
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
ORIGINAL RESEARCH
Feature of bioelectrical impedance analysis and electromyography data in children with cerebral palsy
Research Institute of Children's Balneology, Physiotherapy and Medical Rehabilitation, Yevpatoria, Russia
Correspondence should be addressed: Gleb V. Lyovin
Mayakovsky, 6, Yevpatoria, 297412, Russia; moc.liamg@2002vgnivel
Author contribution: Vlasenko SV — study concept, developing methods, experimental data analysis and systematization, interpretation of the results; Lyovin GV — data acquisition, systematization, and accumulation, statistical processing, manuscript writing and formatting; Osmanov EA — comparative analysis of data, synthesis of the results, drawing conclusions, manuscript editing, dealing with graphics.
Compliance with ethical standards: the study was approved by the Ethics Committee of the cientific Research Institute of Children's Balneology, Physiotherapy and Medical Rehabilitation (protocol No. 21 dated 14 December 2022). All the patients submitted the informed consent to participation in the study.
- McIntyre S, Goldsmith S, Webb A, Ehlinger V, Hollung SJ, McConnell, et al. Global CP Prevalence Group. Global prevalence of cerebral palsy: A systematic analysis. Developmental medicine and child neurology. 2022; 64 (12): 1494–506. Available from: https://doi.org/10.1111/dmcn.15346.
- Novak I, Morgan C, Fahey M, Finch-Edmondson M, Galea C, Hines, et al. State of the Evidence Traffic Lights 2019: Systematic Review of Interventions for Preventing and Treating Children with Cerebral Palsy. Current neurology and neuroscience reports. 2020; 20 (2): 3. Available from: https://doi.org/10.1007/s11910-020-1022-z.
- Patel DR, Neelakantan M, Pandher K, Merrick J. Cerebral palsy in children: a clinical overview. Translational pediatrics. 2020; 9 (Suppl 1): S125–S135. Available from: https://doi.org/10.21037/tp.2020.01.01.
- Panda S, Singh A, Kato H, Kokhanov A. Cerebral Palsy: A Current Perspective. NeoReviews. 2024; 25 (6): e350–e360. Available from: https://doi.org/10.1542/neo.25-6-e350.
- Jesus AO, Stevenson RD. Optimizing Nutrition and Bone Health in Children with Cerebral Palsy. Physical medicine and rehabilitation clinics of North America. 2020; 31 (1): 25–37. Available from: https://doi.org/10.1016/j.pmr.2019.08.001.
- Metshein M, Tuulik VR, Tuulik V, Kumm M, Min M, Annus P. Electrical Bioimpedance Analysis for Evaluating the Effect of Pelotherapy on the Human Skin: Methodology and Experiments. Sensors (Basel, Switzerland). 2023; 23 (9): 4251. Available from: https://doi.org/10.3390/s23094251.
- Arruda RCBF, Tassitano RM, da Silva Brito AL, de Sousa Martins OS, Cabral PC, de Castro Antunes MM. Physical activity, sedentary time and nutritional status in Brazilian children with cerebral palsy. Jornal de pediatria. 2022; 98 (3): 303–9. Available from: https://doi.org/10.1016/j.jped.2021.07.005.
- Costa A, Martin A, Arreola V, Riera SA, Pizarro A, Carol, et al. Assessment of Swallowing Disorders, Nutritional and Hydration Status, and Oral Hygiene in Students with Severe Neurological Disabilities Including Cerebral Palsy. Nutrients. 2021; 13 (7): 2413. Available from: https://doi.org/10.3390/nu13072413.
- Savikangas T, Valadão P, Haapala EA, Finni T. Effects of multicomponent exercise intervention on cardiometabolic risk factors in children and young adults with cerebral palsy: a multiple-baseline trial. BMC sports science, medicine & rehabilitation. 2024; 16 (1): 219. Available from: https://doi.org/10.1186/s13102-024-01006-0.
- Więch P, Ćwirlej-Sozańska A, Wiśniowska-Szurlej A, Kilian J, Lenart-Domka E, Bejer A, et al. The Relationship Between Body Composition and Muscle Tone in Children with Cerebral Palsy: A Case-Control Study. Nutrients. 2020; 12 (3): 864. Available from: https://doi.org/10.3390/nu12030864.
- Talma H, Chinapaw MJ, Bakker B, HiraSing RA, Terwee CB, Altenburg TM. Bioelectrical impedance analysis to estimate body composition in children and adolescents: a systematic review and evidence appraisal of validity, responsiveness, reliability and measurement error. Obesity reviews: an official journal of the International Association for the Study of Obesity. 2013; 14 (11): 895–905. Available from: https://doi.org/10.1111/obr.12061.
- Snik DAC, de Roos NM. Criterion validity of assessment methods to estimate body composition in children with cerebral palsy: A systematic review. Annals of physical and rehabilitation medicine. 2021; 64 (3): 101271. Available from: https://doi.org/10.1016/j.rehab.2019.05.003
- Jiang F, Tang S, Eom JJ, Song KH, Kim H, Chung S, et al. Accuracy of Estimated Bioimpedance Parameters with Octapolar Segmental Bioimpedance Analysis. Sensors (Basel, Switzerland). 2022; 22 (7): 2681. Available from: https://doi.org/10.3390/s22072681.
