Acute Versus Chronic Partial Sleep Deprivation in Middle-Aged People: Differential Effect on Performance and Sleepiness

Philip, Pierre; Sagaspe, Patricia; Prague, Mélanie; Tassi, Patricia; Capelli, Aurore; Bioulac, Bernard; Commenges, Daniel; Taillard, Jacques

doi:10.5665/sleep.1968

Cited by 67 publications

(58 citation statements)

References 15 publications

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“…These findings are in line with studies showing most [23,24,25,26,27,28,29,30], but not all [30,31] neurobehavioral responses recover similarly after TSD or SR. Intake differences following recovery sleep may be due to variations in sleep duration, timing, quality and architecture. Notably, these sleep parameters, which may differ when recovering after TSD versus SR, have been shown to modulate the percentage of caloric intake derived from protein as well as other energy balance measures [35,38,39,40,41,42,43].…”

Section: Discussionsupporting

confidence: 91%

“…Whether this recovery and its time course is similar following sleep restriction and total sleep deprivation remains unknown. Although the time course for recovery for some objective and subjective measures of sleepiness and cognitive performance from sleep restriction and total sleep deprivation is similar [23,24,25,26,27,28,29,30], this is not true for all tests [30,31]. Thus, it is possible that recovery of energy balance measures may differ depending on the type of sleep loss experienced.…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic Stability of Energy Balance Responses to Experimental Total Sleep Deprivation and Sleep Restriction in Healthy Adults

2016

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Experimental studies have shown that sleep restriction (SR) and total sleep deprivation (TSD) produce increased caloric intake, greater fat consumption, and increased late-night eating. However, whether individuals show similar energy intake responses to both SR and TSD remains unknown. A total of N = 66 healthy adults (aged 21–50 years, 48.5% women, 72.7% African American) participated in a within-subjects laboratory protocol to compare daily and late-night intake between one night of SR (4 h time in bed, 04:00–08:00) and one night of TSD (0 h time in bed) conditions. We also examined intake responses during subsequent recovery from SR or TSD and investigated gender differences. Caloric and macronutrient intake during the day following SR and TSD were moderately to substantially consistent within individuals (Intraclass Correlation Coefficients: 0.34–0.75). During the late-night period of SR (22:00–04:00) and TSD (22:00–06:00), such consistency was slight to moderate, and participants consumed a greater percentage of calories from protein (p = 0.01) and saturated fat (p = 0.02) during SR, despite comparable caloric intake (p = 0.12). Similarly, participants consumed a greater percentage of calories from saturated fat during the day following SR than TSD (p = 0.03). Participants also consumed a greater percentage of calories from protein during recovery after TSD (p < 0.001). Caloric intake was greater in men during late-night hours and the day following sleep loss. This is the first evidence of phenotypic trait-like stability and differential vulnerability of energy balance responses to two commonly experienced types of sleep loss: our findings open the door for biomarker discovery and countermeasure development to predict and mitigate this critical health-related vulnerability.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Phenotypic Stability of Energy Balance Responses to Experimental Total Sleep Deprivation and Sleep Restriction in Healthy Adults

2016

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“…[14] Further, studies have shown adaptation to sleep deprivation after three nights, which would explain why experienced surgeons who are presumably adapted to sleeplessness did not show a difference in performance with acute sleep deprivation. [15] This finding does support the July 2011 addition to the ACGME duty-hours rules. In the 2011 update to the rules, residents in their final years of training are allowed to stay beyond the 80-work hours, or return to work in less than 8 hours, upon approval from their program director.…”

Section: Discussionmentioning

confidence: 87%

“…Perhaps taking into account the subjects’ past three nights’ sleep hours, as in other studies, we would have seen worse performance in sleep deprived residents as well. [15] In addition, with a larger number of subjects the fatigue group performance on FLS might have reached statistical significance. Further investigation is needed to provide evidence to examine the complex relationship between sleep, fatigue, and clinical performance in order to support the practice of work-hour restriction for surgical residents.…”

