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Yang H, Kim S, Yoo SH, Mun Y, Choi ML, Lee JA, Song E. Sleep quality according to chronotype in nurses working 8-hour shifts. Occup Med (Lond) 2024; 74:290-296. [PMID: 38717444 DOI: 10.1093/occmed/kqae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND To date, studies have been focused on sleep disturbances of nurses working during night shifts. There is a lack of understanding regarding the sleep quality of nurses working in the rapid rotation system for each type of shift work. AIMS To determine the relationship between chronotype and sleep quality according to shift type (i.e. day, evening and night shifts) in nurses working 8-hour rotating shifts. METHODS A cross-sectional, descriptive study was conducted from two tertiary hospitals in South Korea from December 2021 to September 2022, including nurses working 8-hour rotating shifts (N = 74). They completed questionnaires to measure general, occupational and sleep-related characteristics, chronotype, insomnia severity and daytime sleepiness. Additionally, sleep parameters were collected from actigraphy and sleep diaries for 7 days. RESULTS A total of 64% of nurses had an evening chronotype and 37% of nurses had an intermediate chronotype. Nurses had significantly less total sleep time and worsened sleep latency and efficiency during the day shift compared to other shift types. Compared to nurses with an intermediate chronotype, those with an evening chronotype had poorer sleep quality during day shift work. CONCLUSIONS Strategies to enhance nurses' sleep quality during day shifts should consider a two-level approach: individual approaches, such as improving sleep hygiene, and administrative approaches, such as establishing a chronotype-based shift system for scheduling.
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Affiliation(s)
- H Yang
- College of Nursing, Chonnam National University, Gwangju 61469, Republic of Korea
| | - S Kim
- College of Nursing, Chonnam National University, Gwangju 61469, Republic of Korea
| | - S-H Yoo
- College of Nursing, Chonnam National University, Gwangju 61469, Republic of Korea
| | - Y Mun
- College of Nursing, Chonnam National University, Gwangju 61469, Republic of Korea
| | - M L Choi
- Department of Nursing, Chonnam National University Hospital, Gwangju 61469, Republic of Korea
| | - J A Lee
- Department of Nursing, Chonnam National University Hospital, Gwangju 61469, Republic of Korea
| | - E Song
- Department of Nursing, Chonnam National University Hospital, Gwangju 61469, Republic of Korea
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2
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Sringean J, Udomsirithamrong O, Bhidayasiri R. Too little or too much nocturnal movements in Parkinson's disease: A practical guide to managing the unseen. Clin Park Relat Disord 2024; 10:100258. [PMID: 38845753 PMCID: PMC11153921 DOI: 10.1016/j.prdoa.2024.100258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/13/2024] [Accepted: 05/21/2024] [Indexed: 06/09/2024] Open
Abstract
Nocturnal and sleep-related motor disorders in people with Parkinson's disease (PD) have a wide spectrum of manifestations and present a complex clinical picture. Problems can arise due to impaired movement ability (hypokinesias), e.g. nocturnal hypokinesia or early-morning akinesia, or to excessive movement (hyperkinesias), e.g. end-of-the-day dyskinesia, parasomnias, periodic limb movement during sleep and restless legs syndrome. These disorders can have a significant negative impact on the sleep, daytime functional ability, and overall quality of life of individuals with PD and their carers. The debilitating motor issues are often accompanied by a combination of non-motor symptoms, including pain and cramping, which add to the overall burden. Importantly, nocturnal motor disorders encompass a broader timeline than just the period of sleep, often starting in the evening, as well as occurring throughout the night and on awakening, and are not just limited to problems of insomnia or sleep fragmentation. Diagnosis can be challenging as, in many cases, the 'gold standard' assessment method is video polysomnography, which may not be available in all settings. Various validated questionnaires are available to support evaluation, and alternative approaches, using wearable sensors and digital technology, are now being developed to facilitate early diagnosis and monitoring. This review sets out the parameters of what can be considered normal nocturnal movement and describes the clinical manifestations, usual clinical or objective assessment methods, and evidence for optimal management strategies for the common nocturnal motor disorders that neurologists will encounter in people with PD in their clinical practice.
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Affiliation(s)
- Jirada Sringean
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
| | - Ornanong Udomsirithamrong
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok 10330, Thailand
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3
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Oh SY, Meaklim H, Nicholas CL, Cunnington D, Schenker M, Patrick CJ, Windred D, Phillips LJ. Perfect Enough to Sleep? Perfectionism and Actigraphy-Determined Markers of Insomnia. Behav Sleep Med 2024:1-16. [PMID: 38785108 DOI: 10.1080/15402002.2024.2355476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
OBJECTIVES Perfectionism is an important factor in insomnia development and maintenance. Previous studies exploring the relationship between perfectionism and insomnia have predominantly relied on self-reported sleep measures. Therefore, this study sought to assess whether actigraphy-measured sleep parameters were associated with perfectionism. METHODS Sixty adults (85% females, mean age 30.18 ± 11.01 years) were sampled from the Australian general population. Actigraphy-derived objective sleep measures, subjective sleep diary measures, the Frost Multidimensional Perfectionism Scale (FMPS), Hewitt-Flett Multidimensional Perfectionism Scale (HFMPS) and Depression, Anxiety and Stress Scale 21 (DASS-21) were collected. RESULTS High perfectionism levels were associated with poor sleep, but these relationships differed between objective and subjective measures. Perfectionism via FMPS total score and subscales of Concern over Mistakes, Doubts about Actions, Personal Standards and Self-oriented Perfectionism correlated with subjective sleep onset latency and sleep efficiency with moderate effects (r = .26 to .88). In contrast, perfectionism via HFMPS total score and subscales of Socially Prescribed Perfectionism and Parental Expectations predicted objective sleep onset latency and sleep efficiency. Additionally, stress mediated the relationships between objective sleep efficiency and Concern over Mistakes and Doubts about Actions. CONCLUSIONS Perfectionism demonstrated stronger associations with subjective than objective sleep measures. Higher Parental Expectations and Socially Prescribed Perfectionism may increase one's vulnerability to objectively measured poor sleep. Therefore, perfectionism may be important in preventing and treating insomnia.
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Affiliation(s)
- Susie Y Oh
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
- Turner Institute for Brain and Mental Health, Monash University Healthy Sleep Clinic, Monash University, Clayton, Australia
| | - Hailey Meaklim
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Austin Health, Victoria, Australia
| | - Christian L Nicholas
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | | | - Maya Schenker
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | - Cameron J Patrick
- Statistical Consulting Centre, School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia
| | - Daniel Windred
- Turner Institute for Brain and Mental Health, Monash University Healthy Sleep Clinic, Monash University, Clayton, Australia
| | - Lisa J Phillips
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
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4
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Moon C, Schneider A, Cho YE, Zhang M, Dang H, Vu K. Sleep duration, sleep efficiency, and amyloid β among cognitively healthy later-life adults: a systematic review and meta-analysis. BMC Geriatr 2024; 24:408. [PMID: 38714912 PMCID: PMC11076214 DOI: 10.1186/s12877-024-05010-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Abnormal amyloid β (Aβ) deposits in the brain are a hallmark of Alzheimer's disease (AD). Insufficient sleep duration and poor sleep quality are risk factors for developing AD. Sleep may play a role in Aβ regulation, but the magnitude of the relationship between sleep and Aβ deposition remains unclear. This systematic review examines the relationship between sleep (i.e., duration and efficiency) with Aβ deposition in later-life adults. METHODS A search of PubMed, CINAHL, Embase, and PsycINFO generated 5,005 published articles. Fifteen studies met the inclusion criteria for qualitative syntheses; thirteen studies for quantitative syntheses related to sleep duration and Aβ; and nine studies for quantitative syntheses related to sleep efficiency and Aβ. RESULTS Mean ages of the samples ranged from 63 to 76 years. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18-labeled. Sleep duration was measured subjectively using interviews or questionnaires, or objectively using polysomnography or actigraphy. Study analyses accounted for demographic and lifestyle factors. Based on 13 eligible articles, our synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher's Z = -0.055, 95% CI = -0.117 ~ 0.008). We found that longer self-report sleep duration is associated with lower Aβ (Fisher's Z = -0.062, 95% CI = -0.119 ~ -0.005), whereas the objectively measured sleep duration was not associated with Aβ (Fisher's Z = 0.002, 95% CI = -0.108 ~ 0.113). Based on 9 eligible articles for sleep efficiency, our synthesis also demonstrated that the average association between sleep efficiency and Aβ was not statistically significant (Fisher's Z = 0.048, 95% CI = -0.066 ~ 0.161). CONCLUSION The findings from this review suggest that shorter self-reported sleep duration is associated with higher Aβ levels. Given the heterogeneous nature of the sleep measures and outcomes, it is still difficult to determine the exact relationship between sleep and Aβ. Future studies with larger sample sizes should focus on comprehensive sleep characteristics and use longitudinal designs to better understand the relationship between sleep and AD.
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Affiliation(s)
- Chooza Moon
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA.
| | - Aaron Schneider
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Young-Eun Cho
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Meina Zhang
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Hellen Dang
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Kelly Vu
- University of Iowa College of Pharmacy, 180 S. Grand Avenue, Iowa City, IA, 52242, USA
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Wu JY, Li H, Shuai JK, He Y, Li PC. Evidence summary on the non-pharmacological management of sleep disorders in shift workers. Sleep Breath 2024; 28:909-918. [PMID: 37587356 PMCID: PMC11136795 DOI: 10.1007/s11325-023-02901-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 08/01/2023] [Accepted: 08/04/2023] [Indexed: 08/18/2023]
Abstract
PURPOSE This study aimed to evaluate, and integrate the relevant evidence on the non-pharmacological management of sleep disorders in shift workers to provide a reference for improving sleep of shift workers. METHODS According to the "6S" pyramid model of evidence, a comprehensive search was conducted in evidence-based databases, including BMJ-Best Practice, UpToDate, DynaMed, Cochrane Library, and Joanna Briggs Institute (JBI); clinical practice guideline websites, such as the Guidelines International Network; professional association websites, such as the World Sleep Society; and literature databases, including PubMed, Embase, CINAHL, China National Knowledge Infrastructure (CNKI), Wanfang Database, and Chinese Biology Medicine disc (CBM) from inception to November 30, 2022. Two researchers independently evaluated the literature in accordance with the evaluation standards; conducted the extraction, classification, and synthesis of the evidence; and evaluated its grade and recommendation grade. RESULTS A total of 18 studies were included, including 2 clinical decisions, 2 guidelines, 3 expert consensuses, and 11 systematic reviews. In total, 25 pieces of evidence were summarized from 6 aspects: sleep assessment, sleep scheduling, sleep hygiene, light therapy, workplace intervention, and other managements. CONCLUSION This study summarized the best evidence for the non-pharmacological management of sleep disorders in shift workers. Shift workers should reasonably arrange their sleep time and develop good sleep hygiene. Additionally, work organizations should jointly promote sleep to improve the sleep conditions of shift workers and promote their physical and mental health.
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Affiliation(s)
- Jin-Yu Wu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
- West China School of Nursing, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
| | - Hui Li
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
- West China School of Nursing, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
| | - Jun-Kun Shuai
- Department of Emergency Medicine, Affiliated Hospital of Chengdu University, No.82, North 2nd Section, 2nd Ring Road, Chengdu, 610081, Sichuan, China
| | - Yue He
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
- West China School of Nursing, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China
| | - Peng-Cheng Li
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China.
- West China School of Nursing, Sichuan University, No.37, Guoxue Alley, Chengdu, 610044, Sichuan, China.
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Whenn CB, Wilson DL, Ruehland WR, Churchward TJ, Worsnop C, Tolson J. The impact of study type and sleep measurement on oxygen desaturation index calculation. J Clin Sleep Med 2024; 20:709-717. [PMID: 38169424 PMCID: PMC11063702 DOI: 10.5664/jcsm.10982] [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: 08/11/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024]
Abstract
STUDY OBJECTIVES The oxygen desaturation index (ODI) is an important measure of sleep-disordered breathing during polysomnography (PSG); however, the AASM Manual (V3) does not specify whether to include oxygen desaturations occurring during wake epochs. Additionally, an ODI obtained from PSG can differ from an ODI using home sleep apnea tests (HSATs) that do not measure sleep, hampering diagnostic and treatment decision reliability. This study aimed to (1) compare an ODI that included all desaturations with an ODI that excluded desaturations occurring during wake epochs in PSG and (2) compare ODIs obtained from PSG with HSAT. METHODS 100 consecutive PSGs for investigation of obstructive sleep apnea were compared. ODIs were calculated including all desaturations (ODIall) and by excluding desaturations entirely during wake epochs (ODIsleep). Additionally, we compared ODIall with an ODI calculated using monitoring time as the denominator (ODIHSAT). RESULTS The median (interquartile range) 3% ODI for ODIall was 22.8 (13.1, 44.1) events/h and ODIsleep was 17.6 (11.5, 35.2) events/h (median difference: -3.9 events/h [-8.2, -0.9]; 21.0% [8.7%, 33.2%]). This discrepancy was larger with increasing ODI and decreasing sleep efficiency. The ODIHSAT was 17.4 (11.3, 35.2) events/h and the median reduction in ODIHSAT vs ODIall was -4.5 (-10.9, -2.0) events/h (21.6%; 11.1%, 33.8). CONCLUSIONS ODI was significantly reduced when desaturations in wake epochs were excluded, and when ODI was based on monitoring time rather than sleep time, with the potential for underestimation of disease severity. Results suggest that ODI can differ substantially depending on the calculation and study type used, and that there is a need for standardization to ensure consistent diagnosis and treatment outcomes. CITATION Whenn CB, Wilson DL, Ruehland WR, Churchward TJ, Worsnop C, Tolson J. The impact of study type and sleep measurement on oxygen desaturation index calculation. J Clin Sleep Med. 2024;20(5):709-717.
