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Analytical approaches to account for muscle size when evaluating strength

Matthew A. Chatlaong, J. Bentley, Kealey J. Wohlgemuth, Scott J. Dankel, JP Loenneke, Matthew B. Jessee ยท European Journal of Applied Physiology ยท 2026

This methods paper examines how researchers should adjust strength measurements for muscle size, comparing simple ratio approaches (strength divided by muscle size) with regression-based techniques, using national survey data and the authors' own prior study as demonstrations. The authors highlight that ratio normalization carries hidden assumptions and complexities that can mislead if not explicitly tested, and suggest regression methods as an alternative.
Takeaway: Be skeptical of "strength per unit of muscle" numbers, since how size is statistically accounted for can change the conclusion.
Abstract (source)

Skeletal muscle strength is multifactorial. Although associated, skeletal muscle size and strength often change disproportionately following resistance training with different loading paradigms. Examining strength relative to muscle size has been used to evaluate the potential contribution of muscle growth or other factors (e.g., neural or intramuscular adaptations) that occur with strength changes. Moreover, as muscle size could explain differing strength between individuals, comparisons of strength per unit of muscle size are sometimes used to account for differences in strength related to size. Several analytical approaches can be used to account for or hold muscle size fixed when evaluating strength. Based on prior work in sports medicine and other fields, we explored the use of ratio normalization and multiple regression techniques. Data from NHANES (1999-2002) and a previous investigation from our group were used in analysis demonstrations. In synthesizing and applying recommendations from previous work, we highlight some nuances and complexities with ratio normalization that may not be readily apparent without testing assumptions.

Primary studyOpen accessResistance Training & Hypertrophy
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