Mecânica e energia durante a caminhada em esteira em adultos uruguaios saudáveis:
efeito do IMC e Idade.
Resumo
A avaliação da marcha na esteira pode ser relevante para a tomada de decisões clínicas. No entanto, fatores demográficos como idade e IMC podem alterar a interpretação dos resultados. Nosso objetivo foi obter variáveis espaço-temporais, energéticas e custo de transporte durante a velocidade de caminhada autoselecionada na esteira para uma amostra representativa de adultos uruguaios (n = 28) e avaliar se diferentes faixas etárias e IMC podem ser fatores a serem considerados em testes clínicos que envolvam essas variáveis. Dezessete homens e onze mulheres participaram (39,3 ± 14,8 anos, 75,9 ± 12,5 kg, 1,74 ± 0,09 m, IMC 25,2 ± 4,06). Foi realizada uma reconstrução tridimensional do movimento sincronizada com o consumo de energia. Foram obtidos valores de referência e os dados foram comparados usando testes t (p≤0,05), após agrupar os participantes por IMC e faixa etária. Os resultados revelaram discrepâncias significativas nas medidas espaço-temporais e energéticas dos adultos uruguaios ao caminhar na esteira, em comparação com a literatura. A marcha diferiu entre adultos jovens e de meia-idade em sua velocidade autoselecionada (p=0,03), comprimento da passada (p=0,01), trabalho mecânico externo (<0,001) e recuperação de energia mecânica (0,009), destacando a importância de considerar a idade em avaliações clínicas. O IMC não influenciou significativamente essas variáveis. Esses achados destacam a necessidade de ajustar as interpretações dos testes clínicos de marcha na esteira em adultos uruguaios de meia- idade (45 a 65 anos).
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Referências
Perry J. Análise de Marcha. San Pablo: Prima Producción Editorial; 2005.
Willems PA, Schepens B, Detrembleur C. Marcha normal. EMCKinesiterapia-Med Física. 2012;33(2):1–29.
Baker R. Gait analysis methods in rehabilitation. J Neuroeng Rehabil. 2006;3-4.
Fábrica CG, Peña I, Silva V, Ramos V. Aprovechamiento de energía, cinemática y estabilidad en la marcha de un amputado transfemoral sin abordaje de rehabilitación. Rev Fac Med Univ Nac Colomb. 2018;66(1):59–68.
Fábrica G, Jerez-Mayorga D, Silva-Pereyra V. Pendular energy transduction in the different phases of gait cycle in post-stroke subjects. Hum Mov Sci. 2019;66:521–528.
Saibene F, Minetti AE. Biomechanical and physiological aspects of legged locomotion in humans. Eur J Appl Physiol. 2003;88:297–316.
Peyré-Tartaruga LA, Dewolf AH, di Prampero PE, et al. Mechanical work as a (key) determinant of energy cost in human locomotion: recent findings and future directions. Exp Physiol. 2021;1–12.
Detrembleur C, Dierick F, Stoquart G, Chantraine F, Lejeune T. Energy cost, mechanical work, and efficiency of hemiparetic walking. Gait Posture. 2003;18:47–55.
Detrembleur C, Vanmarsenille JM, De Cuyper F, Dierick F. Relationship between energy cost, gait speed, vertical displacement of centre of body mass and efficiency of pendulum-like mechanism in unilateral amputee gait. Gait
Posture. 2005;21:333–340.
Farris DJ, Hampton A, Lewek MD, Sawicki GS. Revisiting the mechanics and energetics of walking in individuals with chronic hemiparesis following stroke: From individual limbs to lower limb joints. J Neuroeng Rehabil. 2015;12:12–24.
Bona RL, Gomeñuka NA, Storniolo JLL, Bonezi A, Biancardi CM. Selfselected walking speed in individuals with transfemoral amputation: recovery, economy and rehabilitation index. Eur J Physiother. 2019;22:133–140.
Peyré-Tartaruga LA, Coertjens M. Locomotion as a powerful model to study integrative physiology: Efficiency, economy, and power relationship. Front Physiol. 2018;9:1789.
Bona RL, Bonezi A, Da Silva PF, et al. Effect of walking speed in heart failure patients and heart transplant patients. Clin Biomech. 2017;42:85–91.
Semaan MB, Wallard L, Ruiz V, et al. Is treadmill walking biomechanically comparable to overground walking? A systematic review. Gait Posture. 2022;92:249-257.
Riley PO, Paolini G, Della Croce U, Paylo KW, Kerrigan DC. A kinematic and kinetic comparison of overground and treadmill walking in healthy subjects. Gait Posture. 2007;26:17–24.
Malatesta D, Canepa M, Menendez Fernandez A. The effect of treadmill and overground walking on preferred walking speed and gait kinematics in healthy, physically active older adults. Eur J Appl Physiol. 2017;117:1833–
Herssens N, Verbecque E, Hallemans A, et al. Do spatiotemporal parameters and gait variability differ across the lifespan of healthy adults? A systematic review. Gait Posture. 2018;64:181–190.
