Relationship Between Lower Extremity Alignment, Adductor Longus Muscle Architecture and Anaerobic Power Parameters in Adolescent Football Players

<i>Purpose:</i> To examine the relationship between the frontal plane alignment of the lower extremity, adductor longus muscle architecture (cross-sectional area and thickness), and anaerobic power capacity. <i>Methods:</i> Football players aged 14-16 joined the study and were evaluated for lower extremity alignment in the frontal plane radiographs. We examined adductor longus muscle thickness and cross-sectional area on both sides with ultrasound. To evaluate anaerobic power capacity, we did a 30-second Wingate test. Correlation analysis and multiple regression analysis were performed. <i>Results:</i> 27 football players were enrolled in the study. The anatomical axis angle of the right side was 2.85 ± 1.75, and left side was 2.67 ± 1.62. A positive and strong correlation was found between both side muscle cross-sectional area and maximum and average power (right: <i>r</i> = 0.829, <i>p</i> < 0.001; <i>r</i> = 0.851, <i>p</i> < 0.001, left: <i>r</i> = 0.742, <i>p</i> < 0.001; <i>r</i> = 0.789, <i>p</i> < 0.001, respectively), and the right and left muscle thickness and the maximum and average power (right: <i>r</i> = 0.678, <i>p</i> < 0.001; <i>r</i> = 0.717, <i>p</i> < 0.001, left: <i>r</i> = 0.714, <i>p</i> < 0.001; <i>r</i> = 0.741, <i>p</i> < 0.001, respectively). The multiple regression analysis found that average power could be assessed with right and left axis angles, right muscle cross-sectional area, age, body mass index, and career duration. The analysis showed that these variables accounted for 80.3% of the variability in the average power (<i>F</i> (6,20) =13.558, <i>p</i> < 0.001). Same independent variables could explain 77.6% of the variability in the maximum power (<i>F</i> (6,20) = 11.577, <i>p</i> < 0.001). <i>Conclusions:</i> Muscle thickness and cross-sectional area strongly correlate with average and maximum power. The cross-sectional area and lower extremity alignment angle in the dominant leg could be used to estimate anaerobic power outputs.

Authors

Institutions

Publication Details

Journal
Acta of Bioengineering and Biomechanics
Published
2025-09-03
DOI
https://doi.org/10.37190/abb/209793
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship Between Lower Extremity Alignment, Adductor Longus Muscle Architecture and Anaerobic Power Parameters in Adolescent Football Players

Erdinç Genç, Gökhan Metin, Alev Alp, Sergen Devran
Acta of Bioengineering and Biomechanics
Sports Performance and Training
article

Relationship Between Lower Extremity Alignment, Adductor Longus Muscle Architecture and Anaerobic Power Parameters in Adolescent Football Players

Erdinç Genç, Gökhan Metin, Alev Alp, Sergen Devran
article en

Abstract

<i>Purpose:</i> To examine the relationship between the frontal plane alignment of the lower extremity, adductor longus muscle architecture (cross-sectional area and thickness), and anaerobic power capacity. <i>Methods:</i> Football players aged 14-16 joined the study and were evaluated for lower extremity alignment in the frontal plane radiographs. We examined adductor longus muscle thickness and cross-sectional area on both sides with ultrasound. To evaluate anaerobic power capacity, we did a 30-second Wingate test. Correlation analysis and multiple regression analysis were performed. <i>Results:</i> 27 football players were enrolled in the study. The anatomical axis angle of the right side was 2.85 ± 1.75, and left side was 2.67 ± 1.62. A positive and strong correlation was found between both side muscle cross-sectional area and maximum and average power (right: <i>r</i> = 0.829, <i>p</i> < 0.001; <i>r</i> = 0.851, <i>p</i> < 0.001, left: <i>r</i> = 0.742, <i>p</i> < 0.001; <i>r</i> = 0.789, <i>p</i> < 0.001, respectively), and the right and left muscle thickness and the maximum and average power (right: <i>r</i> = 0.678, <i>p</i> < 0.001; <i>r</i> = 0.717, <i>p</i> < 0.001, left: <i>r</i> = 0.714, <i>p</i> < 0.001; <i>r</i> = 0.741, <i>p</i> < 0.001, respectively). The multiple regression analysis found that average power could be assessed with right and left axis angles, right muscle cross-sectional area, age, body mass index, and career duration. The analysis showed that these variables accounted for 80.3% of the variability in the average power (<i>F</i> (6,20) =13.558, <i>p</i> < 0.001). Same independent variables could explain 77.6% of the variability in the maximum power (<i>F</i> (6,20) = 11.577, <i>p</i> < 0.001). <i>Conclusions:</i> Muscle thickness and cross-sectional area strongly correlate with average and maximum power. The cross-sectional area and lower extremity alignment angle in the dominant leg could be used to estimate anaerobic power outputs.

Acta of Bioengineering and BiomechanicsVol. 27(3)
Istanbul Medipol University (TR), Npistanbul Brain Hospital (TR), Kahramanmaraş Sütçü İmam University (TR)
Openalex Percentile: Top 70%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.