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Affiliation(s)
- Carley B. Whenn
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
| | - Danielle L. Wilson
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
| | - Warren R. Ruehland
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
| | - Thomas J. Churchward
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
| | - Christopher Worsnop
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
| | - Julie Tolson
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Australia
- School of Psychological Sciences, University of Melbourne, Parkville, Australia
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7
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De Pieri M, Bueltemann L, Tedone F, Riccardi S, Castelnovo A, Miano S, Manconi M. Clinical and instrumental features in 82 patients with insufficient sleep syndrome. J Sleep Res 2024; 33:e14076. [PMID: 37909272 DOI: 10.1111/jsr.14076] [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: 06/26/2023] [Revised: 09/18/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023]
Abstract
Insufficient sleep syndrome possibly represents the worldwide leading cause of daytime sleepiness, but remains poorly recognised and studied. The aim of this case series is to comprehensively describe a cohort of patients with insufficient sleep syndrome. Eighty-two patients were studied concerning demographic and socio-economic features, medical, psychiatric and sleep comorbidities, substance use, sleep symptoms, actigraphy, video-polysomnography, multiple sleep latency tests and treatment. The typical patient with insufficient sleep syndrome is a middle-aged adult (with no difference of gender), employed, who has a family, often carrying psychiatric and neurological comorbidities, in particular headache, anxiety and depression. Other sleep disorders, especially mild sleep apnea and bruxism, were common as well. Actigraphy was a valuable tool in the characterisation of insufficient sleep syndrome, showing a sleep restriction during weekdays, associated with a recovery rebound of night sleep during weekends and a high amount of daytime sleep. An over- or underestimation of sleeping was common, concerning both the duration of night sleep and daytime napping. The average daily sleep considering both daytime and night-time, weekdays and weekends corresponds to the recommended minimal normal duration, meaning that the burden of insufficient sleep syndrome could mainly depend on sleep fragmentation and low quality. Sleep efficiency was elevated both in actigraphy and video-polysomnography. Multiple sleep latency tests evidenced a tendency toward sleep-onset rapid eye movement periods. Our study offers a comprehensive characterisation of patients with insufficient sleep syndrome, and clarifies their sleeping pattern, opening avenues for management and treatment of the disorder. Current options seem not adapted, and in our opinion a cognitive-behavioural psychotherapy protocol should be developed.
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Affiliation(s)
- Marco De Pieri
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Service de psychiatrie adulte, Département de psychiatrie, Hôpitaux universitaires de Genève, Genève, Switzerland
| | - Linda Bueltemann
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Francesco Tedone
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Silvia Riccardi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Anna Castelnovo
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Silvia Miano
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
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Marhefkova N, Sládek M, Sumová A, Dubsky M. Circadian dysfunction and cardio-metabolic disorders in humans. Front Endocrinol (Lausanne) 2024; 15:1328139. [PMID: 38742195 PMCID: PMC11089151 DOI: 10.3389/fendo.2024.1328139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
The topic of human circadian rhythms is not only attracting the attention of clinical researchers from various fields but also sparking a growing public interest. The circadian system comprises the central clock, located in the suprachiasmatic nucleus of the hypothalamus, and the peripheral clocks in various tissues that are interconnected; together they coordinate many daily activities, including sleep and wakefulness, physical activity, food intake, glucose sensitivity and cardiovascular functions. Disruption of circadian regulation seems to be associated with metabolic disorders (particularly impaired glucose tolerance) and cardiovascular disease. Previous clinical trials revealed that disturbance of the circadian system, specifically due to shift work, is associated with an increased risk of type 2 diabetes mellitus. This review is intended to provide clinicians who wish to implement knowledge of circadian disruption in diagnosis and strategies to avoid cardio-metabolic disease with a general overview of this topic.
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Affiliation(s)
- Natalia Marhefkova
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czechia
- First Faculty of Medicine, Charles University, Prague, Czechia
| | - Martin Sládek
- Institute of Physiology, The Czech Academy of Sciences, Prague, Czechia
| | - Alena Sumová
- Institute of Physiology, The Czech Academy of Sciences, Prague, Czechia
| | - Michal Dubsky
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czechia
- First Faculty of Medicine, Charles University, Prague, Czechia
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de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. Sleep 2024; 47:zsad325. [PMID: 38149978 DOI: 10.1093/sleep/zsad325] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive of a variety of disease states. Patients increasingly present sleep data derived from their wearable devices to their providers and the ever-increasing availability of commercial devices and new-generation research/clinical tools has led to the wide adoption of wearables in research, which has become even more relevant given the discontinuation of the Philips Respironics Actiwatch. Standards for evaluating the performance of wearable sleep-tracking devices have been introduced and the available evidence suggests that consumer-grade devices exceed the performance of traditional actigraphy in assessing sleep as defined by polysomnogram. However, clear limitations exist, for example, the misclassification of wakefulness during the sleep period, problems with sleep tracking outside of the main sleep bout or nighttime period, artifacts, and unclear translation of performance to individuals with certain characteristics or comorbidities. This is of particular relevance when person-specific factors (like skin color or obesity) negatively impact sensor performance with the potential downstream impact of augmenting already existing healthcare disparities. However, wearable sleep-tracking technology holds great promise for our field, given features distinct from traditional actigraphy such as measurement of autonomic parameters, estimation of circadian features, and the potential to integrate other self-reported, objective, and passively recorded health indicators. Scientists face numerous decision points and barriers when incorporating traditional actigraphy, consumer-grade multi-sensor devices, or contemporary research/clinical-grade sleep trackers into their research. Considerations include wearable device capabilities and performance, target population and goals of the study, wearable device outputs and availability of raw and aggregate data, and data extraction, processing, and analysis. Given the difficulties in the implementation and utilization of wearable sleep-tracking technology in real-world research and clinical settings, the following State of the Science review requested by the Sleep Research Society aims to address the following questions. What data can wearable sleep-tracking devices provide? How accurate are these data? What should be taken into account when incorporating wearable sleep-tracking devices into research? These outstanding questions and surrounding considerations motivated this work, outlining practical recommendations for using wearable technology in sleep and circadian research.
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Affiliation(s)
- Massimiliano de Zambotti
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Lisa Health Inc., Oakland, CA, USA
| | - Cathy Goldstein
- Sleep Disorders Center, Department of Neurology, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Jesse Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Luca Menghini
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Marco Altini
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health, Detroit, MI, USA
| | - Rebecca Robillard
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
- Canadian Sleep Research Consortium, Canada
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10
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Belcaro G, Hu S, Hosoi M, Cesarone MR, Ledda A, Dugall M, Cornelli U, Saggino A, Cotellese R, Feragalli B, Cox D, Peterzan P, Scipione C, Scipione V. Prevention and control of jet lag symptoms and temporary impairment of cognitive function with Pycnogenol® in healthy individuals and in hypertensives. Minerva Med 2024; 115:178-184. [PMID: 38197571 DOI: 10.23736/s0026-4806.23.08974-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND The aim of this registry study was to evaluate the efficacy of Pycnogenol® in controlling signs/symptoms and temporary impairment of cognitive function (COFU) associated with jet lag. Previous flight studies have shown a decrease in the level of jet lag symptoms with Pycnogenol®. The control of jet lag signs/symptoms appeared to be correlated with flight-related microangiopathy and peripheral edema. Pycnogenol® - a standardized extract from the bark of French maritime pine - has significant antiedema, anti-inflammatory and antioxidant properties. METHODS A group of subjects flying east in economy class for 10-12 hours used Pycnogenol® 150 mg/day and a similar group without supplementation served as controls. A subgroup of mild hypertensive subjects using a single ACE inhibitor was also included. RESULTS One hundred twenty-seven subjects completed the study. Of the participants, 48 were aviation professionals like pilots, flight attendants or air company staff - 24 of them took Pycnogenol® and 24 served as controls. Forty-seven study participants were frequent flyers and non-staff professionals, 25 of which took Pycnogenol® and 22 served as controls. In addition, a group of 32 subjects with mild hypertension was included, 16 took Pycnogenol® and 16 served as controls. No side effects and a good tolerability were observed. The registry groups were comparable for baseline characteristics. Eastbound flights' duration was 11.22±0.4 hours in supplemented subjects and 11.14±0.32 in controls. Dropouts were due to logistical problems. Post flight Visual Analogue Scale (VAS) scores were significantly lower in all Pycnogenol® groups, including hypertensives for all signs and symptoms of jet lag compared to controls, showing prevention and improvement of jet lag symptoms. The duration of any sign/symptom of jet lag with Pycnogenol® intake was significantly shorter (P<0.05) post-flight compared to controls (P<0.05). The number of nights of altered/disturbed sleep was also lower in the Pycnogenol® groups compared to controls. Leg edema was present in almost all subjects with different degrees especially in the hypertensive group. The increase in ankle circumference before and after flight was significantly lower with Pycnogenol® compared to controls (P<0.05). After the flight, average scores of the single COFU tasks were significantly higher in the Pycnogenol® groups compared to controls, showing preserved cognitive function. CONCLUSIONS In conclusion, in this registry study Pycnogenol® was effective in preventing jet lag-related symptoms and preserving cognitive functions without tolerability problems. These observations should be tested in a larger group of subjects including complex individuals prone to edema (i.e. diabetics, hypertensive or older patients).
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Affiliation(s)
| | - Shu Hu
- Department of Psychology, G. D'Annunzio University, Chieti, Italy
| | - Morio Hosoi
- Irvine3 Circulation/Vascular Labs, Pescara, Italy
| | | | - Andrea Ledda
- Irvine3 Circulation/Vascular Labs, Pescara, Italy
| | - Mark Dugall
- Irvine3 Circulation/Vascular Labs, Pescara, Italy
| | | | - Aristide Saggino
- Department of Psychology, G. D'Annunzio University, Chieti, Italy
| | - Roberto Cotellese
- Department of Medical, Oral and Biotechnological Sciences, G. D'Annunzio University, Pescara, Italy
| | - Beatrice Feragalli
- Department of Medical, Oral and Biotechnological Sciences, G. D'Annunzio University, Pescara, Italy
| | - David Cox
- Irvine3 Circulation/Vascular Labs, Pescara, Italy
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11
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Leseur J, Boiret C, Romier A, Bazin B, Basquin L, Stern E, Pineau G, Lejoyeux M, Geoffroy PA, Maruani J. Comparative study of sleep and circadian rhythms in patients presenting unipolar or bipolar major depressive episodes. Psychiatry Res 2024; 334:115811. [PMID: 38442480 DOI: 10.1016/j.psychres.2024.115811] [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: 10/09/2023] [Revised: 01/16/2024] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Currently, there is a major challenge in distinguishing between unipolar and bipolar major depressive episode. A significant body of research has been dedicated to identifying biomarkers that can aid in this differentiation due to its crucial implications, particularly for therapeutic and prognostic purposes. Among the biomarkers of interest, markers related to sleep and circadian rhythms show promise and could potentially aid in making this distinction. Nevertheless, no study has simultaneously examined sleep-wake disorders, circadian rhythms, and seasonal patterns using both subjective and objective measures. This study aims to characterize and compare the sleep-wake and rhythm disorders including patients with unipolar major depressive episode (n = 72) and with bipolar major depressive episode (n = 43) using both subjective markers (using self-report questionnaires and sleep complaints) and objective markers (using actigraphy). Patients with unipolar major depressive episode seem to experience significantly poorer quality of sleep, more symptoms of insomnia and lower sleep efficiency compared to patients with bipolar major depressive episode. On the other hand, patients with bipolar major depressive episode exhibit significantly more symptoms of motor retardation and hypersomnia compared to patients with unipolar disorder. These results hold significant implications for identifying individuals with unipolar major depressive episode or bipolar major depressive episode using sleep and circadian markers, and for developing recommended and personalized therapeutic strategies.
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Affiliation(s)
- Jeanne Leseur
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France.
| | - Charlotte Boiret
- Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France
| | - Alix Romier
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France
| | - Balthazar Bazin
- Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Louise Basquin
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France
| | - Emilie Stern
- Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Guillaume Pineau
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France
| | - Michel Lejoyeux
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Pierre A Geoffroy
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France; CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg F-67000, France
| | - Julia Maruani
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France.
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12
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de Morais MJP, Pereira NRM, Tufik S, Hachul H. Does cognitive behavioral therapy improve sleep quality during pregnancy? Sleep Biol Rhythms 2024; 22:291-292. [PMID: 38524165 PMCID: PMC10959843 DOI: 10.1007/s41105-024-00517-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/07/2024] [Indexed: 03/26/2024]
Affiliation(s)
- Maria José Pereira de Morais
- Departamento de Psicobiologia, Universidade Federal de São Paulo, Street Napoleao de Barros, 925, PO Box: 04021-002, São Paulo, SP Brazil
| | - Nádia Raci Marques Pereira
- Departamento de Psicobiologia, Universidade Federal de São Paulo, Street Napoleao de Barros, 925, PO Box: 04021-002, São Paulo, SP Brazil
| | - Sergio Tufik
- Departamento de Psicobiologia, Universidade Federal de São Paulo, Street Napoleao de Barros, 925, PO Box: 04021-002, São Paulo, SP Brazil
- Sleep Institute, São Paulo, Brazil
| | - Helena Hachul
- Departamento de Psicobiologia, Universidade Federal de São Paulo, Street Napoleao de Barros, 925, PO Box: 04021-002, São Paulo, SP Brazil
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13
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Couto MCHD, Canhetti de Oliveira CM, Merlo S, Briley PM, Pinato L. Risk of sleep problems in a clinical sample of children who stutter. JOURNAL OF FLUENCY DISORDERS 2024; 79:106036. [PMID: 38241960 DOI: 10.1016/j.jfludis.2023.106036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/20/2023] [Accepted: 12/29/2023] [Indexed: 01/21/2024]
Abstract
PURPOSE Previous studies have shown increased prevalence of sleep problems among people who stutter. However, there is a lack of knowledge about what these sleep problems may specifically be. METHOD Fifty children who stutter (CWS) from 6;0 to 12;9 years of age and 50 age- and gender-matched controls participated in this study. Parents did not report coexisting conditions, excepting stuttering and/or sleep problems. Sleep problems were investigated using a standardized questionnaire answered by parents. The questionnaire shows cut-off scores to identify the risk of sleep problems as a whole and on each one of the six subscales (i.e., disorders of initiating and maintaining sleep; sleep breathing disorders; disorders of arousal; sleep-wake transition disorders; disorders of excessive somnolence; and sleep hyperhidrosis). Scores above the cut-off are suggestive of sleep problems. RESULTS Twenty-one CWS scored higher than the cut-off on the sleep questionnaire compared to only two controls (p < 0.00001). Specifically, CWS scored higher than controls in disorders of initiating and maintaining sleep, sleep-wake transition disorders (especially jerking, sleep talking, and bruxism), and disorders of excessive somnolence (p < 0.0083, corrected for multiple comparisons). DISCUSSION Compared to controls, CWS are at greater risk for sleep problems, which are not consequences of coexisting disorders. Present findings confirm and expand current knowledge about sleep problems in CWS. Directionality possibilities and clinical implications are discussed.
