Key result
Novel mHealth monitoring detects exercise-induced abnormalities in ~38% of cyclists missed by CPET.
Why the study?
Cycling is demanding and can lead to health disorders, prompting evaluation of a novel mHealth method to monitor physiological responses and detect disorders early during cycling in elite athletes.
Does a novel wearable mHealth telemetric monitoring system detect early exercise-induced physiological and cardiac disorders during field cycling in elite male athletes compared to standard laboratory pre-participation screening?
Observational (n=16)
No
Does a novel wearable mHealth telemetric monitoring system detect early exercise-induced physiological and cardiac disorders during field cycling in elite male athletes compared to standard laboratory pre-participation screening?
Real-time wearable mHealth monitoring during field cycling can unmask clinically relevant arrhythmias, hypotension, and hypoxemia in elite athletes that are not detected during standard laboratory cardiopulmonary exercise testing.
Answers are grounded in this paper and cite their sources.
May support field mHealth monitoring to detect exercise abnormalities missed by lab CPET in athletes; hypothesis-generating and requires prospective validation before adoption.
Background: Cycling is a very demanding physical activity that may create various health disorders during an athlete’s career. Recently, smart mobile and wearable technologies have been used to monitor physiological responses and possible disturbances during physical activity. Thus, the application of mHealth methods in sports poses a challenge today. This study used a novel mobile-Health method to monitor athletes’ physiological responses and to detect health disorders early during cycling in elite athletes. Methods: Sixteen high-level cyclists participated in this study, which included a series of measurements in the laboratory; health and performance assessments; and then application in the field of mHealth monitoring in two training seasons, at the beginning of their training period and in the race season. A field monitoring test took place during 30 min of uphill cycling with the participant’s heart rate at the ventilatory threshold. During monitoring periods, heart rate, oxygen saturation, respiratory rate, and electrocardiogram were monitored via the mHealth system. Moreover, the SpO2 was estimated continuously, and the symptoms during effort were reported. Results: A significant correlation was found between the symptoms reported by the athletes in the two field tests and the findings recorded with the application of the mHealth monitoring method. However, from the pre-participation screening in the laboratory and from the spiroergometric tests, no abnormal findings were detected that were to blame for the appearance of the symptoms. Conclusions: The application of mHealth monitoring during competitive cycling is a very useful method for the early recording of cardiac and other health disorders of athletes, whose untimely evaluation could lead to unforeseen events.
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Iliadis et al. (2021) conducted an observational in Physiological stress and exercise-induced health disorders in elite cyclists (n=16). mHealth telemetric monitoring system (wearable chest belt sensors, wrist pulse oximeter, and smartphone application) vs. Baseline laboratory pre-participation screening and maximal cardiopulmonary exercise testing (CPET) was evaluated on Early detection of physiological abnormalities (hypoxemia, hypotension, arrhythmias) and correlation with reported symptoms during field cycling. The novel mHealth monitoring system detected exercise-induced abnormalities (hypoxemia, hypotension, arrhythmias) in 6 of 16 cyclists during field tests that were missed by laboratory CPET.
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