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Lewis S, Rinehart N, Mantilla A, Alvares G, Hiscock H, Marks D, Papadopoulos N. A pilot randomised controlled trial of a telehealth-delivered brief 'Sleeping Sound Autism' intervention for autistic children. Sleep Med 2024; 124:162-173. [PMID: 39306958 DOI: 10.1016/j.sleep.2024.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 08/21/2024] [Accepted: 09/03/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Access to behavioural sleep intervention is beneficial for autistic children, yet many families face barriers to access associated with location and time. Preliminary evidence supports telehealth-delivered sleep intervention. However, no studies have evaluated brief telehealth sleep intervention. To address this, we evaluated telehealth delivery of the brief behavioural Sleeping Sound Autism intervention, using a two-armed, parallel-group, non-blinded, pilot randomised controlled trial (RCT) design (trial registration: ANZCTR12620001276943). METHOD Sixty-one families of autistic children without intellectual disability (5-12 years, 46% female) with caregiver-reported moderate-severe behavioural sleep problems participated Australia-wide, randomised to an intervention (n = 30) or treatment as usual control group (n = 31). Intervention group participants were invited to attend two video-conference telehealth sessions and one follow-up phone call with a trained clinician. Survey data was collected from caregivers at baseline and three- and six-months post-randomisation, to evaluate feasibility, acceptability, and efficacy. Ten intervention group caregivers participated in end-of-study semi-structured interviews to explore their experiences. RESULTS Forty-nine caregivers completed surveys. At baseline, 87% felt positive and 84% felt confident about participating via telehealth, and 75% believed the program would improve child sleep. At three-months, intervention group caregivers (n = 24) reported the usefulness (100%) of and preference for (71%) telehealth, and 95.8% would recommend this sleep program to other families. A significant group by time difference was observed in child sleep (Children's Sleep Habits Questionnaire) with large effect sizes (d = 0.87-1.05), emotion and behaviour (Developmental Behavior Checklist 2) with moderate effect sizes (d = 0.40-0.57), and caregiver mental health (Kessler 10) with small to moderate effect sizes (d = 0.60-0.28), favouring the intervention group (n = 23). There were no significant group differences in child (Child Health Utility instrument) or caregiver (Assessment of Quality of Life) quality of life. However, there were individual differences in the clinical significance of improved child sleep. Qualitative data showed that whilst telehealth was convenient for caregivers, without attenuating the benefits of most key intervention features, not all children were able to engage effectively with the clinician via telehealth. CONCLUSIONS This first pilot RCT of a brief telehealth behavioural sleep intervention for primary-school-aged autistic children suggests that telehealth delivery is acceptable, feasible and likely efficacious in improving sleep in the short-term. Providing families with ongoing choice of mode of delivery (telehealth/in-person) and examining the person-environment fit of telehealth for autistic children is important.
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Affiliation(s)
- Samantha Lewis
- School of Educational Psychology and Counselling, Faculty of Education, Monash University, 19 Ancora Imparo Way, Clayton, Victoria, 3800, Australia; School of Psychological Sciences, Faculty of Medicine, Nursing, and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia
| | - Nicole Rinehart
- Monash Krongold Clinic, Faculty of Education, Monash University, Wellington Road, Clayton, Victoria, 3168, Australia; School of Psychological Sciences, Faculty of Medicine, Nursing, and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia
| | - Ana Mantilla
- School of Educational Psychology and Counselling, Faculty of Education, Monash University, 19 Ancora Imparo Way, Clayton, Victoria, 3800, Australia; Monash Krongold Clinic, Faculty of Education, Monash University, Wellington Road, Clayton, Victoria, 3168, Australia
| | - Gail Alvares
- The Kids Research Institute Australia, The University of Western Australia, Nedlands, Western Australia, 6007, Australia
| | - Harriet Hiscock
- Murdoch Children's Research Institute, 50 Flemington Road, Parkville, Victoria, 3052, Australia; Department of Paediatrics, University of Melbourne, Grattan Street, Parkville, Victoria, 3010, Australia; Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia
| | - Deborah Marks
- Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia
| | - Nicole Papadopoulos
- School of Educational Psychology and Counselling, Faculty of Education, Monash University, 19 Ancora Imparo Way, Clayton, Victoria, 3800, Australia; Monash Krongold Clinic, Faculty of Education, Monash University, Wellington Road, Clayton, Victoria, 3168, Australia; School of Psychological Sciences, Faculty of Medicine, Nursing, and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia.
