Tytuł artykułu
Autorzy
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Gait changes are more prominently observed in older adults than in young adults, especially in kinematics of lower extremities and trunk. These changes can result in incidental falls during gait, possibly leading to inability to perform activities of daily living independently. This study aimed to investigate the effect of gender and age on gait changes, such as spatiotemporal parameters and peak joint angles in lower extremities and trunk during gait. Methods: A total of 387 participants (223 women) were included. The Microsoft Kinect V2 sensor was used to obtain the coordinate data of lower extremities and trunk during gait. The coordinate data obtained were processed using the software. Walking speed, stride length, stride time and cadence were calculated as spatiotemporal variables of walking. Forward trunk tilt angle (FTT), hip flexion and extension, and knee flexion and extension were measured as peak angles during one-gait cycle. Participants were categorized into five groups according to age by five years. Multivariate analysis of variance was performed to compare the spatiotemporal and kinematical data among groups. Results: Significant differences among age groups were noted in terms of the walking speed and stride length. Significant differences were also observed in the FTT and hip extension angle. Conclusions: Increased gait changes, increased peak FTT and decreased peak hip extension angle were observed with an increase of age. These altered symptoms may contribute to the screening of older adults at risk of declined physical function at an early stage.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
13--19
Opis fizyczny
Bibliogr. 28 poz., tab.
Twórcy
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
- Department of Sports, Health and Well-being, Faculty of Human Health Science, Hiroshima Bunka Gakuen University, Hiroshima, Japan.
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
- Department of Rehabilitation, Taira Hospital, Wake County, Okayama, Japan.
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
- Research Institute of Health and welfare, Kibi International University, Okayama, Japan.
- Department of Rehabilitation, Kurashiki Heisei Hospital, Okayama, Japan.
autor
- School of Integrated Arts and Sciences, Hiroshima University, Hiroshima, Japan.
autor
- Artificial Intelligence Research Center (AIRC), National Institute of Advanced, Industrial Science and Technology (AIST), Tokyo, Japan.
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
- Department of Rehabilitation, Faculty of Health Sciences, Hiroshima Cosmopolitan University, Hiroshima, Japan.
autor
- Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
Bibliografia
- [1] ALCOCK L., O’BRIEN T.D., VANICEK N., Age-related changes in physical functioning: Correlates between objective and selfreported outcomes, Physiother (United Kingdom), 2015, 101, 204–213.
- [2] ANDERSON D.E., MADIGAN M.L., Healthy older adults have insufficient hip range of motion and plantar flexor strength to walk like healthy young adults, J. Biomech., 2014, 47, 1104–1109.
- [3] BEGG R.K., SPARROW W.A., Ageing effects on knee and ankle joint angles at key events and phases of the gait cycle, J. Med. Eng. Technol., 2006, 30, 382–389.
- [4] BOBOWIK P., WISZOMIRSKA I., The impact of obesity and age on the risk of falls in elderly women, Acta Bioeng. Biomech., 2021, 23 (2), 123–130.
- [5] CALLISAYA M.L., BLIZZARD L., SCHMIDT M.D., MCGINLEY J.L., SRIKANTH V.K., Ageing and gait variability-a populationbased study of older people, Age. Ageing, 2010, 39, 191–197.
- [6] CRUZ-JIMENEZ M., Normal Changes in Gait and Mobility Problems in the Elderly, Phys. Med. Rehabil. Clin. N. Am., 2017, 28, 713–725.
- [7] DIPIETRO L., CAMPBELL W.W., BUCHNER D.M., ERICKSON K.I., POWELL K.E., BLOODGOOD B., HUGHES T., DAY K.R., PIERCY K.L., VAUX-BJERKE A., OLSON R.D., Physical activity, Iijurious falls, and physical function in aging: an Umbrella review, Med. Sci. Sports Exerc., 2019, 51, 1303–1313.
- [8] DRZAŁ-GRABIEC J., SNELA S., RYKAŁA J., PODGÓRSKA J., BANAŚ A., Changes in the body posture of women occurring with age, BMC. Geriatr., 2013, 13, 1–7.
- [9] GONABADI A.M., ANTONELLIS P., MALCOLM P., Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study, Acta Bioeng. Biomech., 2021, 23 (2), 139–145.
