Gait Differences between Adults with and without Low Back Pain: A Cross-Sectional Observational Study
Abstract
Background: Low back pain (LBP) is a musculoskeletal disorder commonly associated with altered gait patterns, but little information exists on comparative specific spatiotemporal gait parameters in individuals with LBP. This gap is addressed in the present study by comparing the mean values of stride length, step length, and stride time, as well as corresponding measures of hip extension and peak knee flexion angle, using Kinovea software.
Material and Methods: This observational study was done on 200 subjects, 100 healthy (group I) and 100 LBP individuals (group II). The inclusion and exclusion criteria were used to select the study subjects. All participants underwent a gait analysis using Kinovea software, and gait parameters, including stride length, step time, and hip extension, were also measured. Statistical associations with gait parameters and the presence of LBP were analyzed.
Results: Subjects with low back pain showed significant gait alteration with decreased stride length (mean difference (MD) 32.93 cm, p=0.001), decreased step length (18.52 cm, p=0.001), and reduced hip extension (1.88°, p=0.001) with weak to moderate correlation (r=0.214-0.282). These gait impairments were independent of the body composition.
Conclusions: The research results in the identification of significant changes in the gait patterns of patients with and without low back pain, as revealed by Kinovea software, characterized by low step length, high temporal duration, and low magnitude of hip extension. These results provide quantitatively measurable differences in gait dynamics due to inter-individual differences that are observed clinically.
2. Hoy D, Brooks P, Blyth F, Buchbinder R. The epidemiology of low back pain. Best Pract Res Clin Rheumatol. 2010;24(6):769-781.
3. Koes BW, Van Tulder MW, Thomas S. Diagnosis and treatment of low back pain. BMJ. 2006;332(7555):1430-1434.
4. Walker BF, Williamson OD. Mechanical or inflammatory low back pain: What are the potential signs and symptoms? Man Ther. 2009;14(3):314-320.
5. Biyani A, Andersson GBJ. Low back pain: Pathophysiology and management. J Am Acad Orthop Surg. 2004;12(2):106-115.
6. Hoy D, Bain C, Williams G, et al. A systematic review of the global prevalence of low back pain. Arthritis Rheum. 2012;64(6):2028-2037.
7. Scholz J, Mannion RJ, Hord DE, et al. A novel tool for the assessment of pain: Validation in low back pain. PLoS Med. 2009;6(4):e1000047.
8. Hunter HH, Ugbolue UC, Sorbie GG, et al. An evaluation of temporal and club angle parameters during golf swings using low-cost video analyses packages. Sci Rep. 2022;12(1):14012.
9. Da Fonseca JL, Magini M, De Freitas TH. Laboratory gait analysis in patients with low back pain before and after a Pilates intervention. J Sport Rehabil. 2009;18(2):269-282.
10. Fernández-González P, Koutsou A, Cuesta-Gómez A, et al. Reliability of Kinovea® software and agreement with a three-dimensional motion system for gait analysis in healthy subjects. Sensors (Basel). 2020;20(11):3154.
11. Jiménez-del-Barrio S, Mingo-Gómez MT, Estébanez-de-Miguel E, et al. Adaptations in pelvis, hip and knee kinematics during gait and muscle extensibility in low back pain patients: A cross-sectional study. J Back Musculoskelet Rehabil. 2020;33(1):49-56.
12. Carvalho AR, Briani RV, Bertor WRR, Svistalski JR, Andrade A, Peyré-Tartaruga LA. Chronic low back pain and walking speed: Effects on the spatiotemporal parameters and gait variability. BrJP. 2019;2(4):342-347.
13. Liu W, Bai J. The correlation of gait and muscle activation characteristics with locomotion dysfunction grade in elderly individuals. Front Bioeng Biotechnol. 2024;12:1372757.
14. Alghadier M, Althaqib A, Aldawsari M, et al. Examining BMI-knee angle relationship in healthy young adults during stair ambulation using Kinovea® software. Eur Rev Med Pharmacol Sci. 2024;28(10):3493-3502.
15. Iijima H, Eguchi R, Aya Y, Terabe Y, Takahashi M. Compensatory gait mechanics in a person with multiple toe amputation: A single case report. Clin Case Rep. 2023;11(8):e7675.
16. Lamoth CJC, Meijer OG, Wuisman PIJM, Van Dieën JH, Levin MF, Beek PJ. Pelvis-thorax coordination in the transverse plane during walking in persons with nonspecific low back pain. Spine (Phila Pa 1976). 2002;27(4):E92-E99.
17. Lee HJ, Hwang SH, Kim DH, et al. Gait characteristics and their association with low back pain: A kinematic and kinetic analysis. Spine J. 2018;18(8):1234-1242.
18. Öberg T, Karsznia A, Öberg K. Basic gait parameters: Reference data for normal subjects, 10-79 years of age. J Rehabil Res Dev. 1993;30:210.
19. Park S, Jung JH, Lei S, Jung EY, Cho HY. 3D-printed customized arch-support insoles improve gait mechanics and ankle alignment in young adults with functional flat foot during uphill walking. Medicina (Kaunas). 2025;61(2):281.
20. Winkler EV, Lauer SK, Steigmeier-Raith SI, Zablotski Y, Mille MA. Effect of recording angle on accuracy of Kinovea-based kinematic gait analysis compared to three-dimensional motion analysis in healthy dogs: Optimal at 90° recording angle. Am J Vet Res. 2025;86(2):ajvr.24.10.0290.
21. Mangone M, Marinelli E, Santilli G, Finanore N, Agostini F, Santilli V, Bernetti A, Paoloni M, Zaami S. Gait analysis advancements: rehabilitation value and new perspectives from forensic application. European review for medical and pharmacological sciences. 2023;27(1):3-12.
| Issue | Articles in Press | |
| Section | Research Article(s) | |
| Keywords | ||
| Biomechanics; Gait analysis; Hip joint; Low back pain; Range of motion; Video recording | ||
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