Concordância entre a análise de bioimpedância elétrica e as equações preditivas para avaliar a taxa metabólica basal em crianças palestinianas dos 6 aos 9 anos de idade

Autores

DOI:

https://doi.org/10.47197/retos.v78.118732

Palavras-chave:

Análise de impedância bioelétrica, meninos, massa isenta de gordura, taxa metabólica basal, Palestina, equações preditivas

Resumo

Introdução: A taxa metabólica basal (TMB) é a maior componente do gasto energético diário e é essencial para a manutenção do equilíbrio energético durante o crescimento infantil.

Objectivo: Este estudo avaliou a concordância entre a análise de impedância bioeléctrica (BIA) e equações preditivas comuns para estimar a TMB em crianças palestinianas dos 6 aos 9 anos de idade e teve como objectivo desenvolver uma equação específica para a população, baseada na massa livre de gordura (MLG).

Metodologia: Foram selecionadas aleatoriamente 1.100 crianças em 11 províncias da Cisjordânia. Foram realizadas medições antropométricas e de TMB, e as estimativas obtidas através de equações preditivas foram comparadas com os valores obtidos pela BIA.

Resultados: A TMB média foi de 1117,65 kcal/dia. A equação da OMS (1985) apresentou a maior concordância com a BIA. A massa livre de gordura (MLG) foi um forte preditor independente da taxa metabólica de repouso (TMR), resultando na seguinte equação:

TMR (kcal/dia) = 376.015 + (34.120 × MLG) (R² = 0,88).

Discussão: Os valores de crescimento e TMR estavam dentro do intervalo normal, embora as diferenças em relação aos padrões internacionais provavelmente reflitam fatores genéticos, nutricionais, socioeconómicos, climáticos e de atividade física.

Conclusão: A equação baseada na MLG oferece uma ferramenta prática para monitorizar o crescimento, orientar a nutrição e elaborar programas de atividade física para prevenir a obesidade e doenças relacionadas em crianças palestinianas.

Biografias do Autor

  • Abdelnaser A. Qadumi, An-Najah National University, Nablus, Palestine

    Prof. Dr. Abdelnaser Abdelrahim Mohammed Qudumi

    Professor of Exercise Physiology, Measurement, and Statistics Department of Sport Sciences – Faculty of Humane Sciences An-Najah National University, Nablus, Palestine Professor since 2007.

    https://www.researchgate.net/profile/Abdelnaser-Qadumi?ev=hdr_xprf

    Email: aqadumi@najah.edu.

    Professor Qudumi earned his bachelor’s and master’s degrees from the University of Jordan, graduating first in rank in both degrees, and obtained his PhD in Sport Sciences from the Romanian Academy of Physical Education and Sports (ANEFS). With more than three decades of academic and administrative experience, Professor Qudumi has successfully combined scientific excellence with university leadership and educational policy development. Professor Qudumi has held numerous senior leadership positions, most notably serving as President of Al-Istiqlal University in Jericho (2014–2018) and Vice President for Academic Affairs. At An-Najah National University, he served as Dean of the Faculty of Physical Education, Director of the Measurement and Evaluation Center, and Head of the Department of Physical Education. At the national level, he played a pivotal role as Head of the National Team for Physical Education Curriculum Development in Palestine, and as a member of the Palestinian Higher Education Council, the Council for Innovation and Excellence (appointed by Presidential Decree), as well as national Quality Assurance and Accreditation bodies. Academically, Professor Qudumi is recognized as one of the leading scholars in his field. He has published more than 150 peer-reviewed scientific research papers in reputable international and regional journals and has supervised over 200 master’s theses and doctoral dissertations. He has also contributed significantly to academic advancement by participating in the promotion of 57 faculty members to the ranks of Associate Professor and Full Professor, both locally and across the Arab world. In addition, Professor Qudumi has led and participated in more than 40 scientific conferences, serving as head of preparatory committees, chair or member of scientific committees, keynote speaker, presenter, researcher, and has headed several official academic delegations. His editorial contributions include serving as Editor-in-Chief of the Al-Istiqlal University Journal for Research and Studies and as a member of the editorial boards of indexed academic journals, including the An-Najah Research Journal for Humanities (Scopus-indexed).In recognition of his outstanding academic and scientific contributions, Professor Qudumi has received several prestigious national and Arab awards, most notably the Abdul Hameed Shoman Award for Young Arab Scientists, the Sheikh Nasser Bin Hamad Al Khalifa Award for Scientific Research in Sports Management at the Arab World level, and the Certificate and Medal of Scientific Excellence. Professor Dr. Abdelnaser Qudumi represents a distinguished model of an academic leader whose contributions have had a lasting impact on higher education development, scientific research, and institutional capacity building in Palestine and the Arab region.Bottom of Form

