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生物电阻抗向量分析(BIVA)评估水合状态:耐力和力量型大学生运动员的比较。

Bioelectrical Impedance Vector Analysis (BIVA) for Assessment of Hydration Status: A Comparison between Endurance and Strength University Athletes.

机构信息

Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut 1107 2020, Lebanon.

School of Engineering and Architecture of Fribourg, University of Applied Sciences of Western Switzerland, 1700 Fribourg, Switzerland.

出版信息

Sensors (Basel). 2024 Sep 18;24(18):6024. doi: 10.3390/s24186024.

Abstract

INTRODUCTION

Athletic performance is greatly impacted by hydration status. The combination of several techniques is recommended to accurately measure water losses and gains.

AIM

The aim of this study is to assess the validity of bioelectrical impedance vector analysis (BIVA) as a tool for measuring hydration status in endurance and strength athletes.

METHODS

A total of 148 athletes were evaluated on one experimental day, pre- and post-training. Urine samples were collected and analyzed for color and specific gravity. Body weight changes were measured, sweat rate was calculated, and BIVA was performed. Reference ellipses were plotted using data of 200 healthy non-athletic individuals.

RESULTS

A moderate significant agreement was noted between raw bioelectrical values and urine specific gravity (USG) ( > 0.05). The sensitivity of classic BIVA in detecting minor changes in hydration status is confirmed both graphically and statistically. R/h and Z statistically significantly decreased post-training. Male athletes exhibited a specific BIA vector distribution compared to the reference population and were slightly more hydrated than female athletes.

CONCLUSIONS

BIVA validation may be an essential step to allow its use among university students to assess dehydration in a non-invasive, practical, and inexpensive way.

摘要

简介

运动表现受身体水分状态影响较大。建议结合多种技术来准确测量水分的流失和补充。

目的

本研究旨在评估生物电阻抗向量分析(BIVA)作为测量耐力和力量运动员身体水分状态的工具的有效性。

方法

共 148 名运动员在一次实验日进行了评估,分别在训练前和训练后进行。收集尿液样本并进行颜色和比重分析。测量体重变化,计算出汗率,并进行 BIVA 分析。使用 200 名健康非运动员的数据绘制参考椭圆。

结果

原始生物电阻值与尿比重(USG)之间存在中度显著一致性( > 0.05)。经典 BIVA 在图形和统计上均证实了其检测水分状态微小变化的灵敏度。训练后 R/h 和 Z 值统计上显著降低。与参考人群相比,男性运动员的 BIA 向量分布具有特异性,并且比女性运动员稍微更具水分。

结论

BIVA 验证可能是在大学生中使用该方法以非侵入性、实用且廉价的方式评估脱水的重要步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b2/11435641/f2e6bfc5112d/sensors-24-06024-g002.jpg

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