Sleep quality, stress, and discounting

Description

These are data from the study: 4. Law, O. 1, & Rasmussen, E.B. (2023). Poor sleep quality and stress differentially predict delay discounting for food, but not money. Journal of Behavioral Decision Making.

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Data were analyzed using IBM SPSS Statistics. Pearson product-moment correlations were conducted first to determine potential associations of DD with perceived stress, sleep quality, and several other potential covariates such that they could be controlled in analyses. Because discounting values were positively skewed, log-transformed values were used in the analyses (a common practice in discounting research) which normalized the distributions. MANOVAs were conducted for the three magnitudes (small, medium, large) of food discounting and the three magnitudes of monetary discounting with perceived stress and sleep quality, as well as confounding variables (determined by correlations), as variables influencing discounting. Hierarchical regressions were conducted on omnibus DD for food (FCQ-log) and money (MCQ)-log by entering confounding variables in the first step and stress and sleep quality in the second step to examine any unique variance contributed by stress and sleep quality on discounting. An interaction term (stress X sleep quality) was also entered in the model in separate regressions to determine the extent to which the interaction of stress and sleep quality interacted to affect discounting processes, given that they are related to one another in the literature.

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