Background: Many studies have assessed the effect of music on driving. However, their results are very scattered and contradictory. Therefore, this systematic review is conducted to determine the effect of music on driving performance and drivers' physiological and psychological indicators.
Methods: Scopus, PubMed, and Web of Science databases were searched until July 2023. A manual search in Google Scholar for gray literature was conducted. The Simulation Research Rubric (SRR) tool was used to assess the reporting quality of the studies. Stata software (StataCorp, version 16) was used to perform a meta-analysis.
Results: A total of 2650 records were identified. The findings of 19 studies were analyzed. Most of them were carried out in high-income countries (HICs) using simulators. The most frequently used music style was classic rock. The meta-analysis results indicated that music with high and medium volume increases the average driving speed, and music with low volume decreases it. Although music in every mood reduces the average reaction time, it positively reduces response delay and increases coherence. Music with high volume decreases the heart rate, but music with medium and low volume increases it. Listening to music increases the level of arousal and mental load.
Conclusion: It was concluded that, in some indicators, listening to music has adverse effects on driving. However, in many indicators, music has a positive impact on improving driving safety. It is better to choose appropriate music for different driving conditions and to train the drivers about it.
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http://dx.doi.org/10.34172/hpp.2023.32 | DOI Listing |
PLoS One
December 2024
Faculty of Music and Performing Arts, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
The rise of quality education has led to increased attention on music training as a vital means of enhancing personal qualities. However, with numerous music training institutions competing in the market, distinguishing oneself has become an urgent challenge. This study explores the key factors influencing customers' willingness to renew their enrollment at music training institutions through a questionnaire survey.
View Article and Find Full Text PDFAIDS Res Hum Retroviruses
December 2024
The Fenway Institute, Fenway Health, Boston, Massachusetts, USA.
Chronic pain can be complicated by problematic opioid use, which may decrease engagement in care and HIV medication adherence. Pain-related anxiety and catastrophic thinking augment pain severity and interference while driving increased substance use. The acceptability and effect of a music-based smartphone application on negative affect and catastrophic thinking were evaluated in a mixed-methods study among persons living with HIV (PWH) with problematic opioid use and chronic pain.
View Article and Find Full Text PDFA cusk-eel, known from the Galápagos Archipelago since 1905, which has remained undescribed, is herein formally named, Ophidion galapagensis Lea & Robins. The species is known from 10 collections, including material from Isla del Coco. The species is endemic to the Galápagos Archipelago-Isla del Cocos biogeographic complex and is compared to the seven known eastern Pacific ophidiine cusk-eels; its relationship to these species is unclear.
View Article and Find Full Text PDFMol Phylogenet Evol
December 2024
Institute for Biodiversity Science and Sustainability, California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118, USA.
The family-level placement of the species Pacificana cockayniHogg, 1904 (Araneae, Miturgidae) has been ambiguous for over a century, with the monotypic genus Pacificana initially placed in Agelenidae, later transferred to Amaurobioidinae (Anyphaenidae), and presently in Miturgidae. A recent work describing the male and molecular data consisting of a single mitochondrial gene, cytochrome c oxidase subunit I, confirmed that the species is part of the marronoid clade; however, these data did not result in a conclusive family-level placement. Here, we use low-coverage whole genome sequencing (lcWGS) combined with data from the Sequence Read Archive to infer a phylogeny from ultraconserved elements (UCEs) and six legacy Sanger loci.
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