[
1. Adachi D., Nishiguchi S., Fukutani N., Hotta T., Tashiro Y., Morino S., Shirooka H., Nozaki Y., Hirata H., Yamaguchi M., Yorozu A., Takahashi M., Aoyama T. (2017) Generating linear regression model to predict motor functions by use of laser range finder during TUG. J. Orthop. Sci., 22(3): 549-53. DOI: 10.1016/j.jos.2017.01.020.10.1016/j.jos.2017.01.02028254157
]Search in Google Scholar
[
2. Baker R. Measuring walking. 1st ed. Hart HM, ed. London: Mac Keith Press; 2013.
]Search in Google Scholar
[
3. Bonnyaud C., Pradon D., Vuillerme N., Bensmail D., Roche N. (2015) Spatiotemporal and kinematic parameters relating to oriented gait and turn performance in patients with chronic stroke. PLoS One, 10(6): e0129821. DOI: 10.1371/journal.pone.0129821.10.1371/journal.pone.0129821447488526091555
]Search in Google Scholar
[
4. Bonnyaud C., Pradon D., Zory R., Bensmail D., Vuillerme N., Roche N. (2015) Gait parameters predicted by timed up and go performance in stroke patients. NeuroRehabilitation, 36(1): 73-80. DOI: 10.3233/NRE-141194.10.3233/NRE-14119425547769
]Search in Google Scholar
[
5. Bowen M.E., Crenshaw J., Stanhope S.J. (2018) Balance ability and cognitive impairment influence sustained walking in an assisted living facility. Arch. Gerontol. Geriatr., 77: 133-141. DOI: 10.1016/j.archger.2018.05.004.10.1016/j.archger.2018.05.00429753298
]Search in Google Scholar
[
6. Canseco K., Kruger K.M., Fritz J.M., Konop K.A., Tarima S., Marks R.M., Harris G.F. (2018) Distribution of segmental foot kinematics in patients with degenerative joint disease of the ankle. J. Orthop. Res., 36(6): 1739-1746. DOI: 10.1002/jor.23807.10.1002/jor.2380729139570
]Search in Google Scholar
[
7. Chan Y.H., (2003) Biostatistics 104: correlational analysis. Singapore Med. J., 44(12): 614-619.
]Search in Google Scholar
[
8. Cruz-Jimenez M. (2017) Normal Changes in Gait and Mobility Problems in the Elderly. Phys. Med. Rehabil. Clin. N. Am., 28(4): 713-725. DOI: 10.1016/j.pmr.2017.06.005.10.1016/j.pmr.2017.06.00529031338
]Search in Google Scholar
[
9. Edwards M.H., Jameson K., Denison H., Harvey N.C., Aihie Sayer A., Dennison E.M., Cooper C. (2013) Clinical risk factors, bone density and fall history in the prediction of incident fracture among men and women. Bone, 52(2): 541-547. DOI: 10.1016/j.bone.2012.11.006.10.1016/j.bone.2012.11.006365462823159464
]Search in Google Scholar
[
10. Garcia-Pinillos F., Cozar-Barba M., Munoz-Jimenez M., Soto-Hermoso V., Latorre-Roman P. (2016) Gait speed in older people: an easy test for detecting cognitive impairment, functional independence, and health state. Psycho-geriatrics, 16(3):165-71. DOI: 10.1111/psyg.12133.10.1111/psyg.1213326114989
]Search in Google Scholar
[
11. Gor-García-Fogeda M.D., Cano de la Cuerda R., Carratalá Tejada M., Alguacil-Diego I.M., Molina-Rueda F. (2016) Observational gait assessments in people with neurological disorders: a systematic review. Arch. Phys. Med. Rehabil., 97(1): 131-140. DOI: 10.1016/j. apmr.2015.07.018.
