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Wüst LN, Capdevila NC, Lane LT, Reichert CF, Lasauskaite R. Impact of one night of sleep restriction on sleepiness and cognitive function: A systematic review and meta-analysis. Sleep Med Rev 2024; 76:101940. [PMID: 38759474 DOI: 10.1016/j.smrv.2024.101940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/24/2024] [Accepted: 04/16/2024] [Indexed: 05/19/2024]
Abstract
Detrimental consequences of chronic sleep restriction on cognitive function are well established in the literature. However, effects of a single night of sleep restriction remain equivocal. Therefore, we synthesized data from 44 studies to investigate effects of sleep restriction to 2-6 h sleep opportunity on sleepiness and cognition in this meta-analysis. We investigated subjective sleepiness, sustained attention, choice reaction time, cognitive throughput, working memory, and inhibitory control. Results revealed a significant increase in subjective sleepiness following one night of sleep restriction (Standardized Mean Difference (SMD) = 0.986, p < 0.001), while subjective sleepiness was not associated with sleep duration during sleep restriction (β = -0.214, p = 0.039, significance level 0.01). Sustained attention, assessed via common 10-min tasks, was impaired, as demonstrated through increased reaction times (SMD = 0.512, p < 0.001) and attentional lapses (SMD = 0.489, p < 0.001). However, the degree of impaired attention was not associated with sleep duration (ps > 0.090). We did not find significant effects on choice reaction time, cognitive throughput, working memory, or inhibitory control. Overall, results suggest that a single night of restricted sleep can increase subjective sleepiness and impair sustained attention, a cognitive function crucial for everyday tasks such as driving.
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Affiliation(s)
- Larissa N Wüst
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
| | - Noëmi C Capdevila
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Lina T Lane
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Carolin F Reichert
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Ruta Lasauskaite
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
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2
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Murray JM, Stone JE, Abbott SM, Bjorvatn B, Burgess HJ, Cajochen C, Dekker JJ, Duffy JF, Epstein LJ, Garbazza C, Harsh J, Klerman EB, Lane JM, Lockley SW, Pavlova MK, Quan SF, Reid KJ, Scheer FAJL, Sletten TL, Wright KP, Zee PC, Phillips AJK, Czeisler CA, Rajaratnam SMW. A Protocol to Determine Circadian Phase by At-Home Salivary Dim Light Melatonin Onset Assessment. J Pineal Res 2024; 76:e12994. [PMID: 39158010 DOI: 10.1111/jpi.12994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 07/07/2024] [Accepted: 07/11/2024] [Indexed: 08/20/2024]
Abstract
Internal circadian phase assessment is increasingly acknowledged as a critical clinical tool for the diagnosis, monitoring, and treatment of circadian rhythm sleep-wake disorders and for investigating circadian timing in other medical disorders. The widespread use of in-laboratory circadian phase assessments in routine practice has been limited, most likely because circadian phase assessment is not required by formal diagnostic nosologies, and is not generally covered by insurance. At-home assessment of salivary dim light melatonin onset (DLMO, a validated circadian phase marker) is an increasingly accepted approach to assess circadian phase. This approach may help meet the increased demand for assessments and has the advantages of lower cost and greater patient convenience. We reviewed the literature describing at-home salivary DLMO assessment methods and identified factors deemed to be important to successful implementation. Here, we provide specific protocol recommendations for conducting at-home salivary DLMO assessments to facilitate a standardized approach for clinical and research purposes. Key factors include control of lighting, sampling rate, and timing, and measures of patient compliance. We include findings from implementation of an optimization algorithm to determine the most efficient number and timing of samples in patients with Delayed Sleep-Wake Phase Disorder. We also provide recommendations for assay methods and interpretation. Providing definitive criteria for each factor, along with detailed instructions for protocol implementation, will enable more widespread adoption of at-home circadian phase assessments as a standardized clinical diagnostic, monitoring, and treatment tool.
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Affiliation(s)
- Jade M Murray
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Julia E Stone
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Sabra M Abbott
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Bjorn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway
| | - Helen J Burgess
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Christian Cajochen
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel (UPK), Basel, Switzerland
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Jip J Dekker
- Department of Data Science and AI, Monash University, Melbourne, Victoria, Australia
| | - Jeanne F Duffy
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Lawrence J Epstein
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Corrado Garbazza
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel (UPK), Basel, Switzerland
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - John Harsh
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Elizabeth B Klerman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jacqueline M Lane
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Steven W Lockley
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Milena K Pavlova
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stuart F Quan
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Kathryn J Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Tracey L Sletten
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Phyllis C Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Andrew J K Phillips
- Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Bedford Park, South Australia, Australia
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Shantha M W Rajaratnam
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
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3
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Gruber R, Gauthier-Gagné G, Little C, Fu Z. The Associations between the Homeostatic and Circadian Sleep Processes and the Neurobehavioral Functioning (NBF) of Individuals with ADHD-A Systematic Review. Brain Sci 2023; 13:1134. [PMID: 37626491 PMCID: PMC10452539 DOI: 10.3390/brainsci13081134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/21/2023] [Accepted: 07/22/2023] [Indexed: 08/27/2023] Open
Abstract
The objective of the present review was to systematically examine associations between perturbations of the homeostatic or circadian sleep processes and the neurobehavioral functioning (NBF) of individuals with ADHD. Electronic databases were searched for articles published between December 2013 and March 2023. Studies were included if they used objective measures of NBF, used objective or subjective measures of sleep, and focused on individuals with ADHD. Ten studies met these inclusion criteria. Of these, eight studies found perturbations in the interplay between NBF and Process S or Process C, and three studies did not. The quality of the studies was degraded because they failed to address key factors that affect the sleep processes and by the presence of methodological weaknesses. Our review suggests that homeostatic and circadian sleep processes are associated with NBF in individuals with ADHD. However, to confirm the validity of this conclusion, future studies should examine or control for confounders and utilize experimental designs that allow causality to be inferred.
