Anatomical and neuromuscular variables strongly predict maximum knee extension torque in healthy men
Research output: Journal contributions › Journal articles › Research › peer-review
Standard
In: European Journal of Applied Physiology, Vol. 116, No. 6, 01.06.2016, p. 1159-1177.
Research output: Journal contributions › Journal articles › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Anatomical and neuromuscular variables strongly predict maximum knee extension torque in healthy men
AU - Trezise, J.
AU - Collier, N.
AU - Blazevich, A. J.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Purpose: This study examined the relative influence of anatomical and neuromuscular variables on maximal isometric and concentric knee extensor torque and provided a comparative dataset for healthy young males. Methods: Quadriceps cross-sectional area (CSA) and fascicle length (lf) and angle (θf) from the four quadriceps components; agonist (EMG:M) and antagonist muscle activity, and percent voluntary activation (%VA); patellar tendon moment arm distance (MA) and maximal voluntary isometric and concentric (60° s−1) torques, were measured in 56 men. Linear regression models predicting maximum torque were ranked using Akaike’s Information Criterion (AICc), and Pearson’s correlation coefficients assessed relationships between variables. Results: The best-fit models explained up to 72 % of the variance in maximal voluntary knee extension torque. The combination of ‘CSA + θf + EMG:M + %VA’ best predicted maximum isometric torque (R2 = 72 %, AICc weight = 0.38) and ‘CSA + θf + MA’ (R2 = 65 %, AICc weight = 0.21) best predicted maximum concentric torque. Conclusion: Proximal quadriceps CSA was included in all models rather than the traditionally used mid-muscle CSA. Fascicle angle appeared consistently in all models despite its weak correlation with maximum torque in isolation, emphasising the importance of examining interactions among variables. While muscle activity was important for torque prediction in both contraction modes, MA only strongly influenced maximal concentric torque. These models identify the main sources of inter-individual differences strongly influencing maximal knee extension torque production in healthy men. The comparative dataset allows the identification of potential variables to target (i.e. weaknesses) in individuals.
AB - Purpose: This study examined the relative influence of anatomical and neuromuscular variables on maximal isometric and concentric knee extensor torque and provided a comparative dataset for healthy young males. Methods: Quadriceps cross-sectional area (CSA) and fascicle length (lf) and angle (θf) from the four quadriceps components; agonist (EMG:M) and antagonist muscle activity, and percent voluntary activation (%VA); patellar tendon moment arm distance (MA) and maximal voluntary isometric and concentric (60° s−1) torques, were measured in 56 men. Linear regression models predicting maximum torque were ranked using Akaike’s Information Criterion (AICc), and Pearson’s correlation coefficients assessed relationships between variables. Results: The best-fit models explained up to 72 % of the variance in maximal voluntary knee extension torque. The combination of ‘CSA + θf + EMG:M + %VA’ best predicted maximum isometric torque (R2 = 72 %, AICc weight = 0.38) and ‘CSA + θf + MA’ (R2 = 65 %, AICc weight = 0.21) best predicted maximum concentric torque. Conclusion: Proximal quadriceps CSA was included in all models rather than the traditionally used mid-muscle CSA. Fascicle angle appeared consistently in all models despite its weak correlation with maximum torque in isolation, emphasising the importance of examining interactions among variables. While muscle activity was important for torque prediction in both contraction modes, MA only strongly influenced maximal concentric torque. These models identify the main sources of inter-individual differences strongly influencing maximal knee extension torque production in healthy men. The comparative dataset allows the identification of potential variables to target (i.e. weaknesses) in individuals.
KW - Cross-sectional area
KW - Fascicle angle
KW - Linear models
KW - Moment arm distance
KW - Muscle activity
KW - Strength
KW - Sustainability Science
UR - http://www.scopus.com/inward/record.url?scp=84963677412&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/55aeda64-0df1-3557-b611-fb05a8eca8fb/
U2 - 10.1007/s00421-016-3352-8
DO - 10.1007/s00421-016-3352-8
M3 - Journal articles
C2 - 27076217
AN - SCOPUS:84963677412
VL - 116
SP - 1159
EP - 1177
JO - European Journal of Applied Physiology
JF - European Journal of Applied Physiology
SN - 1439-6319
IS - 6
ER -