Navigating Childhood Health: Unraveling the Tapestry of Anthropometric Indicators and Musculoskeletal Fitness in Elementary School Boys

Farjana Akter Boby
Department of Physical Education & Sports Science, Jashore University of Science and Technology, Jashore, Bangladesh
Subrina Sultana Shara
Lecturer, Department Physical Education, Sports, and Health Science, Rajuk Uttara Model College, Dhaka, Bangladesh

Publicado 30-12-2023

Palabras clave

  • Indicador antropométrico,
  • Aptitud física,
  • Aptitud musculoesquelética,
  • IMC

Cómo citar

Akter Boby, F., & Shara, S. S. (2023). Navigating Childhood Health: Unraveling the Tapestry of Anthropometric Indicators and Musculoskeletal Fitness in Elementary School Boys. La Revista Internacional De Cineantropometría, 3(2), 9–16. https://doi.org/10.34256/ijk2332

Dimensions

Resumen

Introducción: La infancia es la base fundamental que da forma a la salud y el bienestar futuros, y el sistema musculoesquelético desempeña un papel fundamental en el desarrollo físico general. Este estudio investigó la intrincada relación entre los indicadores antropométricos y la aptitud musculoesquelética entre niños de 9 a 12 años, iluminando los matices de esta fase crucial del desarrollo. Métodos: Una cohorte de 100 niños de Wheaton International Schools se sometió a mediciones antropométricas integrales, que abarcaron altura, peso, IMC, circunferencia de la cintura, porcentaje de grasa corporal y evaluaciones de pliegues cutáneos. Su aptitud musculoesquelética se evaluó mediante diversas pruebas de aptitud física, incluidas Sit and Reach, Push-Up, Standing Long Jump y Shuttle Run. Se utilizaron estadísticas descriptivas para presentar los valores medios y las desviaciones estándar de los indicadores antropométricos recopilados, proporcionando información sobre los atributos físicos y la composición corporal de los niños. Posteriormente, se realizó un análisis de correlación entre estos indicadores antropométricos y las pruebas de aptitud física para comprender sus relaciones. Resultados: La edad mostró relaciones inversas con la flexibilidad y la agilidad, mientras que la altura surgió como un factor de influencia predominante en todas las pruebas físicas. El IMC mostró impactos multifacéticos en varios aspectos de las capacidades físicas, arrojando luz sobre sus posibles implicaciones para la salud musculoesquelética. La discusión extrapola estas correlaciones, aclarando los cambios relacionados con la edad durante la adolescencia, la profunda influencia de la altura en el rendimiento físico general y las intrincadas asociaciones entre las métricas de composición corporal y las habilidades físicas específicas. Estos conocimientos fomentan una comprensión más profunda de la salud infantil y allanan el camino para intervenciones específicas en programas de acondicionamiento físico para jóvenes. Conclusión: Las revelaciones de este estudio subrayan la importancia de los marcadores antropométricos en la evaluación de la aptitud musculoesquelética entre niños de escuela primaria, ofreciendo información valiosa sobre la interacción entre los atributos físicos y las capacidades funcionales. Estos hallazgos sientan las bases para estrategias informadas destinadas a fomentar una salud musculoesquelética óptima en los años de formación, configurando así futuros más saludables para la próxima generación.