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Affiliation(s)
- Reut Gruber
- Attention, Behaviour and Sleep Laboratory, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montréal, QC H3A 0GA, Canada
| | - Gabrielle Gauthier-Gagné
- Attention, Behaviour and Sleep Laboratory, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
- Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, QC H3A 0G4, Canada
| | - Charlotte Little
- Attention, Behaviour and Sleep Laboratory, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
| | - Ziqi Fu
- Attention, Behaviour and Sleep Laboratory, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
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4
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Yeo SC, Lai CKY, Tan J, Lim S, Chandramoghan Y, Tan TK, Gooley JJ. Early morning university classes are associated with impaired sleep and academic performance. Nat Hum Behav 2023; 7:502-514. [PMID: 36806401 PMCID: PMC10129866 DOI: 10.1038/s41562-023-01531-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 01/17/2023] [Indexed: 02/22/2023]
Abstract
Attending classes and sleeping well are important for students' academic success. Here, we tested whether early morning classes are associated with lower attendance, shorter sleep and poorer academic achievement by analysing university students' digital traces. Wi-Fi connection logs in 23,391 students revealed that lecture attendance was about ten percentage points lower for classes at 08:00 compared with later start times. Diurnal patterns of Learning Management System logins in 39,458 students and actigraphy data in 181 students demonstrated that nocturnal sleep was an hour shorter for early classes because students woke up earlier than usual. Analyses of grades in 33,818 students showed that the number of days per week they had morning classes was negatively correlated with grade point average. These findings suggest concerning associations between early morning classes and learning outcomes.
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Affiliation(s)
- Sing Chen Yeo
- Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Clin K Y Lai
- Institute for Applied Learning Sciences and Educational Technology, National University of Singapore, Singapore, Singapore
| | - Jacinda Tan
- Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Samantha Lim
- Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Yuvan Chandramoghan
- Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Teck Kiang Tan
- Institute for Applied Learning Sciences and Educational Technology, National University of Singapore, Singapore, Singapore
| | - Joshua J Gooley
- Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
- Institute for Applied Learning Sciences and Educational Technology, National University of Singapore, Singapore, Singapore.
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5
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Kunorozva L, Rae DE, Roden LC. Dim light melatonin onset following simulated eastward travel is earlier in young males genotyped as PER35/5 than PER34/4. Chronobiol Int 2022; 39:1611-1623. [PMID: 36324294 DOI: 10.1080/07420528.2022.2139184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Inter-individual variability exists in recovery from jetlag following travel across time zones. Part of this variation may be due to genetic differences at the variable number tandem repeat (VNTR) polymorphism of the PERIOD3 (PER3) gene as this polymorphism has been associated with chronotype and sleep, as well as sensitivity to blue light on melatonin suppression. To test this hypothesis we conducted a laboratory-based study to compare re-entrainment in males genotyped as PER34/4 (n = 8) and PER35/5 (n = 8) following simulated eastward travel across six time zones. The recovery strategy included morning blue-enriched light exposure and appropriately-timed meals during the first 24 h after simulated travel. Dim light melatonin onset (DLMO), sleep characteristics, perceived sleepiness levels (Stanford Sleepiness Scale), and resting metabolic parameters were measured during constant routine periods before and after simulated travel. While DLMO time was similar between the two groups prior to simulated eastward travel (p = .223), it was earlier in the PER35/5 group (17h23 (17h15; 17h37)) than the PER34/4 group (18h05 (17h53; 18h12)) afterwards (p = .046). During resynchronisation, perceived sleepiness and metabolic parameters were similar to pre-travel in both groups but sleep was more disturbed in the PER35/5 group (total sleep time: p = .008, sleep efficiency: p = .008, wake after sleep onset: p = .023). The PER3 VNTR genotype may influence the efficacy of re-entrainment following trans-meridian travel when blue-enriched light exposure is incorporated into the recovery strategy on the first day following travel.
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Affiliation(s)
- Lovemore Kunorozva
- Department of Molecular and Cell Biology, University of Cape Town, Private Bag Rondebosch, Cape Town, South Africa.,Division of Sleep Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Dale E Rae
- Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Laura C Roden
- Department of Molecular and Cell Biology, University of Cape Town, Private Bag Rondebosch, Cape Town, South Africa.,Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Centre for Sport, Exercise and Life Sciences/School of Life Sciences, Coventry University, Coventry, UK
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6
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Meyer N, Harvey AG, Lockley SW, Dijk DJ. Circadian rhythms and disorders of the timing of sleep. Lancet 2022; 400:1061-1078. [PMID: 36115370 DOI: 10.1016/s0140-6736(22)00877-7] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 03/20/2022] [Accepted: 05/05/2022] [Indexed: 02/06/2023]
Abstract
The daily alternation between sleep and wakefulness is one of the most dominant features of our lives and is a manifestation of the intrinsic 24 h rhythmicity underlying almost every aspect of our physiology. Circadian rhythms are generated by networks of molecular oscillators in the brain and peripheral tissues that interact with environmental and behavioural cycles to promote the occurrence of sleep during the environmental night. This alignment is often disturbed, however, by contemporary changes to our living environments, work or social schedules, patterns of light exposure, and biological factors, with consequences not only for sleep timing but also for our physical and mental health. Characterised by undesirable or irregular timing of sleep and wakefulness, in this Series paper we critically examine the existing categories of circadian rhythm sleep-wake disorders and the role of the circadian system in their development. We emphasise how not all disruption to daily rhythms is driven solely by an underlying circadian disturbance, and take a broader, dimensional approach to explore how circadian rhythms and sleep homoeostasis interact with behavioural and environmental factors. Very few high-quality epidemiological and intervention studies exist, and wider recognition and treatment of sleep timing disorders are currently hindered by a scarcity of accessible and objective tools for quantifying sleep and circadian physiology and environmental variables. We therefore assess emerging wearable technology, transcriptomics, and mathematical modelling approaches that promise to accelerate the integration of our knowledge in sleep and circadian science into improved human health.
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Affiliation(s)
- Nicholas Meyer
- Insomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals NHS Foundation Trust, London, UK; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, UK
| | - Allison G Harvey
- Department of Psychology, University of California, Berkeley, CA, USA
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK; UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London and the University of Surrey, Guildford, UK.
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7
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Lim JYL, Boardman J, Dyche J, Anderson C, Dickinson DL, Drummond SPA. Sex moderates the effects of total sleep deprivation and sleep restriction on risk preference. Sleep 2022; 45:6603432. [PMID: 35667000 PMCID: PMC9453615 DOI: 10.1093/sleep/zsac120] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/16/2022] [Indexed: 11/24/2022] Open
Abstract
Sleep loss has been shown to alter risk preference during decision-making. However, research in this area has largely focussed on the effects of total sleep deprivation (TSD), while evidence on the effects of sleep restriction (SR) or the potentially moderating role of sex on risk preference remains scarce and unclear. The present study investigated risky decision-making in 47 healthy young adults who were assigned to either of two counterbalanced protocols: well-rested (WR) and TSD, or WR and SR. Participants were assessed on the Lottery Choice Task (LCT), which requires a series of choices between two risky gambles with varying risk levels. Analyses on the pooled dataset indicated across all sleep conditions, participants were generally more risk-seeking when trying to minimise financial loss (LOSSES) than while trying to maximise financial gain (GAINS). On GAINS trials, female participants were more risk-averse during TSD and SR, whereas male participants remained unchanged. On LOSSES trials, female participants remained unchanged during TSD and SR, whereas male participants became more risk-seeking during TSD. Our findings suggest the relationship between sleep loss and risk preference is moderated by sex, whereby changes in risk preference after TSD or SR differ in men and women depending on whether the decision is framed in terms of gains or losses.
