MSR122 Relationship Between 3-Meter Backward Walk Test and Grip Strength Test in Community-Dwelling Young-Older Adults

Mbada, C ORCID: https://orcid.org/0000-0003-3666-7432, Ozaveshe, A, Niyi-Odumosu, F, Gebrye, T ORCID: https://orcid.org/0000-0001-7976-2013, Faronbi, J, Apeagyei, P, Lawoe, J and Fatoye, F ORCID: https://orcid.org/0000-0002-3502-3953 (2023) MSR122 Relationship Between 3-Meter Backward Walk Test and Grip Strength Test in Community-Dwelling Young-Older Adults. In: ISPOR Europe 2023, 11 November 2023 - 15 November 2023, Bella Center Copenhagen, Copenhagen, Denmark.

Published Version File not available for download. Available under License In Copyright. Download (326kB)

Abstract

Objectives The 3-meter backward walk test (3-MBWT) is an important assessment tool used in evaluating neuromuscular control, proprioception, risk of fall and balance. On the other hand, the hand grip strength (HGS) test primarily is used to measure muscular strength or maximum tension generated by one’s forearm muscles. This study aimed to assess the relationship between 3-MBWT and HGS among community dwelling young-older adults. Methods Community-dwelling older adults participated in this study. 3-MBWT was measured using: a meter rule, to measure 3 meters on the ground, paper tape to mark out landmarks and a stopwatch to measure the time taken to complete the test. HGS was measured in line with the guideline of the American Society of Hand Therapists. Anthropometric variables were assessed following standard procedures. Descriptive statistics of mean and standard deviation were used to summarize data. Pearson’s correlation coefficient was used to verify the correlation between 3-MBWT and HGS test, as well as the influence of socio-demographic factors on both 3-MBWT and HGS. Alpha level was set at 0.05. Results Sixty-two participants with the mean age of 67.73 ± 1.96 years took part in the study. The mean values for 3-MBWT and HGS were 3.45 ± 0.80s and 29.58 ± 15.53kg, respectively. There was a significant correlation between 3-MBWT and HGS (r=-0.39; p = 0.002). However, there was no significant correlation between 3-MBWT and socio-demographic characteristics (p > 0.05). Similarly, there was no significant correlation between HGS and socio-demographic characteristics (p>0.05) except height and gender (p<0.05). Conclusions The 3-MBWT and HGS were significantly correlated with one another. Anthropometric characteristics did not influence the 3-MBWT. On the other hand, only height and gender showed a significant influence on HGS. Therefore, both 3-MBWT and HGS may serve as useful functional outcome measures for fall predictability and frailty in older adults.