Citas

  1. Ajisafe, T., Garcia, T., Fanchiang, H.-C. (2018). Musculoskeletal Fitness Measures Are Not Created Equal: An Assessment of School Children in Corpus Christi, Texas. Frontiers in Public Health, 6: 142. https://doi.org/10.3389/fpubh.2018.00142
  2. Albaladejo-Saura, M., Vaquero-Cristóbal, R., García-Roca, J.A., Esparza-Ros, F. (2022). Influence of biological maturation status on selected anthropometric and physical fitness variables in adolescent male volleyball players. Peer Journal, 10: e13216. https://doi.org/10.7717/peerj.13216
  3. Beckmann, C., Aldakak, L., Eppenberger, P., Rühli, F., Staub, K., Bender, N. (2019). Body height and waist circumference of young Swiss men as assessed by 3D laser-based photonic scans and by manual anthropometric measurements. Peer Journal, 7: e8095. https://doi.org/10.7717/peerj.8095
  4. Benjaminse, A. (2022). Foundation of Move Healthy: Athletic skill development in children from a motor learning perspective. European Journal of Public Health, 32(2): https://doi.org/10.1093/eurpub/ckac094.064
  5. Bim, M.A., Pinto, A. de A., Gonzaga, I., De Marco, J.C.P., De Angelo, H.C.C., Claumann, G.S., Pelegrini, A. (2022). Agreement and validity between body fat estimated by skinfold measurement and air displacement plethysmography in adolescents. Journal of Physical Education, 34(1): e-3403. https://doi.org/10.4025/jphyseduc.v34i1.3403
  6. Boylan, M., Feng, D., Chyu, M., Chin, Y., Esperat, C. (2009). Waist Circumference and Waist-to-Height Ratio Are More Highly Correlated to Body Mass Index than to Percentage Body Fat in Young Children. Journal of the American Dietetic Association, 109(9): A38. https://doi.org/10.1016/j.jada.2009.06.116
  7. Bracker, M.D., Achar, S.A., May, T.J., Buller, J.C., Wooten, W.J. (2006). Musculoskeletal Problems of Children. Taylor’s Musculoskeletal Problems and Injuries a Handbook, Springer, New York. 147–179. https://doi.org/10.1007/978-0-387-38322-4_7
  8. Čech, P., Ružbarský, P. (2020). Relationships between physical activity, motor performance and body composition in school-age children. Proceedings of the 12th International Conference on Kinanthropology, 218–225. https://doi.org/10.5817/CZ.MUNI.P210-9631-2020-28
  9. Chwałczyńska, A., Jędrzejewski, G., Lewandowski, Z., Jonak, W., Sobiech, K. A. (2017). Physical fitness of secondary school adolescents in relation to the body weight and the body composition: Classification according to Bioelectrical Impedance Analysis. Part II. The Journal of Sports Medicine and Physical Fitness, 57(3): https://doi.org/10.23736/S0022-4707.17.07441-2
  10. Clark, N.C., Pethick, J., Falla, D. (2023). Measuring complexity of muscle force control: Theoretical principles and clinical relevance in musculoskeletal research and practice. Musculoskeletal Science and Practice, 64: 102725. https://doi.org/10.1016/j.msksp.2023.102725
  11. Dib, L., Arabi, A., Maalouf, J., Nabulsi, M., El-Hajj Fuleihan, G. (2005). Impact of anthropometric, lifestyle, and body composition variables on ultrasound measurements in school children. Bone, 36(4): 736–742. https://doi.org/10.1016/j.bone.2005.01.009
  12. Djaafar, T., Hadisaputro, S., Widjanarko, B., Gde Dalam Pemayun, T., Susanto, H., Rahayu, T., Soegiyanto, K. (2019). The Effects of Physical Fitness Gymnastics (Skj) 2012 towards Body Mass Index, Body Fat Percentage, and Physical Fitness in Obese Children. International Journal of Pharmaceutical Research, 11(2): https://doi.org/10.31838/ijpr/2019.11.02.043
  13. Estrada, F.M.C., Castillo, M.Á.N., Vega, J.A.S., Sotelo, P.T., Murúa, A. H. (2018). Physical Fitness and Body Shape (Physical Shape). Weight Loss. https://doi.org/10.5772/intechopen.76314
  14. Gambert, S.R. (2010). Be Fit For Life: A Guide To Successful Aging: A Wellness, Weight Management, and Fitness Program You Can Live With. World Scientific. 232. https://doi.org/10.1142/7284
  15. Gong, C.H., Kendig, H., Silverstein M. (2015). The Influence of Childhood Health and Early Life Experience on Adult Health and Wellbeing: Evidence from China. The Gerontologist, 55(2): 520–521. https://doi.org/10.1093/geront/gnv239.05
  16. Greene, L., Adeyanju, M. (1991). Exercise and Fitness Guidelines for Elementary and Middle School Children. The Elementary School Journal, 91(5): 437–444. https://doi.org/10.1086/461666
  17. Hasson, R.E. (2017). Addressing Racial/Ethnic Differences in Age-Related Declines in Physical Activity during Adolescence. Journal of Adolescent Health, 61(5): 539–540. https://doi.org/10.1016/j.jadohealth.2017.08.019