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Baek K, Jeong J, Kim HW, Shin DH, Kim J, Lee GH, Cho JW. Seasonal and Weekly Patterns of Korean Adolescents' Web Search Activity on Insomnia: Retrospective Study. JMIR Form Res 2024; 8:e52977. [PMID: 39311496 PMCID: PMC11512132 DOI: 10.2196/52977] [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: 09/20/2023] [Revised: 02/01/2024] [Accepted: 09/23/2024] [Indexed: 10/13/2024] Open
Abstract
BACKGROUND Sleep deprivation in adolescents is a common but serious public health issue. Adolescents often have a progressive circadian delay and suffer from insufficient sleep during weekdays due to the school schedule. Temporal patterns in internet search activity data can provide relevant information for understanding the characteristic sleep problems of the adolescent population. OBJECTIVE We aimed to reveal whether adolescents exhibit distinct temporal seasonal and weekly patterns in internet search activity on insomnia compared to adults. METHODS We hypothesized that adolescents exhibit larger variations in the internet search volume for insomnia, particularly in association with the school schedule (e.g., academic vacations and weekends). We extracted the daily search volume for insomnia in South Korean adolescents (13-18 years old), adults (19-59 years old), and young adults (19-24 years old) during the years 2016-2019 using NAVER DataLab, the most popular search engine in South Korea. The daily search volume data for each group were normalized with the annual median of each group. The time series of the search volume was decomposed into slow fluctuation (over a year) and fast fluctuation (within a week) using fast Fourier transform. Next, we compared the normalized search volume across months in a year (slow fluctuation) and days in a week (fast fluctuation). RESULTS In the annual trend, 2-way ANOVA revealed a significant (group) × (month) interaction (P<.001). Adolescents exhibited much greater seasonal variations across a year than the adult population (coefficient of variation=0.483 for adolescents vs 0.131 for adults). The search volume for insomnia in adolescents was notably higher in January, February, and August, which are academic vacation periods in South Korea (P<.001). In the weekly pattern, 2-way ANOVA revealed a significant (group) × (day) interaction (P<.001). Adolescents showed a considerably increased search volume on Sunday and Monday (P<.001) compared to adults. In contrast, young adults demonstrated seasonal and weekly patterns similar to adults. CONCLUSIONS Adolescents demonstrate distinctive seasonal and weekly patterns in internet searches on insomnia (ie, increased search in vacation months and weekend-weekday transitions), which are closely associated with the school schedule. Adolescents' sleep concerns might be potentially affected by the disrupted daily routine and the delayed sleep phase during vacations and weekends. As we demonstrated, comparing various age groups in infodemiology and infoveillance data might be helpful in identifying distinctive features in vulnerable age groups.
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Affiliation(s)
- Kwangyeol Baek
- School of Biomedical Convergence Engineering, Pusan National University, Busan, Republic of Korea
- Center for Artificial Intelligence Research, Pusan National University, Busan, Republic of Korea
| | - Jake Jeong
- Center for Artificial Intelligence Research, Pusan National University, Busan, Republic of Korea
- Department of Information Convergence Engineering, Pusan National University, Busan, Republic of Korea
| | - Hyun-Woo Kim
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Dong-Hyeon Shin
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Jiyoung Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Gha-Hyun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jae Wook Cho
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
- Sleep Tech Research Center, Bitsensing Inc, Seongnam, Republic of Korea
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Li S, Goodrich JA, Chen JC, Costello E, Beglarian E, Liao J, Alderete TL, Valvi D, Baumert BO, Rock S, Eckel SP, McConnell R, Gilliland FD, Chen Z, Conti DV, Chatzi L, Aung M. Per-and polyfluoroalkyl substances and disrupted sleep: mediating roles of proteins. ENVIRONMENTAL ADVANCES 2024; 17:100585. [PMID: 39512894 PMCID: PMC11542765 DOI: 10.1016/j.envadv.2024.100585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
Abstract
