Peculiarities of metabolic processes and vegetayive status in children with excess fraction of body fat mass
- 作者: Shtina I.E.1, Valina S.L.1, Ustinova O.Y.1,2, Alekseev V.B.1, Eisfel’D D.A.1, Luzhetskii K.P.1,2
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隶属关系:
- Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
- Perm State University
- 期: 卷 99, 编号 8 (2020)
- 页面: 841-847
- 栏目: HYGIENE OF CHILDREN AND ADOLESCENTS
- ##submission.datePublished##: 14.09.2020
- URL: https://archivog.com/0016-9900/article/view/639631
- DOI: https://doi.org/10.47470/0016-9900-2020-99-8-841-847
- ID: 639631
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Introduction. Obesity in children makes for the earlier occurrence of cardiovascular, musculoskeletal, and endocrine system diseases.
Data and methods. We examined 130 children who were distributed into two groups according to their body fat mass (BFM). Our test group included children with excess BFM fraction and our reference group was made up of children with normal body fat mass. All children were examined with bioimpedance analysis techniques. We comparatively assessed basic impedance analysis indices: fat, protein, carbohydrates, and mineral metabolism; as well as children’s vegetative status.
Results. We revealed 20% of children to have overweight as their BMI while impedance analysis indicated that 40% of children had it. Children with BFM excess had a smaller phase angle and less active cellular and musculoskeletal mass combined with lower metabolic rates detected in 50% of them. Changes in body composition in the test group were accompanied by elevated contents of dextrose, sodium, total cholesterol, and hydrocortisone and prevailing influences exerted by sympathetic vegetative regulation against the reference group. Correlation analysis allowed revealing direct correlations between a BFM fraction, cholesterol, and vegetative regulation parameters. We also revealed direct correlations between hydrocortisone, atherogenic lipids and body composition that characterized fat metabolism; reserve correlations between hydrocortisone and a faction of musculoskeletal mass; between lipids in blood serum and fat-free body mass and phase angle; between a fraction of body fat mass and metabolic rate, and a fraction of musculoskeletal mass.
Conclusions. Excess BFM fraction is a predictor of metabolic syndrome. Impedance analysis allows creating prevention programs aimed at correcting pathogenetic mechanisms that make for overweight occurrence.
作者简介
Irina Shtina
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
编辑信件的主要联系方式.
Email: shtina_irina@fcrisk.ru
ORCID iD: 0000-0002-5017-8232
MD, Ph.D., head of the laboratory of complex problems of children’s health with a clinical group of medical and preventive technologies of risk management, Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, 614045, Russian Federation.
e-mail: shtina_irina@mail.ru 俄罗斯联邦
Svetlana Valina
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: noemail@neicon.ru
ORCID iD: 0000-0003-1719-1598
俄罗斯联邦
Olga Ustinova
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies; Perm State University
Email: noemail@neicon.ru
ORCID iD: 0000-0002-9916-5491
俄罗斯联邦
Vadim Alekseev
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: noemail@neicon.ru
ORCID iD: 0000-0001-5850-7232
俄罗斯联邦
Darya Eisfel’D
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: noemail@neicon.ru
ORCID iD: 0000-0002-0442-9010
俄罗斯联邦
K. Luzhetskii
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies; Perm State University
Email: noemail@neicon.ru
ORCID iD: 0000-0003-0998-7465
俄罗斯联邦
参考
- WHO. Adolescent obesity and related behavior: trends and inequalities in the WHO European Region, 2002-2014. Available at: https://www.euro.who.int/__data/assets/pdf_file/0019/339211/WHO_ObesityReport_2017_v3.pdf
- De-Mateo-Silleras B., de-la-Cruz-Marcos S., Alonso-Izquierdo L., Camina-Martín M.A., Marugán-de-Miguelsanz J.M., Redondo-del-Río M.P. Bioelectrical impedance vector analysis in obese and overweight children. PLoS ONE. 2019; 14(1): e0211148. https://doi.org/10.1371/journal.pone.0211148
