Feasibility of Mobile Health App-Based Home Aerobic Exercise for Physical Performance in Healthy Young Adults
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Objective: To investigate the feasibility and effects of a mobile app-based home cycling exercise program compared to home cycling exercise without additional monitoring system. Compared with fitness facilities or outdoor exercise, home-based exercise programs effectively improve physical performance in an indwelling community. However, a flexible, informal environment may decrease motivation and impair adherence to physical exercise. Mobile devices for aerobic exercise and mobile applications provide real-time monitoring, immediate feedback, and encouragement to increase motivation and promote physical performance. We investigated the feasibility and effects of a mobile app-based home exercise program on body composition, muscular strength, and cardiopulmonary function.Methods: Between February and May 2023, 20 participants were randomly allocated to the intervention (mobile application with a tablet) and control groups, and they performed aerobic exercise using a stationary bicycle for ≥150 minutes per week for 6 weeks (≤30-minute exercise session, with 3-minute warm-up and 3-minute cool-down). Karvonen formula-based heartrate defined the weekly increase in exercise intensity. Outcome measures included body-composition parameters, isokinetic knee flexor and extensor strength tests, cardiopulmonary exercise test results, and rate of target heart rate (HR) achievement. Participants were assessed at baseline and after the intervention.Results: Unrelated personal events led two participants to drop out. The intervention and control groups had similar baseline characteristics. Compared with the control group, in the post-intervention isokinetic strength test, bilateral knee flexor and extensor power, and time to target HR achievement significantly increased each week in the intervention group.Conclusion: Home-based exercise to achieve long-term cardiovascular fitness with portable electronic/mobile devices facilitates individualized exercise using real-time feedback to improve motivation and adherence.
Abstract
Objective: To investigate the feasibility and effects of a mobile app-based home cycling exercise program compared to home cycling exercise without additional monitoring system. Compared with fitness facilities or outdoor exercise, home-based exercise programs effectively improve physical performance in an indwelling community. However, a flexible, informal environment may decrease motivation and impair adherence to physical exercise. Mobile devices for aerobic exercise and mobile applications provide real-time monitoring, immediate feedback, and encouragement to increase motivation and promote physical performance. We investigated the feasibility and effects of a mobile app-based home exercise program on body composition, muscular strength, and cardiopulmonary function.Methods: Between February and May 2023, 20 participants were randomly allocated to the intervention (mobile application with a tablet) and control groups, and they performed aerobic exercise using a stationary bicycle for ≥150 minutes per week for 6 weeks (≤30-minute exercise session, with 3-minute warm-up and 3-minute cool-down). Karvonen formula-based heartrate defined the weekly increase in exercise intensity. Outcome measures included body-composition parameters, isokinetic knee flexor and extensor strength tests, cardiopulmonary exercise test results, and rate of target heart rate (HR) achievement. Participants were assessed at baseline and after the intervention.Results: Unrelated personal events led two participants to drop out. The intervention and control groups had similar baseline characteristics. Compared with the control group, in the post-intervention isokinetic strength test, bilateral knee flexor and extensor power, and time to target HR achievement significantly increased each week in the intervention group.Conclusion: Home-based exercise to achieve long-term cardiovascular fitness with portable electronic/mobile devices facilitates individualized exercise using real-time feedback to improve motivation and adherence.
참고문헌 (38)
- U.S. Department of Health and Human Services, "Physical activity guidelines for Americans", pp.1~118 (2018), U.S. Department of Health and Human Services
- da Silveira MP, "Physical exercise as a tool to help the immune system against COVID-19 : an integrative review of the current literature", Clin Exp Med, 21, pp.15~28 (2021)
- Park JH, "What happened pre- and during COVID-19 in South Korea? Comparing physical activity, sleep time, and body weight status", Int J Environ Res Public Health, 18, pp.5863~ (2021)
- Kyle UG, "Physical activity and fat-free and fat mass by bioelectrical impedance in 3853 adults", Med Sci Sports Exerc, 33, pp.576~584 (2001)
- Bradbury KE, "Association between physical activity and body fat percentage, with adjustment for BMI : a large cross-sectional analysis of UK Biobank", BMJ Open, 7, pp.e011843~ (2017)
- Yamada Y, "Phase angle obtained via bioelectrical impedance analysis and objectively measured physical activity or exercise habits", Sci Rep, 12, pp.17274~ (2022)
- Warburton DER, "Health benefits of physical activity : a systematic review of current systematic reviews", Curr Opin Cardiol, 32, pp.541~556 (2017)
