Movement Analysis Could Help in the Assessment of Chronic Low Back Pain Patients: Results from a Preliminary Explorative Study

Stefano Negrini, Joel Pollet, Giorgia Ranica, Sabrina Donzelli, Massimiliano Vanossi, Barbara Piovanelli, Cinzia Amici and Riccardo Buraschi
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Stefano Negrini: Department of Biomedical, Surgical and Dental Sciences, University of Milan “La Statale”, 20122 Milan, Italy
Joel Pollet: IRCCS (Fondazione Don Carlo Gnocchi), 20148 Milan, Italy
Giorgia Ranica: IRCCS (Fondazione Don Carlo Gnocchi), 20148 Milan, Italy
Sabrina Donzelli: ISICO (Italian Scientific Spine Institute), 20141 Milan, Italy
Massimiliano Vanossi: ISICO (Italian Scientific Spine Institute), 20141 Milan, Italy
Barbara Piovanelli: Physiotherapy Clinic, 89069 San Lorenzo, Italy
Cinzia Amici: Department of Mechanical and Industrial Engineering, University of Brescia, 25123 Brescia, Italy
Riccardo Buraschi: IRCCS (Fondazione Don Carlo Gnocchi), 20148 Milan, Italy

IJERPH, 2022, vol. 19, issue 15, 1-20

Abstract: Introduction : This study aimed to assess the reliability of a qualitative scoring system based on the movement analysis of the spine in different populations and after usual care rehabilitative intervention. If proven true, the results could further future research development in quantitative indexes, leading to a possible subclassification of chronic low back pain (cLBP). Methods : This was a preliminary exploratory observational study. Data of an optoelectronic spine movement analysis from a pathological population (cLBP population, 5 male, 5 female, age 58 ± 16 years) were compared to young healthy participants (5M, 5F, age 22 ± 1) and were analysed via a new qualitative score of the pattern of movement. Internal consistency was calculated. Two independent assessors (experienced and inexperienced) assessed the blinded data, and we calculated inter- and intrarater reliability. We performed an analysis for cLBP pre and post a ten session group rehabilitation program between and within groups. Results : Internal consistency was good for all movements (α = 0.84–0.88). Intra-rater reliability (Intraclass correlation coefficient–ICC) was excellent for overall scores of all movements (ICC (1,k) = 0.95–0.99), while inter-rater reliability was poor to moderate (ICC (1,k) = 0.39–0.78). We found a significant difference in the total movement scores between cLBP and healthy participants ( p = 0.001). Within-group comparison (cLBP) showed no significant difference in the total movement score in pre and post-treatment. Conclusion : The perception of differences between normal and pathological movements has been confirmed through the proposed scoring system, which proved to be able to distinguish different populations. This study has many limitations, but these results show that movement analysis could be a useful tool and open the door to quantifying the identified parameters through future studies.

Keywords: chronic low back pain; spine; movement analysis; patient outcome assessment; movement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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