- Szkoda L, Szopa A, Kwiecień-Czerwieniec I, Siwiec A, DomagalskaSzopa M. Body Composition in Outpatient Children with Cerebral Palsy: A Case-Control Study. International journal of general medicine. 2023; 16: 281–91. Available from: https://doi.org/10.2147/IJGM.S393484.
- Jahan I, Sultana R, Muhit M, Akbar D, Karim T, Al Imam MH, et al. Nutrition Interventions for Children with Cerebral Palsy in Low- and Middle-Income Countries: A Scoping Review. Nutrients. 2022; 14 (6): 1211. Available from: https://doi.org/10.3390/nu14061211.
- Sørensen SJ, Brekke G, Kok K, Sørensen JL, Born AP, Mølgaard C, et al. Nutritional screening of children and adolescents with cerebral palsy: a scoping review. Developmental medicine and child neurology. 2021; 63 (12): 1374–81. Available from: https://doi.org/10.1111/dmcn.14981.
- Friedman JM, van Essen P, van Karnebeek CDM. Cerebral palsy and related neuromotor disorders: Overview of genetic and genomic studies. Molecular genetics and metabolism. 2022; 137 (4): 399– 419. Available from: https://doi.org/10.1016/j.ymgme.2021.11.001.
- Alcan V, Zinnuroğlu M. Current developments in surface electromyography. Turkish journal of medical sciences. 2023; 53 (5): 1019–31. Available from: https://doi.org/10.55730/1300-0144.5667.
- Murakami Y, Honaga K, Kono H, Haruyama K, Yamaguchi T, Tani M, et al. New Artificial Intelligence-Integrated Electromyography-Driven Robot Hand for Upper Extremity Rehabilitation of Patients With Stroke: A Randomized, Controlled Trial. Neurorehabilitation and neural repair. 2023; 37 (5): 298–306. Available from: https://doi.org/10.1177/15459683231166939.
- Yamaguchi S, Inami T, Ishida H, Nagata N, Murayama M, Morito A, et al. Bioimpedance analysis for identifying new indicators of exercise-induced muscle damage. Scientific reports. 2024; 14 (1): 15299. Available from: https://doi.org/10.1038/s41598-024-66089-8.
- Ward LC, Brantlov S. Bioimpedance basics and phase angle fundamentals. Reviews in endocrine & metabolic disorders. 2023; 24 (3): 381–91. Available from: https://doi.org/10.1007/s11154-02209780-3.
- Uemura K, Doi T, Tsutsumimoto K, Nakakubo S, Kim MJ, Kurita S, et al. Predictivity of bioimpedance phase angle for incident disability in older adults. Journal of cachexia, sarcopenia and muscle. 2020; 11 (1): 46–54. Available from: https://doi.org/10.1002/jcsm.12492.
- Mehra A, Starkoff BE, Nickerson BS. The evolution of bioimpedance analysis: From traditional methods to wearable technology. Nutrition. 2024; 129: 112601. Available from: https://doi.org/10.1016/j.nut.2024.112601.
- Sung WJ, Kim WJ, Hwang Y, Kim JS, Lim SH, Hong BY. Body composition of school-aged children with disabilities. Pediatrics international: official journal of the Japan Pediatric Society. 2020; 62 (8): 962–9. Available from: https://doi.org/10.1111/ped.14248.
- Du J, Yu H, Shi P, Fang F. High Precision Portable Bioimpedance Spectrometer for Enhanced Clinical Diagnostics. 2024; 794–9. Available from: https://doi.org/10.1109/icma61710.2024.10633039.
- Akamatsu Y, Kusakabe T, Arai H, Yamamoto Y, Nakao K, Ikeue K, et al. Phase angle from bioelectrical impedance analysis is a useful indicator of muscle quality. Journal of cachexia, sarcopenia and muscle. 2022; 13 (1): 180–9. Available from: https://doi.org/10.1002/jcsm.12860.
- Di Vincenzo O, Marra M, Di Gregorio A, Pasanisi F, Scalfi L. Bioelectrical impedance analysis (BIA) -derived phase angle in sarcopenia: A systematic review. Clinical nutrition. 2021; 40 (5): 3052–61. Available from: https://doi.org/10.1016/j.clnu.2020.10.048.
- Wu H, Ding P, Wu J, Yang P, Tian Y, Zhao Q. Phase angle derived from bioelectrical impedance analysis as a marker for predicting sarcopenia. Frontiers in nutrition. 2022; 9: 1060224. Available from: https://doi.org/10.3389/fnut.2022.1060224.
- Jaleel A, Chilumula M, Chukkala Satya SG, Singnale P, Telikicherla UR, Pandurangi R. The Assessment of Nutritional Status of Adolescents Aged 15-18 Years Using BMI Cutoffs and BMI Z Scores: A Secondary Analysis of National Family Health Survey-5 (2019-21) Data. Cureus. 2024; 16 (5): e59800. Available from: https://doi.org/10.7759/cureus.59800.
- Calcaterra V, Pelizzo G, Cena H. BMI Is a Poor Predictor of Nutritional Status in Disabled Children. What Is the Most Recommended Method for Body Composition Assessment in This Pediatric Population, Frontiers in pediatrics. 2019; 7, 226. Available from: https://doi.org/10.3389/fped.2019.00226.