Preview

Проблемы Эндокринологии

Расширенный поиск

Методы оценки количества и распределения жировой ткани в организме и их клиническое значение

https://doi.org/10.14341/probl201460353-58

Полный текст:

Аннотация

Special attention in the studies of the pathogenetic mechanisms of obesity is given to the determination of the total amount of adipose tissue in the body and its topography. The quantification of the body composition requires special investigations that are currently performed with the use of new visualization techniques. The high-resolution technologies make it possible to differentiate between the ectopic, subcutaneous, and visceral adipose tissues and to determine their amounts. It is especially important in the light of the data suggesting the great contribution of visceral obesity to the development of cardiovascular pathology and metabolic disorders. The understanding of the advantages, disadvantages, and limitations of the methods for the quantification of the adipose tissue and determination of its distribution patterns in the body makes it possible to chose the optimal technique for the objectives of a given study.

Об авторах

П Л Окороков
ФГБУ «Эндокринологический научный центр» Минздрава РФ, Москва
Россия


О В Васюкова
ФГБУ «Эндокринологический научный центр» Минздрава РФ, Москва
Россия


А В Воронцов
ФГБУ «Эндокринологический научный центр» Минздрава РФ, Москва
Россия


Список литературы

1. Li S, Shin HJ, Ding EL, van Dam RM. Adiponectin Levels and Risk of Type 2 Diabetes. JAMA. 2009;302(2):179. doi: 10.1001/jama.2009.976

2. Frystyk J, Berne C, Berglund L, Jensevik K, Flyvbjerg A, Zethelius B. Serum Adiponectin Is a Predictor of Coronary Heart Disease: A Population-Based 10-Year Follow-Up Study in Elderly Men. The Journal of Clinical Endocrinology & Metabolism. 2007;92(2):571-576. doi: 10.1210/jc.2006-1067

3. Matsushita Y, Nakagawa T, Yamamoto S, Kato T, Ouchi T, Kikuchi N, et al. Adiponectin and visceral fat associate with cardiovascular risk factors. Obesity (Silver Spring). 2014;22(1):287-291. doi: 10.1002/oby.20425

4. Kvist H, Chowdhury B, Grangard U. Total and visceral adipose-tissue volumes derived from measurements with computed tomography in adult men and women: predictive equations. Am J Clin Nutr 1988;48:1351–1361.

5. Bigornia SJ, LaValley MP, Benfield LL, Ness AR, Newby PK. Relationships between direct and indirect measures of central and total adiposity in children: What are we measuring? Obesity (Silver Spring). 2013;21(10):2055-2062. doi: 10.1002/oby.20400

6. Kullberg J, von Below C, Lönn L, Lind L, Ahlström H, Johansson L. Practical approach for estimation of subcutaneous and visceral adipose tissue. Clinical Physiology and Functional Imaging. 2007;27(3):148-153. doi: 10.1111/j.1475-097X.2007.00728.x

7. Johansson AG, Forslund A, SjOdin A, Mallmin H, Hambraeus L, Ljunghall S. Determination of body composition-a comparison of dual-energy x-ray absorptiometry and hydrodensitometry. Am J Clin Nutr 1993; 57:323-326.

8. Malavolti M, Mussi C, Poli M, Fantuzzi AL, Salvioli G, Battistini N, et al. Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years. Annals of Human Biology. 2003;30(4):380-391. doi: 10.1080/0301446031000095211

9. Demura S, Sato S, Kitabayashi T. Percentage of Total Body Fat as Estimated by Three Automatic Bioelectrical Impedance Analyzers. Journal of Physiological Anthropology and Applied Human Science. 2004;23(3):93-99. doi: 10.2114/jpa.23.93

10. Ellis KJ. Measuring body fatness in children and young adults: Comparison of bioelectrical impedance analysis, total body electrical conductivity, and dual-energy x-ray absorptiometry. Int J Obes. 1996;20:866-873.

11. Goran MI, Driscoll P. Johnson R, Nagy TR, Hunter G. Cross-calibration of body-composition techniques against dual-energy X-ray absorptiometry in young children. Am J Clin Nutr 1996;63:299-2305.

12. Sung RYT. Measurement of body fat using leg to leg bioimpedance. Archives of Disease in Childhood. 2001;85(3):263-267. doi: 10.1136/adc.85.3.263

13. Boot AM, Bouquet J, de Ridder MA, Krenning EP, de Muinck Keizer-Schrama SM. Determinants of body composition measured by dual-energy X-ray absorptiometry in Dutch children and adolescents. Am J Clin Nutr. 1997;66(2):232-238.

14. Okasora K, Takaya R, Tokuda M, Fukunaga Y, Oguni T, Tanaka H, et al. Comparison of bioelectrical impedance analysis and dual energy X-ray absorptiometry for assessment of body composition in children. Pediatrics International. 1999;41(2):121-125. doi: 10.1046/j.1442-200X.1999.4121048.x

15. Ellis KJ. Measuring body fatness in children and young adults: Comparison of bioelectrical impedance analysis, total body electrical conductivity, and dual-energy x-ray absorptiometry. Int J Obes .1996;20:866-73.

