49% were analyzed by both PIXImus2 DEXA and chemical carcass analysis. DEXA overestimated mouse fat content by an average of 3.3 g, and algorithms were generated to calculate body fat from both measured body fat values and the measured ratio of high- to low-energy X-ray attenuations. With calibration to mouse body fat content measured by carcass analysis, the PIXImus2 DEXA gives accurate body composition values in mice.
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40

Van Loan, M., T. Lohman, D. Williams, R. Boileau, J. Graves, M. Pollock, J. Wilmore, and W. Sinning. "BIOELECTRICAL IMPEDANCE ANALYSIS: MEASUREMENT OF BODY AXES FOR THE PREDICTION OF BODY COMPOSITION." Medicine and Science in Sports and Exercise 21, Supplement (April 1989): S38. http://dx.doi.org/10.1249/00005768-198904001-00228.

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SCURT, C. "DETERMINATION AND ANALYSIS OF BODY COMPOSITION AT ADULT LEVEL." Series IX Sciences of Human Kinetics 12(61), no. 2 (December 12, 2019): 189–96. http://dx.doi.org/10.31926/but.shk.2019.12.61.2.56.

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42

Lim, Soo. "Utility of Bioelectrical Impedance Analysis for Body Composition Assessment." Journal of Korean Diabetes 23, no. 2 (June 30, 2022): 106–12. http://dx.doi.org/10.4093/jkd.2022.23.2.106.

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People with obesity are at high risk of type 2 diabetes, cardiovascular diseases, and certain types of malignancy. A significant reduction in muscle mass is also associated with increased risk of developing sarcopenia. In general, body composition is affected by several factors, including ethnicity, environment, genetics, and lifestyle patterns. Assessment of body composition is an important tool for maintaining good general health and longevity, and is utilized by physicians and researchers to monitor disease severity and nutritional status. It can also be used to monitor the effectiveness of dietary and drug interventions. Dual energy X-ray absorptiometry is regarded as the gold standard method for analyzing body composition. However, there is an associated risk of a small amount of radiation exposure. In addition, severely obese people are not candidates for this method. Recently, bioelectrical impedance analysis (BIA) has been developed. BIA poses no radiation hazard, is easy applicable and relatively inexpensive. Thus, BIA is widely used in fitness centers as well as in hospitals. Several studies have been conducted to assess the effectiveness of BIA for measuring body composition, but most have focused on subjects of European descent. Of note, body composition differs among ethnic groups: Asians have a greater tendency toward obesity at a lower body mass index than Caucasians. Therefore, an ethnicity-specific approach is required for precise estimation of body composition using BIA. In conclusion, healthcare providers should have a thorough understanding of body composition assessment and the advantages and disadvantages of different measurement methods.
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Kim, Yong Hyuk, Min Kyoung Song, and Sochung Chung. "Body Composition Analysis in Newly Diagnosed Diabetic Adolescent Girls." Journal of Korean Society of Pediatric Endocrinology 16, no. 3 (2011): 172. http://dx.doi.org/10.6065/jkspe.2011.16.3.172.

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R Joshi, Ms Shruti, and Prof U. R. Bagal. "Development of Bioelectrical impedance analyzer for Body composition analysis." IOSR Journal of Electrical and Electronics Engineering 9, no. 5 (2014): 53–62. http://dx.doi.org/10.9790/1676-09525362.

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Pickhardt, Perry J., Ronald M. Summers, and John W. Garrett. "Automated CT-Based Body Composition Analysis: A Golden Opportunity." Korean Journal of Radiology 22, no. 12 (2021): 1934. http://dx.doi.org/10.3348/kjr.2021.0775.

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KAWAKATSU, MITSURU, and KAZUHISA SHIMOGAKI. "69. Clinical Significance of Body Composition Analysis by DEXA." Japanese Journal of Radiological Technology 47, no. 8 (1991): 1104. http://dx.doi.org/10.6009/jjrt.kj00003323813.

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Kim, Jung Hwan. "The Usefulness of Body Composition Analysis in Obese patients." Korean Journal of Obesity 25, no. 1 (March 31, 2016): 16–18. http://dx.doi.org/10.7570/kjo.2016.25.1.16.

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COELHO, Digmar, Fabrício F. BRASILINO, and Pedro Morales. "ANALYSIS OF THE BODY COMPOSITION OF POLE DANCE WOMEN." Fiep Bulletin- Online 87, no. I (January 1, 2017): 395–98. http://dx.doi.org/10.16887/87.a1.100.

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Hill, G. L. "Clinical Body Composition Using in vivo Neutron Activation Analysis." Transfusion Medicine and Hemotherapy 17, no. 3 (1990): 18–20. http://dx.doi.org/10.1159/000222546.

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Rogol, Alan D. "Body composition analysis during growth in children and adolescents." Current Opinion in Endocrinology and Diabetes 4, no. 2 (April 1997): 77–79. http://dx.doi.org/10.1097/00060793-199704000-00001.

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