- [10] GRANACHER U., LACROIX A., ROETTGER K., GOLLHOFER A., MUEHLBAUER T., Relationships between trunk muscle strength, spinal mobility, and balance performance in older adults, J. Aging Phys. Act, 2014, 22, 490–498.
- [11] GRIFFIOEN M., VAN DIEËN J.H., Effects of age and sex on trunk motor control, J. Biomech., 2020, 102, 109607.
- [12] HAN J., SHAO L., XU D., SHOTTON J., Enhanced computer vision with Microsoft Kinect sensor: a review, IEEE. Trans. Cybern., 2013, 43, 1318–1334.
- [13] HOLLMAN J.H., MCDADE E.M., PETERSEN R.C., Normative spatiotemporal gait parameters in older adults, Gait Posture, 2011, 34, 111–118.
- [14] HOLMES J., POWELL-GRINER E., LETHBRIDGE-CEJKU M., HEYMAN K., Aging differently: Physical limitations among adults aged 50 years and over: United States, 2001–2007, NCHS. Data. Brief., 2009, 20, 1–8.
- [15] KANDA Y., Investigation of the freely available easy-to-use software “EZR” for medical statistics, Bone. Marrow. Transplant., 2013, 48, 452–458.
- [16] KERRIGAN D.C., LEE L.W., COLLINS J.J., RILEY P.O,, LIPSITZ L.A., Reduced hip extension during walking: Healthy elderly and fallers versus young adults, Arch. Phys. Med. Rehabil., 2001, 82, 26–30.
- [17] KOBAYASHI Y., HOBARA H., HELDOORN T.A, KOUCHI M., MOCHIMARU M., Age-independent and age-dependent sex differences in gait pattern determined by principal component analysis, Gait Posture, 2016, 46, 11–17.
- [18] KO S., TOLEA M.I., HAUSDORFF J.M., FERRUCCI L., Sex-specific differences in gait patterns of healthy older adults: results from the Baltimore Longitudinal Study of Aging, J. Biomech., 2011, 44, 1974–1979.
- [19] LEE H.J., CHANG W.H., CHOI B.O., RYU G.H., KIM Y.H., Age-related differences in muscle co-activation during locomotion and their relationship with gait speed: a pilot study, BMC. Geriatr., 2017, 17, 1–8.
- [20] MAKINO K., MAKIZAKO H., DOI T., TSUTSUMIMOTO K., HOTTA R., NAKAKUBO S., SUZUKI T., SHIMADA H., Fear of falling and gait parameters in older adults with and without fall history, Geriatr. Gerontol. Int., 2017, 17, 2455–2459.
- [21] MCGIBBON C.A., KREBS D.E., Age-related changes in lower trunk coordination and energy transfer during gait, J. Neurophysiol., 2001, 85, 1923–1931.
- [22] MOE-NILSSEN R., HELBOSTAD J.L., Spatiotemporal gait parameters for older adults – An interactive model adjusting reference data for gender, age, and body height, Gait Posture, 2020, 82, 220–226.
- [23] PARK Y.S., KIM J.W., KWON Y., KWON M.S., Effect of age and sex on gait characteristics in the Korean elderly people, Iran. J. Public. Health, 2018, 47, 666–673.
- [24] SKIADOPOULOS A., MOORE E.E., SAYLES H.R., SCHMID K.K., STERGIOU N., Step width variability as a discriminator of age-related gait changes, J. Neuroeng. Rehabil., 2020, 17, 1–13.
- [25] TAMURA H., TANAKA R., KAWANISHI H., Reliability of a markerless motion capture system to measure the trunk, hip and knee angle during walking on a flatland and a treadmill, J. Biomech., 2020, 109, 109929.
- [26] TANAKA R., TAKIMOTO H., YAMASAKI T., HIGASHI A., Validity of time series kinematical data as measured by a markerless motion capture system on a flatland for gait assessment, J. Biomech., 2018, 71, 281–285.
- [27] TATEUCHI H., TANIGUCHI M., MORI N., ICHIHASHI N., Balance of hip and trunk muscle activity is associated with increased anterior pelvic tilt during prone hip extension, J. Electromyogr. Kinesiol., 2012, 22, 391–397.
- [28] XU X., MCGORRY R.W., CHOU L.S., LIN J.H., CHANG C.C., Accuracy of the Microsoft KinectTM for measuring gait parameters during treadmill walking, Gait Posture, 2015, 42, 145–151.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4e3cd26e-8f98-4700-9199-be4c19cfc7a0