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Affiliation(s)
- Maria Clara Helena do Couto
- Department of Speech, Language and Hearing Sciences, São Paulo State University (UNESP), Marilia, SP, Brazil.
| | | | - Sandra Merlo
- Brazilian Fluency Institute, Av. Brg. Faria Lima, 1811, conj 822, São Paulo, SP 01452-001, Brazil.
| | - Patrick M Briley
- Department of Communication Sciences and Disorders, East Carolina University, 3310AC Health Sciences Building, MS 668, Greenville, NC 27834, United States.
| | - Luciana Pinato
- Department of Speech, Language and Hearing Sciences, São Paulo State University (UNESP), Marilia, SP, Brazil.
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14
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Baddam SKR, Canapari CA, Van de Grift J, McGirr C, Nasser AY, Crowley MJ. Screening and Evaluation of Sleep Disturbances and Sleep Disorders in Children and Adolescents. Psychiatr Clin North Am 2024; 47:65-86. [PMID: 38302214 DOI: 10.1016/j.psc.2023.06.005] [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] [Indexed: 02/03/2024]
Abstract
Sleep disturbances and sleep disorders are prevalent in children/adolescents and have a bidirectional relationship with pediatric medical and mental health disorders. Screening tools and mechanisms for the evaluation and treatment of sleep disturbances and sleep disorders in the pediatric mental health clinic are less well-known; hence, sleep disturbances and disorders are under-recognized in the pediatric clinics. We present specific, validated screening and evaluation tools to identify sleep disturbances and sleep disorders in children/adolescents. We offer guidance related to the use of consumer wearables for sleep assessments and use of sleep telemedicine in pediatric mental health and primary care clinics.
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Affiliation(s)
- Suman K R Baddam
- Yale Child Study Center, Yale School of Medicine, 230 South Frontage Road, New Haven, CT 06519, USA.
| | - Craig A Canapari
- Pediatric Pulmonology, Allergy, Immunology & Sleep Medicine, PO Box 208064, New Haven, CT, 06520-8064, USA
| | - Jenna Van de Grift
- Yale University School of Medicine, 230 South Frontage Road, New Haven, CT 06519, USA
| | - Christopher McGirr
- Yale Child Study Center, Yale School of Medicine, 230 South Frontage Road, New Haven, CT 06519, USA
| | | | - Michael J Crowley
- Yale Child Study Center, Yale School of Medicine, 230 South Frontage Road, New Haven, CT 06519, USA
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15
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Dolu İ, Açıkgöz S, Rıza Demirbaş A, Karabulut E. Circadian Rhythms Characteristics of Nurses Providing Direct Patient Care: An Observational Study. Saf Health Work 2024; 15:102-109. [PMID: 38496283 PMCID: PMC10944160 DOI: 10.1016/j.shaw.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/05/2023] [Accepted: 12/09/2023] [Indexed: 03/19/2024] Open
Abstract
Background In today's modern world, longer working hours, shift work, and working at night have become major causes of the disruption of our natural circadian rhythms. This study aimed to investigate the effects of the type of shift work (rotating vs. fixed day), duty period (on-duty vs. off-duty), and working period within each shift (nighttime vs. daytime) on the circadian rhythm characteristics of nurses who provide direct patient care. Methods This cross-sectional study used a purposive sampling method. Cosinor analysis was applied to analyze the actigraphy data of nurses providing direct patient care for seven consecutive days. The linear mixed effects model was then used to determine any variances between shift type, duty period, and working period within each shift for the nurses. Results The mesor value did not differ according to nurses' shift type, duty period, and working period within each shift. The amplitude was statistically higher in on-duty nurses and in daytime working hours. The acrophase was significantly delayed in nighttime working hours. As well as nurses in rotating shift had experience. Conclusion Our findings revealed that the peak activity of nurses occurs significantly later at night while working and nurses working during nighttime hours may have a weaker or less distinct circadian rhythm. Thus, this study suggests that limits be placed on the number of rotating nighttime shifts for nurses.
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Affiliation(s)
- İlknur Dolu
- Department of Nursing, Faculty of Health Science, 74100 Bartın University, Bartın, Turkey
| | - Serap Açıkgöz
- Department of Nursing, Faculty of Health Science, Çankırı Karatekin University, Çankırı, Turkey
| | - Ali Rıza Demirbaş
- Governors State University, Department of Health Administration and Informatics, United States
| | - Erdem Karabulut
- Hacettepe University, Faculty of Medicine, Basic Medical Sciences, Department of Biostatistics, Turkey
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16
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Schindhelm F, Oldenburg O, Fox H, Bitter T. Measurement of peripheral arterial tone to detect sleep-disordered breathing in patients with heart failure. Sleep Breath 2024; 28:339-347. [PMID: 37749330 DOI: 10.1007/s11325-023-02923-z] [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: 06/22/2023] [Revised: 09/03/2023] [Accepted: 09/11/2023] [Indexed: 09/27/2023]
Abstract
PURPOSE Sleep-disordered breathing is highly prevalent in patients with heart failure and is related to increased mortality and morbidity. The gold standard for sleep diagnostic is polysomnography in a sleep laboratory. Measurement of peripheral arterial tone with a wrist-worn diagnostic device is a promising method to detect sleep-disordered breathing without major technical effort. METHODS We prospectively enrolled patients with heart failure with reduced ejection fraction for measurement of the peripheral arterial tone and polysomnography simultaneously during one night in the sleep laboratory. Raw data of polysomnography was analyzed blindly by sleep core lab personnel and compared with automatic algorithm-based sleep results of measurement of the peripheral arterial tone. RESULTS A total of 25 patients provided comparable sleep results. All patients had sleep-disordered breathing and were identified by measurement of the peripheral arterial tone. The comparison of apnea-hypopnea index between peripheral arterial tone 38.8 ± 17.4/h and polysomnography 44.5 ± 17.9/h revealed a bias of - 5.7 ± 9.8/h with limits of agreement of ± 19.2/h in Bland-Altman analysis but showed high and significant Pearson correlation (r = 0.848, p < 0.001). CONCLUSION The findings suggest that measurement of the peripheral arterial tone may be useful to identify sleep-disordered breathing in patients with heart failure with reduced ejection fraction.
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Affiliation(s)
- Florian Schindhelm
- Klinik für Allgemeine und Interventionelle Kardiologie/Angiologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany
- Klinik für Kardiologie und Angiologie, Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Germany
| | - Olaf Oldenburg
- Klinik für Kardiologie, Clemenshospital Münster, Düesbergweg 124, 48153, Münster, Germany
| | - Henrik Fox
- Klinik für Allgemeine und Interventionelle Kardiologie/Angiologie, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstr. 11, 32545, Bad Oeynhausen, Germany
| | - Thomas Bitter
- Klinik für Pneumologie und Beatmungsmedizin (Medizinische Klinik VII), Städtisches Klinikum Braunschweig, Salzdahlumer Straße 90, 38126, Braunschweig, Germany.
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17
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Lewin D, Starling CM, Zhou ES, Greenberg D, Shaw C, Arem H. A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries. J Clin Sleep Med 2024; 20:309-312. [PMID: 37869974 PMCID: PMC10835768 DOI: 10.5664/jcsm.10878] [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: 03/20/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
This is a preliminary validation study of a novel approach to an interactive sleep data collection platform. We compared actigraphy, paper and pencil logs, and the novel voice interactive sleep log in a sample of 17 breast cancer survivors with insomnia symptoms and also report qualitative data on acceptability. We used correlation coefficients and Bland Altman plots to evaluate convergent validity across these measures and report means for acceptability ratings. The sleep log data collected via paper and pencil vs the voice interactive measure had comparable mean values and variable validity coefficients across key sleep variables compared to actigraphy except for wake after sleep onset, where the voice-interactive system had fair concurrent validity with actigraphy. The voice interactive sleep log has several advantages over pencil and paper logs and actigraphy as it reduces patient burden, automatically calculates sleep variables, documents the timeliness of response and provides daily feedback to respondents on calculated sleep metrics. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Identifier: NCT05233800. CITATION Lewin D, Starling CM, Zhou ES, Greenberg D, Shaw C, Arem H. A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries. J Clin Sleep Med. 2024;20(2):309-312.
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Affiliation(s)
- Daniel Lewin
- Sleep Health and Wellness Center, Santa Barbara, California
| | - Claire M Starling
- Healthcare Delivery Research, MedStar Health Research Institute, Washington, DC
| | - Eric S Zhou
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | | | - Hannah Arem
- Healthcare Delivery Research, MedStar Health Research Institute, Washington, DC
- Department of Oncology, Georgetown University, Washington, DC
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18
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Bond JC, Coleman CM, Yland JJ, Wesselink AK, Wang T, Willis M, Hatch EE, Rothman KJ, Savitz D, Eisenberg ML, Wise LA. Preconception sleep duration, non-daytime work schedules, and incidence of spontaneous abortion: a prospective cohort study. Hum Reprod 2024; 39:413-424. [PMID: 38059518 DOI: 10.1093/humrep/dead249] [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: 11/16/2022] [Revised: 10/25/2023] [Indexed: 12/08/2023] Open
Abstract
STUDY QUESTION To what extent do self-reported sleep duration and non-daytime work schedules in either partner affect the rate of spontaneous abortion (SAB)? SUMMARY ANSWER Incidence of SAB had little association with female sleep duration and a modest positive association with male short sleep duration, female work at night, and discrepant work schedules among partners. WHAT IS KNOWN ALREADY Several studies have reported an association between short sleep duration in either partner and reproductive health outcomes, including fecundability. Moreover, certain types of female occupational exposures during pregnancy have been associated with an increased risk of SAB. No studies have evaluated SAB risk in relation to male sleep and work schedules, or joint exposures within a couple. STUDY DESIGN, SIZE, DURATION This prospective cohort study included 9357 female participants and 2602 of their male partners residing in North America (June 2013 to April 2023). PARTICIPANTS/MATERIALS, SETTING, METHODS Participants enrolled when they were attempting pregnancy and completed self-administered baseline questionnaires about their average sleep duration and work schedules. Among those who conceived, we ascertained SAB and gestational age at loss via follow-up questionnaires. We used multivariable Cox proportional hazards models with gestational weeks as the time scale to estimate hazard ratios (HRs) and 95% CIs relating SAB with sleep duration and non-daytime work schedules for female and male participants, and the couple. We used inverse probability weighting to account for potential selection bias due to the possibility of differential participation of male partners with respect to the exposures. MAIN RESULTS AND THE ROLE OF CHANCE Compared to female participants with recommended sleep (7-8.9 h), those reporting short sleep duration (<6 h) did not have a higher rate of SAB (HR 0.88, 95% CI 0.69, 1.13). Short self-reported sleep duration among male participants was modestly associated with a higher rate of SAB (adjusted and weighted HR 1.30, 95% CI 0.96, 1.75). Female night work at night (adjusted HR 1.19, 95% CI 1.02, 1.38) and male non-daytime work (adjusted and weighted HR 1.26, 95% CI 1.00, 1.59) were associated with modestly higher rates of SAB, whereas female rotating shift work was not (adjusted HR 0.91, 0.78, 1.05) compared with daytime workers. Couples in which work schedules were discrepant had an elevated rate of SAB if the male partner worked a non-daytime shift (adjusted and weighted HR 1.46, 95% CI 1.13, 1.88) compared with couples in which both members worked during the day. The corresponding HR if only the female partner worked a non-daytime shift was 1.21 (95% CI 0.92, 1.58). LIMITATIONS, REASONS FOR CAUTION Data on sleep duration and work schedules were based on self-report, which is vulnerable to misclassification, particularly since participants were asked to report their average sleep duration during the past month. Work exposures were heterogeneous, as many different types of employment may require night and shift work and may have different associations with SAB. WIDER IMPLICATIONS OF THE FINDINGS Our findings are consistent with previous research indicating that some types of female employment schedules may be associated with SAB incidence. This is the first study to indicate a relationship between SAB and male employment schedules, indicating that discrepant work schedules within a couple might be relevant. STUDY FUNDING/COMPETING INTEREST(S) This work was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD105863 (PIs: L.A.W. and M.L.E.), R01HD086742 (PIs: L.A.W. and E.E.H.), and R21HD072326 (PI: L.A.W.). PRESTO has received in-kind donations from Swiss Precision Diagnostics and Kindara.com for primary data collection. L.A.W. is a consultant for AbbVie, Inc. and the Gates Foundation. M.L.E. is an advisor for and holds stock in Ro, Hannah, Dadi, Underdog, Vseat, & Doveras. The other authors have no competing interests to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- J C Bond
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - C M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - J J Yland
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - A K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - T Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - M Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - E E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - K J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - D Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - M L Eisenberg
- Department of Urology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - L A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Aldaajani Z, Khalil H. Challenges in Managing Nonmotor Symptoms of Parkinson's Disease in Low-Resourced Settings with Unavailability of Newer Drugs. Mov Disord Clin Pract 2024; 11:123-128. [PMID: 38168114 PMCID: PMC10883395 DOI: 10.1002/mdc3.13957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/15/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Affiliation(s)
- Zakiyah Aldaajani
- Neurology Unit, Internal Medicine Department, King Fahad Military Medical Complex, Dhahran, Saudi Arabia
| | - Hanan Khalil
- Department of Rehabilitation Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
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20
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Leung TNH, Wong KL, Chan AKC, Li AM. Common Childhood Sleep Problems and Disorders. Curr Pediatr Rev 2024; 20:27-42. [PMID: 36043722 DOI: 10.2174/1573396318666220827102018] [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: 02/20/2022] [Revised: 05/30/2022] [Accepted: 07/04/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Sleep insufficiency and disturbances affect the physical, cognitive, and emotional well-being of children. OBJECTIVE To perform a narrative review on common sleep problems and disorders encountered in primary care for children and adolescents. METHODS A search of English literature in the Pubmed and Google Scholar databases published from 1 January 2000 till 31 October 2021 was conducted with the keywords "sleep problem" or "sleep disorder" and "child" or "adolescent". Findings in the relevant articles and cross-references were compiled. RESULTS Sleep duration and habits of children vary widely across countries with different cultural backgrounds. There is robust evidence to support the promotion of positive bedtime routines and sleep hygiene as prevention and management of sleep problems. 15-70% of parents reported their children having sleep problems or disturbances. Common sleep complaints include difficulty in initiation or maintenance of sleep, abnormal behaviors or movements, snoring or abnormal breathing, and excessive daytime sleepiness. Comprehensive sleep history and a sleep diary are the first steps for evaluation. Home video and actigraphy may be used as preliminary tools to confirm the history. Referrals to a sleep specialist for polysomnography and other tests are needed, if suspecting specific sleep disorders, such as obstructive sleep apnea and narcolepsy, needs timely intervention. Common sleep disorders in different age groups encountered in primary care are reviewed with clinical features, indications for evaluation, and treatment options summarized. CONCLUSION Screening for sleep problems shall be an integral part of each child's health care visit. It is important to evaluate the impact of common sleep problems and identify specific sleep disorders for early intervention to prevent long-term adverse outcomes.