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  • Sulaiman H. Amad, An-Najah National University
    Assistant Professor of Sports Sciences at An-Najah University and Sports Facilities Coordinator, PhD in Sports Performance Analysis (Spain, 2021). Head of PFA North Branch, municipal council member, researcher, and community sports leader promoting sport as a national culture.
  • Qais M. Nairat, An-Najah National University

    Specialist in Physical Rehabilitation and author of numerous scientific publications in the fields of sports injuries, rehabilitation sciences, and health, published in peer-reviewed journals with recognized impact factors.

    He earned his degree from the Faculty of Sports Medicine and Physical Rehabilitation at National University of Ukraine on Physical Education and Sport.

    Former Head of the Department of Physical Education and former member of the Sports Medicine Federation.

  • Rawand K. Qutob, An-Najah National University
    Assistant Professor and Head of the Sports Sciences Department at An-Najah University, PhD in School Sports (Spain, 2021). Researcher and community activists engaged in conferences, seminars, and women’s and school sports initiatives.
  • Mohammad A. Qadoumi, An-Najah National University

    Mohammad Qadoumi, master’s degree in motor control and research in biomechanic, Paris Sud- 11 University in France since in 2010. I have been working at An-Najah National University as a lecturer in Kinesiology and Biomechanics in the Department of Sports Sciences since 2010, and I have published at least 20 scientific papers in various fields to date.

  • Ali A. Qadoume, Palestine Technical University – Kadoorie

    O Dr. Qadoume é professor de Medição, Avaliação e Estatística para todos os níveis acadêmicos na Faculdade de Ciências do Esporte.

    Ele publicou mais de 20 artigos científicos revisados por pares em periódicos internacionais especializados.

  • Monther A. Nasrallah, Al-Istiqlal University

    Head of Department and Lecturer of Sports Training at Al-Istiqlal University, Associate Professor who taught many courses at the Master programmer, and served as Dean of Student Affairs at the university for 7 years.

Referências

Acar-Tek, N., Ağagündüz, D., Şahin, T. Ö., Baygut, H., Uzunlar, E. A., Küçükkaraca Zakkour, H., & Karaçallı, A. (2023). Validation of predictive equations for resting energy expenditure in children and adolescents with different body mass indexes. Nutrition Journal, 22(39). https://doi.org/10.1186/s12937-023-00868-3

Aguirre CA, GDC Salazar, DV Lopez de Romaña, JA Kain, CL Corvalán & RE Uauy.(2014). Evaluation of simple body composition methods: assessment of validity in pre-pubertal Chilean children. European Journal of Clinical Nutrition,69, 269-273. DOI: 10.1038/ejcn.2014.144

Al Alwan I, Felimban N, Altwaijri Y, Tamim H, Al Mutair A, Shoukri M, Tamimi W.(2010). Puberty onset among boys in Riyadh, Saudi Arabia. Clin Med Insights Pediatr. 8; 4:19-24. doi: 10.4137/cmped. s4610

Albertsson Wikland K, Luo ZC, Niklasson A, Karlberg J. (2002). Swedish population-based longitudinal reference values from birth to 18 years of age for height, weight and head circumference. Acta Pediatric; 91: 739–754. Stockholm. DOI: 10.1080/08035250213216

Al-Hazzaa HM. (2007). Prevalence and trend in obesity among schoolchildren in Central Saudi Arabia between 1988 and 2005. Saudi Med J. 28:1569-1574. PMID: 17914521

Anne D, Lawrence, Samia A, Yoeju M, Izzeldin H, Hamed AL O, Daniel D & Kebreab G. (2018). Physical fitness characteristics of Omani primary school children according to body mass index. The Journal of Sports Medicine and Physical Fitness, 1-24. DOI: 10.23736/S0022-4707.18.08136-7.