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Affiliation(s)
- Jeryl Y L Lim
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University , Melbourne, VIC , Australia
| | - Johanna Boardman
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University , Melbourne, VIC , Australia
| | - Jeff Dyche
- Department of Psychology, James Madison University , Harrisonburg, VA , USA
| | - Clare Anderson
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University , Melbourne, VIC , Australia
| | - David L Dickinson
- Department of Economics and CERPA, Appalachian State University , Boone, NC , USA
- Economics Science Institute, Chapman University , Orange, CA , USA
- Institute of Labor Economics , Bonn , Germany
| | - Sean P A Drummond
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University , Melbourne, VIC , Australia
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8
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Sletten TL, Sullivan JP, Arendt J, Palinkas LA, Barger LK, Fletcher L, Arnold M, Wallace J, Strauss C, Baker RJS, Kloza K, Kennaway DJ, Rajaratnam SMW, Ayton J, Lockley SW. The role of circadian phase in sleep and performance during Antarctic winter expeditions. J Pineal Res 2022; 73:e12817. [PMID: 35833316 PMCID: PMC9541096 DOI: 10.1111/jpi.12817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/23/2022] [Accepted: 07/06/2022] [Indexed: 11/29/2022]
Abstract
The Antarctic environment presents an extreme variation in the natural light-dark cycle which can cause variability in the alignment of the circadian pacemaker with the timing of sleep, causing sleep disruption, and impaired mood and performance. This study assessed the incidence of circadian misalignment and the consequences for sleep, cognition, and psychological health in 51 over-wintering Antarctic expeditioners (45.6 ± 11.9 years) who completed daily sleep diaries, and monthly performance tests and psychological health questionnaires for 6 months. Circadian phase was assessed via monthly 48-h urine collections to assess the 6-sulphatoxymelatonin (aMT6s) rhythm. Although the average individual sleep duration was 7.2 ± 0.8 h, there was substantial sleep deficiency with 41.4% of sleep episodes <7 h and 19.1% <6 h. Circadian phase was highly variable and 34/50 expeditioners had sleep episodes that occurred at an abnormal circadian phase (acrophase outside of the sleep episode), accounting for 18.8% (295/1565) of sleep episodes. Expeditioners slept significantly less when misaligned (6.1 ± 1.3 h), compared with when aligned (7.3 ± 1.0 h; p < .0001). Performance and mood were worse when awake closer to the aMT6s peak and with increased time awake (all p < .0005). This research highlights the high incidence of circadian misalignment in Antarctic over-wintering expeditioners. Similar incidence has been observed in long-duration space flight, reinforcing the fidelity of Antarctica as a space analog. Circadian misalignment has considerable safety implications, and potentially longer term health risks for other circadian-controlled physiological systems. This increased risk highlights the need for preventative interventions, such as proactively planned lighting solutions, to ensure circadian alignment during long-duration Antarctic and space missions.
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Affiliation(s)
- Tracey L. Sletten
- Turner Institute for Brain and Mental Health and School of Psychological SciencesMonash UniversityVictoriaAustralia
| | - Jason P. Sullivan
- Division of Sleep and Circadian Disorders, Departments of Medicine and NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Josephine Arendt
- Faculty of Health and Medical SciencesUniversity of SurreyGuildfordSurreyUK
| | - Lawrence A. Palinkas
- Suzanne Dworak‐Peck School of Social WorkUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Laura K. Barger
- Turner Institute for Brain and Mental Health and School of Psychological SciencesMonash UniversityVictoriaAustralia
- Division of Sleep and Circadian Disorders, Departments of Medicine and NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
- Division of Sleep Medicine, Harvard Medical SchoolBostonMassachusettsUSA
| | - Lloyd Fletcher
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | - Malcolm Arnold
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | - Jan Wallace
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | - Clive Strauss
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | | | - Kate Kloza
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | - David J. Kennaway
- Robinson Research Institute, School of Medicine, Discipline of Obstetrics and GynaecologyUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Shantha M. W. Rajaratnam
- Turner Institute for Brain and Mental Health and School of Psychological SciencesMonash UniversityVictoriaAustralia
- Division of Sleep and Circadian Disorders, Departments of Medicine and NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
- Division of Sleep Medicine, Harvard Medical SchoolBostonMassachusettsUSA
| | - Jeff Ayton
- Polar Medicine Unit, Australian Antarctic DivisionKingstonTasmaniaAustralia
| | - Steven W. Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
- Division of Sleep Medicine, Harvard Medical SchoolBostonMassachusettsUSA
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9
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Dermanowski MM, Hejduk A, Kuczyńska J, Wichniak A, Urbańska A, Mierzejewski P. Assessment of dim light melatonin onset based on plasma and saliva samples. Chronobiol Int 2022; 39:626-635. [PMID: 35168448 DOI: 10.1080/07420528.2021.2016796] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Melatonin (MELA) is a nocturnal hormone involved in the regulation of the circadian rhythm. MELA can be detected in plasma and saliva, and its salivary concentration strongly correlates with its plasma concentration. Dim light melatonin onset (DLMO) is considered to be the most accurate objective marker for assessing the circadian phase. The purpose of the study was to establish a method for the determination of MELA in plasma and saliva based on the liquid chromatography with tandem mass spectrometry (LC-MS/MS) and compare DLMO using both plasma and saliva matrices. The validation of the LC-MS/MS methods was performed in accordance with the European Medicines Agency (EMA) guideline. The study was conducted on a group of 21 volunteers, male and females, aged 26-54 years. Plasma and saliva were collected at five time points: between 20:00 and 00:00 hours. The MELA concentration was determined by the LC-MS/MS. The DLMO was considered as the point in time when MELA concentration exceeds 20 pg/mL in plasma and 7 pg/mL in saliva. The correlation coefficient between the plasma and salivary MELA concentration was r = 0.764 (p < .001). The ratio of the plasma/saliva MELA concentrations was 2.87. The mean time of the DLMO in the plasma was 21:30 ± 0:45 hours, and in the saliva was as follows: 21:34 ± 1:00 hours. The correlation between the DLMO, calculated based on the plasma and saliva MELA profiles, was r = 0.679 (p < .05). The determination of salivary MELA concentration using LC-MS/MS allows for the determination of the DLMO. Our method may be applied in clinical practice for the diagnosis and monitoring of circadian rhythm disorders.Abbreviations: CE: Collision Energy; CID: Collision-Induced Dissociation; DL: Desolvation Module; DLMO: Dim Light Melatonin Onset; EFSA: European Food Safety Authority; EMA: European Medicines Agency; ESI: electrospray ionization; HB: heat block; HPLC: high performance liquid chromatography; IS: internal standard; K3EDTA: ethylenediaminetetraacetic acid tripotassium salt; LC-MS/MS: liquid chromatography with tandem mass spectrometry; LLE: liquid-liquid extraction; LLOQ: lower limit of quantification; MELA: melatonin; MELA-D4: melatonin-d4; MRM: multiple reaction monitoring; Q1: quadrupole 1; Q3: quadrupole 3; RE: relative error; RIA: radioimmunoassay; RSD: relative standard deviation; SD: standard deviation; ULOQ: upper limit of quantification.