Background Per-and polyfluoroalkyl substances (PFAS) contamination may disrupt sleep through disrupted metabolic and immune functions. The study aims to investigate the association and potential mechanism between PFAS and sleep. Methods We included 136 young adults recruited between 2014-2018 and 76 were re-assessed between 2020-2022. Additional 8 participants only had complete data between 2020-2022. Plasma PFAS (PFOS, PFOA, PFHxS, PFHpS, PFPeS, PFNA, PFDA) were measured at both visits using liquid-chromatography high-resolution mass spectrometry. Plasma proteins were measured by Olink® Explore 384 Cardiometabolic and Inflammation Panel I. Sleep duration was self-reported at both visits along with follow-up sleep disturbance and sleep-related impairment using validated instruments. We utilized multiple linear regression to explore the association between individual PFAS (in tertile) and these sleep outcomes. PFAS associated with sleep outcomes were subjected to computational toxicology analysis using the Comparative Toxicogenomics Database and Toxicology in the 21st Century database to identify potential genetic links between them. Mediation analysis using proteomic data was then performed to confirm the findings from computational toxicology analysis. Results At baseline, one tertile increase in PFDA was associated with 0.39 (95 % CI: 0.05, 0.73) hours of shorter nightly sleep duration, and, at follow-up, PFHxS and PFOA were associated with 0.39 (95 % CI: 0.05, 0.72) and 0.32 (95 % CI: 0.01, 0.63) hours shorter sleep duration, respectively. One tertile increase in PFOS exposure was associated with a 2.99-point increase in sleep disturbance scores (95 % CI: 0.67, 5.31) and a 3.35-point increase in sleep-related impairment scores (95 % CI: 0.51, 6.20). Computational toxicology and mediation analyses identified potential mediating roles for several proteins in the PFAS-sleep associations, including 11-beta-dehydrogenase isozyme 1 (HSD11B1), cathepsin B (CTSB) and several immune system-related proteins. Conclusion Future large scale epidemiological and mechanistic studies should confirm our findings and test effect measure modification of the associations by age.
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Affiliation(s)
- Shiwen Li
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Jesse A. Goodrich
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Jiawen Carmen Chen
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Elizabeth Costello
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Emily Beglarian
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Jiawen Liao
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Tanya L. Alderete
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Damaskini Valvi
- Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Sarah Rock
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - David V. Conti
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
| | - Max Aung
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, 1845 N. Soto Street, Health Sciences Campus, Los Angeles, CA 90032, USA
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Tandon PS, Gabert T, Kuhn M, Tran N, Ola C, Sullivan E, Zhou C, Stein M, Mendoza JA, Sasser T, Gonzalez E. Modernizing behavioral parent training program for ADHD with mHealth strategies, telehealth groups, and health behavior curriculum: a randomized pilot trial. J Pediatr Psychol 2024; 49:664-675. [PMID: 39279226 PMCID: PMC11414893 DOI: 10.1093/jpepsy/jsae073] [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: 02/01/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 09/18/2024] Open
Abstract
OBJECTIVE Parent behavior management training (BMT) is an evidence-based yet underutilized tool to treat children with ADHD and address related health disparities. This pilot study investigated the acceptability and feasibility of a novel, health behavior-, and technology-adapted BMT (LEAP) vs. standard BMT. METHODS The weekly 9-session LEAP telemedicine group program is based on a standard BMT curriculum enhanced with strategies for supporting optimal child sleep, problematic media use (PMU), and physical activity, including wrist-worn activity trackers. Children ages 6-10 years with ADHD and their caregivers were randomized to LEAP or standard BMT. Acceptability and feasibility were tracked. Caregivers completed standardized measures, and children wore hip-worn accelerometers for 1 week at baseline, postintervention (10 weeks), and follow-up (20 weeks). RESULTS 84 parent/child dyads were randomized to LEAP or standard BMT, with high and comparable acceptability and feasibility. Both treatment groups demonstrated decreased ADHD symptoms and improved executive functions postintervention (p < .0001), maintained at follow-up. Average accelerometer-measured MVPA decreased and sleep duration remained unchanged, while PMU and bedtime resistance improved for both groups. CONCLUSIONS LEAP is highly feasible and acceptable, and yielded similar initial clinical and health behavior improvements to standard BMT. Innovative and targeted supports are needed to promote healthy behaviors in children with ADHD.
