摘要
Background: Young women of reproductive age experience various physiological changes, which they measure and track using various devices, including fitness trackers and smartwatches. However, fitness tracking assessment methods are ambiguous because they may differ from model to model. Objective: This study aimed to compare the stress level, heart rate, sleep time, number of steps, and distance traveled, which were calculated using fitness tracking methods for daily-life free activity installed in various smartwatches. Materials and Methodology: Healthy women in their 20s to 30s were recruited for this study, which was conducted from December 2021 to June 2022. The finalized participants wore three different smartwatch models (Mi smartband 6, vivosmart<sup>®</sup>4, and Band 6) simultaneously on their person for 48 hours and performed their daily activities and recorded them on an hour-based activity chart. Each smartwatch’s measured data (e.g., age, height, weight, and oral medications) were extracted into five datasets: heart rate, stress level, number of steps, distance, and sleep time. Data analyses were conducted using Spearman’s rank correlation coefficient ρ (for comparing heart rates) and Bland-Altman plots (for assessing heart rate agreement). The smartwatches’ fitness trackers were compared using the mean absolute percentage error. Results: The correlation coefficient showed that vivosmart<sup>®</sup>4 and Band 6 had a higher heart rate agreement (ρ = 0.684). The Bland-Altman plots showed high agreement between Band 6, Mi smartband 6, and vivosmart<sup>®</sup>4. The heart rate measurement method used under free movement was found to be consistent. The examined smartwatches were able to measure heart rate at the same level even under daily-life free movements. Conclusion: Several different smartwatches’ calculated measured values for heart rate had a high agreement. The smartwatches provided accurate heart rate measurements under daily-life free movement conditions. Furthermore, the calculation methods for stress level were found to differ in the fitness tracking of all the smartwatches. .
Background: Young women of reproductive age experience various physiological changes, which they measure and track using various devices, including fitness trackers and smartwatches. However, fitness tracking assessment methods are ambiguous because they may differ from model to model. Objective: This study aimed to compare the stress level, heart rate, sleep time, number of steps, and distance traveled, which were calculated using fitness tracking methods for daily-life free activity installed in various smartwatches. Materials and Methodology: Healthy women in their 20s to 30s were recruited for this study, which was conducted from December 2021 to June 2022. The finalized participants wore three different smartwatch models (Mi smartband 6, vivosmart<sup>®</sup>4, and Band 6) simultaneously on their person for 48 hours and performed their daily activities and recorded them on an hour-based activity chart. Each smartwatch’s measured data (e.g., age, height, weight, and oral medications) were extracted into five datasets: heart rate, stress level, number of steps, distance, and sleep time. Data analyses were conducted using Spearman’s rank correlation coefficient ρ (for comparing heart rates) and Bland-Altman plots (for assessing heart rate agreement). The smartwatches’ fitness trackers were compared using the mean absolute percentage error. Results: The correlation coefficient showed that vivosmart<sup>®</sup>4 and Band 6 had a higher heart rate agreement (ρ = 0.684). The Bland-Altman plots showed high agreement between Band 6, Mi smartband 6, and vivosmart<sup>®</sup>4. The heart rate measurement method used under free movement was found to be consistent. The examined smartwatches were able to measure heart rate at the same level even under daily-life free movements. Conclusion: Several different smartwatches’ calculated measured values for heart rate had a high agreement. The smartwatches provided accurate heart rate measurements under daily-life free movement conditions. Furthermore, the calculation methods for stress level were found to differ in the fitness tracking of all the smartwatches. .
作者
Eriko Terasawa
Yoshihiro Asano
Makiko Aoki
Hisayo Okayama
Eriko Terasawa;Yoshihiro Asano;Makiko Aoki;Hisayo Okayama(Doctorial Program in Nursing, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan;School of Medicine Department of Health Sciences, Shinshu University, Nagano, Japan;Faculty of Health Science of Nursing, Juntendo University, Shizuoka, Japan;Nursing Science and Engineering/Women’s Health Nursing, Institute of Medicine, University of Tsukuba, Ibaraki, Japan)
