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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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The Biomechanical Fallacy of Maximal Abduction: Why "Knees Out" Induces Lateral Compartment Pathology and Reduces Squat Depth

Authors: Mehta, Neeraj; Jain, Karun; March, Santa; M, Pankaj;

The Biomechanical Fallacy of Maximal Abduction: Why "Knees Out" Induces Lateral Compartment Pathology and Reduces Squat Depth

Abstract

For over a decade, the cue "knees out" (maximal hip abduction and external rotation) has been the dominant corrective strategy to prevent dynamic knee valgus. However, emerging data suggests this cue has resulted in an industry-wide overcorrection. From 2023 to 2025, MMSx Authority analyzed 870 subjects using the MMSx-SCAN™ protocol. The data indicates that forced excessive abduction creates pathological varus torque, lateral patellofemoral compression, and a loss of foot stability. This position paper presents evidence that while preventing valgus is critical, the "knees out" strategy reduces squat depth by an average of 6.4 cm and increases joint reaction forces in 87% of lifters. We introduce the Biomechanical Power Integration Technique (BPIT) and the "5-Line Principle" as the new Gold Standard for neutral tracking, demonstrating a restoration of depth and reduction in pain markers across the study cohort. Keywords: Dynamic Knee Valgus, Pathological Varus, Patellofemoral Pain, Squat Biomechanics, BPIT Principle, MMSx-SCAN.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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