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. 2025 Jun;34(6):2377-2386.
doi: 10.1007/s00586-025-08730-2. Epub 2025 Mar 20.

Sex-based differences in biomechanical function for chronic low back pain and how it relates to pain experience

Collaborators, Affiliations

Sex-based differences in biomechanical function for chronic low back pain and how it relates to pain experience

Erin Archibeck et al. Eur Spine J. 2025 Jun.

Abstract

Purpose: The relationship between pain experience and biomechanical impairment in chronic low back pain (LBP) is unclear. Among the broader pain literature, sex-based differences in pain experience have been established. However, it is unknown if sex-based differences in pain experience relates to compromised movement patterns for patients with chronic LBP. This study examined sex differences and whether there are sex-based associations between pain experience and biomechanical function in patients with chronic LBP.

Methods: To capture the biomechanical variability among LBP patients, we quantified full-body movement quality based on the extent that 3D postural trajectories deviated from matched controls during a sit-to-stand task (Kinematic Composite Score, K-Score). For both males and females, the K-Score was compared to pain measures, including patient-reported metrics and quantitative sensory testing (pressure pain threshold, PPT).

Results: There were significant sex-based differences in pain experience and biomechanical function in patients with LBP. Specifically, males exhibited ~ 8% lower trunk K-Scores, indicating biomechanical function that deviated more from controls when compared to female participants (p < 0.001). However, females exhibited PPT values 29% and 41% lower than males at the control and pain sites, respectively (p < 0.0001). There was a weak but significant negative association between PPT and K-Scores for males (R2 = 0.14, p < 0.01), while females lacked an association.

Conclusion: Overall, males with LBP exhibited worse movement quality, driven by trunk motion, but higher PPTs. Possible explanations include reduced interoceptive awareness or increased kinesiophobia in males, which may influence movement patterns. This research is an initial step in uncovering the complex relationship between patient-specific factors influencing LBP disability, laying the groundwork for further exploration, and paving the way for improving outcomes with patient-specific treatments.

Keywords: Biomechanics; Chronic low back pain; Composite score; Kinematics; Motion analysis; Motion capture; Pain experience; Quantitative sensory testing.

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Conflict of interest statement

Declarations. Conflict of interest: RPM receives royalties from the University of California Regents for technology disclosures related to depth cameras. JFB has stock options with Bioniks, Limited Liability Company. GDO has received compensation as a member of the scientific advisory board of AT Dev Inc. and owns stock in the company. All other authors do not have any competing interest to declare.

Figures

Fig. 1
Fig. 1
Schematic of the motion capture and metric methodology: a STS transition period, b Kinect torso (dark yellow) and lower extremity (light yellow) landmarks, and c Kinematic Profile (K-Profile) and Kinematic Composite Score (K-Score)
Fig. 2
Fig. 2
Patient-reported pain outcomes for a pain anxiety scores (PASS-20), and b pain interference (PROMIS-PI) for patients with LBP. No statistical differences were observed (p > 0.25)
Fig. 3
Fig. 3
Mechanical quantitative sensory testing for patients with LBP. *represents p < 0.0001 between LBP-F and LBP-M
Fig. 4
Fig. 4
a K-Profile for repetition 2, and b K-scores for repetitions 2–5. *represents p < 0.005 between LBP-M and LBP-F
Fig. 5
Fig. 5
Torso K-Scores (tK-Scores) and lower extremity K-Scores (leK-Scores). + represents p < 0.01 between leK-Scores and tK-Scores within the same group, and *represents p < 0.001 between LBP-F and LBP-M
Fig. 6
Fig. 6
Multiple regression models for averaged tK-Scores and ranked PPT: a all LBP data (R2 = 0.14, p < 0.01), b LBP-F (R2 = 0.05, p = 0.29), and c LBP-M (R2 = 0.13, p = 0.02)

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