Literature DB >> 16815785

Redesign and initial validation of an instrument to assess the motivational qualities of music in exercise: the Brunel Music Rating Inventory-2.

Costas I Karageorghis1, David-Lee Priest, Peter C Terry, Nikos L D Chatzisarantis, Andrew M Lane.   

Abstract

In the present study, a measure to assess the motivational qualities of music in exercise was redesigned, extending previous research efforts (Karageorghis et al., 1999). The original measure, the Brunel Music Rating Inventory (BMRI), had shown limitations in its factor structure and its applicability to non-experts in music selection. Redesign of the BMRI used in-depth interviews with eight participants (mean age 31.9 years, s = 8.9 years) to establish the initial item pool, which was examined using a series of confirmatory factor analyses. A single-factor model provided a good fit across three musical selections with different motivational qualities (comparative fit index, CFI: 0.95-0.98; standardized root mean residual, SRMR: 0.03-0.05). The single-factor model also demonstrated acceptable fit across two independent samples and both sexes using one piece of music (CFI: 0.86-1.00; SRMR: 0.04-0.07). The BMRI was designed for experts in selecting music for exercise (e.g. dance aerobic instructors), whereas the BMRI-2 can be used both by exercise instructors and participants. The psychometric properties of the BMRI-2 are stronger than those of the BMRI and it is easier to use. The BMRI-2 provides a valid and internally consistent tool by which music can be selected to accompany a bout of exercise or a training session. Furthermore, the BMRI-2 enables researchers to standardize music in experimental protocols involving exercise-related tasks.

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Year:  2006        PMID: 16815785     DOI: 10.1080/02640410500298107

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  22 in total

1.  A motivational music and video intervention improves high-intensity exercise performance.

Authors:  Martin J Barwood; Neil J V Weston; Richard Thelwell; Jennifer Page
Journal:  J Sports Sci Med       Date:  2009-09-01       Impact factor: 2.988

2.  The effect of listening to preferred music after a stressful task on performance and psychophysiological responses in collegiate golfers.

Authors:  Hung-Tsung Wang; Yung-Sheng Chen; Ghazi Rekik; Chia-Chen Yang; Mao-Sheng Lai; Hsia-Ling Tai
Journal:  PeerJ       Date:  2022-06-01       Impact factor: 3.061

3.  Effects of music interventions on emotional States and running performance.

Authors:  Andrew M Lane; Paul A Davis; Tracey J Devonport
Journal:  J Sports Sci Med       Date:  2011-06-01       Impact factor: 2.988

4.  Rationale and methods for a randomized controlled trial of a movement-to-music video program for decreasing sedentary time among mother-child pairs.

Authors:  Pipsa P A Tuominen; Pauliina Husu; Jani Raitanen; Riitta M Luoto
Journal:  BMC Public Health       Date:  2015-10-05       Impact factor: 3.295

5.  The power of auditory-motor synchronization in sports: enhancing running performance by coupling cadence with the right beats.

Authors:  Robert Jan Bood; Marijn Nijssen; John van der Kamp; Melvyn Roerdink
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

6.  Tempo and walking speed with music in the urban context.

Authors:  Marek Franěk; Leon van Noorden; Lukáš Režný
Journal:  Front Psychol       Date:  2014-12-02

7.  Music in the exercise domain: a review and synthesis (Part I).

Authors:  Costas I Karageorghis; David-Lee Priest
Journal:  Int Rev Sport Exerc Psychol       Date:  2011-12-07

8.  Spontaneous Entrainment of Running Cadence to Music Tempo.

Authors:  Edith Van Dyck; Bart Moens; Jeska Buhmann; Michiel Demey; Esther Coorevits; Simone Dalla Bella; Marc Leman
Journal:  Sports Med Open       Date:  2015-07-14

9.  Use the brain: complementary methods to analyse the effects of motivational music.

Authors:  Marcelo Bigliassi
Journal:  Front Hum Neurosci       Date:  2015-09-16       Impact factor: 3.169

10.  Encouraging spontaneous synchronisation with D-Jogger, an adaptive music player that aligns movement and music.

Authors:  Bart Moens; Chris Muller; Leon van Noorden; Marek Franěk; Bert Celie; Jan Boone; Jan Bourgois; Marc Leman
Journal:  PLoS One       Date:  2014-12-09       Impact factor: 3.240

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