  18. He, H., Xiong, K., Li, C. (2015). Relationship between Anthropometric Measurements, Body Composition, and Types of Growth Development in Children and Adolescents. Medicine & Science in Sports & Exercise, 47(5S): 35. https://doi.org/10.1249/01.mss.0000476492.07720.c8
  19. Indraswari, S.H., Rahfiludin, M.Z., Rosidi, A. (2022). Correlation between nutritional adequacy, Fe content, body fat percentage, and muscle mass percentage with physical fitness. Jurnal Keolahragaan, 10(1): 21–30. http://dx.doi.org/10.21831/jk.v10i1.46001
  20. Kambayashi, I. (2021). Development of educational programs through comprehensive learning aimed at improving the health and physical fitness of elementary school students. Impact, 2021(2); 50–52. https://doi.org/10.21820/23987073.2021.2.50
  21. Kerkez, F. I., Tutal, V., Akcinar, F. (2013). The relationship of physical activitiy levels with the body mass index and the body fat percentage according to different age groups and genders among the Turkish children. International Journal of Academic Research, 5(6A): 17-22.
  22. Leppik, A., Jürimäe, T., Jürimäe, J. (2004). Reproducibility of anthropometric measurements in children: A longitudinal study. Anthropologischer Anzeiger, 62(1): 79–91. https://doi.org/10.1127/anthranz/62/2004/79
  23. Manning, M. (2017). Addressing Developmental Challenges to Improve the Wellbeing of Children. Health and Wellbeing in Childhood Cambridge University Press.
  24. Marković, Z., Kopas-Vukasinovic, E. (2015). Organization of Physical Activities as a Precondition of Quality Development of Motor Abilities of Pre-School and School Children. Practice and Theory in Systems of Education, 10(3): 310–322.
  25. Megawati, E.R., Lubis, L.D., Meutia, N. (2019). Correlation of Anthropometric Indicators and Musculoskeletal Fitness in Elementary School Aged Children. EuroMediterranean Biomedical Journal, 14: 176–179.
  26. Milanese, C., Sandri, M., Cavedon, V., Zancanaro, C. (2020). The role of age, sex, anthropometry, and body composition as determinants of physical fitness in nonobese children aged 6–12. Peer Journal, 8: e8657. https://doi.org/10.7717/peerj.8657
  27. Nikolaïdis, P. (2012). Physical fitness is inversely related with body mass index and body fat percentage in soccer players aged 16-18 years. Medicinski Pregled, 65(11–12): 470–475. https://doi.org/10.2298/MPNS1212470N
  28. Nikolaidis, P.T. (2012). Elevated Body Mass Index and Body Fat Percentage Are Associated with Decreased Physical Fitness in Soccer Players Aged 12–14 Years. Asian Journal of Sports Medicine, 3(3): e93506. https://doi.org/10.5812/asjsm.34687
  29. Onukwuli, V., Ikefuna, A., Nwokocha, A., Emodi, I., & Eke, C. (2017). Relationship between zinc levels and anthropometric indices among school-aged female children with sickle cell anemia in enugu, Nigeria. Nigerian Journal of Clinical Practice, 20(11): 1461. https://doi.org/10.4103/njcp.njcp_104_17
  30. Rippe, J.M. (Ed.). (2011). Encyclopedia of lifestyle medicine and health. Sage Publications.
  31. Santibáñez Cárcamo, C., Silva Gómez, R. (2023). Factors associated with the development of malnutrition due to excess in children. Nutrición Hospitalaria. https://doi.org/10.20960/nh.04861
  32. Suliga, E. (2002). Assessment of the physical development and physical fitness of children and youths with simple body height deficiency. Anthropologischer Anzeiger, 60(2): 209–219. https://doi.org/10.1127/anthranz/60/2002/209
  33. Theologis, T. (2011). Musculoskeletal injuries in children. Oxford University Press. https://doi.org/10.1093/med/9780199550647.003.014001
  34. Vitali, F., Robazza, C., Bortoli, L., Bertinato, L., Schena, F., Lanza, M. (2019). Enhancing fitness, enjoyment, and physical self-efficacy in primary school children: A DEDIPAC naturalistic study. Peer Journal, 7: e6436. https://doi.org/10.7717/peerj.6436
  35. Weststrate, J.A., Deurenberg, P. (1989). Body composition in children: Proposal for a method for calculating body fat percentage from total body density or skinfold-thickness measurements. The American Journal of Clinical Nutrition, 50(5): 1104–1115. https://doi.org/10.1093/ajcn/50.5.1104
  36. Zadarko-Domaradzka, M., Sobolewski, M., Zadarko, E. (2023). Comparison of Several Anthropometric Indices Related to Body Fat in Predicting Cardiorespiratory Fitness in School-Aged Children—A Single-Center Cross-Sectional Study. Journal of Clinical Medicine, 12(19): 6226. https://doi.org/10.3390/jcm12196226