Article

Sleep: An Important Factor in Stress-Health Models

Stress and Health (Impact Factor: 1.81). 08/2010; 26(3):204-214. DOI: 10.1002/smi.1304

ABSTRACT

A growing body of literature supports the notion that psychological stress negatively impacts physical health. In parallel to this programme of stress/health investigations, researchers are demonstrating the deleterious health effects of poor sleep. The current study simultaneously examines the association of both stress and sleep with health. Two hundred and eighteen subjects completed an anonymous survey packet that included stress, sleep and health measures. Psychological stress (as assessed by both life-events and by self-perceived stress), daytime sleepiness and poor sleep quality, but not sleep quantity, were all negatively associated with health. A regression model that integrated both stress measures was a statistically significant predictor of health. Adding the sleep measures to the stress-health model accounted for a statistically significantly greater proportion of the variance in health scores, with the stress + sleep model accounting for 39–56 per cent of the variance in health scores depending on the health measure used. These results suggest that studies of stress and health may benefit from the inclusion of sleep measures and that, from a practical standpoint, poor sleep might be best understood not simply as a sequela of psychological stress but rather as a factor that should be actively addressed as part of the treatment programme. Copyright

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    • "Bader et al. (2011) found that exposure to a stressful video led to poorer sleep, particularly if it activated memories of stressful life events. Regarding health, Benham (2010) found that sleep variables increased the prediction of physical symptoms by 17–26% over and above the influence of stress. The workplace was another commonly researched context here (Barber, Grawitch, & Munz, 2012; Barber & Munz, 2011; Pereira & Elfering, 2014; Pereira et al., 2013). "
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    ABSTRACT: Keywords:sleep;stress;health
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    • "However, night shift participants' answers to the individual PSQI item of self reported sleep quality demonstrated a lower perceived sleep quality when compared to day shift participants. Because poor sleep quality has been shown to be a predictor of health risks, the increased risk of poor sleep quality indicated by the majority of participants in both shift groups should be meaningful to nurses and organizations that employ nurses (Akerstedt et al., 2007; Benham, 2010). "
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    ABSTRACT: Using the Neuman Systems Model framework, the relationship between shift worked, quality of sleep, and body mass index (BMI) was explored in nurses working at least 8hours per shift on units providing 24-hour care at a Magnet recognized, Midwestern free-standing pediatric hospital. Electronic surveys collected demographic data and the Pittsburgh Quality of Sleep Index (PSQI) measured sleep quality. Sleep quality was not significantly correlated to elevated BMI >30. Night shift participants' reported fairly bad to very bad sleep quality scores at higher rates than day shift participants. Study findings will inform nurses and organizations concerned with maintaining a healthy workforce.
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    • "Alternatively, work engagement provides motivation for workers to allocate their resources to the work domain because they find such resource expenditures to be psychologically rewarding and fulfilling (Kahn, 1990, 1992). Following COR theory, good sleep hygiene practices may serve as a way to replenish and build emotional, mental and physical resources (Barber et al., 2010a; Benham, 2010; Hagger, 2010) that are used to effectively respond to work demands. As mentioned previously, research has shown that poor sleep hygiene may decrease resource replenishment, as it predicts subsequently higher emotional reactivity (Hamilton et al., 2007; Zohar et al., 2005), burnout (Ekstedt et al., 2009) and poorer self-regulatory functioning (Barber & Munz, 2011; Bates et al., 2002). "
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    ABSTRACT: Previous research has emphasized facets of both the organizational environment and individual differences as predictors of work engagement. This study explored sleep hygiene as another important behavioural factor that may be related to work engagement. With a sample of 328 adult workers, we tested a multiple mediator model in which sleep hygiene predicts work engagement through one's appraisals of resource depletion stemming from demands (psychological strain) and general self-regulatory capacity (self-control). Results indicated that individuals who frequently engaged in poor sleep hygiene behaviours had lower self-regulatory capacity, experienced higher subjective depletion and were less engaged at work. Additionally, the path from poor sleep hygiene to decreased work engagement was attributed to perceptions of personal resources that are needed to exert self-regulatory energy at work. This is consistent with current self-regulatory theories suggesting that individuals have a limited amount of resources to allocate to demands and that the depletion of these resources can lead to stress and lower self-regulatory functioning in response to other demands. Specifically, poor sleep hygiene results in the loss of self-regulatory resources needed to be engaged in work tasks by impairing the after-work recovery process. Practical and research implications regarding sleep hygiene interventions for well-being and productivity improvement are discussed. Copyright © 2012 John Wiley & Sons, Ltd.
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