Lower-Limb Dominance, Performance, and Fiber Type in Resistance-trained Men

Med Sci Sports Exerc. 2018 May;50(5):1054-1060. doi: 10.1249/MSS.0000000000001533.

Abstract

Introduction: Large imbalances between limbs are common and potentially dangerous, yet few studies have simultaneously examined performance and physiological asymmetries. The current study examined the associations between lower-limb dominance, drop-jumping kinematics, maximal strength, and myosin heavy-chain (MHC) fiber type in the vastus lateralis.

Methods: Thirteen resistance-trained men (age, 24.3 ± 2.7 yr; height, 181.4 ± 6.6 cm; mass, 87.7 ± 11.3 kg) identified their dominant (DOM) and nondominant (ND) limb, performed drop jumps (30 cm) and maximal knee extensions (1-repetition maximum, or 1RM), and provided biopsies from both vastus lateralis muscles for single-fiber (109 ± 36 per limb per person) MHC fiber-type identification (FT%).

Results: All participants selected "right" as the "preferred kicking limb" (DOM). DOM displayed a trend for a greater eccentric knee angular velocity (EKV; P = 0.083) and a significantly greater concentric knee angular velocity (CKVl P = 0.002) during drop jump. DOM also tended to be stronger than ND (64.3 ± 11.3 vs 61.0 ± 8.8 kg, P = 0.063). Slow-twitch (MHC I) fibers were more prevalent in DOM (P < 0.025), whereas ND contained more fast-twitch (MHC IIa; P < 0.025). No correlations existed between categories (jumping, 1RM, and FT%). Asymmetries of >5% were present in 6 of 12 participants for EKV, 2 of 12 for CKV, 6 of 13 for 1RM, 12 of 13 for MHC I, and 11 of 13 for MHC IIa. However, only a single participant expressed asymmetries of >5% in all dependent variables (EKV, CKV, 1RM, MHC I, and MHC IIa).

Conclusions: Several statistically and clinically relevant asymmetries were identified. The FT% differences between lower limbs were large and common. The findings also seem to conclude that DOM was stronger, moved faster, and contained more MHC I. However, only 23% of participants actually displayed that result. This highlights the need to analyze and report both group and individual data, particularly when interpreting findings across multiple related, but not necessarily causal, measurements.

MeSH terms

  • Adult
  • Biomechanical Phenomena
  • Biopsy
  • Exercise Test
  • Functional Laterality*
  • Humans
  • Lower Extremity / physiology*
  • Male
  • Muscle Strength
  • Muscle, Skeletal / physiology*
  • Myosin Heavy Chains / physiology*
  • Young Adult

Substances

  • Myosin Heavy Chains