Literature DB >> 20795377

Measurement and prediction of sound exposure levels by university wind bands.

Kris Chesky1.   

Abstract

The purpose of this study was to determine sound exposure levels generated in two college wind bands. Dosimeter data from a large sample of ensemble-based instructional activities (n = 43) was collected over time and processed to assess associations with predictor variables that may be relevant to this context, including indicators of time spend at various intensity levels, maximum and peak sound levels, degree of variability of sound levels over time, and the percentage of time playing music. The mean dose per event for the entire sample was 109.5% and ranged from 53.8% to 166.9%. Results of linear regression analysis revealed that regressors accounted for a significant proportion of the variance in dose (F = 128.42, p < 0.000) and a statistically significant and very large (96% variance accounted for) contribution to the prediction of dose. Findings implicate the critical role of the instructor and teaching pedagogy.

Mesh:

Year:  2010        PMID: 20795377

Source DB:  PubMed          Journal:  Med Probl Perform Art        ISSN: 0885-1158            Impact factor:   1.106


  4 in total

1.  Assessment of occupational personal sound exposures for music instructors.

Authors:  Kathryn Crawford; Nathan B Fethke; Thomas M Peters; T Renée Anthony
Journal:  J Occup Environ Hyg       Date:  2021-01-28       Impact factor: 2.155

2.  Student's music exposure: Full-day personal dose measurements.

Authors:  Nilesh Jeevandas Washnik; Susan L Phillips; Sandra Teglas
Journal:  Noise Health       Date:  2016 Mar-Apr       Impact factor: 0.867

3.  Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology.

Authors:  Wenfeng Zhang
Journal:  J Environ Public Health       Date:  2022-08-16

4.  Association Analysis of Candidate Gene Polymorphisms and Audiometric Measures of Noise-Induced Hearing Loss in Young Musicians.

Authors:  Ishan Sunilkumar Bhatt; Raquel Dias; Nilesh Washnik; Jin Wang; O'neil Guthrie; Michael Skelton; Jeffery Lane; Jason Wilder
Journal:  Otol Neurotol       Date:  2020-06       Impact factor: 2.619

  4 in total

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