ArticleJournal of strength and conditioning research2015
Muscle size, quality, and body composition: characteristics of division I cross-country runners.
Article in Journal of strength and conditioning research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Effects of Blood Flow Restriction Training on Cardiopulmonary Function and Body Composition: A Systematic Review with Meta-Analysis.Journal of human kinetics · 2026Review
- Musculoskeletal Health, Quality, and Injury Profiles in Collegiate Track and Field and Cross-Country Athletes.Journal of musculoskeletal & neuronal interactions · 2025Article
- Open-Source AI for Vastus Lateralis and Adipose Tissue Segmentation to Assess Muscle Size and Quality.Ultrasound in medicine & biology · 2025Article
- Sprint and jump performance are determined by localized BIA - an ecological study in track and field adolescent athletes.BMC sports science, medicine & rehabilitation · 2024Article
- Pelvic region bone density, soft tissue mass, and injury frequency in female professional ballet dancers and soccer athletes.Sports medicine and health science · 2021Article
- Risk of Low Energy Availability among Female and Male Elite Runners Competing at the 26th European Cross-Country Championships.Nutrients · 2021Article
- Reliability and differences in quadriceps femoris muscle morphology using ultrasonography: The effects of body position and rest time.Ultrasound (Leeds, England) · 2018Article
- Can anthropometric, body composition, and bone variables be considered risk factors for musculoskeletal injuries in Brazilian military students?BMC musculoskeletal disorders · 2018Article
- Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.Clinical nutrition (Edinburgh, Scotland) · 2017Article
- Seasonal Effects on Body Composition, Muscle Characteristics, and Performance of Collegiate Swimmers and Divers.Journal of athletic training · 2017Article
- The characterization of decellularized human skeletal muscle as a blueprint for mimetic scaffolds.Journal of materials science. Materials in medicine · 2016Article
- Body Composition and Muscle Characteristics of Division I Track and Field Athletes.Journal of strength and conditioning research · 2016Article
- Body Composition, Muscle Quality and Scoliosis in Female Collegiate Gymnasts: A Pilot Study.International journal of sports medicine · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The primary purpose of this study was to identify the relationship between muscle cross-sectional area (mCSA), echo intensity (EI), and body composition of Division I cross-country runners. The secondary purpose was to examine differences in these variables in athletes stratified based on stress-fracture (SFx) history. Thirty-six athletes were stratified based on sex and SFx history. A panoramic scan vastus lateralis was performed using a GE Logiq-e B-mode ultrasound. Echo intensity and mCSA were determined from the scan using a grayscale imaging software (ImageJ). Body composition measures were determined using dual-energy x-ray absorptiometry. For females, mCSA was significantly correlated with left leg lean mass (LM; R = 0.54) and EI (R = -0.57). Lean mass was significantly correlated with bone mineral density (BMD; R = 0.58) and bone mineral content (BMC; R = 0.56), whereas BMC was also correlated with leg LM (R = 0.72). For males, mCSA was significantly correlated with leg LM (R = 0.66), BMD (R = 0.50), and BMC (R = 0.54). Leg LM was significantly correlated with BMD (R = 0.53) and BMC (R = 0.77). Personal best times for males were significantly correlated with fat mass (R = 0.489) and %fat (R = 0.556) for the 10- and 5-km races, respectively. Female and male athletes with a history of SFx were not significantly different across any variables when compared with athletes with no history. These correlations suggest that more muscle mass may associate with higher BMD and BMC for stronger bone structure. Modifications in training strategies to include heavy resistance training and plyometrics may be advantageous for preventing risk factors associated with SFx reoccurrence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.