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Affiliation(s)
| | - Arkadiusz Hejduk
- Chair and Department of Pharmaceutical Technology, Faculty of Pharmacy, Poznan University of Medical Sciences, Poznan, Poland.,Research and Development Department, LEK-AM Pharmaceutical Company Ltd, Zakroczym, Poland
| | - Julita Kuczyńska
- Department of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Adam Wichniak
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Agnieszka Urbańska
- Research and Development Department, LEK-AM Pharmaceutical Company Ltd, Zakroczym, Poland
| | - Paweł Mierzejewski
- Department of Pharmacology, Institute of Psychiatry and Neurology, Warsaw, Poland
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10
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St Hilaire MA, Lockley SW. Measuring Dim Light Melatonin Onset in Humans. Methods Mol Biol 2022; 2550:13-20. [PMID: 36180672 DOI: 10.1007/978-1-0716-2593-4_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The pineal melatonin rhythm provides a robust reference signal for the timing of the endogenous human circadian system. Dim light melatonin onset (DLMO) time is considered a gold-standard marker of the central circadian clock when measured from plasma or saliva. In this chapter, we describe the appropriate conditions for collecting plasma and salivary melatonin and the threshold method to calculate the DLMO.
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Affiliation(s)
- Melissa A St Hilaire
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
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11
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Galli O, Jones CW, Larson O, Basner M, Dinges DF. Predictors of interindividual differences in vulnerability to neurobehavioral consequences of chronic partial sleep restriction. Sleep 2021; 45:6433368. [PMID: 34897501 DOI: 10.1093/sleep/zsab278] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 11/09/2021] [Indexed: 11/14/2022] Open
Abstract
Interindividual differences in the neurobehavioral response to sleep loss are largely unexplained and phenotypic in nature. Numerous factors have been examined as predictors of differential response to sleep loss, but none have yielded a comprehensive view of the phenomenon. The present study examines the impact of baseline factors, habitual sleep-wake patterns, and homeostatic response to sleep loss on accrued deficits in psychomotor vigilance during chronic partial sleep restriction (SR), in a total of 306 healthy adults that participated in one of three independent laboratory studies. Findings indicate no significant impact of personality, academic intelligence, subjective reports of chronotype, sleepiness and fatigue, performance on working memory, and demographic factors such as sex, ethnicity, and body mass index, on neurobehavioral vulnerability to the negative effects of sleep loss. Only superior baseline performance on the psychomotor vigilance test and ability to sustain wakefulness on the maintenance of wakefulness test were associated with relative resilience to decrements in vigilant attention during SR. Interindividual differences in vulnerability to the effects of sleep loss were not accounted for by prior sleep history, habitual sleep patterns outside of the laboratory, baseline sleep architecture, or homeostatic sleep response during chronic partial SR. A recent theoretical model proposed that sleep-wake modulation may be influenced by competing internal and external demands which may promote wakefulness despite homeostatic and circadian signals for sleep under the right circumstances. Further research is warranted to examine the possibility of interindividual differences in the ability to prioritize external demands for wakefulness in the face of mounting pressure to sleep.
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Affiliation(s)
- Olga Galli
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher W Jones
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Olivia Larson
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David F Dinges
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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12
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Knock SA, Magee M, Stone JE, Ganesan S, Mulhall MD, Lockley SW, Howard ME, Rajaratnam SMW, Sletten TL, Postnova S. Prediction of shiftworker alertness, sleep, and circadian phase using a model of arousal dynamics constrained by shift schedules and light exposure. Sleep 2021; 44:zsab146. [PMID: 34111278 PMCID: PMC8598188 DOI: 10.1093/sleep/zsab146] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/13/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The study aimed to, for the first time, (1) compare sleep, circadian phase, and alertness of intensive care unit (ICU) nurses working rotating shifts with those predicted by a model of arousal dynamics; and (2) investigate how different environmental constraints affect predictions and agreement with data. METHODS The model was used to simulate individual sleep-wake cycles, urinary 6-sulphatoxymelatonin (aMT6s) profiles, subjective sleepiness on the Karolinska Sleepiness Scale (KSS), and performance on a Psychomotor Vigilance Task (PVT) of 21 ICU nurses working day, evening, and night shifts. Combinations of individual shift schedules, forced wake time before/after work and lighting, were used as inputs to the model. Predictions were compared to empirical data. Simulations with self-reported sleep as an input were performed for comparison. RESULTS All input constraints produced similar prediction for KSS, with 56%-60% of KSS scores predicted within ±1 on a day and 48%-52% on a night shift. Accurate prediction of an individual's circadian phase required individualized light input. Combinations including light information predicted aMT6s acrophase within ±1 h of the study data for 65% and 35%-47% of nurses on diurnal and nocturnal schedules. Minute-by-minute sleep-wake state overlap between the model and the data was between 81 ± 6% and 87 ± 5% depending on choice of input constraint. CONCLUSIONS The use of individualized environmental constraints in the model of arousal dynamics allowed for accurate prediction of alertness, circadian phase, and sleep for more than half of the nurses. Individual differences in physiological parameters will need to be accounted for in the future to further improve predictions.
