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The Effect of Music Tempo on Fatigue Perception at Different Exercise Intensities

Author

Listed:
  • Jianfeng Wu

    (Industrial Design and Research Institute, Zhejiang University of Technology, Hangzhou 310023, China)

  • Lingyan Zhang

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Hongchun Yang

    (Industrial Design and Research Institute, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chunfu Lu

    (Industrial Design and Research Institute, Zhejiang University of Technology, Hangzhou 310023, China)

  • Lu Jiang

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yuyun Chen

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Background: This study aimed to clarify the effect of music tempo on runners’ perception of fatigue at different exercise intensities and while listening to music of different tempos through running experiments. Methods: This study used a within-subject two-factor experimental design with music tempo (fast music, slow music, no music) and exercise intensity (high intensity, low intensity) as independent variables and the time to fatigue perception (TFP), the difference in heart rate (HR) and the difference in the median frequency (MF) of surface electromyography (sEMG) signals as observation indexes. Eighteen participants completed a total of 108 sets of running experiments. Results: (1) The main effect of music tempo on the TFP was significant ( p < 0.001). (2) The main effect of exercise intensity on the TFP was significant ( p < 0.001), and the main effect on the difference in HR was significant ( p < 0.001). (3) The interaction effect of music tempo and exercise intensity on the TFP was significant ( p < 0.05). Conclusions: Exercisers’ subjective perception of fatigue was affected by music tempo and the interaction between music tempo and exercise intensity, and exercisers’ objective fatigue perception was influenced mostly by exercise intensity. The findings of this study provide guidance for runners’ choice of music at different intensities of exercise. Whether it is low-intensity exercise or high-intensity exercise, listening to fast music while exercising can help runners perform better mentally and physically during their runs.

Suggested Citation

  • Jianfeng Wu & Lingyan Zhang & Hongchun Yang & Chunfu Lu & Lu Jiang & Yuyun Chen, 2022. "The Effect of Music Tempo on Fatigue Perception at Different Exercise Intensities," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3869-:d:778626
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    References listed on IDEAS

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    1. Alejandro Muñoz-López & Moisés de Hoyo & Borja Sañudo, 2021. "Muscle Contractile Properties Measured at Submaximal Electrical Amplitudes and Not at Supramaximal Amplitudes Are Associated with Repeated Sprint Performance and Fatigue Markers," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    2. Sebastian Klich & Adam Kawczyński & Bogdan Pietraszewski & Matteo Zago & Aiguo Chen & Małgorzata Smoter & Hamidollah Hassanlouei & Nicola Lovecchio, 2021. "Electromyographic Evaluation of the Shoulder Muscle after a Fatiguing Isokinetic Protocol in Recreational Overhead Athletes," IJERPH, MDPI, vol. 18(5), pages 1-10, March.
    3. Qi Meng & Jiani Jiang & Fangfang Liu & Xiaoduo Xu, 2020. "Effects of the Musical Sound Environment on Communicating Emotion," IJERPH, MDPI, vol. 17(7), pages 1-19, April.
    4. Maria Faulkner & Andrea McNeilly & Gareth Davison & David Rowe & Allan Hewitt & Alan Nevill & Ellie Duly & Tom Trinick & Marie Murphy, 2021. "Music Tempo: A Tool for Regulating Walking Cadence and Physical Activity Intensity in Overweight Adults?," IJERPH, MDPI, vol. 18(15), pages 1-16, July.
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    Cited by:

    1. Gustavo C. Vasconcelos & Cayque Brietzke & Paulo E. Franco-Alvarenga & Florentina J. Hettinga & Flávio O. Pires, 2023. "Music Alters Conscious Distance Monitoring without Changing Pacing and Performance during a Cycling Time Trial," IJERPH, MDPI, vol. 20(5), pages 1-11, February.
    2. Xin Xu & Jie Tang & Tingting Xu & Maokun Lin, 2023. "Mental Fatigue Degree Recognition Based on Relative Band Power and Fuzzy Entropy of EEG," IJERPH, MDPI, vol. 20(2), pages 1-13, January.

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