16. Eisenmann JC, Heelan KA, Welk GJ. Assessing Body Composition among 3- to 8-Year-Old Children: Anthropometry, BIA, and DXA. Obesity (Silver Spring). 2004;12(10):1633-1640. doi: 10.1038/oby.2004.203

17. Xiong K-Y, He H, Zhang Y-M, Ni G-X. Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years. BMC Public Health. 2012;12(1):835. doi: 10.1186/1471-2458-12-835

18. McCarthy HD, Samani-Radia D, Jebb SA, Prentice AM. Skeletal muscle mass reference curves for children and adolescents. Pediatric Obesity. 2013:n/a-n/a. doi: 10.1111/j.2047-6310.2013.00168.x

19. Armellini F, Zamboni M, Rigo L, Todesco T, Bosello O, Bergamo-Andreis IA, et al. The contribution of sonography to the measurement of intra-abdominal fat. Journal of Clinical Ultrasound. 1990;18(7):563-567. doi: 10.1002/jcu.1870180707

20. Bellisari A, Roche AF, Siervogel RM. Reliability of B-mode ultrasonic measurements of subcutaneous adipose tissue and intra-abdominal depth: comparisons with skinfold thickness. Int J Obes Relat Metab Disord 1993;17:475–80.

21. Micklesfield LK, Goedecke JH, Punyanitya M, Wilson KE, Kelly TL. Dual-Energy X-Ray Performs as Well as Clinical Computed Tomography for the Measurement of Visceral Fat. Obesity (Silver Spring). 2012;20(5):1109-1114. doi: 10.1038/oby.2011.367

22. Hill AM, LaForgia J, Coates AM, Buckley JD, Howe PRC. Estimating Abdominal Adipose Tissue with DXA and Anthropometry*. Obesity (Silver Spring). 2007;15(2):504-504. doi: 10.1038/oby.2007.629

23. Ball SD, Swan PD. Accuracy of estimating intraabdominal fat in obese women. J Exerc Physiol Online 2003;6:1-7.

24. Litwin SE. Which Measures of Obesity Best Predict Cardiovascular Risk? Journal of the American College of Cardiology. 2008;52(8):616-619. doi: 10.1016/j.jacc.2008.05.017

25. Maurovich-Horvat P, Massaro J, Fox CS, Moselewski F, O'Donnell CJ, Hoffmann U. Comparison of anthropometric, area- and volume-based assessment of abdominal subcutaneous and visceral adipose tissue volumes using multi-detector computed tomography. International Journal of Obesity. 2006;31(3):500-506. doi: 10.1038/sj.ijo.0803454

26. Seidell JC, Bakker CJ, Van der KK. Imaging techniques for measuring adipose-tissue distribution - a comparison between computed tomography and 1.5-T magnetic resonance. Am J Clin Nutr 1990;51:953-957.

27. Sjoestrom L. A computed tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue. Int J Obes. 1991;(15):19-30.

28. Borkan GA, Gerzof SG, Robbins AH, Hults DE, Silbert CK, Silbert JE. Assessment of abdominal fat content by computed tomography. Am J Clin Nutr. 1982;(36):172-177.

29. So R, Sasai H, Matsuo T, Tsujimoto T, Eto M, Saotome K, et al. Visceral Adipose Tissue Volume Estimated at Imaging Sites 5-6 cm Above L4-L5 Is Optimal for Predicting Cardiovascular Risk Factors in Obese Japanese Men. The Tohoku Journal of Experimental Medicine. 2012;227(4):297-305. doi: 10.1620/tjem.227.297

30. Irlbeck T, Massaro JM, Bamberg F, O'Donnell CJ, Hoffmann U, Fox CS. Association between single-slice measurements of visceral and abdominal subcutaneous adipose tissue with volumetric measurements: the Framingham Heart Study. International Journal of Obesity. 2010;34(4):781-787. doi: 10.1038/ijo.2009.279

31. Pou KM, Massaro JM, Hoffmann U, Lieb K, Vasan RS, O'Donnell CJ, et al. Patterns of Abdominal Fat Distribution: The Framingham Heart Study. Diabetes Care. 2008;32(3):481-485. doi: 10.2337/dc08-1359

32. Desprès J-P, Lamarche B. Effects of diet and physical activity on adiposity and body fat distribution: implications for the prevention of cardiovascular disease. Nutr Res Rev. 1993;(6):137-159.

33. Bessesen DH. Update on Obesity. The Journal of Clinical Endocrinology & Metabolism. 2008;93(6):2027-2034. doi: 10.1210/jc.2008-0520

34. Сусляева М.Н., Завадовская В.Д., Шульга О.С., Завьялова Ю.Г., Самойлова Ю.Г., Бородин О.Ю. Алгоритм лучевого исследования висцерального ожирения у больных с метаболическим синдромом. // Бюллетень Сибирской медицины. 2012;11(5):27-34. [Suslyayeva NM, Zavadovskaya VD, Shoulga OS, Zaviyalova YuG, Samoilova YuG, Borodin OYu. Algorithm for radiological examination of visceral obesity in patients with metabolic syndrome. Biulleten' Sibirskoi Meditsiny. 2012;11(5):27-34.]


Для цитирования:


Окороков П.Л., Васюкова О.В., Воронцов А.В. Методы оценки количества и распределения жировой ткани в организме и их клиническое значение. Проблемы Эндокринологии. 2014;60(3):53-58. https://doi.org/10.14341/probl201460353-58

For citation:


Okorokov P.L., Vasyukova O.V., Vorontsov A.V. The methods for the characteristic of adipose tissue in the organism and their clinical significance. Problems of Endocrinology. 2014;60(3):53-58. (In Russ.) https://doi.org/10.14341/probl201460353-58

Просмотров: 102


ISSN 0375-9660 (Print)
ISSN 2308-1430 (Online)