Mian OS, Thom JM, Ardigo LP, Narici MV, Minetti AE. Metabolic cost, mechanical work, and efficiency during walking in young and older men. Acta Physiol. 2006;186(2):127-139.
Browning RC, Baker EA, Herron JA, Kram R. Effects of obesity and sex on the energetic cost and preferred speed of walking. J Appl Physiol. 2006;100:390–398.
Malatesta D, Vismara L, Menegoni F, Galli M, Romei M, Capodaglio P. Mechanical external work and recovery at preferred walking speed in obese subjects. Med Sci Sports Exerc. 2009;41:426–434.
Browning RC. Locomotion mechanics in obese adults and children. Curr Obes Rep. 2012;1:152–159.
Fernández Menéndez A, Saubade M, Millet GP, Malatesta D. Energy-saving walking mechanisms in obese adults. J Appl Physiol. 2019;126:1250–1258.
Walpole SC, Prieto-Merino D, Edwards P, et al. The weight of nations: an estimation of adult human biomass. BMC Public Health. 2012;12:439.
Bell AL, Brand RA, Pedersen DR. Prediction of hip joint centre location from external landmarks. Hum Mov Sci. 1989;8:3–16.
Bell AL. A comparison of the accuracy of several hip centre location prediction methods. J Biomech. 1990;23:617–621.
Davis RB, Ounpuu S, Tyburski D, Gage JR. A gait analysis data collection and reduction technique. Hum Mov Sci. 1991;10:575–587.
Leardini A, Cappozzo A, Catani F, et al. Validation of a functional method for the estimation of hip joint centre location. J Biomech. 1999;32:99–103.
Minetti AE, Ardigò LP, Saibene F. Mechanical determinants of gradient walking energetics in man. J Physiol. 1993;471:725–735.
Pavei G, Seminati E, Cazzola D, Minetti AE. On the estimation accuracy of the 3D body center of mass trajectory during human locomotion: inverse vs. forward dynamics. Front Physiol. 2017;8:129.
Winter DA. Biomechanics and Motor Control of Human Movement. Wiley; 2009.
Willems PA, Cavagna GA, Heglund NC. External, internal and total work in human locomotion. J Exp Biol. 1995;198(Pt 2):379–393.
Cavagna GA. Physiological aspects of legged terrestrial locomotion. Springer; 2017.
Cavagna GA, Kaneko M. Mechanical work and efficiency in level walking and running. J Physiol. 1977;268(2):647–81.
Cavagna GA, Thys H, Zamboni A. The sources of external work in level walking and running. J Physiol. 1976;262(3):639-657.
Di Prampero PE. La locomozione umana su terra, in acqua, in aria: fatti e teorie. Edi- Ermes; 2015.
Zajacova A, Montez JK. Explaining the increasing disability prevalence among mid- life US adults, 2002 to 2016. Soc Sci Med. 2018;211:1–8.
Brown RT, Covinsky KE. Moving prevention of functional impairment upstream: is middle age an ideal time for intervention? Womens Midlife Health. 2020;6:4.
Cohen J. Statistical power analysis for the behavioural sciences. 2nd ed. Lawrence Erlbaum Associates; 1988.
Watt JR, Franz JR, Jackson K, Dicharry J, Riley PO, Kerrigan DC. A threedimensional kinematic and kinetic comparison of overground and treadmill walking in healthy elderly subjects. Clin Biomech (Bristol, Avon). 2010;25:444–9.
Moissenet F, Leboeuf F, Armand S. Lower limb sagittal gait kinematics can be predicted based on walking speed, gender, age and BMI. Sci Rep. 2019;9:9510.
Stoquart G, Detrembleur C, Lejeune T. Effect of speed on kinematic, kinetic, electromyographic and energetic reference values during treadmill walking. Neurophysiol Clin. 2008;38:105–116.
Guzelbulut K, Suzuki K, Shimono S. Singular value decomposition-based gait characterization. Heliyon. 2022;8:e12006.
Minetti AE, Capelli C, Zamparo P, di Prampero PE, Saibene F. Effects of stride frequency on mechanical power and energy expenditure of walking. Med Sci Sports Exerc. 1995;27:1194–1202.
Nardello F, Ardigò LP, Minetti AE. Measured and predicted mechanical internal work in human locomotion. Hum Mov Sci. 2010;30(1):90-104.
Dal U, Erdogan T, Resitoglu B, Beydagi H. Determination of preferred walking speed on treadmill may lead to high oxygen cost on treadmill walking. Gait Posture. 2010;31:366–369.
Martin JP, Li Q. Overground vs. treadmill walking on biomechanical energy harvesting: An energetics and EMG study. Gait Posture. 2017;52:124–128.
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