- Nikolaev D.V. Lectures on Bioimpedance Analysis of Human Body Composition [Lektsii po bioimpedansnomu analizu sostava tela cheloveka]. Moscow; 2016. (in Russian)
- Recommendations for the diagnosis, treatment and prevention of obesity in children and adolescents. Moscow: Praktika; 2015. (in Russian)
- Girsh Ya.V., Gerasimchik O.A. The role and place of bioimpedance analysis assessment of body composition of children and adolescents with different body mass. Byulleten’ sibirskoy meditsiny. 2018; 17(2): 121-32. https://doi.org/10.20538/1682-0363-2018-2-121-132 (in Russian)
- Okorokov P.L., Vasyukova O.V., Vorontsov A.V. The methods for the characteristic of adipose tissue in the organism and their clinical significance. Problemy endokrinologii. 2014; (3): 53-8. https://doi.org/10.14341/probl201460353-58 (in Russian)
- Anisimova A.V., Rudnev S.G., Godina E.Z., Nikolaev D.V., Chernykh S.P. The body composition of moscow children and adolescents: evaluation of representativeness of data of bio-impedance examination in health centers. Lechenie i profilaktika. 2014; (1): 24-9. (in Russian)
- Diouf A., Diongue O., Nde M., Idohou-Dossou N., Thiam M., Wade S. Validity of bioelectrical impedance analysis in predicting total body water and adiposity among Senegalese school-aged children. PLoS ONE. 2018; 13(10): e0204486. https://doi.org/10.1371/journal.pone.0204486
- Javed A., Jumean M., Murad M.H., Okorodudu D., Kumar S., Somers V.K., et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta-analysis. Pediatr. Obes. 2015; 10(3): 234-44. https://doi.org/10.1111/ijpo.242
- Rudnev S.G., Soboleva N.P., Sterlikov S.A., Nikolaev D.V., Starunova O.A., Chernykh S.P. et al. Bioimpedance Study of Body Composition in the Russian Population [Bioimpedansnoe issledovanie sostava tela naseleniya Rossii]. Moscow; 2014. (in Russian)
- Poluboyarinova I.V., Romantsova T.I. Adolescent obesity: terminology issues. Ozhirenie i metabolizm. 2006; (3): 9-13. (in Russian)
- Kotchen T.A. Obesity-related hypertension: epidemiology, pathophysiology, and clinical management. Am. J. Hypertens. 2010; 23(11): 1170-8. https://doi.org/10.1038/ajh.2010.172
- Kochetkov A.I., Ostroumova O.D., Starodubova A.V., Ostroumova T.M., Bondarenko D.A. Association between sympathetic nervous system activation, obesity and insulin resistance. Ratsional’naya farmakoterapiya v kardiologii. 2019; 15(2): 230-43. https://doi.org/10.20996/1819-6446-2019-15-2-230-243 (in Russian)
- Biro F.M., Wien M. Childhood obesity and adult morbidities. Am. J. Clin. Nutr. 2010; 91(5): 1499-505. https://doi.org/10.3945/ajcn.2010.28701B
- Swallen K.C., Reither E.N., Haas S.A., Meier A.M. Overweight, obesity and health-related quality of life among adolescents: the National Longitudinal Study of Adolescent Health. Pediatrics. 2005; 115(2): 340-7. https://doi.org/10.1542/peds.2004-0678
- Mustillo S., Worthman C., Erkanli A., Keeler G., Angold A., Costello E.J. Obesity and psychiatric disorder: developmental trajectories. Pediatrics. 2003; 111(4 Pt. 1): 851-9. https://doi.org/10.1542/peds.111.4.851
- Strauss R.S. Childhood obesity and self-esteem. Pediatrics. 2000; 105(1): e15. https://doi.org/10.1542/peds.105.1.e15
- Men’shikov V.V. Laboratory Research Methods in the Clinic [Laboratornye metody issledovaniya v klinike]. Moscow: Meditsina; 1987. (in Russian)
- Tits N.U. Clinical Evaluation of Laboratory Tests [Klinicheskaya otsenka laboratornykh testov]. Moscow: Meditsina; 1986. (in Russian)
- Danilova L.A. Analyzes of Blood, Urine and Other Body Fluids at Various Age Periods [Analizy krovi, mochi i drugikh biologicheskikh zhidkostey v razlichnye vozrastnye periody]. St. Petersburg: Spets-Lit; 2014. (in Russian)
- Baevskiy R.M. Ivanov G.G., Chireykin L.V., Gavrilushkin A.P., Dovgalevskiy P.Ya., Kukushkin Yu.A. et al. Analysis of heart rate variability using various electrographic systems. Vestnik aritmologii. 2001; (24): 65-87. (in Russian)
- Glantz S.A. Primer of Biostatistics. New-York: McGraw-Hill; 1994.
