The influence of BMI on movement competency screening errors among moderately active males
DOI:
https://doi.org/10.47197/retos.v71.116377Keywords:
Body Mass Index (BMI), lunges and twist, movement competency screening (MCS), moderately-active, push-up, single-leg squat, injuryAbstract
Introduction: The Movement Competency Screening (MCS) is a validated tool designed to assess movement quality and inform individualized exercise regimens.
Objective: This study investigates how BMI impacts MCS assessment outcomes among moderately active male population and identifies the anatomical regions of movement deficiencies as assessed by the MCS among moderately active males.
Methodology: This cross-sectional study adapted the MCS 100-point criteria to evaluate injury risk in moderately active males (n = 30, aged 19–49 years), focusing on three movements: lunges and twists, push-ups, and single-leg squats.
Results: Results revealed high upper-body competency, with push-ups demonstrating a 95.9% accuracy rate. However, significant deficits emerged in lower-body and core stability: single-leg squat depth accuracy was critically low (20.0%), while lunges and twists showed poor knee alignment (46.7%). Notably, Mann-Whitney U tests identified BMI-driven disparities: overweight subjects (BMI ≥25 kg/m²) exhibited higher lumbar instability (42.9% vs. 6.3%, p = .017) and balance errors (42.9% vs. 6.3%, p = .017), whereas normal BMI individuals committed more knee misalignment errors during lunges (75.0% vs. 28.6%, p = .010). Lumbar competency was moderate overall (60–80% accuracy), underscoring core stability challenges.
Discussion: While the MCS effectively identified biomechanical inefficiencies, the inverse relationship between BMI and knee errors suggests that standardized scoring may misclassify body composition-driven adaptations as dysfunction. These findings advocate for BMI-adjusted MCS protocols to enhance diagnostic accuracy in non-athletic populations.
Conclusions: The study underscores the utility of MCS in moderately active demographics but highlights the necessity of refining screening criteria to account for anthropometric variability.
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