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Affiliation(s)
- Stuart A Knock
- School of Physics, the University of Sydney, Camperdown, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
| | - Michelle Magee
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Julia E Stone
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Saranea Ganesan
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Megan D Mulhall
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Steven W Lockley
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark E Howard
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, VIC, Australia
| | - Shantha M W Rajaratnam
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Tracey L Sletten
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Svetlana Postnova
- School of Physics, the University of Sydney, Camperdown, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia
- Sydney Nano, the University of Sydney, Camperdown, NSW, Australia
- Woolcock Institute of Medical Research, Glebe, NSW, Australia
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13
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Weaver MD, Sletten TL, Foster RG, Gozal D, Klerman EB, Rajaratnam SMW, Roenneberg T, Takahashi JS, Turek FW, Vitiello MV, Young MW, Czeisler CA. Adverse impact of polyphasic sleep patterns in humans: Report of the National Sleep Foundation sleep timing and variability consensus panel. Sleep Health 2021; 7:293-302. [PMID: 33795195 DOI: 10.1016/j.sleh.2021.02.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 01/02/2023]
Abstract
Polyphasic sleep is the practice of distributing multiple short sleep episodes across the 24-hour day rather than having one major and possibly a minor ("nap") sleep episode each day. While the prevalence of polyphasic sleep is unknown, anecdotal reports suggest attempts to follow this practice are common, particularly among young adults. Polyphasic-sleep advocates claim to thrive on as little as 2 hours of total sleep per day. However, significant concerns have been raised that polyphasic sleep schedules can result in health and safety consequences. We reviewed the literature to identify the impact of polyphasic sleep schedules (excluding nap or siesta schedules) on health, safety, and performance outcomes. Of 40,672 potentially relevant publications, with 2,023 selected for full-text review, 22 relevant papers were retained. We found no evidence supporting benefits from following polyphasic sleep schedules. Based on the current evidence, the consensus opinion is that polyphasic sleep schedules, and the sleep deficiency inherent in those schedules, are associated with a variety of adverse physical health, mental health, and performance outcomes. Striving to adopt a schedule that significantly reduces the amount of sleep per 24 hours and/or fragments sleep into multiple episodes throughout the 24-hour day is not recommended.
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Affiliation(s)
- Matthew D Weaver
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Tracey L Sletten
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia
| | - Russell G Foster
- Sleep & Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - David Gozal
- Department of Child Health, University of Missouri, Columbia, Missouri, USA
| | - Elizabeth B Klerman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Shantha M W Rajaratnam
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia
| | - Till Roenneberg
- Institute for Medical Psychology, Ludwig Maximilian University of Munich, Munich, Germany
| | - Joseph S Takahashi
- Department of Neuroscience, The University of Texas Southwestern Medical Center, Dallas, Texas, USA; Howard Hughes Medical Institute, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Fred W Turek
- Center for Sleep and Circadian Biology, Department of Neurobiology, Northwestern University, Evanston, Illinois, USA
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Michael W Young
- Laboratory of Genetics, The Rockefeller University, New York, New York, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA.
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14
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Mathew GM, Strayer SM, Bailey DS, Buzzell K, Ness KM, Schade MM, Nahmod NG, Buxton OM, Chang AM. Changes in Subjective Motivation and Effort During Sleep Restriction Moderate Interindividual Differences in Attentional Performance in Healthy Young Men. Nat Sci Sleep 2021; 13:1117-1136. [PMID: 34285617 PMCID: PMC8286723 DOI: 10.2147/nss.s294409] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 04/13/2021] [Indexed: 01/01/2023] Open
Abstract
PURPOSE The effects of sleep restriction on subjective alertness, motivation, and effort vary among individuals and may explain interindividual differences in attention during sleep restriction. We investigated whether individuals with a greater decrease in subjective alertness or motivation, or a greater increase in subjective effort (versus other participants), demonstrated poorer attention when sleep restricted. PARTICIPANTS AND METHODS Fifteen healthy men (M±SD, 22.3±2.8 years) completed a study with three nights of 10-hour time in bed (baseline), five nights of 5-hour time in bed (sleep restriction), and two nights of 10-hour time in bed (recovery). Participants completed a 10-minute psychomotor vigilance task (PVT) of sustained attention and rated alertness, motivation, and effort every two hours during wake (range: 3-9 administrations on a given day). Analyses examined performance across the study (first two days excluded) moderated by per-participant change in subjective alertness, motivation, or effort from baseline to sleep restriction. For significant interactions, we investigated the effect of study day2 (day*day) on the outcome at low (mean-1 SD) and high (mean+1 SD) levels of the moderator (N = 15, all analyses). RESULTS False starts increased across sleep restriction in participants who reported lower (mean-1 SD) but not preserved (mean+1 SD) motivation during sleep restriction. Lapses increased across sleep restriction regardless of change in subjective motivation, with a more pronounced increase in participants who reported lower versus preserved motivation. Lapses increased across sleep restriction in participants who reported higher (mean+1 SD) but not preserved (mean-1 SD) effort during sleep restriction. Change in subjective alertness did not moderate the effects of sleep restriction on attention. CONCLUSION Vigilance declines during sleep restriction regardless of change in subjective alertness or motivation, but individuals with reduced motivation exhibit poorer inhibition. Individuals with preserved subjective alertness still perform poorly during sleep restriction, while those reporting additional effort demonstrate impaired vigilance.
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Affiliation(s)
- Gina Marie Mathew
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Stephen M Strayer
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - David S Bailey
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Katherine Buzzell
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Kelly M Ness
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Margeaux M Schade
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Nicole G Nahmod
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Orfeu M Buxton
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - Anne-Marie Chang
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA.,College of Nursing, Pennsylvania State University, University Park, PA, USA
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15
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Sletten TL, Raman B, Magee M, Ferguson SA, Kennaway DJ, Grunstein RR, Lockley SW, Rajaratnam SMW. A Blue-Enriched, Increased Intensity Light Intervention to Improve Alertness and Performance in Rotating Night Shift Workers in an Operational Setting. Nat Sci Sleep 2021; 13:647-657. [PMID: 34079409 PMCID: PMC8163632 DOI: 10.2147/nss.s287097] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/04/2021] [Indexed: 12/20/2022] Open
Abstract
PURPOSE This study examined the efficacy of a lighting intervention that increased both light intensity and short-wavelength (blue) light content to improve alertness, performance and mood in night shift workers in a chemical plant. PATIENTS AND METHODS During rostered night shifts, 28 workers (46.0±10.8 years; 27 male) were exposed to two light conditions each for two consecutive nights (~19:00-07:00 h) in a counterbalanced repeated measures design: traditional-spectrum lighting set at pre-study levels (43 lux, 4000 K) versus higher intensity, blue-enriched lighting (106 lux, 17,000 K), equating to a 4.5-fold increase in melanopic illuminance (24 to 108 melanopic illuminance). Participants completed the Karolinska Sleepiness Scale, subjective mood ratings, and the Psychomotor Vigilance Task (PVT) every 2-4 hours during the night shift. RESULTS A significant main effect of time indicated KSS, PVT mean reaction time, number of PVT lapses (reaction times > 500 ms) and subjective tension, misery and depression worsened over the course of the night shift (p<0.05). Percentage changes in KSS (p<0.05, partial η2=0.14) and PVT mean reaction time (p<0.05, partial η2=0.19) and lapses (p<0.05, partial η2=0.17) in the middle and end of night shift, expressed relative to start of shift, were significantly improved during the lighting intervention compared to the traditional lighting condition. Self-reported mood did not significantly differ between conditions (p>0.05). CONCLUSION Our findings, showing improvements in alertness and performance with exposure to blue-enriched, increased intensity light, provide support for light to be used as a countermeasure for impaired alertness in night shift work settings.