]Search in Google Scholar
[
12. Hedman A-M.R., Fonad E., Sandmark H. (2013) Older people living at home: associations between falls and health complaints in men and women. J. Clin. Nurs., 22(19-20): 2945-2952. DOI: 10.1111/jocn.12279.10.1111/jocn.1227923829490
]Search in Google Scholar
[
13. Herssens N., Verbecque E., Hallemans A., Vereeck L., Van Rompaey V., Saeys W. (2018) Do spatiotemporal parameters and gait variability differ across the lifespan of healthy adults? A systematic review. Gait Posture, 64: 181-190. DOI: 10.1016/j.gaitpost.2018.06.012.10.1016/j.gaitpost.2018.06.01229929161
]Search in Google Scholar
[
14. Johansson J., Nordström A., Nordström P. (2016) Greater fall risk in elderly women than in men is associated with increased gait variability during multitasking. J. Am. Med. Dir. Assoc., 17(6): 535-540. DOI: 10.1016/j. jamda.2016.02.009.
]Search in Google Scholar
[
15. Kegelmeyer D.A., Kloos A.D., Thomas K.M., Kostyk S.K. (2007) Reliability and validity of the Tinetti Mobility Test for individuals with Parkinson disease. Phys. Ther., 87(10): 1369-1378. DOI: 10.2522/ptj.20070007.10.2522/ptj.2007000717684089
]Search in Google Scholar
[
16. Kluger B.M., Brown R.P., Aerts S., Schenkman M. (2014) Determinants of objectively measured physical functional performance in early to mid-stage Parkinson disease. PM R. 6(11): 992-998. DOI: 10.1016/j. pmrj.2014.05.013.
]Search in Google Scholar
[
17. Kyrdalen I.L., Thingstad P., Sandvik L., Ormstad H. (2019) Associations between gait speed and well-known fall risk factors among community-dwelling older adults. Physi-other. Res. Int., 24(1): e1743. DOI: 10.1002/pri.1743.10.1002/pri.174330198603
]Search in Google Scholar
[
18. Levine D., Richards J., Whittle M.W. (2012) Basic sciences. En: Whittle’s gait analysis. 5th ed. Edinburgh: Churchill Livingstone.
]Search in Google Scholar
[
19. Levine D., Richards J., Whittle M.W. (2012) Whittle’s gait analysis. Elsevier Health Sciences.
]Search in Google Scholar
[
20. Lord S.R., Murray S.M., Chapman K., Munro B., Tiedemann A. (2002) Sit-to-stand performance depends on sensation, speed, balance, and psychological status in addition to strength in older people. J. Gerontol. A Biol. Sci. Med. Sci., 57(8): M539-543. DOI: 10.1093/gerona/57.8.m539.10.1093/gerona/57.8.M53912145369
]Search in Google Scholar
[
21. MacRae P.G., Schnelle J.F., Simmons S.F., Ouslander J.G. (1996) Physical activity levels of ambulatory nursing home residents. J. Aging Phys. Act., 4(3):264-278. DOI: 10.1123/japa.4.3.264.10.1123/japa.4.3.264
]Search in Google Scholar
[
22. Maggio M., Ceda G.P., Ticinesi A., De Vita F., Gelmini G., Costantino C., Meschi T., Kressig R.W., Cesari M., Fabi M., Lauretani F. (2016) Instrumental and non-instrumental evaluation of 4-meter walking speed in older individuals. PLoS One, 11(4): e0153583. DOI: 10.1371/journal.pone.0153583.10.1371/journal.pone.0153583483172727077744
]Search in Google Scholar
[
23. Mikos V., Yen S-C., Tay A., et al. (2018) Regression analysis of gait parameters and mobility measures in a healthy cohort for subject-specific normative values. PLoS One, 13(6): e0199215. DOI: 10.1371/journal.pone.0199215.10.1371/journal.pone.0199215600548629912992
]Search in Google Scholar
[
24. Mong Y., Teo T.W., Ng S.S. (2010) 5-repetition sit-to-stand test in subjects with chronic stroke: reliability and validity. Arch. Phys. Med. Rehabil., 91(3): 407-413. DOI: 10.1016/j.apmr.2009.10.030.10.1016/j.apmr.2009.10.03020298832
]Search in Google Scholar
[
25. Muraki S., Akune T., Oka H., Ishimoto Y., Nagata K., Yoshida M., Tokimura F., Nakamura K., Kawaguchi H., Yoshimura N. (2013) Physical performance, bone and joint diseases, and incidence of falls in Japanese men and women: a longitudinal cohort study. Osteoporos Int., 24(2): 459-466. DOI: 10.1007/s00198-012-1967-0.10.1007/s00198-012-1967-022434204
]Search in Google Scholar
[
26. Park Y.S., Kim J.W., Kwon Y., Kwon M.S. (2018) Effect of age and sex on gait characteristics in the korean elderly people. Iran J. Public Health, 47(5): 666-673.