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Affiliation(s)
- Theresa Ngan Ho Leung
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Paediatrics, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Kin Lok Wong
- Department of Paediatrics, Queen Elizabeth Hospital, Hong Kong SAR, China
| | - Anthony Kam Chuen Chan
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Albert Martin Li
- Department of Paediatrics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China
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21
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Fedor S, Lewis R, Pedrelli P, Mischoulon D, Curtiss J, Picard RW. Wearable Technology in Clinical Practice for Depressive Disorder. N Engl J Med 2023; 389:2457-2466. [PMID: 38157501 DOI: 10.1056/nejmra2215898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Affiliation(s)
- Szymon Fedor
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
| | - Robert Lewis
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
| | - Paola Pedrelli
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
| | - David Mischoulon
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
| | - Joshua Curtiss
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
| | - Rosalind W Picard
- From the MIT Media Lab, Massachusetts Institute of Technology, Cambridge (S.F., R.L., R.W.P.), and the Depression Clinical and Research Program, Massachusetts General Hospital (P.P., D.M., J.C.), and the Applied Psychology Department, Northeastern University (J.C.), Boston - all in Massachusetts
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22
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Balsam D, Bounds DT, Rahmani AM, Nyamathi A. Evaluating the Impact of an App-Delivered Mindfulness Meditation Program to Reduce Stress and Anxiety During Pregnancy: Pilot Longitudinal Study. JMIR Pediatr Parent 2023; 6:e53933. [PMID: 38145479 PMCID: PMC10775027 DOI: 10.2196/53933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Stress and anxiety during pregnancy are extremely prevalent and are associated with numerous poor outcomes, among the most serious of which are increased rates of preterm birth and low birth weight infants. Research supports that while in-person mindfulness training is effective in reducing pregnancy stress and anxiety, there are barriers limiting accessibility. OBJECTIVE The aim of this paper is to determine if mindfulness meditation training with the Headspace app is effective for stress and anxiety reduction during pregnancy. METHODS A longitudinal, single-arm trial was implemented with 20 pregnant women who were instructed to practice meditation via the Headspace app twice per day during the month-long trial. Validated scales were used to measure participant's levels of stress and anxiety pre- and postintervention. Physiological measures reflective of stress (heart rate variability and sleep) were collected via the Oura Ring. RESULTS Statistically significant reductions were found in self-reported levels of stress (P=.005), anxiety (P=.01), and pregnancy anxiety (P<.0001). Hierarchical linear modeling revealed a statistically significant reduction in the physiological data reflective of stress in 1 of 6 heart rate variability metrics, the low-frequency power band, which decreased by 13% (P=.006). A total of 65% of study participants (n=13) reported their sleep improved during the trial, and 95% (n=19) stated that learning mindfulness helped with other aspects of their lives. Participant retention was 100%, with 65% of participants (n=13) completing about two-thirds of the intervention, and 50% of participants (n=10) completing ≥95%. CONCLUSIONS This study found evidence to support the Headspace app as an effective intervention to aid in stress and anxiety reduction during pregnancy.
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Affiliation(s)
- Donna Balsam
- School of Nursing, San Diego State University, San Diego, CA, United States
| | - Dawn T Bounds
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States
| | - Amir M Rahmani
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States
| | - Adeline Nyamathi
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, United States
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23
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Iwagami M, Seol J, Hiei T, Tani A, Chiba S, Kanbayashi T, Kondo H, Tanaka T, Yanagisawa M. Association between electroencephalogram-based sleep characteristics and physical health in the general adult population. Sci Rep 2023; 13:21545. [PMID: 38066043 PMCID: PMC10709300 DOI: 10.1038/s41598-023-47979-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
We examined the associations between electroencephalogram (EEG)-based sleep characteristics and physical health parameters in general adults via a cross-sectional study recruiting 100 volunteers aged 30-59 years. Sleep characteristics were measured at home using a portable multichannel electroencephalography recorder. Using the k-means + + clustering method, according to 10 EEG-based parameters, participants were grouped into better (n = 39), middle (n = 46), and worse (n = 15) sleep groups. Comparing 50 physical health parameters among the groups, we identified four signals of difference (P < 0.05), including systolic (sBP) and diastolic blood pressure (dBP), γ-glutamyl transpeptidase (γ-GTP), and serum creatinine, where sBP reached a Bonferroni-corrected threshold (P < 0.001). The sBP was higher by 7.9 (95% confidence interval 1.9-13.9) and 15.7 (7.3-24.0) mmHg before adjustment and 5.4 (- 0.1-10.9) and 8.7 (1.1-16.3) mmHg after adjustment for age, sex, body mass index, smoking, drinking habits, and 3% oxygen desaturation index in the middle and worse sleep groups, respectively, than in the better group. As another approach, among 500 combinations of EEG-based and physical health parameters, there were 45 signals of correlation, of which 4 (N1% and sBP, dBP, γ-GTP, and triglycerides) reached a Bonferroni-corrected threshold (P < 0.0001). Thus, EEG-based sleep characteristics are associated with several physical health parameters, particularly sBP.
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Affiliation(s)
- Masao Iwagami
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Department of Health Services Research, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
| | - Jaehoon Seol
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Research Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan (JNIOSH), Kawasaki, Kanagawa, 214-8585, Japan
- R&D Center for Tailor-Made QOL, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan
| | - Tetsuro Hiei
- S'UIMIN Inc., 1-51-1 Hatsudai, Shibuya, Tokyo, 151-0061, Japan
| | - Akihiro Tani
- S'UIMIN Inc., 1-51-1 Hatsudai, Shibuya, Tokyo, 151-0061, Japan
| | - Shigeru Chiba
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Ibaraki Prefectural Medical Center of Psychiatry, 654 Asahimachi, Kasama, Ibaraki, 309-1717, Japan
- Minamisaitama Hospital, 252 Masumori, Koshigaya, Ibaraki, 343-0012, Japan
| | - Takashi Kanbayashi
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Ibaraki Prefectural Medical Center of Psychiatry, 654 Asahimachi, Kasama, Ibaraki, 309-1717, Japan
| | - Hideaki Kondo
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Department of General Medicine, Institute of Biomedical Sciences, Nagasaki University, 1-12-4 Sakamoto, Nagasaki, 852-8521, Japan
| | - Takashi Tanaka
- KRD Nihombashi, 4-4-2 Nihonbashi Honcho, Chuo, Tokyo, 103-0023, Japan
| | - Masashi Yanagisawa
- International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
- S'UIMIN Inc., 1-51-1 Hatsudai, Shibuya, Tokyo, 151-0061, Japan.
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Tulk J, Rash JA, Thoms J, Wassersug R, Gonzalez B, Garland SN. Androgen deprivation therapy and radiation for prostate cancer-cognitive impairment, sleep, symptom burden: a prospective study. BMJ Support Palliat Care 2023; 13:e454-e463. [PMID: 34330793 DOI: 10.1136/bmjspcare-2021-003098] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 07/20/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVES This paper (1) sought to compare sleep, mood and physical symptom profiles of men with prostate cancer (PCa) who experienced subjective and objective cancer-related cognitive impairment (CRCI) during the first year of treatment and (2) examine if fluctuations in mood and physical symptoms are associated with change in subjective or objective CRCI. METHODS This prospective observational cohort study examined 24 new patients with PCa receiving androgen deprivation therapy (ADT) and radiation therapy (RT) during the first 12 months of treatment. Participants completed subjective and objective assessments of cognition, sleep continuity and self-report measures of insomnia, fatigue, depression and anxiety. Independent sample t-tests, correlations and hierarchical regressions were used to compare groups, explore associations, and assess change over time. Effects are reported as corrected Cohen's d (dc). RESULTS Men with objective CRCI reported worse subjective time asleep (dc=0.47) and more depression (dc=0.55). Men with subjective CRCI reported worse insomnia (dc=0.99), hot flashes (dc=0.76), sleep quality (dc=0.54), subjective total sleep time (dc=0.41), wake after sleep onset (dc=0.71), sleep efficiency (dc=0.49), fatigue (dc=0.67) and objectively estimated sleep latency (dc=0.72) than men without subjective CRCI. Declines in perceived cognition was associated with higher anxiety (p=0.05), fatigue (p≤0.01) and symptoms of insomnia (p=0.01). Finally, subjective time awake during the night (p=0.03) and fatigue (p=0.02) were associated with subjective cognitive decline, controlling for objective change. CONCLUSIONS Subjective concerns of CRCI appear more critical to patient experience than objective measurements in men with PCa who have received RT and ADT. Interventions to improve sleep may result in an improved perception of cognition.
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Affiliation(s)
- Joshua Tulk
- Department of Psychology, Memorial University, St. John's, Newfoundland and Labrador, Canada
| | - Joshua A Rash
- Department of Psychology, Memorial University, St. John's, Newfoundland and Labrador, Canada
| | - John Thoms
- Discipline of Oncology, Memorial University, St. John's, Newfoundland and Labrador, Canada
| | - Richard Wassersug
- Department of Cellular & Physiological Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Gonzalez
- Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, Florida, USA
| | - Sheila N Garland
- Department of Psychology, Memorial University, St. John's, Newfoundland and Labrador, Canada
- Discipline of Oncology, Memorial University, St. John's, Newfoundland and Labrador, Canada
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25
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Tamir S, Dye TJ, Witt RM. Sleep and Circadian Disturbances in Children With Neurodevelopmental Disorders. Semin Pediatr Neurol 2023; 48:101090. [PMID: 38065637 DOI: 10.1016/j.spen.2023.101090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 12/18/2023]
Abstract
Sleep problems are highly prevalent in those with neurodevelopmental disorders (NDDs). We propose this is secondary to multiple factors that directly and indirectly negatively impact sleep and circadian processes in those with NDDs, which in turn, further perturbs development, resulting in a "developmental and sleep/circadian-related encephalopathy." In this review, we discuss select NDDs with known or suspected sleep and circadian phenotypes. We also highlight important considerations when evaluating and treating sleep and circadian disorders in these populations.
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Affiliation(s)
- Sharon Tamir
- University of Cincinnati College of Medicine, Cincinnati, OH; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Thomas J Dye
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Rochelle M Witt
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
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26
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Lyall DM, Kormilitzin A, Lancaster C, Sousa J, Petermann‐Rocha F, Buckley C, Harshfield EL, Iveson MH, Madan CR, McArdle R, Newby D, Orgeta V, Tang E, Tamburin S, Thakur LS, Lourida I, Llewellyn DJ, Ranson JM. Artificial intelligence for dementia-Applied models and digital health. Alzheimers Dement 2023; 19:5872-5884. [PMID: 37496259 PMCID: PMC10955778 DOI: 10.1002/alz.13391] [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: 12/14/2022] [Revised: 05/19/2023] [Accepted: 05/26/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as "deep phenotyping" cohorts with multi-omics health data become available. METHODS This narrative review synthesizes understanding of applied models and digital health technologies, in terms of dementia risk prediction, diagnostic discrimination, prognosis, and progression. Machine learning approaches show evidence of improved predictive power compared to standard clinical risk scores in predicting dementia, and the potential to decompose large numbers of variables into relatively few critical predictors. RESULTS This review focuses on key areas of emerging promise including: emphasis on easier, more transparent data sharing and cohort access; integration of high-throughput biomarker and electronic health record data into modeling; and progressing beyond the primary prediction of dementia to secondary outcomes, for example, treatment response and physical health. DISCUSSION Such approaches will benefit also from improvements in remote data measurement, whether cognitive (e.g., online), or naturalistic (e.g., watch-based accelerometry).