Arciero. P. Goran. M, Poehlman. (1993). Resting metabolic rate is lower in women compared to men, Journal of Applied Physiology, 75, 2514-2520. DOI: 10.1152/jappl.1993.75.6.2514

Bedogni, G., Bertoli, S., De Amicis, R., Foppiani, A., De Col, A., Tringali, G., Marazzi, N., De Cosmi, V., Agostoni, C., Battezzati, A., & others. (2020). External validation of equations to estimate resting energy expenditure in 2037 children and adolescents with and 389 without obesity: A cross-sectional study. Nutrients, 12(5), 1421. https://doi.org/10.3390/nu12051421

Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet, 327(8476), 307–310. PMID: 2868172.

Charlotte J., Emma L., Samuel W. & Michael J. (2018). Relationships between Motor Competence, Physical Activity, and Obesity in British Preschool Aged-Children, J. Funct. Morphol. Kinesiol. 3, 57; https://doi.org/10.3390/jfmk3040057

Chun, D., Kim, S. J., Kim, Y. H., Suh, J., & Kim, J. (2024). The estimation of pubertal growth spurt parameters using the superimposition by translation and rotation model in Korean children and adolescents: a longitudinal cohort study. Frontiers in Pediatrics, 12, Article 1372013. https://doi.org/10.3389/fped.2024.1372013

Chun, D., Kim, S. J., Suh, J., & Kim, J. (2025). Timing, velocity, and magnitude of pubertal changes in body composition: A longitudinal study. Pediatric Research, 97, 293‑300. https://doi.org/10.1038/s41390-024-03299-w.

Dabas A, Khadgawat R, Gahlot M, Surana V, Mehan N, Ramot R, Pareek A, Sreenivas V & Marwaha RK. (2018). Height velocity in apparently healthy north Indian school children. Indian J Endocr Metab; 22:256-260. doi: 10.4103/ijem.IJEM_638_17

De Cosmi V, Mazzocchi A, Milani GP, Calderini E, Scaglioni S, Bettocchi S, et al. (2020). Prediction of resting energy expenditure in children: May artificial neural networks improve our accuracy? J Clin Med. 9(4):1026. https://doi.org/10.3390/jcm9041026

Delgadillo, Natalie A.; Wyatt, Frank; Olson, Michael W.; and Choi, Soon-Mi (2022) "The Effects of Body Composition on Resting Metabolic Rate among College Aged Students," International Journal of Exercise Science: Conference Proceedings: Vol. 2: Iss. 14, Article 94. Available at: https://digitalcommons.wku.edu/ijesab/vol2/iss14/94

Fernández-Verdejo, R., Sanchez-Delgado, G., & Ravussin, E. (2024). Energy Expenditure in Humans: Principles, Methods, and Changes Throughout the Life Course. Retrieved from https://repository.lsu.edu/ clinical_research_pubs/148. https://doi.org/10.1146/annurev-nutr-062122-031443

Fuentes-Servín, J., Avila-Nava, A., González-Salazar, L. E., Pérez-González, O. A., Servín-Rodas, M. D. C., Serralde-Zuñiga, A. E., Medina-Vera, I., & Guevara-Cruz, M. (2021). Resting energy expenditure prediction equations in the pediatric population: A systematic review. Frontiers in Pediatrics, 9, 795364. https://doi.org/10.3389/fped.2021.795364

Furqan, M &Haqua, A. (2009). Surface area in children: A simple formula. Indian Pediatrics, 46,1085-1087, https://pubmed.ncbi.nlm.nih.gov/19430073/.