- Sung H, "Physical activity trends in Korean adults from Korea National Health and Nutritional Examination Survey from 2014 to 2019", Int J Environ Res Public Health, 19, pp.5213~ (2022)
- Korea National Health and Nutrition Examination Survey (KNHANES) reports, "Korea Disease Control and Prevention Agency", Korea Disease Control and Prevention Agency, 1~224 (2020)
- Stamatakis E, "Does strength-promoting exercise confer unique health benefits? A pooled analysis of data on 11 population cohorts with all-cause, cancer, and cardiovascular mortality endpoints", Am J Epidemiol, 187, pp.1102~1112 (2018)
- Bull FC, "World Health Organization 2020 guidelines on physical activity and sedentary behaviour", Br J Sports Med, 54, pp.1451~1462 (2020)
- Seo YB, "Current status of physical activity in South Korea", Korean J Fam Med, 43, pp.209~219 (2022)
- Baek SU, "Association between long working hours and physical inactivity in middle-aged and older adults : a Korean longitudinal study(2006-2020)", J Epidemiol Community Health, 77, pp.355~361 (2023)
- Kim GH, "Relationship between changes in sedentary time, physical activity, and body mass index during the COVID-19 pandemic in Korea", Asia Pac J Public Health, 33, pp.958~960 (2021)
- Lee MN, "The leading factors of obesity and severe obesity in Korean adults during the COVID-19 pandemic", Int J Environ Res Public Health, 19, pp.12214~ (2022)
- Kim S, "International trend of non-contact healthcare and related changes due to COVID-19 pandemic", Yonsei Med J, 63(Suppl), pp.S22~S33 (2022)
- Kwon JY, "Analysis of strategies to increase user retention of fitness mobile apps during and after the COVID-19 pandemic", Int J Environ Res Public Health, 19, pp.10814~ (2022)
- Park J, "Real-time exercise feedback through a convolutional neural network : a machine learning-based motion-detecting mobile exercise coaching application", Yonsei Med J, 63(Suppl), pp.S34~S42 (2022)
- Ashari A, "Effectiveness of individualized home-based exercise on turning and balance performance among adults older than 50 yrs : a randomized controlled trial", Am J Phys Med Rehabil, 95, pp.355~365 (2016)
- Lin I, "Effectiveness of home-based exercise for improving physical activity, quality of life and function in older adults after hospitalisation : a systematic review and meta-analysis", Clin Rehabil, 36, pp.1170~1185 (2022)
- Solis-Navarro L, "Effectiveness of home-based exercise delivered by digital health in older adults : a systematic review and meta-analysis", Age Ageing, 51, pp.afac243~ (2022)
- Direito A, "Smartphone apps to improve fitness and increase physical activity among young people : protocol of the Apps for IMproving FITness(AIMFIT)randomized controlled trial", BMC Public Health, 15, pp.635~ (2015)
- Karvonen MJ, "The effects of training on heart rate; a longitudinal study", Ann Med Exp Biol Fenn, 35, pp.307~315 (1957)
- Fletcher GF, "Exercise standards for testing and training : a statement for healthcare professionals from the American Heart Association", Circulation, 104, pp.1694~1740 (2001)
- Swank AM, "Modest increase in peak VO2 is related to better clinical outcomes in chronic heart failure patients : results from heart failure and a controlled trial to investigate outcomes of exercise training", Circ Heart Fail, 5, pp.579~585 (2012)
- Albouaini K, "Cardiopulmonary exercise testing and its application", Heart, 93, pp.1285~1292 (2007)
- Chambers DJ, "Cardiopulmonary exercise testing-a beginner’s guide to the nine-panel plot", BJA Educ, 19, pp.158~164 (2019)
- Wang S, "Effect of exercise training on body composition and inflammatory cytokine levels in overweight and obese individuals : a systematic review and network meta-analysis", Front Immunol, 13, pp.921085~ (2022)
- Grediagin A, "Exercise intensity does not effect body composition change in untrained, moderately overfat women", J Am Diet Assoc, 95, pp.661~665 (1995)
- Kapsis DP, "Changes in body composition and strength after 12 weeks of high-intensity functional training with two different loads in physically active men and women : a randomized controlled study", Sports(Basel), 10, pp.7~ (2022)
- La New JM, "Effects of walking speed on total and regional body fat in healthy postmenopausal women", Nutrients, 14, pp.627~ (2022)
- Tavoian D, "Effects of three different exercise strategies for optimizing aerobic capacity and skeletal muscle performance in older adults : a pilot study", J Frailty Aging, 10, pp.357~360 (2021)
- Bird SP, "Designing resistance training programmes to enhance muscular fitness : a review of the acute programme variables", Sports Med, 35, pp.841~851 (2005)
- Oja P, "Dose response between total volume of physical activity and health and fitness", Med Sci Sports Exerc, 33(6 Suppl), pp.S428~S437 (2001)
- Scribbans TD, "The effect of training intensity on VO2max in young healthy adults : a meta-regression and meta-analysis", Int J Exerc Sci, 9, pp.230~247 (2016)
- Helgerud J, "Aerobic high-intensity intervals improve VO2max more than moderate training", Med Sci Sports Exerc, 39, pp.665~671 (2007)
- Ricke E, "Prognostic factors of adherence to home-based exercise therapy in patients with chronic diseases : a systematic review and meta-analysis", Front Sports Act Living, 5, pp.1035023~ (2023)
- Essery R, "Predictors of adherence to home-based physical therapies : a systematic review", Disabil Rehabil, 39, pp.519~534 (2017)