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Affiliation(s)
- Donald M. Lyall
- School of Health and WellbeingCollege of Medical and Veterinary Sciences, University of GlasgowGlasgowUK
| | | | | | - Jose Sousa
- Personal Health Data ScienceSANO‐Centre for Computational Personalised MedicineKrakowPoland
- Faculty of MedicineHealth and Life Science, Queen's University BelfastBelfastUK
| | - Fanny Petermann‐Rocha
- School of Health and WellbeingCollege of Medical and Veterinary Sciences, University of GlasgowGlasgowUK
- Centro de Investigación BiomédicaFacultad de Medicina, Universidad Diego PortalesSantiagoChile
| | - Christopher Buckley
- Department of SportExercise and Rehabilitation, Northumbria UniversityNewcastle upon TyneUK
| | - Eric L. Harshfield
- Stroke Research Group, Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Matthew H. Iveson
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | | | - Ríona McArdle
- Translational and Clinical Research InstituteFaculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUK
| | | | | | - Eugene Tang
- Translational and Clinical Research InstituteFaculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUK
| | - Stefano Tamburin
- Department of NeurosciencesBiomedicine and Movement Sciences, University of VeronaVeronaItaly
| | | | | | | | - David J. Llewellyn
- University of Exeter Medical SchoolExeterUK
- Alan Turing InstituteLondonUK
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27
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Witt RM, Byars KC, Decker K, Dye TJ, Riley JM, Simmons D, Smith DF. Current Considerations in the Diagnosis and Treatment of Circadian Rhythm Sleep-Wake Disorders in Children. Semin Pediatr Neurol 2023; 48:101091. [PMID: 38065634 PMCID: PMC10710539 DOI: 10.1016/j.spen.2023.101091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 09/29/2023] [Indexed: 12/18/2023]
Abstract
Circadian Rhythm Sleep-Wake Disorders (CRSWDs) are important sleep disorders whose unifying feature is a mismatch between the preferred or required times for sleep and wakefulness and the endogenous circadian drives for these. Their etiology, presentation, and treatment can be different in pediatric patients as compared to adults. Evaluation of these disorders must be performed while viewed through the lens of a patient's comorbid conditions. Newer methods of assessment promise to provide greater diagnostic clarity and critical insights into how circadian physiology affects overall health and disease states. Effective clinical management of CRSWDs is multimodal, requiring an integrated approach across disciplines. Therapeutic success depends upon appropriately timed nonpharmacologic and pharmacologic interventions. A better understanding of the genetic predispositions for and causes of CRSWDs has led to novel clinical opportunities for diagnosis and improved therapeutics.
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Affiliation(s)
- Rochelle M Witt
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Kelly C Byars
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Kristina Decker
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Thomas J Dye
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Jessica M Riley
- Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Danielle Simmons
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - David F Smith
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pediatric Otolaryngology-Head and Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Otolaryngology- Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
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Reutrakul S, Irsheed GA, Park M, Steffen AD, Burke L, Pratuangtham S, Baron KG, Duffecy J, Perez R, Quinn L, Withington MHC, Saleh AH, Loiacono B, Mihailescu D, Martyn-Nemeth P. Association between sleep variability and time in range of glucose levels in patients with type 1 diabetes: Cross-sectional study. Sleep Health 2023; 9:968-976. [PMID: 37709596 PMCID: PMC10840618 DOI: 10.1016/j.sleh.2023.07.007] [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: 02/23/2023] [Revised: 06/16/2023] [Accepted: 07/10/2023] [Indexed: 09/16/2023]
Abstract
OBJECTIVE Sleep and circadian disturbances emerge as novel factors influencing glycemic control in type 1 diabetes (T1D). We aimed to explore the associations among sleep, behavioral circadian parameters, self-care, and glycemic parameters in T1D. METHODS Seventy-six non-shift-working adult T1D patients participated. Blinded 7-day continuous glucose monitoring (CGM) and hemoglobin A1C (A1C) were collected. Percentages of time-in-range (glucose levels 70-180 mg/dL) and glycemic variability (measured by the coefficient of variation [%CV]) were calculated from CGM. Sleep (duration and efficiency) was recorded using 7-day actigraphy. Variability (standard deviation) of midsleep time was used to represent sleep variability. Nonparametric behavioral circadian variables were derived from actigraphy activity recordings. Self-care was measured by diabetes self-management questionnaire-revised. Multiple regression analyses were performed to identify independent predictors of glycemic parameters. RESULTS Median (interquartile range) age was 34.0 (27.2, 43.1) years, 48 (63.2%) were female, and median (interquartile range) A1C was 6.8% (6.2, 7.4). Sleep duration, efficiency, and nonparametric behavioral circadian variables were not associated with glycemic parameters. After adjusting for age, sex, insulin delivery mode/CGM use, and ethnicity, each hour increase in sleep variability was associated with 9.64% less time-in-range (B = -9.64, 95% confidence interval [-16.29, -2.99], p ≤ .001). A higher diabetes self-management questionnaire score was an independent predictor of lower A1C (B = -0.18, 95% confidence interval [-0.32, -0.04]). CONCLUSION Greater sleep timing variability is independently associated with less time spent in the desirable glucose range in this T1D cohort. Reducing sleep timing variability could potentially lead to improved metabolic control and should be explored in future research. DATA AVAILABILITY STATEMENT Data are available upon a reasonable request to the corresponding author.
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Affiliation(s)
- Sirimon Reutrakul
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA.
| | - Ghada Abu Irsheed
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Minsun Park
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Alana D Steffen
- College of Nursing, Department of Population Health Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Larisa Burke
- Office of Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, Illinois, USA
| | - Sarida Pratuangtham
- Department of Bioengineering, University of California San Diego, San Diego, California, USA
| | - Kelly Glazer Baron
- Division of Public Health, Department of Family and Preventive Medicine, The University of Utah, Salt Lake City, Utah, USA
| | - Jennifer Duffecy
- Department of Psychiatry, College of Medicine, University of Illinois Chicago, Chicago, llinois, USA
| | - Rose Perez
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Laurie Quinn
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Margaret H Clark Withington
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Adam Hussain Saleh
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Bernardo Loiacono
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Dan Mihailescu
- Division of Endocrinology, Cook County Health, Chicago, Illinois, USA
| | - Pamela Martyn-Nemeth
- College of Nursing, Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
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Vallim JRDS, Lima GS, Pires GN, Tufik S, Demarzo M, D'Almeida V. An Overview of the Methods Used to Measure the Impact of Mindfulness-Based Interventions in Sleep-Related Outcomes. Sleep Sci 2023; 16:e476-e485. [PMID: 38197031 PMCID: PMC10773519 DOI: 10.1055/s-0043-1773789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 05/08/2023] [Indexed: 01/11/2024] Open
Abstract
Introduction Systematic reviews and metanalyses have shown that mindfulness-based interventions can have positive effects on health, such as reducing anxiety, depression, and chronic pain. However, their effect on sleep-related outcomes is not yet well established. Sleep can be assessed subjectively (questionnaires, sleep logs, self-reporting) and/or objectively (actigraphy, polysomnography, biological markers), and outcomes may differ depending on which type of assessment is used. Objective In this study, we present a literature overview on mindfulness and sleep, innovatively presenting and discussing studies that address sleep subjectively and objectively. Methods The search was undertaken using four databases (Pubmed Medline, Scopus, Web of Science, Psychinfo) in September 2019, and repeated in May 2021. Studies were analyzed through a two-step process: (1) reading titles and abstracts, and (2) full text analysis that met the review's eligibility criteria, with the final sample comprising 193 articles. We observed a growth in the number of studies published, particularly since 2005. However, this was mostly due to an increase in studies based on subjective research. There is a moderate to nonexistent agreement between objective and subjective sleep measures, with results of subjective measures having higher variability and uncertainty.We identified 151 articles (78%) using an exclusively subjective sleep evaluation, which can cause a misperception about mindfulness effects on sleep. Conclusion Future studies should place greater emphasis on objective measurements to accurately investigate the effects of mindfulness practices on sleep, although subjective measures also have a role to play in respect of some aspects of this relationship.
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Affiliation(s)
| | - Gabriela Sant'Ana Lima
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
| | - Gabriel Natan Pires
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
- Sleep Institute, São Paulo, Brazil
| | - Sergio Tufik
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
- Sleep Institute, São Paulo, Brazil
| | - Marcelo Demarzo
- Department of Preventive Medicine, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
| | - Vânia D'Almeida
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
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Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR Mhealth Uhealth 2023; 11:e49144. [PMID: 37988148 PMCID: PMC10698662 DOI: 10.2196/49144] [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: 05/24/2023] [Revised: 09/11/2023] [Accepted: 10/18/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Patient-generated health data are important in the management of several diseases. Although there are limitations, information can be obtained using a wearable device and time-related information such as exercise time or sleep time can also be obtained. Fitbits can be used to acquire sleep onset, sleep offset, total sleep time (TST), and wakefulness after sleep onset (WASO) data, although there are limitations regarding the depth of sleep and satisfaction; therefore, the patient's subjective response is still important information that cannot be replaced by wearable devices. OBJECTIVE To effectively use patient-generated health data related to time such as sleep, it is first necessary to understand the characteristics of the time response recorded by the user. Therefore, the aim of this study was to analyze the characteristics of individuals' time perception in comparison with wearable data. METHODS Sleep data were acquired for 2 weeks using a Fitbit. Participants' sleep records were collected daily through chatbot conversations while wearing the Fitbit, and the two sets of data were statistically compared. RESULTS In total, 736 people aged 30-59 years were recruited for this study, and the sleep data of 543 people who wore a Fitbit and responded to the chatbot for more than 7 days on the same day were analyzed. Research participants tended to respond to sleep-related times on the hour or in 30-minute increments, and each participant responded within the range of 60-90 minutes from the value measured by the Fitbit. On average for all participants, the chat responses and the Fitbit data were similar within a difference of approximately 15 minutes. Regarding sleep onset, the participant response was 8 minutes and 39 seconds (SD 58 minutes) later than that of the Fitbit data, whereas with respect to sleep offset, the response was 5 minutes and 38 seconds (SD 57 minutes) earlier. The participants' actual sleep time (AST) indicated in the chat was similar to that obtained by subtracting the WASO from the TST measured by the Fitbit. The AST was 13 minutes and 39 seconds (SD 87 minutes) longer than the time WASO was subtracted from the Fitbit TST. On days when the participants reported good sleep, they responded 19 (SD 90) minutes longer on the AST than the Fitbit data. However, for each sleep event, the probability that the participant's AST was within ±30 and ±60 minutes of the Fitbit TST-WASO was 50.7% and 74.3%, respectively. CONCLUSIONS The chatbot sleep response and Fitbit measured time were similar on average and the study participants had a slight tendency to perceive a relatively long sleep time if the quality of sleep was self-reported as good. However, on a participant-by-participant basis, it was difficult to predict participants' sleep duration responses with Fitbit data. Individual variations in sleep time perception significantly affect patient responses related to sleep, revealing the limitations of objective measures obtained through wearable devices.
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Affiliation(s)
- Hyunchul Jang
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Siwoo Lee
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Yunhee Son
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Sumin Seo
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Younghwa Baek
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Sujeong Mun
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Hoseok Kim
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Icktae Kim
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Junho Kim
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
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Frontera JA, Guekht A, Allegri RF, Ashraf M, Baykan B, Crivelli L, Easton A, Garcia-Azorin D, Helbok R, Joshi J, Koehn J, Koralnik I, Netravathi M, Michael B, Nilo A, Özge A, Padda K, Pellitteri G, Prasad K, Romozzi M, Saylor D, Seed A, Thakur K, Uluduz D, Vogrig A, Welte TM, Westenberg E, Zhuravlev D, Zinchuk M, Winkler AS. Evaluation and treatment approaches for neurological post-acute sequelae of COVID-19: A consensus statement and scoping review from the global COVID-19 neuro research coalition. J Neurol Sci 2023; 454:120827. [PMID: 37856998 DOI: 10.1016/j.jns.2023.120827] [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: 06/20/2023] [Revised: 09/14/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023]
Abstract
Post-acute neurological sequelae of COVID-19 affect millions of people worldwide, yet little data is available to guide treatment strategies for the most common symptoms. We conducted a scoping review of PubMed/Medline from 1/1/2020-4/1/2023 to identify studies addressing diagnosis and treatment of the most common post-acute neurological sequelae of COVID-19 including: cognitive impairment, sleep disorders, headache, dizziness/lightheadedness, fatigue, weakness, numbness/pain, anxiety, depression and post-traumatic stress disorder. Utilizing the available literature and international disease-specific society guidelines, we constructed symptom-based differential diagnoses, evaluation and management paradigms. This pragmatic, evidence-based consensus document may serve as a guide for a holistic approach to post-COVID neurological care and will complement future clinical trials by outlining best practices in the evaluation and treatment of post-acute neurological signs/symptoms.
