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Scaling left ventricular mass in adolescent female soccer players

Overview of attention for article published in BMC Pediatrics, April 2020
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Title
Scaling left ventricular mass in adolescent female soccer players
Published in
BMC Pediatrics, April 2020
DOI 10.1186/s12887-020-02043-7
Pubmed ID
Authors

Diogo V. Martinho, João Valente-dos-Santos, Manuel J. Coelho-e-Silva, Arturo O. Gutiérrez, João P. Duarte, Pedro Lourenço-Farinha, Leonardo G. O. Luz, João Gonçalves-Santos, Dalmo R. L. Machado, Neiva Leite, Jorge Conde, Joaquim M. Castanheira, Sean P. Cumming, Lauren B. Sherar, Robert M. Malina

Abstract

© 2020 The Author(s). Background: The aim of the study was to examine the contribution of chronological age (CA), skeletal maturation, training experience and concurrent body size descriptors, to inter-individual variance in left ventricular mass (LVM) among female adolescent soccer players. Methods: The sample included 228 female soccer players 11.8-17.1 years. Training experience defined as years of participation in competitive soccer (range 2-9 years), was obtained by interview. Stature, body mass and skinfolds (triceps, medial calf) were measured. Fat mass was estimated; Fat-free mass was derived. LVM was assessed by echocardiography. Skeletal maturity status was as the difference of skeletal age (SA, Fels method) minus CA. Results: Fat-free mass was the most prominent single predictor of LVM (R2 = 36.6%). It was associated with an allometric coefficient close to linearity (k = 0.924, 95%CI: 0.737 to 1.112). A significant multiplicative allometric model including body mass, fat-free mass, CA, training experience and skeletal maturity status was also obtained (R = 0.684; R2 = 46.2%). Conclusion: Stature has limitations as a valid size descriptor of LVM. Body mass, fat-free mass, training experience, CA, body mass and skeletal maturity status were relevant factors contributing to inter-individual variability in LVM.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 5 10%
Researcher 4 8%
Student > Bachelor 4 8%
Unspecified 3 6%
Other 11 22%
Unknown 15 29%
Readers by discipline Count As %
Sports and Recreations 19 37%
Nursing and Health Professions 6 12%
Unspecified 3 6%
Medicine and Dentistry 3 6%
Neuroscience 2 4%
Other 2 4%
Unknown 16 31%