Relación entre composición corporal y movimientos realizados durante la marcha en mujeres

  1. Raquel Leirós Rodríguez 1
  2. Vicente Romo Pérez 2
  3. Elena Arce Fariña 3
  4. José Luis García Soidán 2
  1. 1 Facultad de Fisioterapia de la Universidad de Vigo
  2. 2 Facultad de Ciencias de la Educación y del Deporte de la Universidad de Vigo
  3. 3 Centro Universitario de la Defensa de la Universidad de Vigo
Journal:
Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte

ISSN: 1577-0354

Year of publication: 2018

Volume: 18

Issue: 72

Pages: 769-781

Type: Article

DOI: 10.15366/RIMCAFD2018.72.006 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte

Abstract

The aim of this paper is to explore the relationships between gait parameters and body composition in healthy women. A cross-sectional study with a sample composed of 112 healthy adult women (64.1 ± 8.6 years). The subjects walked a distance of 20 meters with a triaxial accelerometer attached at the fourth lumbar vertebra. The test was repeated three times and the mean of the three trials was used for the analysis. Clinical indicators (Timed Up and Go Test, 6Minute Walk Test and waist perimeter) and body composition (bioimpedance) were also evaluated. Total body and lower limb fat mass percentages were strongly correlated with the average acceleration in vertical axis and the minimum value of module vector of the accelerations. In women over the age of 71, the percentage of total body fat and lower limbs determines body movements during gait. Therefore, the amount of fat mass is related to the stability in the gait of the elderly