García-Guzmán, A. D., Becerra-Morales, S. N., Pinzón-Navarro, B. A., Baldwin-Monroy, D. D., Sampriti-Tarres, M., Velasco-Hidalgo, L., Avila-Nava, A., Cárdenas-Cardos, R. S., Maldonado-Silva, K., Guevara-Cruz, M., & Medina-Vera, I. (2025). Development of a predictive equation for resting energy expenditure in pediatric patients with oncological diagnosis. Frontiers in Nutrition, 12, Article 1656975. https://doi.org/10.3389/fnut.2025.16569

Gitsi, E., Kokkinos, A., Konstantinidou, S. K., Livadas, S., & Argyrakopoulou, G. (2024). The Relationship between Resting Metabolic Rate and Body Composition in People Living with Overweight and Obesity. Journal of Clinical Medicine, 13(19), 5862. https://doi.org/10.3390/jcm13195862

Henry, C. J. K. (2007). Basal metabolic rate studies in humans: Measurement and development of new equations. Public Health Nutrition, 8(7A), 1133–1152. https://doi.org/10.1079/PHN2005801

Huang, L., Guo, Z., Jiang, Z., Xu, Y., & Huang, H. (2025). Resting Metabolic rate in obesity. Postgraduate Medical Journal, 101(1195), 396–410. https://doi.org/10.1093/postmj/qgae153

Iju Shrestha, Hari Sharan Makaju. (2018). Change in height of the individual among selected ethnic groups. Int J Anat Res, 6(1.3):5007-5010. DOI: 10.16965/ijar.2017.537

Institute of Medicine (IOM). (2005). Dietary reference intakes for Energy, Carbohydrate, Fiber, Fat, fatty acids, cholesterol, protein, and amino acids (macronutrients). Washington, D.C.: The National Academies Press. DOI: https://doi.org/10.17226/10490

Jagim, A. R., Jones, M. T., Askow, A. T., Luedke, J., Erickson, J. L., Fields, J. B., & Kerksick, C. M. (2023). Sex differences in resting metabolic rate among athletes and association with body composition parameters: A follow-up investigation. Journal of Functional Morphology and Kinesiology, 8(3), 109. https://doi.org/10.3390/jfmk8030109

Jésus P, Achamrah N, Grigioni S, Charles J, Rimbert A, Folope V, Petit A, Déchelotte P, Coëffier M. (2015). Validity of predictive equations for resting energy expenditure according to the body mass index in a population of 1726 patients followed in a Nutrition Unit. Clin Nutr. 34(3):529-35. DOI: 10.1016/j.clnu.2014.06.009

Kabiri LS, Hernandez DC, Mitchell K. (2015). Reliability, Validity, and Diagnostic Value of a Pediatric Bioelectrical Impedance Analysis Scale. Child Obes;11(5):650-5. DOI: 10.1089/chi.2014.0156

Kim M-H, Kim J-H, Kim E-K. (2012). Accuracy of predictive equations for resting energy expenditure (REE) in non-obese and obese Korean children and adolescents. Nutr Res Pract ;6(1):51–60. DOI: 10.4162/nrp.2012.6.1.51

Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gómez JM, Heitmann BL, Kent-Smith, Melchior JC, Pirlich M, Scharfetter H, Schols AM, Pichard C; (2004). Bioelectrical impedance analysis—part I: review of principles and methods. Clin Nutr. 23(5): 1226-43.DOI: 10.1016/j.clnu.2004.06.004

Lito M Amit & Young-Woong Song. (2018). Formulae evaluation for estimating body surface area of Korean children. J UOEH, 40(1), 19-32. DOI: 10.7888/juoeh.40.19

Madanhire, T., Macdougall, A., Kasonka, L., Mabuda, H. B., Chisenga, M., Mujuru, H., Bandason, T., Dzavakwa, N. V., Simms, V., Ward, K. A., Ferrand, R. A., Mohammed, N., & Gregson, C. L. (2025). Patterns of linear growth among children and adolescents living with HIV on antiretroviral therapy in Zimbabwe and Zambia. BMC Infectious Diseases, 25, 112. DOI: 10.1186/s12879-025-10669-0