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Affiliation(s)
- Tracey L Sletten
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Bhairavi Raman
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Michelle Magee
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Sally A Ferguson
- Central Queensland University, Appleton Institute, Goodwood, SA, Australia
| | - David J Kennaway
- Robinson Research Institute, School of Medicine, Discipline of Obstetrics and Gynaecology, University of Adelaide, Adelaide, SA, Australia
| | - Ronald R Grunstein
- Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.,Department of Respiratory & Sleep Medicine, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Shantha M W Rajaratnam
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.,Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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16
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The impact of structured sleep schedules prior to an in-laboratory study: Individual differences in sleep and circadian timing. PLoS One 2020; 15:e0236566. [PMID: 32785281 PMCID: PMC7423117 DOI: 10.1371/journal.pone.0236566] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 07/08/2020] [Indexed: 11/30/2022] Open
Abstract
Introduction Many sleep and circadian studies require participants to adhere to structured sleep-wake schedules designed to stabilize sleep outcomes and circadian phase prior to in-laboratory testing. The effectiveness of this approach has not been rigorously evaluated, however. We therefore investigated the differences between participants’ unstructured and structured sleep over a three-week interval. Methods Twenty-three healthy young adults completed three weeks of sleep monitoring, including one week of unstructured sleep and two weeks of structured sleep with consistent bed and wake times. Circadian phase was assessed via salivary dim light melatonin onset (DLMO) during both the unstructured and structured sleep episodes. Results Compared to their unstructured sleep schedule, participants’ bed- and wake times were significantly earlier in their structured sleep, by 34 ± 44 mins (M ± SD) and 44 ± 41 mins, respectively. During structured sleep, circadian phase was earlier in 65% of participants (40 ± 32 mins) and was later in 35% (41 ± 25 mins) compared to unstructured sleep but did not change at the group level. While structured sleep reduced night-to-night variability in sleep timing and sleep duration, and improved the alignment (phase angle) between sleep onset and circadian phase in the most poorly aligned individuals (DLMO < 1h or > 3h before sleep onset time; 25% of our sample), sleep duration and quality were unchanged. Conclusion Our results show adherence to a structured sleep schedule results in more regular sleep timing, and improved alignment between sleep and circadian timing for those individuals who previously had poorer alignment. Our findings support the use of structured sleep schedules prior to in-laboratory sleep and circadian studies to stabilize sleep and circadian timing in healthy volunteers.
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17
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Clément GR, Boyle RD, George KA, Nelson GA, Reschke MF, Williams TJ, Paloski WH. Challenges to the central nervous system during human spaceflight missions to Mars. J Neurophysiol 2020; 123:2037-2063. [DOI: 10.1152/jn.00476.2019] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Space travel presents a number of environmental challenges to the central nervous system, including changes in gravitational acceleration that alter the terrestrial synergies between perception and action, galactic cosmic radiation that can damage sensitive neurons and structures, and multiple factors (isolation, confinement, altered atmosphere, and mission parameters, including distance from Earth) that can affect cognition and behavior. Travelers to Mars will be exposed to these environmental challenges for up to 3 years, and space-faring nations continue to direct vigorous research investments to help elucidate and mitigate the consequences of these long-duration exposures. This article reviews the findings of more than 50 years of space-related neuroscience research on humans and animals exposed to spaceflight or analogs of spaceflight environments, and projects the implications and the forward work necessary to ensure successful Mars missions. It also reviews fundamental neurophysiology responses that will help us understand and maintain human health and performance on Earth.
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Affiliation(s)
| | - Richard D. Boyle
- National Aeronautics and Space Administration, Ames Research Center, Moffett Field, California
| | | | - Gregory A. Nelson
- Division of Biomedical Engineering Sciences, School of Medicine Loma Linda University, Loma Linda, California
| | - Millard F. Reschke
- National Aeronautics and Space Administration, Johnson Space Center, Houston, Texas
| | - Thomas J. Williams
- National Aeronautics and Space Administration, Johnson Space Center, Houston, Texas
| | - William H. Paloski
- National Aeronautics and Space Administration, Johnson Space Center, Houston, Texas
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18
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Ojio Y, Kishi A, Sasaki T, Togo F. Association of depressive symptoms with habitual sleep duration and sleep timing in junior high school students. Chronobiol Int 2020; 37:877-886. [DOI: 10.1080/07420528.2020.1746796] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Yasutaka Ojio
- Department of Community Mental Health & Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan
| | - Akifumi Kishi
- Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Tsukasa Sasaki
- Laboratory of Health Education, Graduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Fumiharu Togo
- Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
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19
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Letzen JE, Remeniuk B, Smith MT, Irwin MR, Finan PH, Seminowicz DA. Individual differences in pain sensitivity are associated with cognitive network functional connectivity following one night of experimental sleep disruption. Hum Brain Mapp 2019; 41:581-593. [PMID: 31617662 PMCID: PMC6981017 DOI: 10.1002/hbm.24824] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/30/2019] [Accepted: 10/01/2019] [Indexed: 12/19/2022] Open
Abstract
Previous work suggests that sleep disruption can contribute to poor pain modulation. Here, we used experimental sleep disruption to examine the relationship between sleep disruption-induced pain sensitivity and functional connectivity (FC) of cognitive networks contributing to pain modulation. Nineteen healthy individuals underwent two counterbalanced experimental sleep conditions for one night each: uninterrupted sleep versus sleep disruption. Following each condition, participants completed functional MRI including a simple motor task and a noxious thermal stimulation task. Pain ratings and stimulus temperatures from the latter task were combined to calculate a pain sensitivity change score following sleep disruption. This change score was used as a predictor of simple motor task FC changes using bilateral executive control networks (RECN, LECN) and the default mode network (DMN) masks as seed regions of interest (ROIs). Increased pain sensitivity after sleep disruption was positively associated with increased RECN FC to ROIs within the DMN and LECN (F(4,14) = 25.28, pFDR = 0.05). However, this pain sensitivity change score did not predict FC changes using LECN and DMN masks as seeds (pFDR > 0.05). Given that only RECN FC was associated with sleep loss-induced hyperalgesia, findings suggest that cognitive networks only partially contribute to the sleep-pain dyad.
