A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank
Daniel B Kay,1 Zach Simmons,1 Spencer A Nielson,2 Scott R Braithwaite,1 Charlotte Esplin1 1Department of Psychology, Brigham Young University, Provo, UT, USA; 2Department of Psychology, Virginia Commonwealth University, Richmond, VA, USACorrespondence: Daniel B Kay, Department of Psychology, Brigham...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2023-03-01
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| Series: | Nature and Science of Sleep |
| Subjects: | |
| Online Access: | https://www.dovepress.com/a-first-glimpse-at-the-latent-structure-of-sleep-valuation-using-a-sle-peer-reviewed-fulltext-article-NSS |
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| author | Kay DB Simmons Z Nielson SA Braithwaite SR Esplin C |
| author_facet | Kay DB Simmons Z Nielson SA Braithwaite SR Esplin C |
| author_sort | Kay DB |
| collection | DOAJ |
| description | Daniel B Kay,1 Zach Simmons,1 Spencer A Nielson,2 Scott R Braithwaite,1 Charlotte Esplin1 1Department of Psychology, Brigham Young University, Provo, UT, USA; 2Department of Psychology, Virginia Commonwealth University, Richmond, VA, USACorrespondence: Daniel B Kay, Department of Psychology, Brigham Young University, UT 1090 KMBL, Provo, UT, 84602, USA, Tel +1 801 422-7949, Email daniel_kay@byu.eduIntroduction: Sleep valuation is the relative worth individuals place on sleep. Our prior study using a Sleep Valuation Item Bank (SVIB) showed that sleep valuation relates to age, gender, and health status. In this study, the psychometric properties of the SVIB and its latent factor structure were explored. We also investigated how sleep valuation factors relate to demographic, psychological, and sleep features.Methods: Participants (N = 854) were recruited through TurkPRIME and completed a survey consisting of demographic, psychological, and sleep-related questions. The distributional properties of the SVIB items were quantified. Cronbach’s alpha and correlation analyses were used to assess the internal consistency and test-retest reliability of SVIB items. Iterated principal factoring with a Promax rotation was used on the SVIB to explore its latent factor structure. Multiple regression analyses were used to investigate the variables associated with each factor.Results: The factor analysis identified 29 items with factor loadings ≥ 0.4 on four major factors, tentatively called (1) sleep wanting, (2) sleep prioritizing, (3) sleep onset preference, and (4) sleep devaluation. While women had higher sleep wanting and lower sleep devaluation scores than men, they had lower sleep prioritizing. Older individuals tended to value sleep less but also devalued it less than younger participants. Finally, although both individuals with insomnia and depression devalued sleep, depressed individuals prioritized it more than those who were less depressed, while individuals with insomnia symptoms wanted sleep and preferred sleep onset more than those with less insomnia symptoms.Discussion: The current SVIB captures broad dimensions of sleep valuation (wanting, prioritizing, preferring) and sleep devaluation. These broad dimensions had distinct patterns across person-level factors. Recognition of individual differences in sleep valuation may help target sleep health advocacy efforts and individualized treatment approaches, including for those with depression or insomnia.Keywords: sleep valuation, sleep health, sleep quality, insomnia, depression |
| first_indexed | 2024-04-09T23:20:36Z |
| format | Article |
| id | doaj.art-4f33cd49ec9246b088ecfa69966e9348 |
| institution | Directory Open Access Journal |
| issn | 1179-1608 |
| language | English |
| last_indexed | 2024-04-09T23:20:36Z |
| publishDate | 2023-03-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Nature and Science of Sleep |
| spelling | doaj.art-4f33cd49ec9246b088ecfa69966e93482023-03-21T18:11:21ZengDove Medical PressNature and Science of Sleep1179-16082023-03-01Volume 1512713782436A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item BankKay DBSimmons ZNielson SABraithwaite SREsplin CDaniel B Kay,1 Zach Simmons,1 Spencer A Nielson,2 Scott R Braithwaite,1 Charlotte Esplin1 1Department of Psychology, Brigham Young University, Provo, UT, USA; 2Department of Psychology, Virginia Commonwealth University, Richmond, VA, USACorrespondence: Daniel B Kay, Department of Psychology, Brigham Young University, UT 1090 KMBL, Provo, UT, 84602, USA, Tel +1 801 422-7949, Email daniel_kay@byu.eduIntroduction: Sleep valuation is the relative worth individuals place on sleep. Our prior study using a Sleep Valuation Item Bank (SVIB) showed that sleep valuation relates to age, gender, and health status. In this study, the psychometric properties of the SVIB and its latent factor structure were explored. We also investigated how sleep valuation factors relate to demographic, psychological, and sleep features.Methods: Participants (N = 854) were recruited through TurkPRIME and completed a survey consisting of demographic, psychological, and sleep-related questions. The distributional properties of the SVIB items were quantified. Cronbach’s alpha and correlation analyses were used to assess the internal consistency and test-retest reliability of SVIB items. Iterated principal factoring with a Promax rotation was used on the SVIB to explore its latent factor structure. Multiple regression analyses were used to investigate the variables associated with each factor.Results: The factor analysis identified 29 items with factor loadings ≥ 0.4 on four major factors, tentatively called (1) sleep wanting, (2) sleep prioritizing, (3) sleep onset preference, and (4) sleep devaluation. While women had higher sleep wanting and lower sleep devaluation scores than men, they had lower sleep prioritizing. Older individuals tended to value sleep less but also devalued it less than younger participants. Finally, although both individuals with insomnia and depression devalued sleep, depressed individuals prioritized it more than those who were less depressed, while individuals with insomnia symptoms wanted sleep and preferred sleep onset more than those with less insomnia symptoms.Discussion: The current SVIB captures broad dimensions of sleep valuation (wanting, prioritizing, preferring) and sleep devaluation. These broad dimensions had distinct patterns across person-level factors. Recognition of individual differences in sleep valuation may help target sleep health advocacy efforts and individualized treatment approaches, including for those with depression or insomnia.Keywords: sleep valuation, sleep health, sleep quality, insomnia, depressionhttps://www.dovepress.com/a-first-glimpse-at-the-latent-structure-of-sleep-valuation-using-a-sle-peer-reviewed-fulltext-article-NSSsleep valuationsleep healthsleep qualityinsomniadepression. |
| spellingShingle | Kay DB Simmons Z Nielson SA Braithwaite SR Esplin C A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank Nature and Science of Sleep sleep valuation sleep health sleep quality insomnia depression. |
| title | A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank |
| title_full | A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank |
| title_fullStr | A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank |
| title_full_unstemmed | A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank |
| title_short | A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank |
| title_sort | first glimpse at the latent structure of sleep valuation using a sleep valuation item bank |
| topic | sleep valuation sleep health sleep quality insomnia depression. |
| url | https://www.dovepress.com/a-first-glimpse-at-the-latent-structure-of-sleep-valuation-using-a-sle-peer-reviewed-fulltext-article-NSS |
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