Literature DB >> 26183585

Factors Contributing to Single- and Dual-Task Timed "Up & Go" Test Performance in Middle-Aged and Older Adults Who Are Active and Dwell in the Community.

Hui-Ya Chen1, Pei-Fang Tang2.   

Abstract

BACKGROUND: Dual-task Timed "Up & Go" (TUG) tests are likely to have applications different from those of a single-task TUG test and may have different contributing factors.
OBJECTIVE: The purpose of this study was to compare factors contributing to performance on single- and dual-task TUG tests.
DESIGN: This investigation was a cross-sectional study.
METHODS: Sixty-four adults who were more than 50 years of age and dwelled in the community were recruited. Interviews and physical examinations were performed to identify potential contributors to TUG test performance. The time to complete the single-task TUG test (TUGsingle) or the dual-task TUG test, which consisted of completing the TUG test while performing a serial subtraction task (TUGcognitive) or while carrying water (TUGmanual), was measured.
RESULTS: Age, hip extensor strength, walking speed, general mental function, and Stroop scores for word and color were significantly associated with performance on all TUG tests. Hierarchical multiple regression models, without the input of walking speed, revealed different independent factors contributing to TUGsingle performance (Mini-Mental Status Examination score, β=-0.32), TUGmanual performance (age, β=0.35), and TUGcognitive performance (Stroop word score, β=-0.40; Mini-Mental Status Examination score, β=-0.31). LIMITATIONS: At least 40% of the variance in the performance on the 3 TUG tests was not explained by common clinical measures, even when the factor of walking speed was considered. However, this study successfully identified some important factors contributing to performance on different TUG tests, and other studies have reported similar findings for single-task TUG test and dual-task gait performance.
CONCLUSIONS: Although the TUGsingle and the TUGcognitive shared general mental function as a common factor, the TUGmanual was uniquely influenced by age and the TUGcognitive was uniquely influenced by focused attention. These results suggest that both common and unique factors contribute to performance on single- and dual-task TUG tests and suggest important applications of the combined use of the 3 TUG tests.
© 2016 American Physical Therapy Association.

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Year:  2015        PMID: 26183585     DOI: 10.2522/ptj.20140292

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  6 in total

1.  Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test.

Authors:  Erin Smith; Caitriona Cunningham; Barry R Greene; Ulrik McCarthy Persson; Catherine Blake
Journal:  Aging Clin Exp Res       Date:  2020-10-23       Impact factor: 3.636

2.  Greater Cognitive-Motor Interference in Individuals Post-Stroke During More Complex Motor Tasks.

Authors:  Jordyn Rice; Daniel T Corp; Alessandra Swarowsky; Lawrence P Cahalin; Danylo F Cabral; Christina Nunez; Sebastian Koch; Tatjana Rundek; Joyce Gomes-Osman
Journal:  J Neurol Phys Ther       Date:  2022-01-01       Impact factor: 3.649

3.  Do the dual-task "8-foot up and go" tests provide additional predictive value for early detection of cognitive decline in community-dwelling older women?

Authors:  Jingjing Wang; Jin-Tao Hong; Yun Xiang; Chunhua Zhang
Journal:  Aging Clin Exp Res       Date:  2022-07-15       Impact factor: 4.481

4.  Timed up and go test at tap test and shunt surgery in idiopathic normal pressure hydrocephalus.

Authors:  Shigeki Yamada; Masatsune Ishikawa; Masakazu Miyajima; Madoka Nakajima; Masamichi Atsuchi; Teruo Kimura; Takahiko Tokuda; Hiroaki Kazui; Etsuro Mori
Journal:  Neurol Clin Pract       Date:  2017-04

5.  Changes in cognitive-motor interference during rehabilitation of cane walking in patients with subacute stroke: A pilot study.

Authors:  Hsiu-I Chen; Shu-Yi Fu; Ting-Wei Liu; Ya-Wen Hsieh; Hui-Ya Chen
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

6.  Key factors for the assessment of mobility in advanced dementia: A consensus approach.

Authors:  Karen Van Ooteghem; Kristin E Musselman; Avril Mansfield; David Gold; Meghan N Marcil; Ron Keren; Maria Carmela Tartaglia; Alastair J Flint; Andrea Iaboni
Journal:  Alzheimers Dement (N Y)       Date:  2019-08-31
  6 in total

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