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Affiliation(s)
- Janelle E Letzen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Bethany Remeniuk
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael T Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
| | - Patrick H Finan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David A Seminowicz
- Department of Neural and Pain Sciences, School of Dentistry, and Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, Maryland
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20
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What works for jetlag? A systematic review of non-pharmacological interventions. Sleep Med Rev 2018; 43:47-59. [PMID: 30529430 DOI: 10.1016/j.smrv.2018.09.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 09/18/2018] [Accepted: 09/20/2018] [Indexed: 01/28/2023]
Abstract
Jetlag is a combination of travel fatigue and circadian misalignment resulting from air travel across time zones. Routinely recommended interventions based on circadian science include timely exposure to light and darkness (scheduled sleep), but the real-world effectiveness of these and other non-circadian strategies is unknown. We systematically reviewed the evidence for non-pharmacological interventions for jetlag. PubMed, EMBASE, Scopus, and Web of Science were searched. Studies reviewed 1) involved human participants undergoing air travel with a corresponding shift in the external light-dark cycle; 2) administered a non-pharmacological intervention; 3) had a control or comparison group; and 4) examined outcomes such as jetlag symptoms, sleep, cognitive/physical performance, mood, fatigue, or circadian markers. Thirteen studies used light exposure, physical activity, diet, chiropractic treatment, or a multifaceted intervention to counteract jetlag. Nine studies found no significant change in the outcomes, three reported mixed findings, and one was positive. The null findings are likely due to poorly designed circadian interventions and neglect of contributors to travel fatigue. Higher quality studies that schedule darkness as well as light, in the periods before, during, and after flight are needed to reduce the circadian component of jetlag. Interventions should also address the stressors that contribute to travel fatigue.
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Sleep and Challenging Behaviors in the Context of Intensive Behavioral Intervention for Children with Autism. J Autism Dev Disord 2018; 48:3871-3884. [DOI: 10.1007/s10803-018-3648-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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22
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Abeysuriya RG, Lockley SW, Robinson PA, Postnova S. A unified model of melatonin, 6-sulfatoxymelatonin, and sleep dynamics. J Pineal Res 2018; 64:e12474. [PMID: 29437238 DOI: 10.1111/jpi.12474] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 01/26/2018] [Indexed: 11/30/2022]
Abstract
A biophysical model of the key aspects of melatonin synthesis and excretion has been developed, which is able to predict experimental dynamics of melatonin in plasma and saliva, and of its urinary metabolite 6-sulfatoxymelatonin (aMT6s). This new model is coupled to an established model of arousal dynamics, which predicts sleep and circadian dynamics based on light exposure and times of wakefulness. The combined model thus predicts melatonin levels over the sleep-wake/dark-light cycle and enables prediction of melatonin-based circadian phase markers, such as dim light melatonin onset (DLMO) and aMT6s acrophase under conditions of normal sleep and circadian misalignment. The model is calibrated and tested against group average data from 10 published experimental studies and is found to reproduce quantitatively the key dynamics of melatonin and aMT6s, including the timing of release and amplitude, as well as response to controlled lighting and shift work.
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Affiliation(s)
- Romesh G Abeysuriya
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Department of Psychiatry, Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK
| | - Steven W Lockley
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Monash Institute for Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Vic., Australia
| | - Peter A Robinson
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- NHMRC Centre for Translational Sleep and Circadian Neurobiology (NeuroSleep), Sydney, NSW, Australia
- ARC Centre of Excellence for Integrative Brain Functions, University of Sydney, Sydney, NSW, Australia
| | - Svetlana Postnova
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- ARC Centre of Excellence for Integrative Brain Functions, University of Sydney, Sydney, NSW, Australia
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23
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Tkachenko O, Dinges DF. Interindividual variability in neurobehavioral response to sleep loss: A comprehensive review. Neurosci Biobehav Rev 2018; 89:29-48. [PMID: 29563066 DOI: 10.1016/j.neubiorev.2018.03.017] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/28/2018] [Accepted: 03/16/2018] [Indexed: 12/28/2022]
Abstract
Stable trait-like responding is well established for neurobehavioral performance measures across repeated exposures to total sleep deprivation and partial chronic sleep restriction. These observed phenotypes are task-dependent, suggesting that there are distinct cognitive profiles of responding with differential vulnerability to sleep loss within the same individual. Numerous factors have been investigated as potential markers of phenotypic vulnerability to the effects of sleep loss but none fully account for this phenomenon. Observed interindividual differences in performance during extended wakefulness may be driven by underlying deficits in the wake-promoting system resulting in greater performance instability due to failure to counteract increased homeostatic pressure. Further work would benefit from a systems approach to the study of interindividual vulnerability in which behavioral, neurobiological, and genetic data are integrated in a larger framework delineating the relationships between genes, proteins, neurobiology, and behavior.
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Affiliation(s)
- Olga Tkachenko
- Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA 19104, United States.
| | - David F Dinges
- Department of Psychiatry, University of Pennsylvania School of Medicine, 423 Guardian Drive, Philadelphia, PA 19104, United States.
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24
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Dickinson DL, Drummond SPA, McElroy T. The viability of an ecologically valid chronic sleep restriction and circadian timing protocol: An examination of sample attrition, compliance, and effectiveness at impacting sleepiness and mood. PLoS One 2017; 12:e0174367. [PMID: 28319182 PMCID: PMC5358873 DOI: 10.1371/journal.pone.0174367] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 03/08/2017] [Indexed: 11/30/2022] Open
Abstract
Chronic sleep restriction (SR) increases sleepiness, negatively impacts mood, and impairs a variety of cognitive performance measures. The vast majority of work establishing these effects are tightly controlled in-lab experimental studies. Examining commonly-experienced levels of SR in naturalistic settings is more difficult and generally involves observational methods, rather than active manipulations of sleep. The same is true for analyzing behavioral and cognitive outcomes at circadian unfavorable times. The current study tested the ability of an at-home protocol to manipulate sleep schedules (i.e., impose SR), as well as create a mismatch between a subject's circadian preference and time of testing. Viability of the protocol was assessed via completion, compliance with the SR, and success at manipulating sleepiness and mood. An online survey was completed by 3630 individuals to assess initial eligibility, 256 agreed via email response to participate in the 3-week study, 221 showed for the initial in-person session, and 184 completed the protocol (175 with complete data). The protocol consisted of 1 week at-home SR (5-6 hours in bed/night), 1 week wash-out, and 1 week well-rested (WR: 8-9 hours in bed/night). Sleep was monitored with actigraphy, diary, and call-ins. Risk management strategies were implemented for subject safety. At the end of each experimental week, subjects reported sleepiness and mood ratings. Protocol completion was 83%, with lower depression scores, higher anxiety scores, and morning session assignment predicting completion. Compliance with the sleep schedule was also very good. Subjects spent approximately 2 hours less time in bed/night and obtained an average of 1.5 hours less nightly sleep during SR, relative to WR, with 82% of subjects obtaining at least 60 minutes less average nightly sleep. Sleepiness and mood were impacted as expected by SR. These findings show the viability of studying experimental chronic sleep restriction outside the laboratory, assuming appropriate safety precautions are taken, thus allowing investigators to significantly increase ecological validity over strictly controlled in-lab studies.
