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      Quick returns, sleep, sleepiness and stress – An intra-individual field study on objective sleep and diary data

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          Abstract

          Objectives

          Quick returns (<11 hours of rest between shifts) have been associated with shortened sleep length and increased sleepiness, but previous efforts have failed to find effects on sleep quality or stress. A shortcoming of most previous research has been the reliance on subjective measures of sleep. The aim of this study was to combine diary and actigraphy data to investigate intra-individual differences in sleep length, sleep quality, sleepiness, and stress during quick returns compared to day-day transitions.

          Methods

          Of 225 nurses and assistant nurses who wore actigraphy wristbands and kept a diary of work and sleep for seven days, a subsample of 90 individuals with one observation of both a quick return and a control condition (day-day transition) was extracted. Sleep quality was assessed with actigraphy data on sleep fragmentation and subjective ratings of perceived sleep quality. Stress and sleepiness levels were rated every third hour throughout the day. Shifts were identified from self-reported working hours. Data was analyzed in multilevel models.

          Results

          Quick returns were associated with 1 hour shorter sleep length [95% confidence interval (CI) -1.23– -0.81], reduced subjective sleep quality (-0.49, 95% CI -0.69– -0.31), increased anxiety at bedtime (-0.38, 95% CI -0.69– -0.08) and increased worktime sleepiness (0.45, 95%CI 0.22– 0.71), compared to day-day transitions. Sleep fragmentation and stress ratings did not differ between conditions.

          Conclusions

          The findings of impaired sleep and increased sleepiness highlight the need for caution when scheduling shift combinations with quick returns.

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          Most cited references30

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Random effects structure for confirmatory hypothesis testing: Keep it maximal.

            Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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              Subjective and Objective Sleepiness in the Active Individual

              Eight subjects were kept awake and active overnight in a sleep lab isolated from environmental time cues. Ambulatory EEG and EOG were continuously recorded and sleepiness ratings carried out every two hours as was a short EEG test session with eyes open for 5 min and closed for 2 min. The EEG was subjected to spectral analysis and the EOG was visually scored for slow rolling eye movements (SEM). Intrusions of SEM and of alpha and theta power density during waking, open-eyed activity strongly differentiated between high and low subjective sleepiness (the differentiation was poorer for closed eyes) and the mean intraindividual correlations between subjective and objective sleepiness were very high. Still, the covariation was curvilinear; physiological indices of sleepiness did not occur reliably until subjective perceptions fell between "sleepy" and "extremely sleepy-fighting sleep"; i.e. physiological changes due to sleepiness are not likely to occur until extreme sleepiness is encountered. The results support the notion that ambulatory EEG/EOG changes may be used to quantify sleepiness.
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                Author and article information

                Contributors
                Role: doctoral student
                Journal
                Scand J Work Environ Health
                Scand J Work Environ Health
                SJWEH
                Scandinavian Journal of Work, Environment & Health
                Nordic Association of Occupational Safety and Health (Finland )
                0355-3140
                1795-990X
                1 September 2024
                30 June 2024
                30 August 2024
                : 50
                : 6
                : 466-474
                Affiliations
                [1 ]The division of Psychology, Department of Clinical Neuroscience, Karolinska Institute, Solna , Sweden.
                [2 ]deptStress Research Institute, Department of Psychology , Stockholm University , Stockholm, , Sweden.
                [3 ]deptSchool of Psychology , Swansea University , Swansea, , UK.
                Author notes
                Correspondence to: Kristin Öster, Doctoral student, Karolinska Institutet, Department of Clinical Neuroscience, Division of Psychology, Nobels väg 9, S-171 65 Solna, Sweden. [E-mail: kristin.oster@ 123456ki.se ]
                Article
                4175
                10.5271/sjweh.4175
                11393759
                38944887
                5fb0c604-78dd-4690-ad20-f640ccb34fab
                Copyright: © Scandinavian Journal of Work, Environment & Health

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 22 December 2023
                Categories
                Original Article

                actigraphy,backward rotation,fatigue,recovery,safety,shift work,work schedule tolerance

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