Marderfeld, L., Guz Mark, A., Biran, N., & Shamir, R. (2023). Can we rely on resting metabolic rate equations? Large variance in Crohn disease pediatric patients. Journal of Pediatric Gastroenterology & Nutrition, 77(3), 389‑392. https://doi.org/10.1097/MPG.0000000000003878

Nadia M. Gharib, Parveen Rush eed. (2009). Anthropometry and body composition of school children in Bahrain. Ann Saudi Med, 29(4), 258-269. doi: 10.4103/0256-4947.55309

Ohara, K., Nakamura, H., Kouda, K. et al. (2023). Similarities and discrepancies between commercially available bioelectrical impedance analysis system and dual-energy X-ray absorptiometry for body composition assessment in 10–14-year-old children. Sci Rep 13, 17420. https://doi.org/10.1038/s41598-023-44217-0

O'Neill JER, Corish CA, Horner K. (2023). O’Neill, J.E.R., Corish, C.A. & Horner, K. Accuracy of Resting Metabolic Rate Prediction Equations in Athletes: A Systematic Review with Meta-analysis. Sports Med 53, 2373–2398. https://doi.org/10.1007/s40279-023-01896-z

Ortiz-Marrón H, Cabañas Pujadas G, Ortiz-Pinto MA, Martín García A, Matesanz Martínez C, Antonaya Martín MDC, Cortés Rico O, Galán I. (2023). Changes in general and abdominal obesity in children at 4, 6 and 9 years of age and their association with other cardiometabolic risk factors. Eur J Pediatr ;182(3):1329-1340. doi: 10.1007/s00431-022-04802-3

Owen OE, Kavle E, Owen RS, Polansky M, Caprio S, Mozzoli MA, et al. (1986). A reappraisal of caloric requirements in healthy women. Am J Clin Nutr;44(1):1–19. DOI: 10.1093/ajcn/44.1.1

Prado-Nóvoa, O., Howard, K. R., Laskaridou, E., Reid, G. R., Zorrilla-Revilla, G., Marinik, E. L., … & Davy, K. P. (2024). Validation of predictive equations to estimate resting metabolic rate of females and males across different activity levels. American Journal of Human Biology, 36(4), e24005. https://doi.org/10.1002/ajhb.24005

Pretorius, A., Wood, P. S., Becker, P. J., & Wenhold, F. A. M. (2025). Low variability of resting metabolic rate among early, middle, and late achievers of steady state suggests a shortened indirect calorimetry protocol for young children. Nutrition, 136, 112779. https://doi.org/10.1016/j.nut.2025.112779

Rexhepi, A., & Brestovci, B. (2020). Differences in growth and development velocity between boys and girls from Kosovo, aged 6–18 years. International Journal of Medical and Surgical Sciences, 7(1), Article 472. https://doi.org/10.32457/ijmss.v7i1.472

Rogol, A.D., Roemmich, J.N. & Clark, P.A., (2002). Growth at puberty. Journal of adolescent health, 31(6),192-200.DOI: 10.1016/s1054-139x(02)00485-8

Rush EC, Scragg R, Schaaf D, Jovanovich G & Plank LD/ (2008). Indices of fatness and relationships with age, ethnicity and lipids in New Zealand European, Maori and Pacific children. European Journal of Clinical Nutrition, 63, 627-633. DOI: 10.1038/ejcn.2008.15

Sampriti Debnath, Nitish Mondal, & Jaydip Sen. (2018). Percent of body fat, fat-mass, fat-free mass and assessment of body composition among rural school-going children of Eastern-India, Anthropological Review, 81(2), 158-173. DOI:10.2478/anre-2018-0011.

Schofield WN. (1985). Predicting resting metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985; 39:5–41. PMID: 4044297.

