Continuous glucose monitoring in para cyclists: An observational study

Figures

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  FIGURE 1. Study design. (A) Participants wore the CGM sensor for a 2‐week period (10–14 days), while logging the timing of their main meals, and kept a training log. Within the 2‐week period, three separate days were planned. On day A, participants performed a standardized exercise session and kept a detailed food record. Day B was scheduled on a rest day, during which the participants took seven capillary blood glucose samples at home and kept a detailed food record. During day C, which was scheduled on a regular training day, participants followed their normal training schedule and kept a detailed food record. (B) The standardized training of day A, consisted of (hand)biking for 70 min, starting at 60% of the functional threshold power (FTP) for 30 min, followed by 10 min at 85% FTP, 20 min at 60% FTP, a maximal sprint of 3 minutes, and a cooldown of 10 min at 50% FTP. During the standardized training, eight capillary blood glucose samples were taken by the researchers at T = 0, 10, 20, 28, 40, 50, 58, and 70.

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  FIGURE 2. Percentage of time spent in hypoglycemia (<3.9 mmol/L) and severe hypoglycemia (<2.9 mmol/L) during 24 hrs, daytime, and nighttime, in participants with and without spinal cord injury as measured with continuous glucose monitoring. Data are presented as median ± IQR.

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  FIGURE 3. Accuracy of CGM during resting and exercise conditions. Blood glucose concentrations of corresponding CGM and capillary measurements assessed during resting conditions (A) and over the time during standardized exercise (B). (C) blood glucose concentrations during exercise are shown for hand bikers and cyclists separately. (D) and (E) represent the Bland–Altman plots of the blood glucose values measured with the CGM and finger prick method during rest (D) and during exercise (E). Data are presented as mean ± SD.