The effect of passive and exercise-induced dehydration on body composition using dual energy X-ray absorptiometry

IF 2.6 Q3 NUTRITION & DIETETICS
José Moncada-Jiménez , Yamileth Chacón-Araya , Elizabeth Carpio-Rivera
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引用次数: 0

Abstract

Purpose

To determine the effect of dehydration on changes in body composition using dual energy x-ray absorptiometry (DXA).

Methodology

Sixty college students completed a non-exercise control (NEC) and an exercise-induced dehydration (EID) session. Both sessions were held on a climatized control laboratory at 30 °C and a relative humidity of 70 %. Exercise was performed on a stationary bicycle for 60-min at an intensity of 65 %–75 % of the reserve heart rate. Body composition was assessed by DXA before and after the sessions and the mean body composition differences were correlated with the degree of dehydration achieved by the participants.

Results

The experimental sessions elicited dehydration in all the participants (NEC = 0.50 ± 0.51 % vs. EID = 1.11 ± 0.45 %; p ≤ 0.0001; CI95%diff = −0.75, −0.47 %). In the NEC condition, dehydration (β = 0.51, p ≤ 0.0001) and age (β = 0.22, p = 0.046) predicted the difference in trunk tissue (R2 = 0.32). Dehydration (β = 0.93, p ≤ 0.0001) and gender (β = −0.11, p = 0.013) predicted the difference in total tissue (R2 = 0.90). Dehydration predicted differences in trunk lean mass (β = 0.37, p = 0.004, R2 = 0.14), total lean mass (β = 0.36, p = 0.004, R2 = 0.13), and total trunk mass (β = 0.52, p ≤ 0.0001, R2 = 0.27). Dehydration (β = 0.95, p ≤ 0.0001) and gender (β = −0.09, p = 0.015) predicted the difference in total mass (R2 = 0.94). For the EID condition, dehydration and gender predicted the difference in total tissue (βdehydration = 0.72, p ≤ 0.0001, βgender = −0.27, p = 0.001, R2 = 0.71) and total mass (βdehydration = 0.75, p ≤ 0.0001, βgender = −0.27, p ≤ 0.0001, R2 = 0.77). Dehydration (β = 0. 32, p = 0.012) predicted differences in total lean mass (R2 = 0.10).

Conclusion

Age, gender and dehydration predicted differences in body composition scores. Technicians and researchers must control hydration status before DXA scan sessions.
用双能x线吸收仪研究被动脱水和运动脱水对身体成分的影响。
目的:采用双能x线吸收仪(DXA)测定脱水对机体成分变化的影响。方法:60名大学生完成了一个非运动控制(NEC)和一个运动引起的脱水(EID)会议。两个阶段都在气候控制实验室进行,温度为30°C,相对湿度为70%。在固定自行车上进行60分钟的运动,强度为储备心率的65%-75%。在会议前后,通过DXA评估身体成分,平均身体成分差异与参与者的脱水程度相关。结果:所有受试者均出现脱水(NEC= 0.50±0.51% vs. EID= 1.11±0.45%;P≤0.0001;95%diff= -0.75, -0.47%)。在NEC条件下,脱水(β = 0.51, p≤0.0001)和年龄(β = 0.22, p = 0.046)预测躯干组织的差异(R2 = 0.32)。脱水(β = 0.93, p≤0.0001)和性别(β = -0.11, p = 0.013)预测了总组织的差异(R2 = 0.90)。脱水预测躯干瘦质量(β = 0.37, p = 0.004, R2 = 0.14)、总瘦质量(β = 0.36, p = 0.004, R2 = 0.13)和总躯干质量(β = 0.52, p≤0.0001,R2 = 0.27)的差异。脱水(β = 0.95, p≤0.0001)和性别(β = -0.09, p = 0.015)预测总质量的差异(R2 = 0.94)。对于EID,脱水和性别预测了总组织(β脱水= 0.72,p≤0.0001,β性别= -0.27,p = 0.001, R2 = 0.71)和总质量(β脱水= 0.75,p≤0.0001,β性别= -0.27,p≤0.0001,R2 = 0.77)的差异。脱水(β = 0。32, p = 0.012)预测总瘦体重的差异(R2 = 0.10)。结论:年龄、性别和脱水程度可以预测身体成分评分的差异。技术人员和研究人员必须在DXA扫描之前控制水合状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical nutrition ESPEN
Clinical nutrition ESPEN NUTRITION & DIETETICS-
CiteScore
4.90
自引率
3.30%
发文量
512
期刊介绍: Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.
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