Bioimpedance analysis as a promising screening technology in children


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Objective: to develop a method for early non-invasive diagnosis of insulin resistance (IR) in pediatric practice. Subjects and methods. The investigation involved 1,939 children and adolescents who were divided into 2 age strata: under 10 years (n=625) and 10 years and older (n=1314). Each examinee underwent a set of clinical and metabolic studies, which included anthropometric measurements, by calculating the body mass index standard deviation score, bioimpedancometry with the determination of the main indicators of the body composition. In a random sample of 1859 examinees, serum insulin and glucose levels were determined, by estimating the homeostasis model assessment index of IR (HOMA-IR), C-peptide, leptin, and lipid spectrum. A correlation analysis was carried out to search for relationships between the studied bioimpedancometric parameters and metabolic status. ROC analysis was used to calculate the threshold visceral fat area values associated with a high risk for IR. Results. The statistical analysis revealed the threshold values of visceral fat area for bioimpedancometry, which were associated with the risk of IR. The obtained procedure had the sensitivity and specificity, which were comparable to those of the HOME index. Conclusion. Application of bioimpedancometry as a screening method for identifying a risk group among children and adolescents with different body weights will be able to implement timely therapeutic and preventive measures.

Full Text

Restricted Access

About the authors

Yu. G Samoilova

Siberian State Medical University, Ministry of Health of Russia

D. V Podchinenova

Siberian State Medical University, Ministry of Health of Russia

D. A Kudlay

State Research Center «Institute of Immunology», Federal Biomedical Agency of Russia; I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia

O. A Oleynik

Siberian State Medical University, Ministry of Health of Russia

M. V Matveeva

Siberian State Medical University, Ministry of Health of Russia

M. A Kovarenko

Siberian State Medical University, Ministry of Health of Russia

E. V Sagan

Siberian State Medical University, Ministry of Health of Russia

N. M Diraeva

Siberian State Medical University, Ministry of Health of Russia

N. S Denisov

Siberian State Medical University, Ministry of Health of Russia

References

  1. Di Cesare M., Soric M., Bovet P. et al. The epidemiological burden of obesity in childhood: a worldwide epidemic requiring urgent action. BMC Med. 2019; 17 (1): 212. doi: 10.1186/s12916-019-1449-8
  2. World Health Organization (WHO). Obesity and overweight. URL: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
  3. World Health Organization (WHO). Nutrition: Global Targets 2025. Geneva: WHO, 2018. URL: http://www.who.int/nutrition/global-target-2025/en/
  4. World Health Organization (WHO). Global Action Plan for the Prevention and Control of NCDs 2013-2020. Geneva: WHO, 2015. URL: http://www.who.int/nmh/events/ncd_action_plan/en/
  5. Дахкильгова Х.Т. Детское ожирение: современное состояние проблемы. Вопросы детской диетологии. 2019; 17 (5): 47-53 doi: 10.20953/1727-5784-2019-5-47-53
  6. Quek Y.-H., Tam W.W.S., Zhang M.W.B. et al. Exploring the association between childhood and adolescent obesity and depression: a meta-analysis. Obes Rev. 2017; 18: 742-54. doi: 10.1111/obr.12535
  7. Faienza M.F., Chiarito M., Molina-Molina E. et al. Childhood obesity, cardiovascular and liver health: a growing epidemic with age. World J. Pediatr. 2020; 16 (5): 438-45. doi: 10.1007/s12519-020-00341-9
  8. Weihrauch-Bluher S., Schwarz P., Klusmann J.-H. Childhood obesity: increased risk for cardiometabolic disease and cancer in adulthood. Metabolism. 2019; 92: 147-52. doi: 10.1016/j.metabol.2018.12.001
  9. Отто Н.Ю., Сагитова Г.Р., Никулина Н.Ю. и др. Частота метаболического синдрома и других осложнений ожирения в практике детского эндокринолога. Вестник волгоградского государственного медицинского университета. 2018; 67 (3): 93-8 doi: 10.19163/1994-9480-2018-3(67)-93-98
  10. Merder-Co§kun D., Uzuner A., Keni§-Co§kun O. et al. Relationship between obesity and musculoskeletal system findings among children and adolescents. Turk JPhys Med Rehabil. 2017; 63 (3): 207-14. doi: 10.5606/tftrd.2017.422
  11. Abdullah A., Wolfe R., Stoelwinder J.U. et al. The number of years lived with obesity and the risk of all-cause and cause-specific mortality. Int J. Epidemiol. 2011; 40: 985-96. doi: 10.1093/ije/dyr018
  12. Park M.H., Falconer C., Viner R.M. et al. The impact of childhood obesity on morbidity and mortality in adulthood: a systematic review. Obes Rev. 2012; 13: 985-1000. doi: 10.1111/j.1467-789X.2012.01015.x
  13. Tremmel M., Gerdtham U.-G., Nilsson P.M. et al. Economic burden of obesity: a systematic literature review. Int J. Environ Res Public Health. 2017; 14: 435. doi: 10.3390/ijerph14040435
  14. Simmonds M., Burch J., Llewellyn A. et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. Health TechnolAssess. 2015; 19 (43): 1-336. doi: 10.3310/hta19430
  15. Simmonds M., Llewellyn A., Owen C.G. et al. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev. 2016; 17: 95-107. doi: 10.1111/obr.12334
  16. Мамаев А.Н., Кудлай Д.А. Статистические методы в медицине. М.: Практическая медицина, 2021; 136 с.
  17. Самойлова Ю.Г., Кудлай Д.А., Подчиненова Д.В. и др. Биоимпедансметрия как метод диагностики висцерального ожирения в педиатрической практике. Молекулярная медицина. 2019; 6: 26-31 doi: 10.29296/24999490-2019-06-05
  18. Graf C., Ferrari N. Metabolic Syndrome in Children and Adolescents. Visc Med. 2016; 32 (5): 357-62. doi: 10.1159/000449268
  19. Harrell J.S., Jessup A., Greene N. Changing our future: obesity and the metabolic syndrome in children and adolescents. J. Cardiovasc Nurs. 2006; 21: 322-30. doi: 10.1097/00005082-200607000-00014
  20. Османов Э.М., Маньяков Р.Р., Османов Р.Э. и др. Медицина 4 «П» как основа новой системы здравоохранения. Вестник российских университетов. Математика. 2017; 22 (6-2): 1680-5 doi: 10.20310/1810-0198-2017-22-6-1680-1685
  21. Подчиненова Д.В., Самойлова Ю.Г., Кобякова О.С. и др. Оптимизация алгоритма профилактики и ранней диагностики метаболического синдрома и его предикторов. Уральский медицинский журнал. 2019; 11 (179): 51-5 doi: 10.25694/URMJ.2019.12.11

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2021 Russkiy Vrach Publishing House

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies