Healthy sleep is essential to employee well-being and productivity, but many modern workers do not obtain adequate sleep. Are technology-related changes to job design (i.e., computer use, sedentary work, nontraditional work schedules) related to long-term worsening of employee sleep health? The present study seeks to address this question using nationally representative data from the Midlife in the United States study, which includes detailed information on sleep duration, regularity, sleep onset latency, insomnia symptoms, napping, and daytime tiredness from full-time workers (N = 1,297) at two time points separated by approximately 10 years. Using latent transition analysis to consider how these sleep health dimensions co-occur, we identify three multidimensional sleep health phenotypes at both time points: good sleepers, catch-up sleepers, and insomnia sleepers. Sedentary work is linked to the insomnia sleeper phenotype. Nontraditional work schedules are linked to the catch-up sleep

Objective: Despite the popularity of mindfulness in research and interventions, information is missing about how and why mindfulness may benefit employee sleep health. Drawing from emotion regulation theory, we evaluate affective rumination, negative affect, and positive affect as potential mechanisms. We also explore differential effects of trait and state attentional mindfulness on both subjective (e.g., quality and sufficiency) and actigraphy-measured aspects (e.g., duration and wake after sleep onset) of sleep health. Method: Ecological momentary assessment and sleep actigraphy data were collected across two independent samples of health care workers (N1 = 60, N2 = 84). Ecological momentary assessment was also used to collect daily information on state mindfulness, affect, and rumination. Results: Our results support rumination and, to a less consistent extent, negative affect as mediators of the association between mindfulness and sleep health but not positive affect. Trait and st

The happy face advantage, the faster recognition of happy than of negative, angry or fearful, emotional expressions, has been reliably found and is modulated by social category cues, such as perceived gender, that is, is larger on female than on male faces. In this study, we tested whether this pattern of results is unique to human faces by investigating whether ambient examples of face pareidolia can also evoke a happy face advantage that is dependent on perceived gender. “Face pareidolia” describes the illusion of facial structure on inanimate objects, such as a tree trunk or a piece of burnt toast. While it has been shown that these illusory faces have expressions that can be recognized by participants, it is unknown whether they drive the same behavioral biases as real facial expressions. Thus, we measured the speed and accuracy with which the expressions of illusory faces that are perceived as female or male are recognized as happy or angry. We found a robust happy face advantage