Bonilla Diego A, De León Lidia G, Alexander-Cortez Pedro, Odriozola-Martínez Adrián, Herrera-Amante Carlos A, Vargas-Molina Salvador, Petro Jorge L
Research Division, DBSS International, Colombia.
Research Group in Biochemistry and Molecular Biology, Universidad Distrital Francisco José de Caldas, Colombia.
Nutr Health. 2022 Mar;28(1):95-109. doi: 10.1177/02601060211002941. Epub 2021 Apr 1.
Kinanthropometry offers to exercise and health professionals a standardized procedure of acquiring surface anatomical measurements that might be used to track changes in body composition.
To describe simple anthropometric indices to monitor body composition changes in amateur and elite athletes, and to provide reference values during the competition phase.
A search of articles indexed in PubMed/MEDLINE, ScienceDirect, Cochrane, and SciELO databases using the string . Inclusion criteria were: quantitative and/or qualitative research published between 2009 and 2020, written in English or Spanish, reporting simple anthropometric indices that included skinfolds, girths, or basic measures in amateur and elite athletes.
A total of 51 studies (Price's index = 66.4%) met all the inclusion criteria and were included in this scoping review. Contrary to the frequent practice, the use of a regression equation might not be accurate to evaluate body composition. To avoid this, anthropometrists should base their analysis on the absolute values of the sum of skinfolds (∑S) and related variables, such as skinfold-corrected girths and lean mass index. While not definitive, because further research is required, the practical recommendations and updated reference values in competition phase provided by this review would contribute to the accurate identification of body composition changes.
∑S and lean mass index have been shown to be valid for monitoring changes in fat mass and fat-free mass, respectively. More research is needed to derive the lean mass index-specific coefficient for each sports population.
人体测量学为运动和健康专业人员提供了一种获取体表解剖学测量值的标准化程序，这些测量值可用于追踪身体成分的变化。
描述简单的人体测量指标，以监测业余和精英运动员身体成分的变化，并提供比赛阶段的参考值。
使用检索词在PubMed/MEDLINE、ScienceDirect、Cochrane和SciELO数据库中检索文章。纳入标准为：2009年至2020年间发表的定量和/或定性研究，用英语或西班牙语撰写，报告了业余和精英运动员的简单人体测量指标，包括皮褶厚度、围度或基本测量值。
共有51项研究（普赖斯指数=66.4%）符合所有纳入标准，并被纳入本范围综述。与常见做法相反，使用回归方程可能无法准确评估身体成分。为避免这种情况，人体测量学家应基于皮褶厚度总和（∑S）的绝对值以及相关变量进行分析，如经皮褶厚度校正的围度和瘦体重指数。虽然并非决定性的，因为还需要进一步研究，但本综述提供的比赛阶段实用建议和更新的参考值将有助于准确识别身体成分的变化。
已证明∑S和瘦体重指数分别对监测脂肪量和去脂体重的变化有效。需要更多研究来得出每个运动人群的瘦体重指数特定系数。