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Affiliation(s)
- Jennifer A Frontera
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA.
| | - Alla Guekht
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - Mariam Ashraf
- Department of Anesthesiology, Weill Cornell Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Betül Baykan
- Department of Neurology, Istanbul University, Istanbul Faculty of Medicine, and EMAR Medical Center, Istanbul, Turkey
| | - Lucía Crivelli
- Department of Cognitive Neurology, Fleni, Buenos Aires, Argentina
| | - Ava Easton
- The Encephalitis Society, Malton, UK; Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - David Garcia-Azorin
- Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Raimund Helbok
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Innsbruck, Austria; Department of Neurology, Johannes Kepler University, Linz, Austria
| | - Jatin Joshi
- Department of Anesthesiology, Weill Cornell Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Julia Koehn
- Department of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Igor Koralnik
- Departmentof Neurology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - M Netravathi
- Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Benedict Michael
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK; National Institute for Health Research Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, UK; The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Annacarmen Nilo
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Aynur Özge
- Department of Neurology, Faculty of Medicine, Mersin University, Mersin, Turkey
| | - Karanbir Padda
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Gaia Pellitteri
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Kameshwar Prasad
- Chief Executive Office, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Marina Romozzi
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Dipartimento Universitario Di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Deanna Saylor
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Internal Medicine, University Teaching Hospital, Lusaka, Zambia
| | - Adam Seed
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Kiran Thakur
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA
| | - Derya Uluduz
- Department of Neurology, Istanbul University, Istanbul Faculty of Medicine, and EMAR Medical Center, Istanbul, Turkey
| | - Alberto Vogrig
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy; Department of Medicine, University of Udine Medical School, Udine, Italy
| | - Tamara M Welte
- Department of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany; Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Erica Westenberg
- Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dmitry Zhuravlev
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - Mikhail Zinchuk
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - Andrea S Winkler
- Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway; Blavatnik Institute of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
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Martin JL, Carlson GC, Kelly MR, Song Y, Mitchell MN, Josephson KR, McGowan SK, Culver NC, Kay M, Erickson A, Saldana KS, May K, Fiorentino L, Alessi CA, Washington DL, Yano EM. Novel treatment based on acceptance and commitment therapy versus cognitive behavioral therapy for insomnia: A randomized comparative effectiveness trial in women veterans. J Consult Clin Psychol 2023; 91:626-639. [PMID: 37535521 PMCID: PMC10592426 DOI: 10.1037/ccp0000836] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
OBJECTIVE This randomized comparative effectiveness trial evaluated a novel insomnia treatment using acceptance and commitment therapy (ACT) among women veterans. Participants received either the acceptance and the behavioral changes to treat insomnia (ABC-I) or cognitive behavioral therapy for insomnia (CBT-I). The primary objectives were to determine whether ABC-I was noninferior to CBT-I in improving sleep and to test whether ABC-I resulted in higher treatment completion and adherence versus CBT-I. METHOD One hundred forty-nine women veterans with insomnia disorder (Mage = 48.0 years) received ABC-I or CBT-I. The main sleep outcomes were Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and sleep efficiency (SE) by actigraphy (objective) and sleep diary (subjective). Measures were collected at baseline, immediate posttreatment, and 3-month posttreatment follow-up. Treatment completion and adherence were assessed during the interventions. RESULTS Both interventions improved all sleep outcomes from baseline to immediate posttreatment and 3-month posttreatment follow-up. At immediate posttreatment, ABC-I was statically noninferior for sleep diary SE and objective SE, but noninferiority was not statistically confirmed for ISI or PSQI total scores. At 3-month posttreatment follow-up, ABC-I was noninferior for all four of the key outcome variables. There was not a statistically significant difference between the number of participants who discontinued CBT-I (11%) versus ABC-I (18%; p = .248) before completing treatment. ABC-I was superior to CBT-I for some adherence metrics. CONCLUSIONS Overall, ABC-I was similar in effectiveness compared to CBT-I for the treatment of insomnia and may improve adherence to some behavioral elements of treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Jennifer L. Martin
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Gwendolyn C. Carlson
- VA Health Services Research & Development Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System
| | - Monica R. Kelly
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Yeonsu Song
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
- School of Nursing at University of California, Los Angeles
| | - Michael N. Mitchell
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
| | - Karen R. Josephson
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
| | - Sarah Kate McGowan
- Department of Mental Health, VA Greater Los Angeles Healthcare System
- Department of Psychiatry, David Geffen School of Medicine at University of California, Los Angeles
| | - Najwa C. Culver
- Department of Mental Health, VA Greater Los Angeles Healthcare System
| | - Morgan Kay
- Department of Mental Health, VA Greater Los Angeles Healthcare System
| | - Alexander Erickson
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
| | - Katie S. Saldana
- Department of Mental Health, VA Greater Los Angeles Healthcare System
| | - Kimiko May
- Department of Mental Health, VA Greater Los Angeles Healthcare System
| | | | - Cathy A. Alessi
- Geriatric Research, Education and Clinical Center, Veteran Affairs (VA) Greater Los Angeles Healthcare System
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Donna L. Washington
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles
- VA Health Services Research & Development Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System
| | - Elizabeth M. Yano
- VA Health Services Research & Development Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System
- Department of Health Policy & Management, Fielding School of Public Health, University of California, Los Angeles
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Buimer HP, Siebelink NM, Gaasterland A, van Dam K, Smits A, Frederiks K, van der Poel A. Sleep-wake monitoring of people with intellectual disability: Examining the agreement of EMFIT QS and actigraphy. JOURNAL OF APPLIED RESEARCH IN INTELLECTUAL DISABILITIES 2023; 36:1276-1287. [PMID: 37489295 DOI: 10.1111/jar.13146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/23/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Gaining insight into sleep-wake patterns of persons with intellectual disabilities is commonly done using wrist actigraphy. For some people, contactless alternatives are needed. This study compares a contactless bed sensor with wrist actigraphy to monitor sleep-wake patterns of people with moderate to profound intellectual disabilities. METHOD Data were collected with EMFIT QS (activity and presence) and MotionWatch 8/Actiwatch 2 (activity, ambient light, and event marker/sleep diary) for 14 nights in 13 adults with moderate-profound intellectual disabilities residing in intramural care. RESULTS In a care-as-usual setting, EMFIT QS and actigraphy assessment show little agreement on sleep-wake variables. CONCLUSION Currently, EMFIT QS should not be considered an alternative to wrist actigraphy for sleep-wake monitoring. Further research is needed into assessing sleep-wake variables using (contactless) technological devices and how the data should be interpreted within the care context to achieve reliable and valid information on sleep-wake patterns of people with intellectual disabilities.
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Affiliation(s)
- Hendrik P Buimer
- Vilans, National Centre of Expertise for Long-term Care, Utrecht, The Netherlands
| | - Nienke M Siebelink
- Academy Het Dorp, Research & Advisory on Technology in Long-term Care, Arnhem, The Netherlands
| | | | - Kirstin van Dam
- Academy Het Dorp, Research & Advisory on Technology in Long-term Care, Arnhem, The Netherlands
| | | | - Kyra Frederiks
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Agnes van der Poel
- Academy Het Dorp, Research & Advisory on Technology in Long-term Care, Arnhem, The Netherlands
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Townsend LTJ, Anderson KN, Boeve BF, McKeith I, Taylor JP. Sleep disorders in Lewy body dementia: Mechanisms, clinical relevance, and unanswered questions. Alzheimers Dement 2023; 19:5264-5283. [PMID: 37392199 DOI: 10.1002/alz.13350] [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: 12/21/2022] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 07/03/2023]
Abstract
In Lewy body dementia (LBD), disturbances of sleep and/or arousal including insomnia, excessive daytime sleepiness, rapid eye movement (REM) sleep behavior disorder, obstructive sleep apnea, and restless leg syndrome are common. These disorders can each exert a significant negative impact on both patient and caregiver quality of life; however, their etiology is poorly understood. Little guidance is available for assessing and managing sleep disorders in LBD, and they remain under-diagnosed and under-treated. This review aims to (1) describe the specific sleep disorders which occur in LBD, considering their putative or potential mechanisms; (2) describe the history and diagnostic process for these disorders in LBD; and (3) summarize current evidence for their management in LBD and consider some of the ongoing and unanswered questions in this field and future research directions.
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Affiliation(s)
- Leigh T J Townsend
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Kirstie N Anderson
- Regional Sleep Service, Newcastle-upon-Tyne NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ian McKeith
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, UK
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G Ravindran KK, Della Monica C, Atzori G, Lambert D, Hassanin H, Revell V, Dijk DJ. Three Contactless Sleep Technologies Compared With Actigraphy and Polysomnography in a Heterogeneous Group of Older Men and Women in a Model of Mild Sleep Disturbance: Sleep Laboratory Study. JMIR Mhealth Uhealth 2023; 11:e46338. [PMID: 37878360 PMCID: PMC10632916 DOI: 10.2196/46338] [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: 02/07/2023] [Revised: 07/11/2023] [Accepted: 08/25/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND Contactless sleep technologies (CSTs) hold promise for longitudinal, unobtrusive sleep monitoring in the community and at scale. They may be particularly useful in older populations wherein sleep disturbance, which may be indicative of the deterioration of physical and mental health, is highly prevalent. However, few CSTs have been evaluated in older people. OBJECTIVE This study evaluated the performance of 3 CSTs compared to polysomnography (PSG) and actigraphy in an older population. METHODS Overall, 35 older men and women (age: mean 70.8, SD 4.9 y; women: n=14, 40%), several of whom had comorbidities, including sleep apnea, participated in the study. Sleep was recorded simultaneously using a bedside radar (Somnofy [Vital Things]: n=17), 2 undermattress devices (Withings sleep analyzer [WSA; Withings Inc]: n=35; Emfit-QS [Emfit; Emfit Ltd]: n=17), PSG (n=35), and actigraphy (Actiwatch Spectrum [Philips Respironics]: n=18) during the first night in a 10-hour time-in-bed protocol conducted in a sleep laboratory. The devices were evaluated through performance metrics for summary measures and epoch-by-epoch classification. PSG served as the gold standard. RESULTS The protocol induced mild sleep disturbance with a mean sleep efficiency (SEFF) of 70.9% (SD 10.4%; range 52.27%-92.60%). All 3 CSTs overestimated the total sleep time (TST; bias: >90 min) and SEFF (bias: >13%) and underestimated wake after sleep onset (bias: >50 min). Sleep onset latency was accurately detected by the bedside radar (bias: <6 min) but overestimated by the undermattress devices (bias: >16 min). CSTs did not perform as well as actigraphy in estimating the all-night sleep summary measures. In an epoch-by-epoch concordance analysis, the bedside radar performed better in discriminating sleep versus wake (Matthew correlation coefficient [MCC]: mean 0.63, SD 0.12, 95% CI 0.57-0.69) than the undermattress devices (MCC of WSA: mean 0.41, SD 0.15, 95% CI 0.36-0.46; MCC of Emfit: mean 0.35, SD 0.16, 95% CI 0.26-0.43). The accuracy of identifying rapid eye movement and light sleep was poor across all CSTs, whereas deep sleep (ie, slow wave sleep) was predicted with moderate accuracy (MCC: >0.45) by both Somnofy and WSA. The deep sleep duration estimates of Somnofy correlated (r2=0.60; P<.01) with electroencephalography slow wave activity (0.75-4.5 Hz) derived from PSG, whereas for the undermattress devices, this correlation was not significant (WSA: r2=0.0096, P=.58; Emfit: r2=0.11, P=.21). CONCLUSIONS These CSTs overestimated the TST, and sleep stage prediction was unsatisfactory in this group of older people in whom SEFF was relatively low. Although it was previously shown that CSTs provide useful information on bed occupancy, which may be useful for particular use cases, the performance of these CSTs with respect to the TST and sleep stage estimation requires improvement before they can serve as an alternative to PSG in estimating most sleep variables in older individuals.
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Affiliation(s)
- Kiran K G Ravindran
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
| | - Ciro Della Monica
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
| | - Giuseppe Atzori
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
| | - Damion Lambert
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
| | - Hana Hassanin
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
- Surrey Clinical Research Facility, School of Biosciences, Faculty of Health and Medical Sciences, Guildford, United Kingdom
- National Institute for Health Research - Royal Surrey Clinical Research Facility, Guildford, United Kingdom
| | - Victoria Revell
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London and the University of Surrey, Guildford, United Kingdom
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Ravindran KKG, della Monica C, Atzori G, Lambert D, Hassanin H, Revell V, Dijk DJ. Contactless and longitudinal monitoring of nocturnal sleep and daytime naps in older men and women: a digital health technology evaluation study. Sleep 2023; 46:zsad194. [PMID: 37471049 PMCID: PMC10566241 DOI: 10.1093/sleep/zsad194] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/16/2023] [Indexed: 07/21/2023] Open
Abstract
STUDY OBJECTIVES To compare the 24-hour sleep assessment capabilities of two contactless sleep technologies (CSTs) to actigraphy in community-dwelling older adults. METHODS We collected 7-14 days of data at home from 35 older adults (age: 65-83), some with medical conditions, using Withings Sleep Analyser (WSA, n = 29), Emfit QS (Emfit, n = 17), a standard actigraphy device (Actiwatch Spectrum [AWS, n = 34]), and a sleep diary (n = 35). We compared nocturnal and daytime sleep measures estimated by the CSTs and actigraphy without sleep diary information (AWS-A) against sleep-diary-assisted actigraphy (AWS|SD). RESULTS Compared to sleep diary, both CSTs accurately determined the timing of nocturnal sleep (intraclass correlation [ICC]: going to bed, getting out of bed, time in bed >0.75), whereas the accuracy of AWS-A was much lower. Compared to AWS|SD, the CSTs overestimated nocturnal total sleep time (WSA: +92.71 ± 81.16 minutes; Emfit: +101.47 ± 75.95 minutes) as did AWS-A (+46.95 ± 67.26 minutes). The CSTs overestimated sleep efficiency (WSA: +9.19% ± 14.26%; Emfit: +9.41% ± 11.05%), whereas AWS-A estimate (-2.38% ± 10.06%) was accurate. About 65% (n = 23) of participants reported daytime naps either in bed or elsewhere. About 90% in-bed nap periods were accurately determined by WSA while Emfit was less accurate. All three devices estimated 24-hour sleep duration with an error of ≈10% compared to the sleep diary. CONCLUSIONS CSTs accurately capture the timing of in-bed nocturnal sleep periods without the need for sleep diary information. However, improvements are needed in assessing parameters such as total sleep time, sleep efficiency, and naps before these CSTs can be fully utilized in field settings.
