Generating linear regression model to predict motor functions by use of laser range finder during TUG

Daiki Adachi, Shu Nishiguchi, Naoto Fukutani, Takayuki Hotta, Yuto Tashiro, Saori Morino, Hidehiko Shirooka, Yuma Nozaki, Hinako Hirata, Moe Yamaguchi, Ayanori Yorozu, Masaki Takahashi, Tomoki Aoyama

Research output: Contribution to journalArticle

Abstract

Purpose The purpose of this study was to investigate which spatial and temporal parameters of the Timed Up and Go (TUG) test are associated with motor function in elderly individuals. Methods This study included 99 community-dwelling women aged 72.9 ± 6.3 years. Step length, step width, single support time, variability of the aforementioned parameters, gait velocity, cadence, reaction time from starting signal to first step, and minimum distance between the foot and a marker placed to 3 in front of the chair were measured using our analysis system. The 10-m walk test, five times sit-to-stand (FTSTS) test, and one-leg standing (OLS) test were used to assess motor function. Stepwise multivariate linear regression analysis was used to determine which TUG test parameters were associated with each motor function test. Finally, we calculated a predictive model for each motor function test using each regression coefficient. Results In stepwise linear regression analysis, step length and cadence were significantly associated with the 10-m walk test, FTSTS and OLS test. Reaction time was associated with the FTSTS test, and step width was associated with the OLS test. Each predictive model showed a strong correlation with the 10-m walk test and OLS test (P < 0.01), which was not significant higher correlation than TUG test time. Conclusion We showed which TUG test parameters were associated with each motor function test. Moreover, the TUG test time regarded as the lower extremity function and mobility has strong predictive ability in each motor function test.

Original languageEnglish
Pages (from-to)549-553
Number of pages5
JournalJournal of Orthopaedic Science
Volume22
Issue number3
DOIs
Publication statusPublished - 2017 May 1

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Linear Models
Leg
Lasers
Reaction Time
Regression Analysis
Independent Living
Aptitude
Exercise Test
Gait
Foot
Lower Extremity
Walk Test

ASJC Scopus subject areas

  • Medicine(all)
  • Orthopedics and Sports Medicine

Cite this

Adachi, D., Nishiguchi, S., Fukutani, N., Hotta, T., Tashiro, Y., Morino, S., ... Aoyama, T. (2017). Generating linear regression model to predict motor functions by use of laser range finder during TUG. Journal of Orthopaedic Science, 22(3), 549-553. https://doi.org/10.1016/j.jos.2017.01.020

Generating linear regression model to predict motor functions by use of laser range finder during TUG. / Adachi, Daiki; Nishiguchi, Shu; Fukutani, Naoto; Hotta, Takayuki; Tashiro, Yuto; Morino, Saori; Shirooka, Hidehiko; Nozaki, Yuma; Hirata, Hinako; Yamaguchi, Moe; Yorozu, Ayanori; Takahashi, Masaki; Aoyama, Tomoki.

In: Journal of Orthopaedic Science, Vol. 22, No. 3, 01.05.2017, p. 549-553.

Research output: Contribution to journalArticle

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', Journal of Orthopaedic Science, vol. 22, no. 3, pp. 549-553. https://doi.org/10.1016/j.jos.2017.01.020
Adachi, Daiki ; Nishiguchi, Shu ; Fukutani, Naoto ; Hotta, Takayuki ; Tashiro, Yuto ; Morino, Saori ; Shirooka, Hidehiko ; Nozaki, Yuma ; Hirata, Hinako ; Yamaguchi, Moe ; Yorozu, Ayanori ; Takahashi, Masaki ; Aoyama, Tomoki. / Generating linear regression model to predict motor functions by use of laser range finder during TUG. In: Journal of Orthopaedic Science. 2017 ; Vol. 22, No. 3. pp. 549-553.
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