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Affiliation(s)
- Pooja S Tandon
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Tess Gabert
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Providence, RI, USA
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Michelle Kuhn
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Nguyen Tran
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Cindy Ola
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Erin Sullivan
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Chuan Zhou
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Mark Stein
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Jason A Mendoza
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Cancer Prevention Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Tyler Sasser
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Erin Gonzalez
- Child Health, Behavior, Development, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
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O'Sullivan R, Bissell S, Agar G, Spiller J, Surtees A, Heald M, Clarkson E, Khan A, Oliver C, Bagshaw AP, Richards C. Exploring an objective measure of overactivity in children with rare genetic syndromes. J Neurodev Disord 2024; 16:18. [PMID: 38637764 PMCID: PMC11025271 DOI: 10.1186/s11689-024-09535-y] [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: 07/28/2023] [Accepted: 04/05/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Overactivity is prevalent in several rare genetic neurodevelopmental syndromes, including Smith-Magenis syndrome, Angelman syndrome, and tuberous sclerosis complex, although has been predominantly assessed using questionnaire techniques. Threats to the precision and validity of questionnaire data may undermine existing insights into this behaviour. Previous research indicates objective measures, namely actigraphy, can effectively differentiate non-overactive children from those with attention-deficit hyperactivity disorder. This study is the first to examine the sensitivity of actigraphy to overactivity across rare genetic syndromes associated with intellectual disability, through comparisons with typically-developing peers and questionnaire overactivity estimates. METHODS A secondary analysis of actigraphy data and overactivity estimates from The Activity Questionnaire (TAQ) was conducted for children aged 4-15 years with Smith-Magenis syndrome (N=20), Angelman syndrome (N=26), tuberous sclerosis complex (N=16), and typically-developing children (N=61). Actigraphy data were summarized using the M10 non-parametric circadian rhythm variable, and 24-hour activity profiles were modelled via functional linear modelling. Associations between actigraphy data and TAQ overactivity estimates were explored. Differences in actigraphy-defined activity were also examined between syndrome and typically-developing groups, and between children with high and low TAQ overactivity scores within syndromes. RESULTS M10 and TAQ overactivity scores were strongly positively correlated for children with Angelman syndrome and Smith-Magenis syndrome. M10 did not substantially differ between the syndrome and typically-developing groups. Higher early morning activity and lower evening activity was observed across all syndrome groups relative to typically-developing peers. High and low TAQ group comparisons revealed syndrome-specific profiles of overactivity, persisting throughout the day in Angelman syndrome, occurring during the early morning and early afternoon in Smith-Magenis syndrome, and manifesting briefly in the evening in tuberous sclerosis complex. DISCUSSION These findings provide some support for the sensitivity of actigraphy to overactivity in children with rare genetic syndromes, and offer syndrome-specific temporal descriptions of overactivity. The findings advance existing descriptions of overactivity, provided by questionnaire techniques, in children with rare genetic syndromes and have implications for the measurement of overactivity. Future studies should examine the impact of syndrome-related characteristics on actigraphy-defined activity and overactivity estimates from actigraphy and questionnaire techniques.
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Affiliation(s)
- Rory O'Sullivan
- School of Psychology, University of Birmingham, Birmingham, UK.
- Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, Birmingham, UK.
| | - Stacey Bissell
- School of Psychology, University of Birmingham, Birmingham, UK
- Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, Birmingham, UK
| | - Georgie Agar
- School of Life & Health Sciences, Aston University, Birmingham, UK
| | - Jayne Spiller
- School of Psychology and Vision Sciences, University of Leicester, Leicester, UK
| | - Andrew Surtees
- School of Psychology, University of Birmingham, Birmingham, UK
| | - Mary Heald
- Blackpool Teaching Hospitals NHS Foundation Trust, Blackpool, Lancashire, UK
| | | | - Aamina Khan
- Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, Birmingham, UK
- School of Life & Health Sciences, Aston University, Birmingham, UK
| | | | - Andrew P Bagshaw
- School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Caroline Richards
- School of Psychology, University of Birmingham, Birmingham, UK
- Cerebra Network for Neurodevelopmental Disorders, University of Birmingham, Birmingham, UK
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Fjell AM, Walhovd KB. Individual sleep need is flexible and dynamically related to cognitive function. Nat Hum Behav 2024; 8:422-430. [PMID: 38379065 DOI: 10.1038/s41562-024-01827-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/15/2024] [Indexed: 02/22/2024]
Abstract
Given that sleep deprivation studies consistently show that short sleep causes neurocognitive deficits, the effects of insufficient sleep on brain health and cognition are of great interest and concern. Here we argue that experimentally restricted sleep is not a good model for understanding the normal functions of sleep in naturalistic settings. Cross-disciplinary research suggests that human sleep is remarkably dependent on environmental conditions and social norms, thus escaping universally applicable rules. Sleep need varies over time and differs between individuals, showing a complex relationship with neurocognitive function. This aspect of sleep is rarely addressed in experimental work and is not reflected in expert recommendations about sleep duration. We recommend focusing on the role of individual and environmental factors to improve our understanding of the relationship between human sleep and cognition.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
- Center for Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway.
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Center for Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway
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