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Affiliation(s)
- Kiran K G Ravindran
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
| | - Ciro della Monica
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
| | - Giuseppe Atzori
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
| | - Damion Lambert
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
| | - Hana Hassanin
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
- Surrey Clinical Research Facility, Faculty of Health and Medical Sciences, School of Biosciences and Medicine, University of Surrey, Guildford, UK
| | - Victoria Revell
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, Care Research and Technology Centre at Imperial College, London, UK, and University of Surrey, Guildford, UK
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Liu PK, Ting N, Chiu HC, Lin YC, Liu YT, Ku BW, Lee PL. Validation of photoplethysmography- and acceleration-based sleep staging in a community sample: comparison with polysomnography and Actiwatch. J Clin Sleep Med 2023; 19:1797-1810. [PMID: 37338335 PMCID: PMC10545987 DOI: 10.5664/jcsm.10690] [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: 02/23/2023] [Revised: 06/15/2023] [Accepted: 06/15/2023] [Indexed: 06/21/2023]
Abstract
STUDY OBJECTIVES Although wrist-worn consumer wearables are widely used for home sleep monitoring, few have been validated. It is unclear whether consumer wearables could be an alternative to Actiwatch. This study aimed to establish and validate an automatic sleep staging system (ASSS) utilizing photoplethysmography and acceleration data collected from a wrist-worn wearable device. METHODS Seventy-five participants from a community population underwent overnight polysomnography (PSG) while wearing a smartwatch (MT2511) and Actiwatch Spectrum Plus (Philips Respironics, Inc; Murrysville, PA, USA). Photoplethysmography and acceleration data collected from the smartwatches were utilized to build a 4-stage (wake, light sleep, deep sleep, and rapid eye movement [REM] sleep) classifier, which was validated against PSG. The performance of the sleep/wake classifier was compared with Actiwatch. All analyses were conducted separately for participants with PSG sleep efficiency (SE) ≥ 80% and SE < 80%. RESULTS The 4-stage classifier and PSG showed fair overall epoch-by-epoch agreement (kappa, 0.55; 95% confidence interval, 0.52 to 0.57). The deep sleep and REM times were comparable between ASSS and PSG, while ASSS underestimated the wake time and overestimated the light sleep time among participants with SE < 80%. Moreover, ASSS underestimated sleep-onset latency and wake after sleep onset and overestimated total sleep time and SE among participants with SE < 80%, while all were comparable among participants with SE ≥ 80%. The biases were smaller for ASSS than for Actiwatch. CONCLUSIONS Our photoplethysmography- and acceleration-based ASSS was reliable for participants with SE ≥ 80% and had a smaller bias than Actiwatch among those with SE < 80%. Thus, ASSS may be a promising alternative to Actiwatch. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Name: Validation of Sleep Healthcare System; URL: https://clinicaltrials.gov/study/NCT04252482; Identifier: NCT04252482. CITATION Liu P-K, Ting N, Chiu H-C, et al. Validation of photoplethysmography- and acceleration-based sleep staging in a community sample: comparison with polysomnography and Actiwatch. J Clin Sleep Med. 2023;19(10):1797-1810.
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Affiliation(s)
- Po-Kang Liu
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Nettie Ting
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Hung-Chih Chiu
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Yu-Cheng Lin
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Yu-Ting Liu
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Bo-Wen Ku
- Department of Multimedia Technology Development, MediaTek, Inc., Hsinchu, Taiwan
| | - Pei-Lin Lee
- Center of Sleep Disorder, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Center for Electronics Technology Integration, National Taiwan University, Taipei, Taiwan
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Dubessy AL, Arnulf I. Sleepiness in neurological disorders. Rev Neurol (Paris) 2023; 179:755-766. [PMID: 37598089 DOI: 10.1016/j.neurol.2023.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 08/21/2023]
Abstract
Sleepiness is a frequent and underrecognized symptom in neurological disorders, that impacts functional outcomes and quality of life. Multiple and potentially additive factors might contribute to sleepiness in neurological disorders, including sleep quality alterations, circadian rhythm disorders, drugs, and sleep disorders including sleep apnea or central disorders of hypersomnolence. Physician awareness of the possible symptoms of hypersomnolence, and associated causes is of crucial importance to allow proper identification and treatment of underlying causes. This review first provides a brief overview on clinical aspects of excessive daytime sleepiness, and diagnosis tools, then examines its frequency and mechanisms in various neurological disorders, including neurodegenerative disorders, multiple sclerosis, autoimmune encephalitis, epilepsy, and stroke.
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Affiliation(s)
- A-L Dubessy
- Saint Antoine Hospital, Assistance publique des Hôpitaux de Paris (AP-HP), Paris, France.
| | - I Arnulf
- Sleep Disorder Unit, Pitié-Salpêtrière Hospital and Sorbonne University, Paris, France; National Reference Network for Orphan Diseases: Narcolepsy and Rare Hypersomnias, Paris, France
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Drager LF, Assis M, Bacelar AFR, Poyares DLR, Conway SG, Pires GN, de Azevedo AP, Carissimi A, Eckeli AL, Pentagna Á, Almeida CMO, Franco CMR, Sobreira EST, Stelzer FG, Mendes GM, Minhoto GR, Linares IMP, Sousa KMM, Gitaí LLG, Sukys-Claudino L, Sobreira-Neto MA, Zanini MA, Margis R, Martinez SCG. 2023 Guidelines on the Diagnosis and Treatment of Insomnia in Adults - Brazilian Sleep Association. Sleep Sci 2023; 16:507-549. [PMID: 38370879 PMCID: PMC10869237 DOI: 10.1055/s-0043-1776281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Abstract
Chronic insomnia disorder (simplified in this document as insomnia) is an increasingly common clinical condition in society and a frequent complaint at the offices of different areas of health practice (particularly Medicine and Psychology). This scenario has been accompanied by a significant evolution in treatment, as well as challenges in approaching patients in an appropriately way. This clinical guideline, coordinated by the Brazilian Sleep Association and the Brazilian Association of Sleep Medicine and counting on the active participation of various specialists in the area, encompasses an update on the diagnosis and treatment of insomnia in adults. To this end, it followed a structured methodology. Topics of interest related to diagnosis were written based on theoretical framework, evidence in the literature, and professional experience. As for the topics related to the treatment of insomnia, a series of questions were developed based on the PICO acronym (P - Patient, problem, or population; I - Intervention; C - Comparison, control, or comparator; O - Outcome). The work groups defined the eligible options within each of these parameters. Regarding pharmacological interventions, only the ones currently available in Brazil or possibly becoming available in the upcoming years were considered eligible. Systematic reviews were conducted to help prepare the texts and define the level of evidence for each intervention. The final result is an objective and practical document providing recommendations with the best scientific support available to professionals involved in the management of insomnia.
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Affiliation(s)
- Luciano Ferreira Drager
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Unidades de HipertenSão, Instituto do Coração (InCor) e Disciplina de Nefrologia, Universidade de São Paulo, São Paulo, SP, Brazil.
| | - Márcia Assis
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Clínica do Sono de Curitiba, Hospital São Lucas, Curitiba, Brazil.
| | - Andrea Frota Rego Bacelar
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Clínica Bacelar - Neuro e Sono, Rio de Janeiro, RJ, Brazil.
| | - Dalva Lucia Rollemberg Poyares
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- Instituto do Sono, São Paulo, SP, Brazil.
| | - Silvia Gonçalves Conway
- Instituto de Psiquiatria (IPq), Universidade de São Paulo, São Paulo, SP, Brazil.
- Departamento de Otoneurologia, Universidade de São Paulo, São Paulo, SP, Brazil.
- AkasA - Formação e Conhecimento, São Paulo, SP, Brazil.
| | - Gabriel Natan Pires
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- Instituto do Sono, São Paulo, SP, Brazil.
| | | | - Alicia Carissimi
- Faculdade Dom Bosco, Porto Alegre, RS, Brazil.
- Cronosul Clínica de Psicologia do Sono, Psicoterapia e Neuropsicologia, Porto Alegre, RS, Brazil.
| | - Allan Luiz Eckeli
- Departamento de Neurociências e Ciências do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.
| | - Álvaro Pentagna
- Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
| | | | | | - Emmanuelle Silva Tavares Sobreira
- AkasA - Formação e Conhecimento, São Paulo, SP, Brazil.
- Universidade Federal do Ceará, Fortaleza, CE, Brazil.
- Clínica Sinapse Diagnóstico, Fortaleza, CE, Brazil.
| | - Fernando Gustavo Stelzer
- Departamento de Neurociências e Ciências do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.
| | | | | | - Ila Marques Porto Linares
- Instituto de Psiquiatria (IPq), Universidade de São Paulo, São Paulo, SP, Brazil.
- Instituto da Criança, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
| | - Ksdy Maiara Moura Sousa
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- SleepUp Tecnologia e Saúde LTDA, São Paulo, SP, Brazil.
| | | | - Lucia Sukys-Claudino
- Disciplina de Neurologia, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
| | | | - Marcio Andrei Zanini
- Instituto de Assistência Médica ao Servidor Público Estadual (IAMPSE), São Paulo, SP, Brazil.
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Chiang AA, Khosla S. Consumer Wearable Sleep Trackers: Are They Ready for Clinical Use? Sleep Med Clin 2023; 18:311-330. [PMID: 37532372 DOI: 10.1016/j.jsmc.2023.05.005] [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: 08/04/2023]
Abstract
As the importance of good sleep continues to gain public recognition, the market for sleep-monitoring devices continues to grow. Modern technology has shifted from simple sleep tracking to a more granular sleep health assessment. We examine the available functionalities of consumer wearable sleep trackers (CWSTs) and how they perform in healthy individuals and disease states. Additionally, the continuum of sleep technology from consumer-grade to medical-grade is detailed. As this trend invariably grows, we urge professional societies to develop guidelines encompassing the practical clinical use of CWSTs and how best to incorporate them into patient care plans.
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Affiliation(s)
- Ambrose A Chiang
- Division of Sleep Medicine, Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, Suite 2B-129, Cleveland, OH 44106, USA; Division of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.
| | - Seema Khosla
- North Dakota Center for Sleep, 1531 32nd Avenue S Ste 103, Fargo, ND 58103, USA
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41
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Petek BJ, Al-Alusi MA, Moulson N, Grant AJ, Besson C, Guseh JS, Wasfy MM, Gremeaux V, Churchill TW, Baggish AL. Consumer Wearable Health and Fitness Technology in Cardiovascular Medicine: JACC State-of-the-Art Review. J Am Coll Cardiol 2023; 82:245-264. [PMID: 37438010 PMCID: PMC10662962 DOI: 10.1016/j.jacc.2023.04.054] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 07/14/2023]
Abstract
The use of consumer wearable devices (CWDs) to track health and fitness has rapidly expanded over recent years because of advances in technology. The general population now has the capability to continuously track vital signs, exercise output, and advanced health metrics. Although understanding of basic health metrics may be intuitive (eg, peak heart rate), more complex metrics are derived from proprietary algorithms, differ among device manufacturers, and may not historically be common in clinical practice (eg, peak V˙O2, exercise recovery scores). With the massive expansion of data collected at an individual patient level, careful interpretation is imperative. In this review, we critically analyze common health metrics provided by CWDs, describe common pitfalls in CWD interpretation, provide recommendations for the interpretation of abnormal results, present the utility of CWDs in exercise prescription, examine health disparities and inequities in CWD use and development, and present future directions for research and development.
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Affiliation(s)
- Bradley J Petek
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA; Knight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Mostafa A Al-Alusi
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nathaniel Moulson
- Division of Cardiology and Sports Cardiology BC, University of British Columbia, Vancouver, British Columbia, Canada
| | - Aubrey J Grant
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Cyril Besson
- Swiss Olympic Medical Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Institute for Sport Science, University of Lausanne (ISSUL), Lausanne, Switzerland
| | - J Sawalla Guseh
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Meagan M Wasfy
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Vincent Gremeaux
- Swiss Olympic Medical Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Institute for Sport Science, University of Lausanne (ISSUL), Lausanne, Switzerland
| | - Timothy W Churchill
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Aaron L Baggish
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA; Swiss Olympic Medical Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Institute for Sport Science, University of Lausanne (ISSUL), Lausanne, Switzerland.
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Duo L, Yu X, Hu R, Duan X, Zhou J, Wang K. Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review. Front Psychiatry 2023; 14:1157790. [PMID: 37324825 PMCID: PMC10267346 DOI: 10.3389/fpsyt.2023.1157790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient's quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug-drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.
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Horne RS, Shetty M, Vandeleur M, Davey MJ, Walter LM, Nixon GM. Assessing sleep in children with Down syndrome: Comparison of parental sleep diaries, actigraphy and polysomnography. Sleep Med 2023; 107:309-315. [PMID: 37271108 DOI: 10.1016/j.sleep.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/24/2023] [Accepted: 05/02/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND This study compared measurements of sleep and wake assessed with actigraphy, sleep diary and polysomnography in children with Down syndrome (DS) and also compared measures of actigraphic sleep recording in children with DS and typically developing (TD) children. METHODS Children with DS aged 3-19 years (N = 44) referred for assessment of sleep disordered breathing (SDB) underwent overnight polysomnography, together with 1 week of actigraphy with sleep diary. Actigraphy data from the children with DS were compared with data collected from TD children, matched for age and sex. RESULTS 22 children (50%) with DS completed >3 consecutive nights of actigraphy with a matched sleep diary. There were no differences between bedtimes, wake times or time in bed on weeknights, weekends or over 7 nights between actigraphy and sleep diary. Total sleep time was over estimated by the sleep diary by almost 2 h and the number of night awakenings under-reported. Compared to matched TD children (N = 22), there was no difference in total sleep time, however children with DS fell asleep more quickly (p < 0.001), had more awakenings (p = 0.001) and more time awake after sleep onset (p = 0.007). Children with DS exhibited less variability in both bedtimes and wake times, and fewer had >1 h sleep schedule variability. CONCLUSIONS Parental sleep diaries over-estimate total sleep time but accurately report bed and wake times compared to actigraphy in children with DS. Children with DS have more regular sleep patterns than TD children of the same age, which is important for optimising daytime functioning. The reasons behind this warrant further investigation.
