Accuracy of a continuous glucose monitoring system applied before, during, and after an intense leg-squat session with low- and high-carbohydrate availability in young adults without diabetes.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-12-01 Epub Date: 2024-07-22 DOI:10.1007/s00421-024-05557-5
Manuel Matzka, Niels Ørtenblad, Mascha Lenk, Billy Sperlich
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Abstract

Purpose: The aim was to assess the accuracy of a continuous blood glucose monitoring (CGM) device (Abbott FreeStyle Libre 3) against capillary blood glucose measurement (BGM) before, during, and after an intense lower body strength training session in connection with high- versus low-carbohydrate breakfasts.

Methods: Nine adults (22 ± 2 years) completed a strength training session (10 × 10 at 60% 1RM) twice after high-carbohydrate and twice after low-carbohydrate breakfasts. CGM accuracy versus BGM was assessed across four phases: post-breakfast, pre-exercise, exercise, and post-exercise.

Results: Overall fed state mean BGM levels were 84.4 ± 20.6 mg/dL. Group-level Bland-Altman analysis showed acceptable agreement between CGM and BGM across all phases, with mean biases between - 7.95 and - 17.83 mg/dL; the largest discrepancy was in the post-exercise phase. Mean absolute relative difference was significantly higher post-exercise compared to pre-exercise and exercise phases, for overall data and after the high-carbohydrate breakfast (all p ≤ 0.02). Clark Error Grid analysis showed 50.5-64.3% in Zone A and 31.7-44.6% in Zone B, with an increase in treatment errors during and after exercise.

Conclusion: In this group of healthy participants undergoing strength training, CGM showed satisfactory accuracy in glucose monitoring but varied substantially between individuals compared to BGM and fails in meeting clinical criteria for diabetic monitoring. CGM could aid non-diabetic athletes by tracking glucose fluctuations due to diet and exercise. Although utilization of CGM shows potential in gathering, analyzing, and interpreting interstitial glucose for improving performance, the application in sports nutrition is not yet validated, and challenges in data interpretation could limit its adoption.

Abstract Image

连续血糖监测系统在无糖尿病的年轻人进行高低碳水化合物高强度深蹲训练之前、期间和之后的准确性。
目的:该研究旨在评估连续血糖监测(CGM)设备(雅培 FreeStyle Libre 3)与毛细血管血糖测量(BGM)在高碳水化合物和低碳水化合物早餐前后和期间的准确性:九名成年人(22 ± 2 岁)分别在高碳水化合物和低碳水化合物早餐后完成了两次力量训练(10 × 10,60% 1RM)。在早餐后、运动前、运动和运动后四个阶段对 CGM 的准确性与 BGM 进行了评估:结果:总体进食状态下的平均血糖仪水平为 84.4 ± 20.6 mg/dL。组级 Bland-Altman 分析显示,CGM 和 BGM 在所有阶段的一致性均可接受,平均偏差介于 - 7.95 和 - 17.83 毫克/分升之间;运动后阶段的差异最大。就整体数据和高碳水化合物早餐后的数据而言,运动后的平均绝对相对差异明显高于运动前和运动阶段(所有 p 均小于 0.02)。克拉克误差网格分析显示,A区为50.5-64.3%,B区为31.7-44.6%,运动中和运动后的治疗误差有所增加:结论:在这组进行力量训练的健康参与者中,CGM 显示出令人满意的血糖监测准确性,但与 BGM 相比,个体之间的差异很大,且未能达到糖尿病监测的临床标准。CGM 可以通过跟踪饮食和运动引起的血糖波动来帮助非糖尿病运动员。虽然 CGM 的使用显示了在收集、分析和解释间质葡萄糖以提高运动表现方面的潜力,但其在运动营养方面的应用尚未得到验证,数据解释方面的挑战可能会限制其应用。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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