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青少年女足运动员左心室质量的缩放。

Scaling left ventricular mass in adolescent female soccer players.

机构信息

Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal.

CIDAF (uid/dtp/04213/2020), University of Coimbra, Estadio Universitario, Pavilhao III, Coimbra, Portugal.

出版信息

BMC Pediatr. 2020 Apr 13;20(1):157. doi: 10.1186/s12887-020-02043-7.

DOI:10.1186/s12887-020-02043-7
PMID:32284059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7153237/
Abstract

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 (R = 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; R = 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.

摘要

背景

本研究旨在探讨在女性青少年足球运动员中,个体左心室质量(LVM)的个体差异与实际年龄(CA)、骨骼成熟度、训练经验以及同期身体大小描述符之间的关系。

方法

该样本包括 228 名 11.8-17.1 岁的女性足球运动员。通过访谈获得了训练经验,定义为参与竞技足球的年限(范围为 2-9 年)。测量了身高、体重和皮褶(三头肌、内侧小腿)。估计了体脂量,得出了去脂体重。通过超声心动图评估了 LVM。骨骼成熟度是骨骼年龄(Fels 法)与实际年龄的差值。

结果

去脂体重是 LVM 的最主要单一预测指标(R=36.6%)。它与接近线性的幂指数相关(k=0.924,95%CI:0.737 至 1.112)。还获得了包含体重、去脂体重、CA、训练经验和骨骼成熟度的显著乘法幂指数模型(R=0.684;R=46.2%)。

结论

身高作为 LVM 的有效大小描述符存在局限性。体重、去脂体重、训练经验、CA、体重和骨骼成熟度是导致 LVM 个体差异的相关因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/994b6f717a07/12887_2020_2043_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/09eba4dc11c8/12887_2020_2043_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/51506a804816/12887_2020_2043_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/994b6f717a07/12887_2020_2043_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/09eba4dc11c8/12887_2020_2043_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/51506a804816/12887_2020_2043_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12ac/7153237/994b6f717a07/12887_2020_2043_Fig3_HTML.jpg

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