Return to search

The Association between Sleep Patterns and Singing Voice Quality during the COVID-19 Pandemic

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.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1833551
Date08 1900
CreatorsSimmons, Erica Vernice
ContributorsMorscheck, Stephen, Chesky, Kris S., Austin, Stephen F.
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatviii, 54 pages : illustrations, Text
RightsPublic, Simmons, Erica Vernice, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.
RelationRecital: 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

Page generated in 0.0025 seconds