This study investigated the associations between sleep patterns and singing voice quality in 231 adult singers of various skill levels across the United States. The four-part survey using a general questionnaire on demographics, musical background, vocal health, and three established survey instruments: the Pittsburgh Sleep Quality Index (PSQI), the Singing Voice Handicap Index-10 (SVHI-10), and the Epworth Sleepiness Scale (ESS) found that while scores were worse than normative values for the PSQI and the SVHI-10, a Pearson correlation between the two showed a moderate association. A linear regression also yielded that 8.9% of the variance in SVHI-10 scores could be predicted from PSQI scores. While further research is needed in this area, this study suggests that the amount of sleep needed for an optimal singing voice may be different from the amount needed to feel well-rested for some singers. Moreover, singers may overestimate the influence of sleep on their singing voices.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1833551 |
| Date | 08 1900 |
| Creators | Simmons, Erica Vernice |
| Contributors | Morscheck, Stephen, Chesky, Kris S., Austin, Stephen F. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 54 pages : illustrations, Text |
| Rights | Public, Simmons, Erica Vernice, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
| Relation | Recital: April 27, 2018, ark:/67531/metadc1157683, Recital: March 19, 2019, not yet digitized, Recital: June 30, 2020, not yet digitized, Lecture: May 4, 2021, ark:/67531/metadc1923546 |
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