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人类样本中跑步经济性缩放的异速生长指数:系统评价与荟萃分析。

Allometric exponents for scaling running economy in human samples: A systematic review and meta-analysis.

作者信息

Lee Jay, Wang Zhiwen, Chen Mingjian, Liu Siqi, Yu Qian, Hu Mingzhu, Kong Zhaowei, Nie Jinlei

机构信息

University of Macau, Macao, China.

College of Public Courses, Guangdong University of Science and Technology, Dongguan, China.

出版信息

Heliyon. 2024 May 14;10(10):e31211. doi: 10.1016/j.heliyon.2024.e31211. eCollection 2024 May 30.

Abstract

Ratio-scaled VO is the widely used method for quantifying running economy (RE). However, this method should be criticized due to its theoretical defect and curvilinear relationship indicated by the allometric scaling, although no consensus has been achieved on the generally accepted exponent b value of body weight. Therefore, this study aimed to provide a quantitative synthesis of the reported exponents used to scale VO to body weight. Six electronic databases were searched based on related terms. Inclusion criteria involved human cardiopulmonary testing data, derived exponents, and reported precision statistics. The random-effects model was applied to statistically analyze exponent b. Subgroup and meta-regression analyses were conducted to explore the potential factors contributing to variation in b values. The probability of the true exponent being below 1 in future studies was calculated. The estimated b values were all below 1 and aligned with the 3/4 power law, except for the 95 % prediction interval of the estimated fat-free body weight exponent b. A publication bias and a slightly greater I and τ statistic were also observed in the fat-free body weight study cohort. The estimated probabilities of the true body weight exponent, full body weight exponent, and fat-free body weight exponent being lower than 1 were 93.8 % (likely), 95.1 % (very likely), and 94.5 % (likely) respectively. 'Sex difference', 'age category', 'sporting background', and 'testing modality' were four potential but critical variables that impacted exponent b. Overall, allometric-scaled RE should be measured by full body weight with exponent b raised to 3/4.

摘要

比率缩放的摄氧量(VO)是用于量化跑步经济性(RE)的广泛使用的方法。然而,尽管对于体重的普遍接受的指数b值尚未达成共识,但由于其理论缺陷以及异速生长缩放所表明的曲线关系,该方法应受到批评。因此,本研究旨在对用于将VO缩放到体重的报告指数进行定量综合分析。基于相关术语搜索了六个电子数据库。纳入标准包括人体心肺测试数据、导出的指数以及报告的精度统计数据。应用随机效应模型对指数b进行统计分析。进行亚组和元回归分析以探索导致b值变化的潜在因素。计算了未来研究中真实指数低于1的概率。除了估计的去脂体重指数b的95%预测区间外,估计的b值均低于1并与3/4幂律一致。在去脂体重研究队列中还观察到发表偏倚以及略大的I和τ统计量。真实体重指数、总体重指数和去脂体重指数低于1的估计概率分别为93.8%(可能)、95.1%(很可能)和94.5%(可能)。“性别差异”、“年龄类别”、“运动背景”和“测试方式”是影响指数b的四个潜在但关键的变量。总体而言,异速生长缩放的RE应以总体重进行测量,指数b设为3/4。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43bd/11137408/e30f1731b89b/gr1.jpg

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