Lumbar Multifidus Characteristics in University Level Athletes May be Predictors of Low Back Pain and Lower Limb Injury

Author:

Anstruther Meagan1,Valentin Stephanie2,Dover Geoffrey1,Fortin Maryse1

Affiliation:

1. Concordia University

2. Edinburgh Napier University

Abstract

Abstract Background Low back pain (LBP) is highly prevalent in athletes, with lumbar multifidus (LM) atrophy and increased LM cross-sectional area (CSA) reported in athletes with LBP. Decreased LM CSA and thickness have also been previously associated with lower limb injury (LLI) in athletes. Yet, previous research has only investigated connections between LM, LBP, and LLI in small samples of athletes in a single sport at a time. The current study aimed to (1) examine LM morphology and function across a general sample of male and female university level varsity athletes; (2) investigate whether LM characteristics were predictors of LBP and LLI. Methods Exclusion criteria included previous severe spinal trauma or spinal fracture, spinal surgery, observable spinal abnormalities, and pregnancy. Ultrasound images of LM at L5 were acquired in prone and standing. Body composition was assessed with DEXA and a self-reported questionnaire provided demographics and history of injury. Paired t-tests and independent t-tests compared LM measurements between the sides and sex, respectively. Univariate and multivariate logistic regression analyses were used to assess if LM characteristics were predictors of LBP and LLI. Results 134 university varsity athletes (mean age, 21.0 ± 1.5, 84 male) were evaluated. LM CSA was larger on the non-dominant side in both males (non-dominant, 10.54 ± 1.55, dominant, 10.34 ± 1.58, p < 0.05) and females (non-dominant, 8.26 ± 1.32, dominant, 8.11 ± 1.33, p < 0.05) in prone. Increased LM thickness was associated with decreased odds of LBP in the previous 4-week (OR = 0.49 [0.27, 0.88], p = 0.02) and 3-month (OR = 0.43 [0.21, 0.89], p = 0.02) in the multivariable model, while a greater number of years playing at the university level was associated with increased odds of LBP (OR = 1.29 [1.01, 1.65], p = 0.04). Greater LM CSA asymmetry (OR = 1.14 [1.01, 1.28], p = 0.03) and sport (OR = 1.44 [1.04, 1.96], p = 0.02) were significant predictors of LLI in the previous 12 months. Conclusion Leg dominance may play a role in unilateral differences. LM thickness and LM CSA asymmetry were predictors of injury. Preseason screening of LM morphology and function could help identify athletes at risk of LBP and LLI. This could allow coaches, medical staff, and strength and conditioning staff to target these individuals and provide specific injury prevention programs.

Publisher

Research Square Platform LLC

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