0359 Relationships Between Sleep Valuation and Sleep Patterns Free

Sleep valuation is the relative worth placed on sleep. Individual differences in sleep valuation relate to age, gender, depression, and overall sleep health. The factor structure of sleep valuation and how subfactors of sleep valuation relate to sleep health outcomes remain unclear. This study investigated how latent factors of sleep valuation relate to sleep health.

Data were collected from 125 adults, primarily college students (59% female, mean age 21, and 87% white), who completed the 43-item Sleep Valuation Item Bank, the Insomnia Severity Index, and a standard sleep diary. Based on observations from a previous study, sleep valuation items were separated from sleep devaluation items and principal axis factoring analyses were run for each set of items. Spearman’s correlation analyses were used to explore associations between sleep valuation and devaluation subfactors with demographics, general and mental health, insomnia severity, in bed time, total sleep time, and sleep efficiency reported on the sleep diary for the prior night.

Based on the scree plot method, three sleep valuation (sleep wanting, preference/prioritizing, and enjoyment) and two devaluation (sleep aversion and procrastination) subfactors emerged in the factor analysis. Greater sleep wanting was associated with female gender, poorer general and mental health, more severe insomnia, and later bedtime, p<.05, for all. Sleep preference/prioritizing was associated with female gender and poorer mental health, p<.05, for all. Sleep enjoyment was associated with lower insomnia severity and greater sleep efficiency, p<.05, for all. Sleep aversion was not associated with any sleep diary variable. Sleep procrastination was associated with a later bedtime, less time in bed, and greater insomnia severity, p<.05, for all.

Findings closely replicated prior studies including a similar factor structure and the association of sleep valuation to gender, mental and physical health, and insomnia severity. Sleep valuation and devaluation patterns were intimately related to self-reported sleep behaviors. The direction of these associations could not be determined. Nevertheless, we recommend development and testing of primary and tertiary interventions that target sleep valuation patterns to explore their impact on sleep health behaviors.

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