2021
DOI: 10.1007/s10865-021-00207-z
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Individual and joint associations of daily sleep and stress with daily well-being in hospital nurses: an ecological momentary assessment and actigraphy study

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Cited by 11 publications
(11 citation statements)
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“…The experience of disrupted sleep is not surprising – not only are stressful events known to impair normal sleep, but there is also an association between anxiety, depression and sleep disturbances [ 50 , 51 ]. The detrimental effect of sleep disturbances on physical health and well-being [ 52 , 53 ], is a concern at any time, but especially so during a pandemic when HCWs are working longer hours and under greater demands than usual.…”
Section: Discussionmentioning
confidence: 99%
“…The experience of disrupted sleep is not surprising – not only are stressful events known to impair normal sleep, but there is also an association between anxiety, depression and sleep disturbances [ 50 , 51 ]. The detrimental effect of sleep disturbances on physical health and well-being [ 52 , 53 ], is a concern at any time, but especially so during a pandemic when HCWs are working longer hours and under greater demands than usual.…”
Section: Discussionmentioning
confidence: 99%
“…EMA sleep variables not included here are reported elsewhere, and items were adapted from questions in previous work (Buxton et al, 2016; Buysse et al, 1989; Lee et al, 2019, 2021; Vigoureux & Lee, 2021). TIB was assessed as the difference between bedtime (i.e., “When did you go to bed last night [that is, get into bed with the intention of sleeping]?”) and waketime (i.e., “When did you get up this morning?”).…”
Section: Methodsmentioning
confidence: 99%
“…Due to missingness in sleep variables, 655–720 daily observations were used in analyses. The EMA time in bed variable had the greatest missingness, and comparisons between those with high versus low missingness can be found elsewhere (Vigoureux & Lee, 2021). Proc Glimmix with Poisson distribution was used for models predicting stressor frequency, and Proc Mixed was used for models predicting stressor severity.…”
Section: Methodsmentioning
confidence: 99%