Shin, J., Kang, I., & Lee, M. (2024). Risk factors related to resting metabolic rate-related DNAJC6 gene variation in children with overweight/obesity: 3-year panel study. Nutrients, 16(24), 4423. https://doi.org/10.3390/nu16244423

Sovio U, Bennett AJ, Millwood IY, Molitor J, O’Reilly PF, et al. (2009) Genetic determinants of height growth assessed longitudinally from infancy to adulthood in the Northern Finland birth cohort 1966. PLoS Genet, 5(3): e1000409 DOI: 10.1371/journal.pgen.1000409 .

Sparti A, DeLany JP, de la Bretonne JA, Sander GE, Bray GA. (1997). Relationship between resting metabolic rate and the composition of the fat-free mass. Metabolism.;46(10):1225-30. DOI: 10.1016/s0026-0495(97)90222-5

Speakman, J. R., & Selman, C. (2007). Physical activity and resting metabolic rate. Proceedings of the Nutrition Society, 62(3), 621–634. https://doi.org/10.1079/PNS2003282

Tanaka T, Suwa S, Yokoya S, Hibi I. (1988). Analysis of linear growth during puberty. Acta Paediatr Scand; 347:25-29. PMID: 3254033.

Tanner JM, Davies PS. (1985). Clinical longitudinal standards for height and height velocity for North American children, J Pediatr, 107:317-329. DOI: 10.1016/s0022-3476(85)80501-1 .

Thakur R and Gautam RK. (2016). Differential metabolic rates among the school going boys of a Central Indian Town (Sagar). Human Biology Review, 5 (2), 146 -160.

Tian-Shing Lee,Ting Chao, Ren-Bin Tang, Chia-Chang Hsieh, Shu-Jen Chen &Low-Tone Ho. (2004). A longitudinal study of growth patterns in school children in Taipei area I: growth curve and height velocity curve. Journal of the Chinese Medical Association. 67(2),67-72. PMID: 15146901.

Trudy MA Wijnhoven, Joop MA van Raaij, Angela Spinelli, GrIjur Starc, Maria Hassapidou, Igor Spiroski, Harry Rutter, Éva Martos, Ana I Rito, Ragnhild Hovengen, Napoleón Pérez-Farinós & Ausra Petrauskiene.(2014), WHO European Childhood Obesity Surveillance Initiative: body mass index and level of overweight among 6–9-year-old children from school year 2007/2008 to school year 2009/2010. BMC Public Health. 7;14:806. DOI:10.1186/1471-2458-14-806

UNICEF. (2025). The State of the World’s Children 2025: Child Nutrition Report. United Nations Children’s Fund. https://www.unicef.org/reports/state-of-worlds-children/2025

Vlasa IM, Pop RM, Vlasa IM, Pașcanu IM. (2026). Changes in Bioelectrical Impedance Analysis and Lipid Profile in Children Diagnosed with Short Stature Who Undergo Growth Hormone Therapy: One Single-Center Experience. Medicina (Kaunas). 20;62(1):209. https://doi.org/10.3390/medicina62010209

Wang Z, Ying Z, Bosy-Westphal A, Zhang J, Heller M, Later W, Heymsfield SB, Müller MJ. (2010). Evaluation of specific metabolic rates of major organs and tissues: comparison between men and women. Am J Hum Biol;23(3):333-8. DOI: 10.1002/ajhb.21137

WHO (World Health Organization). (1985). Energy and protein requirements: Report of a joint. FAO/WHO/UNU expert consultation. WHO Technical Report Series No. 724, 206pp. PMID: 3937340.

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01-05-2026

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Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

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Qadumi, A. A., Amad, S. H., Nairat, Q. M., Qutob, R. K., Qadoumi, M. A., Qadoume, A. A., & Nasrallah, M. A. (2026). Concordância entre a análise de bioimpedância elétrica e as equações preditivas para avaliar a taxa metabólica basal em crianças palestinianas dos 6 aos 9 anos de idade. Retos, 78, 465-477. https://doi.org/10.47197/retos.v78.118732