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Affiliation(s)
- Rosemary Sc Horne
- Department of Paediatrics, Monash University, Melbourne, Victoria, Australia.
| | - Marisha Shetty
- Department of Paediatrics, Monash University, Melbourne, Victoria, Australia
| | - Moya Vandeleur
- Department of Respiratory and Sleep Medicine, The Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Margot J Davey
- Department of Paediatrics, Monash University, Melbourne, Victoria, Australia; Melbourne Children's Sleep Centre, Monash Children's Hospital, Melbourne, Victoria, Australia
| | - Lisa M Walter
- Department of Paediatrics, Monash University, Melbourne, Victoria, Australia
| | - Gillian M Nixon
- Department of Paediatrics, Monash University, Melbourne, Victoria, Australia; Melbourne Children's Sleep Centre, Monash Children's Hospital, Melbourne, Victoria, Australia
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Zhai H, Yan Y, He S, Zhao P, Zhang B. Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis. SENSORS (BASEL, SWITZERLAND) 2023; 23:4842. [PMID: 37430756 DOI: 10.3390/s23104842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs' performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.
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Affiliation(s)
- Huifang Zhai
- Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400044, China
- Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400044, China
| | - Yonghong Yan
- Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400044, China
- Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400044, China
| | - Siqi He
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
| | - Pinyong Zhao
- College of Mathematics and Statistics, Chongqing University, Chongqing 400044, China
| | - Bohan Zhang
- Faculty of Engineering, The University of Sydney, Camperdown, NSW 2006, Australia
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Abdelaziz M, Alhejaili F, Alnouri L, Samman A, Alzehairi A, Balkhyour M, Alsumrani R, Pandi-Perumal SR, Wali SO. Sleep Patterns of Pilots: An Objective Assessment. Cureus 2023; 15:e38983. [PMID: 37378186 PMCID: PMC10292132 DOI: 10.7759/cureus.38983] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 06/29/2023] Open
Abstract
Objectives Circadian dysregulation (jetlag), sleep loss (extended wakefulness), sleep deprivation (acute or chronic), fatigue (exhaustion), preexisting medical and mental conditions, and medication use can all affect the cognitive and behavioral performance of commercial aircraft pilots. This study evaluated the sleep habits of pilots and copilots flying short-haul flights in the Gulf region. Methods This cross-sectional study examined Airbus A320 pilots and copilots for one of Saudi Arabia's commercial airlines. Data such as age, sex, body mass index (BMI), employment position, work experience, flight hours, and rest time were collected. Each participant completed the Epworth Sleepiness Scale (ESS) for daytime sleepiness, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Index (FSI). Actigraphy equipment was used to perform objective sleep evaluations. Results Twenty-four participants were included. Actigraphy showed that 66.7% had an irregular sleep pattern and that 41.7% had poor sleep efficiency. We found that 12.5% had daytime sleepiness, 33% had poor sleep quality, and 29.2% had fatigue. We found a significant negative correlation between years of experience and time in bed; however, there was no significant difference in sleep time or sleep efficiency between pilots with different levels of experience. Conclusions We found that pilots and copilots are at risk of irregular sleep patterns, poor sleep efficiency, poor sleep quality, daytime sleepiness, and fatigue. This study emphasizes the need to instigate measures to minimize these risks.
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Affiliation(s)
| | - Faris Alhejaili
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, SAU
| | - Loai Alnouri
- Internal Medicine Department, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU
| | - Abdulrahman Samman
- Internal Medicine Department, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU
| | - Ahmed Alzehairi
- Faculty of Environmental Sciences, King Abdulaziz University, Jeddah, SAU
| | - Mansour Balkhyour
- Faculty of Environmental Sciences, King Abdulaziz University, Jeddah, SAU
| | - Ranya Alsumrani
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, SAU
| | | | - Siraj O Wali
- Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, SAU
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Ali FZ, Parsey RV, Lin S, Schwartz J, DeLorenzo C. Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response. NPJ Digit Med 2023; 6:81. [PMID: 37120493 PMCID: PMC10148831 DOI: 10.1038/s41746-023-00827-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/11/2023] [Indexed: 05/01/2023] Open
Abstract
Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression.
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Affiliation(s)
- Farzana Z Ali
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.
| | - Ramin V Parsey
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychology, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Radiology, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Shan Lin
- Department of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Joseph Schwartz
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Christine DeLorenzo
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY, 10032, USA
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47
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Butris N, Tang E, He D, Wang DX, Chung F. Sleep disruption in older surgical patients and its important implications. Int Anesthesiol Clin 2023; 61:47-54. [PMID: 36727706 DOI: 10.1097/aia.0000000000000391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Nina Butris
- Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Evan Tang
- Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - David He
- Department of Anesthesia and Pain Management, Mount Sinai Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Dong-Xin Wang
- Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Frances Chung
- Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada
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48
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Hillman DR, Carlucci M, Charchaflieh JG, Cloward TV, Gali B, Gay PC, Lyons MM, McNeill MM, Singh M, Yilmaz M, Auckley DH. Society of Anesthesia and Sleep Medicine Position Paper on Patient Sleep During Hospitalization. Anesth Analg 2023; 136:814-824. [PMID: 36745563 DOI: 10.1213/ane.0000000000006395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This article addresses the issue of patient sleep during hospitalization, which the Society of Anesthesia and Sleep Medicine believes merits wider consideration by health authorities than it has received to date. Adequate sleep is fundamental to health and well-being, and insufficiencies in its duration, quality, or timing have adverse effects that are acutely evident. These include cardiovascular dysfunction, impaired ventilatory function, cognitive impairment, increased pain perception, psychomotor disturbance (including increased fall risk), psychological disturbance (including anxiety and depression), metabolic dysfunction (including increased insulin resistance and catabolic propensity), and immune dysfunction and proinflammatory effects (increasing infection risk and pain generation). All these changes negatively impact health status and are counterproductive to recovery from illness and operation. Hospitalization challenges sleep in a variety of ways. These challenges include environmental factors such as noise, bright light, and overnight awakenings for observations, interventions, and transfers; physiological factors such as pain, dyspnea, bowel or urinary dysfunction, or discomfort from therapeutic devices; psychological factors such as stress and anxiety; care-related factors including medications or medication withdrawal; and preexisting sleep disorders that may not be recognized or adequately managed. Many of these challenges appear readily addressable. The key to doing so is to give sleep greater priority, with attention directed at ensuring that patients' sleep needs are recognized and met, both within the hospital and beyond. Requirements include staff education, creation of protocols to enhance the prospect of sleep needs being addressed, and improvement in hospital design to mitigate environmental disturbances. Hospitals and health care providers have a duty to provide, to the greatest extent possible, appropriate preconditions for healing. Accumulating evidence suggests that these preconditions include adequate patient sleep duration and quality. The Society of Anesthesia and Sleep Medicine calls for systematic changes in the approach of hospital leadership and staff to this issue. Measures required include incorporation of optimization of patient sleep into the objectives of perioperative and general patient care guidelines. These steps should be complemented by further research into the impact of hospitalization on sleep, the effects of poor sleep on health outcomes after hospitalization, and assessment of interventions to improve it.
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Affiliation(s)
- David R Hillman
- From the West Australian Sleep Disorders Research Institute, Centre for Sleep Science, University of Western Australia, Perth, Western Australia, Australia
| | - Melissa Carlucci
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Jean G Charchaflieh
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut
| | - Tom V Cloward
- Division of Sleep Medicine, Intermountain Health Care and Division of Pulmonary, Critical Care and Sleep Medicine, University of Utah, Salt Lake City, Utah
| | - Bhargavi Gali
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Peter C Gay
- Division of Pulmonary, Critical Care, and Sleep Medicine, Mayo Clinic, Rochester, Minnesota
| | - M Melanie Lyons
- Division of Pulmonary, Critical Care, and Sleep Medicine, the Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | - Mandeep Singh
- Department of Anesthesia, Women's College Hospital, and Toronto Western Hospital, University Health Network; University of Toronto, Toronto, Ontario, Canada
| | - Meltem Yilmaz
- Department of Anesthesiology, Northwestern University, Chicago, Illinois
| | - Dennis H Auckley
- Division of Pulmonary, Critical Care and Sleep Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
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49
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Loughan AR, Lanoye A, Willis KD, Ravyts SG, Fox A, Zukas A, Kim Y. Study protocol for Cognitive Behavioral Therapy for Insomnia in patients with primary brain tumor: A single-arm phase 2a proof-of-concept trial. Contemp Clin Trials Commun 2023; 32:101083. [PMID: 36879641 PMCID: PMC9984952 DOI: 10.1016/j.conctc.2023.101083] [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: 09/08/2022] [Revised: 01/23/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023] Open
Abstract
Background Sleep disturbance is among the most common symptoms endorsed by patients with primary brain tumor (PwPBT), with many reporting clinically elevated insomnia and poor management of their sleep-related symptoms by their medical team. Though Cognitive Behavioral Therapy for Insomnia (CBT-I) remains the front-line treatment for sleep disturbance, CBT-I has yet to be evaluated in PwPBT. Thus, it is unknown whether CBT-I is feasible, acceptable, or safe for patients with primary brain tumors. Methods PwPBT (N = 44) will enroll and participate in a six-week group-based CBT-I intervention delivered via telehealth. Feasibility will be based on pre-determined metrics of eligibility, rates and reasons for ineligibility, enrollment, and questionnaire completion. Acceptability will be measured by participant retention, session attendance, satisfaction ratings, and recommendation to others. Safety will be assessed by adverse event reporting. Sleep will be measured both objectively via wrist-worn actigraphy and subjectively via self-report. Participants will also complete psychosocial questionnaires at baseline, post-intervention, and three-month follow-up. Conclusion CBT-I, a non-pharmacological treatment option for insomnia, has the potential to be beneficial for an at-risk, underserved population: PwPBT. This trial will be the first to assess feasibility, acceptability, and safety of CBT-I in PwPBT. If successful, this protocol will be implemented in a more rigorous phase 2b randomized feasibility pilot with the aim of widespread implementation of CBT-I in neuro-oncology clinics.
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Affiliation(s)
- Ashlee R Loughan
- Virginia Commonwealth University, Department of Neurology, USA.,Virginia Commonwealth University, Massey Cancer Center, USA
| | - Autumn Lanoye
- Virginia Commonwealth University, Department of Health Behavior and Policy, USA.,Virginia Commonwealth University, Massey Cancer Center, USA
| | - Kelcie D Willis
- Virginia Commonwealth University, Department of Psychology, USA
| | - Scott G Ravyts
- Virginia Commonwealth University, Department of Psychology, USA
| | - Amber Fox
- Virginia Commonwealth University, Department of Psychology, USA
| | - Alicia Zukas
- Medical College of South Carolina, Department of Neurosurgery, USA
| | - Youngdeok Kim
- Virginia Commonwealth University, Department of Kinesiology and Health Sciences, Richmond, VA, USA
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50
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Riccardi S, Ferri R, Garbazza C, Miano S, Manconi M. Pharmacological responsiveness of periodic limb movements in patients with restless legs syndrome: a systematic review and meta-analysis. J Clin Sleep Med 2023; 19:811-822. [PMID: 36692194 PMCID: PMC10071388 DOI: 10.5664/jcsm.10440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/06/2022] [Accepted: 12/06/2022] [Indexed: 01/25/2023]
Abstract
STUDY OBJECTIVES Periodic limb movements during sleep (PLMS) are a frequent finding in restless legs syndrome, but their impact on sleep is still debated, as well the indication for treatment. We systematically reviewed the available literature to describe which drug categories are effective in suppressing PLMS, assessing their efficacy through a meta-analysis, when this was possible. METHODS The review protocol was preregistered on PROSPERO (CRD42021175848), and the systematic search was conducted on and EMBASE (last searched on March 2020). We included original human studies, which assessed PLMS modification on drug treatment with a full-night polysomnography, through surface electrodes on each tibialis anterior muscle. When at least 4 studies were available on the same drug or drug category, we performed a random-effect model meta-analysis. RESULTS Dopamine agonists like pramipexole and ropinirole resulted the most effective, followed by l-dopa and other dopamine agonists. Alpha2delta ligands are moderately effective as well opioids, despite available data on these drugs are much more limited than those on dopaminergic agents. Valproate and carbamazepine did not show a significant effect on PLMS. Clonazepam showed contradictory results. Perampanel and dypiridamole showed promising but still insufficient data. The same applies to iron supplementation. CONCLUSIONS Dopaminergic agents are the most powerful suppressors of PLMS. However, most therapeutic trials in restless legs syndrome do not report objective polysomnographic findings, there is a lack of uniformity in presenting results on PLMS. Longitudinal polysomnographic interventional studies, using well-defined and unanimous scoring criteria and endpoints on PLMS are needed. CITATION Riccardi S, Ferri R, Garbazza C, Miano S, Manconi M. Pharmacological responsiveness of periodic limb movements in patients with restless legs syndrome: a systematic review and meta-analysis. J Clin Sleep Med. 2023;19(4):811-822.
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Affiliation(s)
- Silvia Riccardi
- Sleep Medicine Unit, Regional Hospital of Lugano, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Raffaele Ferri
- Department of Neurology I.C., Oasi Institute for Research on Mental Retardation and Brain Aging (IRCCS), Troina, Italy
| | - Corrado Garbazza
- Sleep Medicine Unit, Regional Hospital of Lugano, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Silvia Miano
- Sleep Medicine Unit, Regional Hospital of Lugano, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Regional Hospital of Lugano, Neurocenter of Southern Switzerland, Lugano, Switzerland
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