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Affiliation(s)
- David L. Dickinson
- Department of Economics & Center for Economic Research and Policy Analysis, Appalachian State University, Boone, North Carolina, United States of America
- IZA (Institute for the Study of Labor), Bonn, Germany
- ESI (Economic Science Institute), Chapman University, Orange, California, United States of America
| | - Sean P. A. Drummond
- Monash Institute of Cognitive and Clinical Neuroscience, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Todd McElroy
- Department of Psychology, Florida Gulf Coast University, Ft. Myers, Florida, United States of America
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25
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Brager AJ, Mistovich RJ. Game Times and Higher Winning Percentages of West Coast Teams of the National Football League Correspond With Reduced Prevalence of Regular Season Injury. J Strength Cond Res 2016; 31:462-467. [PMID: 27893483 DOI: 10.1519/jsc.0000000000001727] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Brager, AJ and Mistovich, RJ. Game times and higher winning percentages of west coast teams of the National Football League correspond with reduced prevalence of regular season injury. J Strength Cond Res 31(2): 462-467, 2017-West coast teams of the National Football League are more statistically likely to win home night games against east coast opponents. The alignment of game times with daily rhythms of alertness is thought to contribute to this advantage. This study aims to determine whether rates of turnovers and injuries during the regular season, putative measures of mental and physical fatigue, impact winning percentages. Regular season schedules and rates of turnovers for each of the 32 teams were obtained from Pro-Football-Reference. We developed our own metric of injury risk for each position obtained from depth charts and regular season schedules. This metric compared cumulative weeks on injury reserve with cumulative time zone travel. West coast teams traveled 4 times as often as east coast teams. However, teams traveling eastward won twice as many games. There was no relationship between the extent and direction of travel and number of turnovers. Losing teams had more turnovers. The offensive and defensive lines in Central Time (CT) were placed on injury reserve 4 times as often as offensive and defensive lines in Pacific Time (PT). Injury prevalence in CT vs. PT was most prominent midseason. Plotting midseason game time relative to biological time revealed that PT teams play games closer to endogenous peaks in alertness, whereas CT teams play games closer to endogenous troughs in alertness. Overall, closer alignment of game time with the endogenous "alerting" signal may protect west coast teams from fatigue-related injuries and suggests for modified strength and conditioning programs.
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Affiliation(s)
- Allison J Brager
- 1Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland; and 2Department of Orthopaedic Surgery, Case Western Reserve University School of Medicine, Cleveland, Ohio
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26
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Geerdink M, Walbeek TJ, Beersma DGM, Hommes V, Gordijn MCM. Short Blue Light Pulses (30 Min) in the Morning Support a Sleep-Advancing Protocol in a Home Setting. J Biol Rhythms 2016; 31:483-97. [PMID: 27449476 DOI: 10.1177/0748730416657462] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Many people in our modern civilized society sleep later on free days compared to work days. This discrepancy in sleep timing will lead to so-called 'social jetlag' on work days with negative consequences for performance and health. Light therapy in the morning is often proposed as the most effective method to advance the circadian rhythm and sleep phase. However, most studies focus on direct effects on the circadian system and not on posttreatment effects on sleep phase and sleep integrity. In this placebo-controlled home study we investigated if blue light, rather than amber light therapy, can phase shift the sleep phase along with the circadian rhythm with preservation of sleep integrity and performance. We selected 42 participants who suffered from 'social jetlag' on workdays. Participants were randomly assigned to either high-intensity blue light exposure or amber light exposure (placebo) with similar photopic illuminance. The protocol consisted of 14 baseline days without sleep restrictions, 9 treatment days with either 30-min blue light pulses or 30-min amber light pulses in the morning along with a sleep advancing scheme and 7 posttreatment days without sleep restrictions. Melatonin samples were taken at days 1, 7, 14 (baseline), day 23 (effect treatment), and day 30 (posttreatment). Light exposure was recorded continuously. Sleep was monitored through actigraphy. Performance was measured with a reaction time task. As expected, the phase advance of the melatonin rhythm from day 14 to day 23 was significantly larger in the blue light exposure group, compared to the amber light group (84 min ± 51 (SD) and 48 min ± 47 (SD) respectively; t36 = 2.23, p < 0.05). Wake-up time during the posttreatment days was slightly earlier compared to baseline in the blue light group compared to slightly later in the amber light group (-21 min ± 33 (SD) and +12 min ± 33 (SD) respectively; F1,35 = 9.20, p < 0.01). The number of sleep bouts was significantly higher in the amber light group compared to the blue light group during sleep in the treatment period (F1,32 = 4.40, p < 0.05). Performance was significantly worse compared to baseline at all times during (F1,13 = 10.1, p < 0.01) and after amber light treatment (F1,13 = 17.1, p < 0.01), while only in the morning during posttreatment in the blue light condition (F1,10 = 9.8, p < 0.05). The data support the conclusion that blue light was able to compensate for the sleep integrity reduction and to a large extent for the performance decrement that was observed in the amber light condition, both probably as a consequence of the advancing sleep schedule. This study shows that blue light therapy in the morning, applied in a home setting, supports a sleep advancing protocol by phase advancing the circadian rhythm as well as sleep timing.
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Affiliation(s)
- Moniek Geerdink
- Department of Chronobiology, GeLifes, University of Groningen, the Netherlands
| | - Thijs J Walbeek
- Department of Psychology, University of California, San Diego, La Jolla, California, USA
| | - Domien G M Beersma
- Department of Chronobiology, GeLifes, University of Groningen, the Netherlands
| | - Vanja Hommes
- Philips Consumer Lifestyle, Drachten, the Netherlands
| | - Marijke C M Gordijn
- Department of Chronobiology, GeLifes, University of Groningen, the Netherlands Chrono@Work B.V., Groningen, the Netherlands
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