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Designing an App to Promote Physical Exercise in Sedentary People Using a Day-to-Day Algorithm to Ensure a Healthy Self-Programmed Exercise Training

Author

Listed:
  • Antonio Casanova-Lizón

    (Sports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain)

  • José M. Sarabia

    (Sports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain
    Department of Sport Sciences, Miguel Hernandez University, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain)

  • Diego Pastor

    (Department of Sport Sciences, Miguel Hernandez University, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain)

  • Alejandro Javaloyes

    (Sports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain)

  • Iván Peña-González

    (Sports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain)

  • Manuel Moya-Ramón

    (Sports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain
    Department of Sport Sciences, Miguel Hernandez University, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain)

Abstract

Heart rate variability (HRV) has allowed the implementation of a methodology for daily decision making called day-to-day training, which allows data to be recorded by anyone with a smartphone. The purpose of the present work was to evaluate the validity and reliability of HRV measurements with a new mobile app (Selftraining UMH) in two resting conditions. Twenty healthy people (10 male and 10 female) were measured at rest in supine and seated positions with an electrocardiogram and an application for smartphones at the same time (Selftraining UMH) using recordings obtained through an already validated chest-worn heart rate monitor (Polar H10). The Selftraining UMH app showed no significant differences compared to an electrocardiogram, neither in supine nor in sitting position ( p > 0.05) and they presented almost perfect correlation levels (r ≥ 0.99). Furthermore, no significant differences were found between ultra-short (1-min) and short (5-min) length measurements. The intraclass correlation coefficient showed excellent reliability (>0.90) and the standard error of measurement remained below 5%. The Selftraining UMH smartphone app connected via Bluetooth to the Polar H10 chest strap can be used to register daily HRV recordings in healthy sedentary people.

Suggested Citation

  • Antonio Casanova-Lizón & José M. Sarabia & Diego Pastor & Alejandro Javaloyes & Iván Peña-González & Manuel Moya-Ramón, 2023. "Designing an App to Promote Physical Exercise in Sedentary People Using a Day-to-Day Algorithm to Ensure a Healthy Self-Programmed Exercise Training," IJERPH, MDPI, vol. 20(2), pages 1-12, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1528-:d:1035694
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    References listed on IDEAS

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    1. Goodarz Danaei & Eric L Ding & Dariush Mozaffarian & Ben Taylor & Jürgen Rehm & Christopher J L Murray & Majid Ezzati, 2009. "The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors," PLOS Medicine, Public Library of Science, vol. 6(4), pages 1-23, April.
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