]Search in Google Scholar
[
27. Podsiadlo D., Richardson S. (1991) The timed «Up & Go»: a test of basic functional mobility for frail elderly persons. J. Am. Geriatr. Soc., 39(2): 142-148.10.1111/j.1532-5415.1991.tb01616.x1991946
]Search in Google Scholar
[
28. Shumway-Cook A., Brauer S., Woollacott M. (2000) Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test. Phys. Ther., 80(9): 896-903. DOI: 10.1093/ptj/80.9.896.10.1093/ptj/80.9.896
]Search in Google Scholar
[
29. Spagnuolo D.L., Jürgensen S.P., Iwama A.M., Dourado V.Z. (2010) Walking for the assessment of balance in healthy subjects older than 40 years. Gerontology, 56(5): 467-473. DOI: 10.1159/000275686.10.1159/000275686
]Search in Google Scholar
[
30. Steffen T.M., Hacker T.A., Mollinger L. (2002) Age- and 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., 82(2): 128-137. DOI: 10.1093/ptj/82.2.128.10.1093/ptj/82.2.128
]Search in Google Scholar
[
31. Subsecretaria de Salud Pública de Chile. Manual de aplicación del axamen de medicina preventiva del adulto mayor.; 2010. Disponible en: http://www.minsal.cl/portal/url/item/ab1f81f43ef0c2a6e04001011e011907.pdf.
]Search in Google Scholar
[
32. Tang P-F., Woollacott M.H. (1996) Balance control in older adults: training effects on balance control and the integration of balance control into walking. Adv. Psychol., 114(C): 339-367. DOI: 10.1016/S0166-4115(96)80015-X.10.1016/S0166-4115(96)80015-X
]Search in Google Scholar
[
33. Tao W., Liu T., Zheng R., Feng H. (2012) Gait analysis using wearable sensors. Sensors (Basel). 12(2): 2255-2283. DOI: 10.3390/s120202255.10.3390/s120202255330416522438763
]Search in Google Scholar
[
34. Thapa P.B., Gideon P., Fought R.L., Kormicki M., Ray W.A. (1994) Comparison of clinical and biomechanical measures of balance and mobility in elderly nursing home residents. J. Am. Geriatr. Soc., 42(5): 493-500. DOI: 10.1111/j.1532-5415.1994.tb04970.x.10.1111/j.1532-5415.1994.tb04970.x8176143
]Search in Google Scholar
[
35. Whitney S.L., Wrisley D.M., Marchetti G.F., Gee M.A., Redfern M.S., Furman J.M. (2005) Clinical measurement of sit-to-stand performance in people with balance disorders: validity of data for the Five-Times-Sit-to-Stand Test. Phys. Ther., 85(10): 1034-1045. DOI: 10.1093/ptj/85.10.1034.10.1093/ptj/85.10.1034
]Search in Google Scholar
[
36. Yelnik A., Bonan I. (2008) Clinical tools for assessing balance disorders. Neurophysiol. Clin., 38(6): 439-445. DOI: 10.1016/j.neucli.2008.09.008.10.1016/j.neucli.2008.09.00819026963
]Search in Google Scholar