Section: Discussionmentioning

confidence: 99%

Effects of sleep hours and fatigue on performance in laparoscopic surgery simulators

et al. 2014

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Background Studies on a virtual reality simulator have demonstrated that sleep-deprived residents make more errors. Work-hour restrictions were implemented, among other reasons, to ensure enough sleep time for residents. The objective of this study was to assess the effects of sleep time, perceived fatigue, and experience on surgical performance. We hypothesized that performance would decrease with less sleep and fatigue, and that experienced surgeons would perform better than less experienced surgeons despite sleep deprivation and fatigue. Methods Twenty-two surgical residents and attendings performed a peg transfer task on two simulators: the Fundamentals of Laparoscopic Skills (FLS) trainer and the Virtual Basic Laparoscopic Surgical Trainer (VBLaST©), a virtual version of the FLS. Participants also completed questionnaires to assess their fatigue level and recent sleep hours. Each subject performed 10 trials on each simulator in a counterbalanced order. Performance was measured using the FLS normalized scores, and analyzed using a multiple regression model. Results The multiple regression analysis showed that sleep hours and perceived fatigue were not covariates. No correlation was found between experience level and sleep hours or fatigue. Sleep hours and fatigue did not appear to affect performance. Expertise level was the only significant determinant of performance in both FLS and VBLaST©. Conclusions Restricting resident work-hours was expected to result in less fatigue and better clinical performance. In our study, peg transfer task performance was not affected by sleep hours. Experience level was a significant indicator of performance. Further examination of the complex relationship between sleep hour, fatigue, and clinical performance is needed to support the practice of work-hour restriction for surgical residents.

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“…48 Th is shift in focus may be due to the greater societal prevalence of partial sleep loss as a result of medical conditions and sleep disorders, as well as lifestyle factors (e.g., shiftwork, jet lag, prolonged work hours). 5 Partial sleep deprivation results from sleep restriction, which can occur due to work-scheduling factors and/or poor sleep habits; sleep fragmentation, which occurs with certain sleep disorders (e.g., untreated obstructive sleep apnea); or selective sleep stage deprivation, which can occur if sleep fragmentation is isolated to a specifi c sleep stage (e.g., when apneic episodes disrupt primarily one stage of sleep such as REM sleep).…”

Section: General Types Of Sleep Disturbancesmentioning

confidence: 99%

Screening for Sleep Apnea in Morbidly Obese Pilots

Ruskin

Caldwell²,

Caldwell

et al. 2015

aerosp med hum perform

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Debate regarding the merits of screening pilots for sleep apnea has been stimulated by recently issued guidance from the Federal Aviation Administration. It has long been appreciated that sleep apnea results in poor quality sleep, and that poor quality sleep is associated with daytime fatigue and decrements in performance. However, the relationship between sleep apnea and poor performance, including risk for accidents is not as well understood. Good quality data are available for commercial truck drivers and have helped influence transportation policy, but there is a lack of pilot specific data. The purpose of this article is to review the basic epidemiology, pathophysiology, and treatment of sleep apnea, including major risk factors for apnea, such as body mass index (BMI), and to look at what is known about the impact of sleep apnea on performance in transportation related occupations. While pilot specific data may be lacking, good quality data for commercial truckers are available and can be used to formulate rational public policy with the goal of improving aviation safety. This article was reviewed by the Council of the Aerospace Medical Association and approved as a position paper of the Association.

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Acute Versus Chronic Partial Sleep Deprivation in Middle-Aged People: Differential Effect on Performance and Sleepiness

Abstract: Philip P; Sagaspe P; Prague M; Tassi P; Capelli A; Bioulac B; Commenges D; Taillard J. Acute versus chronic partial sleep deprivation in middle-aged people: differential effect on performance and sleepiness. SLEEP 2012;35(7):997-1002.

Cited by 67 publications

References 15 publications

Phenotypic Stability of Energy Balance Responses to Experimental Total Sleep Deprivation and Sleep Restriction in Healthy Adults

Phenotypic Stability of Energy Balance Responses to Experimental Total Sleep Deprivation and Sleep Restriction in Healthy Adults

Effects of sleep hours and fatigue on performance in laparoscopic surgery simulators

Screening for Sleep Apnea in Morbidly Obese Pilots

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