Augustine Aluko, Lorraine DeSouza, Janet Peacock Aims: The aim of this study was to investigate trunk acceleration as a measure of performance in both healthy individuals and those with low back pain (LBP). The study explored the difference in behaviour of trunk acceleration during flexion-extension movements between these two groups. This study investigated the test-retest reliability of the Lumbar Motion Monitor (LMM) using a single task protocol. Methods: Trunk acceleration of a group of healthy participants (M = 5, F = 5) and a group of participants with LBP (M = 4, F = 6) was evaluated using the LMM. Two sets of measurements were obtained from participants performing trunk flexion-extension movements for 8 seconds. Each participant had a 10 minute rest period between measures. Data were analysed using a two-way mixed model for an intra-class correlation (ICC) analysis to investigate the reliability of the measure, and a Bland-Altman graph was used to demonstrate the levels of agreement between those repeated measures. Results: The LBP group of participants demonstrated a slower three dimensional performance than the healthy group. The ICC for average sagittal acceleration (0.96, 95% confidence interval (CI) 0.90-0.98) and peak sagittal acceleration (0.89, 95% CI 0.75-0.96) with a 95% limit of agreement for the repeated measures of between -100.64 and +59.84 degrees/s2 demonstrates the reliability of the measure. The higher ICC and its narrow confidence interval suggest that average rather than peak acceleration is more reliable. Within group measures for both the healthy and LBP groups demonstrated similar reliability for average acceleration (ICC 0.98, 95% CI 0.92-0.99) and for peak acceleration (healthy group ICC 0.94, CI 0.76-0.99; LBP group ICC 0.92, 95% CI 0.67-0.98). Conclusions: Low back pain may reduce trunk acceleration. The LMM may be used to measure trunk acceleration as a descriptor of trunk performance in response to an onset of LBP. However, the Bland-Altman limits suggest that its reliability is dependent upon the harness upon which the LMM is secured remaining in a fixed position.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.