Bibliographic References

  • Aguado-Henche S, Clemente de Arriba C, Rodríguez-Torres R. Pilates mat y composición corporal de mujeres posmenopáusicas. Estudio densitométrico. Rev Int Med Cienc Act Fís Deporte. 2017;67(17):493505. https://doi.org/10.15366/rimcafd2017.67.007
  • Alvero-Cruz J, Gómez LC, Ronconi M, Vázquez RF, i Manzañido JP. La bioimpedancia eléctrica como método de estimación de la composición corporal: Normas prácticas de utilización. Rev Andal Med Deporte. 2011;4(4):167-74. https://doi.org/articulo.oa?id=323327668006
  • Bautmans I, Jansen B, Van Keymolen B, Mets T. Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk. Gait Posture. 2011;33(3):366-72. https://doi.org/10.1016/j.gaitpost.2010.12.003
  • Bischoff HA, Stahelin HB, Monsch AU, Iversen MD, Weyh A, von Dechend M, et al. Identifying a cut-off point for normal mobility: A comparison of the timed 'up and go' test in community-dwelling and institutionalised elderly women. Age Ageing. 2003;32(3):315-20. https://doi.org/10.1093/ageing/32.3.315
  • Blazek K, Asay JL, Erhart‐Hledik J, Andriacchi T. Adduction moment increases with age in healthy obese individuals. J Orthop Res. 2013;31(9):1414-22. https://doi.org/10.1002/jor.22390
  • Bohannon RW, Andrews AW. Normal walking speed: A descriptive metaanalysis. Physiotherapy. 2011;97(3):182-9. https://doi.org/10.1016/j.physio.2010.12.004
  • Brach JS, McGurl D, Wert D, Vanswearingen JM, Perera S, Cham R, et al. Validation of a measure of smoothness of walking. J Gerontol A Biol Sci Med Sci. 2011;66(1):136-41. https://doi.org/10.1093/gerona/glq170
  • Britton KA, Massaro JM, Murabito JM, Kreger BE, Hoffmann U, Fox CS. Body fat distribution, incident cardiovascular disease, cancer, and allcause mortality. J Am Coll Cardiol. 2013;62(10):921-5. https://doi.org/10.1016/j.jacc.2013.06.027
  • Butterworth PA, Landorf K, Gilleard W, Urquhart D, Menz H. The association between body composition and foot structure and function: A systematic review. Obes Rev. 2014;15(4):348-57. https://doi.org/10.1111/obr.12130
  • Cerhan JR, Moore SC, Jacobs EJ, Kitahara CM, Rosenberg PS, Adami HO, et al. A pooled analysis of waist circumference and mortality in 650,000 adults. Mayo Clin Proc. 2014;89(3):335-45. https://doi.org/10.1016/j.mayocp.2013.11.011
  • Chaput J, Doucet E, Tremblay A. Obesity: A disease or a biological adaptation? an update. Obesity reviews. 2012;13(8):681-91. https://doi.org/10.1111/j.1467-789X.2012.00992.x
  • Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752-62. https://doi.org/10.1016/S01406736(12)62167-9
  • DeVita P, Hortobagyi T. Age causes a redistribution of joint torques and powers during gait. J Appl Physiol (1985). 2000;88(5):1804-11. https://doi.org/10.1152/jappl.2000.88.5.1804
  • Fuller D, Pabayo R. The relationship between utilitarian walking, utilitarian cycling, and body mass index in a population based cohort study of adults: Comparing random intercepts and fixed effects models. Prev Med. 2014;69:261-6. https://doi.org/10.1016/j.ypmed.2014.10.022
  • Hall-López J, Ochoa-Martínez P, Alarcón-Meza E, Moncada-Jiménez J, Garcia-Bertruy O, Martin-Dantas E. Programa de entrenamiento de hidrogimnasia sobre las capacidades físicas de adultas mayores. Rev Int Med Cienc Act Fís Deporte. 2017;66(17):283-98. https://doi.org/10.15366/rimcafd2017.66.005
  • Hartmann A, Luzi S, Murer K, de Bie RA, de Bruin ED. Concurrent validity of a trunk tri-axial accelerometer system for gait analysis in older adults. Gait Posture. 2009;29(3):444-8. https://doi.org/10.1016/S00257753(07)72531-9
  • Kang HG, Dingwell JB. Effects of walking speed, strength and range of motion on gait stability in healthy older adults. J Biomech. 2008;41(14):2899-905. https://doi.org/10.1016/j.jbiomech.2008.08.002
  • Kuchibhatla MN, Fillenbaum GG, Kraus WE, Cohen HJ, Blazer DG. Trajectory classes of body mass index in a representative elderly community sample. J Gerontol A Biol Sci Med Sci. 2013;68(6):699-704. https://doi.org/10.1093/gerona/gls215
  • Lera-López F, Irisarri G, Ollo-López A, Sánchez Iriso E, Cabasés Hita J, Sánchez Santos J. Actividad física y salud autopercibida en personas mayores de 50 años. Rev Int Med Cienc Act Fís Deporte. 2017;67(17):559-71. https://doi.org/10.15366/rimcafd2017.67.011
  • López PM, Fernández-Ballesteros R, Zamarron MD, López SR. Anthropometric, body composition and health determinants of active ageing: A gender approach. J Biosoc Sci. 2011;43:597-610. https://doi.org/10.1017/S0021932011000228
  • Ma X, He W, Zhu S. Fat and fat distribution in menopause: Chinese aspects. In: Nutrition and diet in menopause. Springer; 2013:271-9.
  • Mizuike C, Ohgi S, Morita S. Analysis of stroke patient walking dynamics using a tri-axial accelerometer. Gait Posture. 2009;30(1):60-4. https://doi.org/10.1016/j.gaitpost.2009.02.017
  • Moe-Nilssen R. A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument. Clin Biomech. 1998;13(4):320-7. https://doi.org/10.1016/S0268-0033(98)00089-8
  • Rispens SM, van Schooten KS, Pijnappels M, Daffertshofer A, Beek PJ, van Dieen JH. Do extreme values of daily-life gait characteristics provide more information about fall risk than median values? JMIR Res Protoc. 2015;4(1):e4. https://doi.org/10.2196/resprot.3931
  • Senden R, Grimm B, Heyligers I, Savelberg H, Meijer K. Acceleration-based gait test for healthy subjects: Reliability and reference data. Gait Posture. 2009;30(2):192-6. https://doi.org/10.1016/j.gaitpost.2009.04.008
  • Senden R, Savelberg H, Grimm B, Heyligers I, Meijer K. Accelerometry based gait analysis, an additional objective approach to screen subjects at risk for falling. Gait Posture. 2012;36(2):296-300. https://doi.org/10.1016/j.gaitpost.2012.03.015
  • Shin S, An D. The effect of motor dual-task balance training on balance and gait of elderly women. J Phys Ther Sci. 2014;26(3):359-61. https://doi.org/10.1589/jpts.26.359
  • Silvernail JF, Milner CE, Thompson D, Zhang S, Zhao X. The influence of body mass index and velocity on knee biomechanics during walking. Gait Posture. 2013;37(4):575-9. https://doi.org/10.1016/j.gaitpost.2012.09.016
  • Sociedad Española para el Estudio de la Obesidad (SEEDO). Consenso SEEDO’2000 para la evaluación del sobrepeso y la obesidad y el establecimiento de criterios de intervención terapéutica. Med Clin. 2000;115:587-97. https://doi.org/10.1016/S0025-7753(07)72531-9
  • Steffen TM, Hacker TA, Mollinger L. Ageand gender-related test performance in community-dwelling elderly people: Six-minute walk test, berg balance scale, timed up & go test, and gait speeds. Phys Ther. 2002;82(2):128-37. https://doi.org/10.1093/ptj/82.2.128
  • Tadano S, Takeda R, Sasaki K, Fujisawa T, Tohyama H. Gait characterization for osteoarthritis patients using wearable gait sensors (H-gait systems). J Biomech. 2016;49(5):684-90. https://doi.org/10.1016/j.jbiomech.2016.01.017
  • Thiede R, Toosizadeh N, Mills JL, Zaky M, Mohler J, Najafi B. Gait and balance assessments as early indicators of frailty in patients with known peripheral artery disease. Clin Biomech. 2015;32:1-7.
  • Viester L, Verhagen EA, Hengel KMO, Koppes LL, van der Beek, Allard J, Bongers PM. The relation between body mass index and musculoskeletal symptoms in the working population. BMC Musculoskelet Disord. 2013;14(1):1. https://doi.org/10.1186/1471-247414-238
  • Vincent H, Vincent K, Lamb K. Obesity and mobility disability in the older adult. Obesity Reviews. 2010;11(8):568-79. https://doi.org/10.1111/j.1467-789X.2009.00703.x
  • Visser M, Goodpaster BH, Kritchevsky SB, Newman AB, Nevitt M, Rubin SM, et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. J Gerontol A Biol Sci Med Sci. 2005;60(3):324-33. https://doi.org/10.1093/gerona/60.3.324