Introduction: When exercising to preferred music (PM), participants found more satisfaction and less typical exercise-related fatigue, which made it easier and more enjoyable to maintain the physical activity (PA) until the exercise goals were achieved. The purpose of this review and meta-analysis was to determine whether changes on internal training load in adult recreational athletes were modified by listening to PM and non-preferred music (NPM), during different PA.
Evidence Acquisition: A music-focused search was performed on the Google Scholar, PubMed, and Web of Science databases to identify relevant articles to this topic published after 2000 to investigate the effects of PM on psychophysiological responses to PA.
Evidence Synthesis: Twelve studies met the inclusion criteria and were included in the qualitative analysis. The research studies' sample sizes varied from ten to twenty-five participants. Heart rate (HR) and rate of perceived exertion (RPE) on internal training load were the selected indicators. The use of different kinds of music had mostly, non-significant effects on HR and RPE toward the ability of music to allow participants to dissociate from the intensity level they are experiencing.
Conclusions: The meta-analysis confirmed that preferred music had no significant effect on HRmean or RPE. The results of this review contradict the idea that listening to music improves exercise performance.
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http://dx.doi.org/10.23736/S0022-4707.24.16178-6 | DOI Listing |
J Sports Med Phys Fitness
January 2025
Faculty of Sport and Physical Education, University of Niš, Niš, Serbia.
Introduction: When exercising to preferred music (PM), participants found more satisfaction and less typical exercise-related fatigue, which made it easier and more enjoyable to maintain the physical activity (PA) until the exercise goals were achieved. The purpose of this review and meta-analysis was to determine whether changes on internal training load in adult recreational athletes were modified by listening to PM and non-preferred music (NPM), during different PA.
Evidence Acquisition: A music-focused search was performed on the Google Scholar, PubMed, and Web of Science databases to identify relevant articles to this topic published after 2000 to investigate the effects of PM on psychophysiological responses to PA.
Eur J Pain
February 2025
Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
Background And Objective: Fibromyalgia is a condition characterised by disabling levels of pain of varying intensity. Aerobic exercise may play a role in reducing pain in these patients. The aim of this review is to assess the dose of aerobic exercise needed, based on the frequency, intensity, type, time, volume and progression (FITT-VP) model, to obtain clinically relevant reductions in pain.
View Article and Find Full Text PDFJ Ren Care
March 2025
Medical Nursing Department, Faculty of Health Sciences, Izmir Bakircay University, Izmir, Turkey.
Background: Patients feel pain and distress when a needle is inserted into the fistula. This affects the comfort of patients. One of the nonpharmacological methods used to decrease pain and stress is music intervention.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Psychology and Visual Sciences, University of Leicester, Leicester, UK.
Background: Pharmacological treatment of behavioral and psychological symptoms of dementia is of limited benefit. The addition of non-pharmacological interventions is often essential for optimal symptom control. Music is a viable way to help patients communicate and improve their quality of life.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Computer and Control Engineering, Yantai University, YanTai, 264005, China. Electronic address:
Recommender systems are widely used in various applications. Knowledge graphs are increasingly used to improve recommendation performance by extracting valuable information from user-item interactions. However, current methods do not effectively use fine-grained information within the knowledge graph.
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