- Khodzhieva M.V., Skvortsova V.A., Borovik T.E., Namazova-Baranova L.S., Margieva T.V., Bushueva T.V. et al. Evaluating the physical development of early age schoolchildren (7–10 years): cohort study results. Pediatricheskaya farmakologiya. 2016; 13(4): 362-6. https://doi.org/10.15690/pf.v13i4.1608 (in Russian)
- Namazova-Baranova L.S., Eletskaya K.A., Kaytukova E.V., Makarova S.G. Evaluation of the physical development of children of secondary school age: an analysis of the results of a cross-sectional study. Pediatricheskaya farmakologiya. 2018; 15(4): 333-42. https://doi.org/10.15690/pf.v15i4.1948 (in Russian)
- Peshkov M.V., Sharaykina E.P. Gender features of bioelectrical impedance analysis indicators according to the body mass index in students. Sibirskoe meditsinskoe obozrenie. 2014; (6): 52-7. (in Russian)
- Soboleva N.P., Rudnev S.G., Nikolaev D.V., Eryukova T.A., Kolesnikov V.A., Mel’nichenko O.A. et al. The bio-impedance screening of population in health centers: prevalence of surplus body mass and obesity. Rossiyskiy meditsinskiy zhurnal. 2014; (4): 4-13. (in Russian)
- Romantsova T.I., Ostrovskaya E.V. Metabolically healthy obesity: definitions, protective factors, clinical relevance. Al’manakh klinicheskoy meditsiny. 2015; (S1): 75-87. (in Russian)
- Kozlova L.V., Bekezin V.V., Kozlov S.B., Kozlova I.S., Peresetskaya O.V., Kovalenko O.M. Metabolic syndrome in children and teenagers with obesity: diagnostics, criteria of working classification, features of treatment. Pediatriya. Zhurnal im. G.N. Speranskogo. 2009; 88(6): 142-50. (in Russian)
- Krasnoperova O.I., Smirnova E.N., Merzlova N.B. Condition of the vegetative status and metabоlic indicators in children and teenagers with obesity. Sibirskiy meditsinskiy zhurnal (Tomsk). 2011; (4): 165-7. (in Russian)
- Bolotova N.V., Lazebnikova S.V., Chicheva G.V. Clinical and hormonal disorders in adolescent girls with obesity. Ways to correct them. Pediatriya. Zhurnal im. G.N. Speranskogo. 2009; 88(5): 63-7. (in Russian)
- Artemova E.V. Synthesis, activation and deactivation of glucocorticoids. the biological role of cortisol in metabolic disorders. Ozhirenie i metabolizm. 2017; 14(2): 48-52. https://doi.org/10.14341/OMET2017248-52 (in Russian)
- Borodkina D.A., Gruzdeva O.V., Kvitkova L.V., Barbarash O.L. Body fat distribution: the answer to the apparent paradox of obesity in cardiology? Ozhirenie i metabolizm. 2017; 14(2): 3-8. https://doi.org/10.14341/OMET201723-8 (in Russian)
- WHO. The challenge of obesity in the WHO European Region and the strategies for response. Available at: https://www.euro.who.int/__data/assets/pdf_file/0010/74746/E90711.pdf
- Kalinin R.E., Suchkov I.A., Filippov E.V., Fedotov I.A., eds. Innovative Technologies in Medicine: A Look of a Young Specialist. Materials of the IV All-Russian Scientific Conference of Young Specialists, Graduate Students, Residents with International Participation [Innovatsionnye tekhnologii v meditsine: vzglyad molodogo spetsialista: Materialy IV Vserossiyskoy nauchnoy konferentsii molodykh spetsialistov, aspirantov, ordinatorov s Mezhdunarodnym uchastiem]. Ryazan’; 2018: 93-5. (in Russian)
- Kuchma V.R., Sokolova S.B. Basic trends in behavioral health risks. Analiz riska zdorov’yu. 2019; (2): 4-13. https://doi.org/10.21668/health.risk/2019.2.01 (in Russian)
- Yakunova E.M., Sazonova O.V., Borodina L.M., Galitskaya A.V. Correlation of basal metabolism at various ways of its determination. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk. 2015; 17(5): 439-42. (in Russian)
- Bogomolova E.S., Kuzmichev Yu.G., Olyushina E.A., Polyashova A.S., Kotova N.V., Badeeva T.V., et al. Influence of sociohygienic factors on the shaping of the nutritional status in children and teenagers. Gigiena i sanitariya. 2016; 95(9): 847-53. https://doi.org/10.18821/0016-9900-2016-95-9-847-853 (in Russian)
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