The compliance of digital exercise with smart tools in subjects with cardiac arrythmias

Abstract Background The exercise has well-documented health benefits on cardiovascular disease, and the use of mobile (mHealth) may promote physical activity to reduce risk. Objective present study aimed investigate compliance dose pattern through wearables mHealth in subjects with cardiac arrhythmia a real-world setting. Method photoplethysmography (PPG)-algorithms detect ectopic AF have been developed HUAWE HEART STUDY. Using PPG-based smart devices, adult identified received personalized App-based lifestyle package was proposed. V̇O2 peak (mL kg–1 min–1)was estimated from non-exercise prediction model. metabolic equivalent (MET)/week Borg scale were utilized for assessment intensity exercise. All followed up 3 months package. Results There 7419 (mean age ± standard deviation, SD, 35±12 years old, 92.1% male) who between April 1, 2021 Dec 31, 2021. Among them, there 165 AF, 5277 ectopic. obstructive sleep apnea most reported risk profile (2643, 35.6%), while 1326 (17.9%) overweight. Upon baseline assessment, disease prevention proposed 2864 subjects, control weight 2510 1886 subjects. 6366 took packages, 1867 (29.3%) achieved target exercise, 395 (6.2%) over 4104 (64.5%) under min–1, SD)in package, (47.36±5.12, 32.14±22.47, 65.99±10.38, p<0.001). For as follows: 0.4% low-intensity 95.8% moderate-intensity 3.7% high-intensity Nonetheless, 37.7% low-intensity, 60.6% 1.7% didn't achieve target. 77.9% had less than 1/week activity, only 12.9% (p<0.001). Compared randomly selected 8000 39±13 years, 80.8% without proportion steps/day 10000 20% significantly increased (37±13 91.3% receiving (31.2%, vs. 12.2%, Conclusion facilitated improvement habit arrhythmia, but subjects-centered self-management would be enhanced Funding Acknowledgement Type funding sources: Public grant(s) – National budget only. Main source(s): Natural Science Foundation China