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Accepted manuscript

Sleep Value and Sleep Resilience are Important Dimensions of Sleep Health and We Measured Them: Methods for the Sleep Resilience and Variance in Sleep Valuation (SRVIV) Study

Published online by Cambridge University Press:  02 December 2024

Dustin Sherriff
Affiliation:
Brigham Young University
Levi Ward
Affiliation:
Brigham Young University
Danika Calvin
Affiliation:
Brigham Young University
Bryce Klingonsmith
Affiliation:
Brigham Young University
Daniel B. Kay*
Affiliation:
Brigham Young University
*
*Corresponding author: Daniel B. Kay, Ph.D., Brigham Young University, Provo, UT 84602,daniel_kay@byu.edu
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Abstract

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Sleep health is a multidimensional construct that is essential for general health and well-being. Sleep value, the amount of worth an individual places on their sleep, and sleep resilience, the ability to function emotionally, cognitively, and physically in the presence of sleep disturbances are overlooked dimensions of sleep health. To study these sleep health dimensions, we developed the Sleep Valuation Item Bank 2.0, Values Inventory, Monetary Sleep Value Questionnaire, and Sleep Resilience Questionnaire. This paper describes the methods for the Sleep Resilience and Variance in Sleep Valuation (SRVIV) Study. The SRVIV study was conducted to explore the factor structure of sleep value and sleep resilience and determine how they relate to demographic, sleep, and psychological variables. This study resulted in an analysis sample of 455 participants who were recruited by a Qualtrics team and completed a Qualtrics survey consisting of demographic, anxiety, depression, and sleep-related questionnaires, in addition to sleep value and sleep resilience questionnaires. Adult participants were recruited throughout the continental United States and were predominately female (53%), white (82%), married (50%), and had an average age of 45.4 years. The data resulting from this study can be used to address important questions in the field of sleep psychology.

Type
Results
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2024. Published by Cambridge University Press