In the present study, we investigated a hypothesized quartic relationship (meaning three inflection points) between exercise heart rate (HR) and preferred music tempo. Initial theoretical predictions suggested a positive linear relationship (Iwanaga, 1995a, 1995b); however, recent experimental work has shown that as exercise HR increases, step changes and plateaus that punctuate the profile of music tempo preference may occur (Karageorghis, Jones, & Stuart, 2008). Tempi bands consisted of slow (95-100 bpm), medium (115-120 bpm), fast (135-140 bpm), and very fast (155-160 bpm) music. Twenty-eight active undergraduate students cycled at exercise intensities representing 40, 50, 60, 70, 80, and 90% of their maximal HR reserve while their music preference was assessed using a 10-point scale. The Exercise Intensity x Music Tempo interaction was significant, F(6.16, 160.05) = 7.08, p < .001, 7,2 = .21, as was the test for both cubic and quartic trajectories in the exercise HR-preferred-music-tempo relationship (p < .001). Whereas slow tempo music was not preferred at any exercise intensity, preference for fast tempo increased, relative to medium and very fast tempo music, as exercise intensity increased. The implications for the prescription of music in exercise and physical activity contexts are discussed.
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http://dx.doi.org/10.1080/02701367.2011.10599755 | DOI Listing |
Heliyon
January 2025
School of Music, College of Fine Arts, University of Tehran, Tehran, Iran.
Sleep stages classification one of the essential factors concerning sleep disorder diagnoses, which can contribute to many functional disease treatments or prevent the primary cognitive risks in daily activities. In this study, A novel method of mapping EEG signals to music is proposed to classify sleep stages. A total of 4.
View Article and Find Full Text PDFJ Exerc Rehabil
December 2024
Department of Kinesiology, College of Natural Science, Jeju National University, Jeju, Korea.
The purpose of this study is to investigate the effects of music tempo on heart rate (HR), HR variability (HRV), lactate levels, and aerobic capacity during walking exercise in male college students. Ten male college students randomly participated in three experiments using various music tempos on a treadmill device to prevent data contamination between measurements by allowing a 2-week interval. Walking exercise was performed at a moderate intensity of 60%-70% maximum HR for 30 min, with participants divided into three groups based on music tempo: exercise group with fast tempo music (ExF, 120-160 bpm), exercise group with slow tempo music (ExS, 60-70 bpm), and exercise group without music (Ex).
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
The Department of Management, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.
Influences from external factors can affect decision-makers, preventing them from making decisions in a fully rational manner. Music may serve as one such influential factor in this context. Music is part of our daily lives, and we are exposed to music in numerous places.
View Article and Find Full Text PDFiScience
January 2025
Montreal Centre for Brain, Music and Sound (BRAMS), Montreal, QC, Canada.
People synchronize their movements more easily to rhythms with tempi closer to their preferred motor rates than with faster or slower ones. More efficient coupling at one's preferred rate, compared to faster or slower rates, should be associated with lower cognitive demands and better attentional entrainment, as predicted by dynamical system theories of perception and action. We show that synchronizing one's finger taps to metronomes at tempi outside of their preferred rate evokes larger pupil sizes, a proxy for noradrenergic attention, relative to passively listening.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Sport Studies, Faculty of Education Studies, Universiti Putra Malaysia, Selangor, Malaysia.
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