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Overlapping sleep disturbances in persistent tic disorders and attention-deficit hyperactivity disorder: A systematic review and meta-analysis of polysomnographic findings. Neurosci Biobehav Rev 2021; 126:194-212. [PMID: 33766675 DOI: 10.1016/j.neubiorev.2021.03.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Persistent tic disorders (PTDs) and attention-deficit hyperactivity disorder (ADHD) are common neurodevelopmental conditions which tend to co-occur. Both diagnoses are associated with sleep problems. This systematic review and meta-analysis investigates overlaps and distinctions in objective sleep parameters based on diagnosis (PTD-only, PTD + ADHD, and ADHD-only). METHODS Databases were searched to identify studies with objective sleep measures in each population. Meta-analyses were conducted using a random effects model. RESULTS Polysomnography was the only measure included in all three groups. Twenty studies met final inclusion criteria, combining PTD-only (N = 108), PTD + ADHD (N = 79), and ADHD-only (N = 316). Compared to controls (N = 336), PTD-only and PTD + ADHD groups had significantly lower sleep efficiency and higher sleep onset latency. PTD + ADHD also had significantly increased time in bed and total sleep time. No significant differences were observed between ADHD-only groups and controls. DISCUSSION Different sleep profiles appear to characterise each population. PTD + ADHD was associated with more pronounced differences. Further research is required to elucidate disorder-specific sleep problems, ensuring appropriate identification and monitoring of sleep in clinical settings.
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152
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Zheng T. Sleep disturbance in heart failure: A concept analysis. Nurs Forum 2021; 56:710-716. [PMID: 33665809 DOI: 10.1111/nuf.12566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/18/2021] [Accepted: 02/21/2021] [Indexed: 11/28/2022]
Abstract
AIM This concept analysis aims to analyze the concept of sleep disturbance (SD) in the context of heart failure (HF) to guide the development of a clearly defined definition. BACKGROUND The term "sleep disturbance" has been used in the literature to describe sleep problems and sleep disorders among individuals with HF. Environmental, physical, psychological, behavioral, and developmental factors complicate the phenomenon of SD in HF. DESIGN Walker and Avant's method was used for this concept analysis. DATA SOURCE Published literature from 2000 to 2020 was identified from electronic health profession-related databases. The current definition and usages of SD were abstracted from empirical work and electronic databases. REVIEW METHODS A focused review of abstracts and full text relating to SD in HF was performed. Studies featuring original data and peer-reviewed articles written in English were included to investigate the multifactorial contextual meaning of the concept. RESULTS SD in HF can be described as a condition in which individuals experience difficulty initiating and maintaining sleep, and difficulty continuing or resuming sleep due to frequent nocturnal arousals due to HF symptoms, sleep-disordered breathing, insomnia, and psychological burdens. CONCLUSIONS To evaluate SD in HF, clinicians must examine the underlying causes to provide the contextual meaning of the concept. A clearly defined and distinguishable concept of SD in HF provides a possibility for accurate measurements of sleep quality, exploring interventions, and evaluating outcomes.
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Affiliation(s)
- Tao Zheng
- Pre-doctoral Fellow, Omics and Symptom Science Training Program, University of Washington School of Nursing, Registered Nurse, University of Washington Medical Center, Seattle, Washington, USA
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153
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Sleep architecture, obstructive sleep apnea and functional outcomes in adults with a history of Tick-borne encephalitis. PLoS One 2021; 16:e0246767. [PMID: 33556106 PMCID: PMC7870069 DOI: 10.1371/journal.pone.0246767] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 01/25/2021] [Indexed: 01/02/2023] Open
Abstract
Tick-borne encephalitis (TBE) is a widespread viral infection of the central nervous system with increasing incidence in Europe and northern Asia. Post-infectious sequelae are frequent, and patients with TBE commonly experience long-term fatigue and subjective sleep disturbances. Obstructive sleep apnea (OSA) may be a contributing factor, and objective sleep studies with polysomnography (PSG) are lacking. Forty-two adults, 22 TBE patients (cases), diagnosed in Region Västra Götaland, Sweden, between 2012 and 2015, and 20 controls without a known TBE history, underwent an overnight PSG, respectively. All participants responded to questionnaires. The cases and controls were similar regarding age, sex, obesity, concomitant diseases, smoking, and alcohol habits. Despite similar PSG characteristics such as total sleep time and OSA severity indices, the TBE cases reported statistically more sleep-related functional impairment on the Functional Outcome of Sleep Questionnaire (FOSQ) compared with the controls (median scores 18.1 vs. 19.9; p<0.05). In a multivariate analysis, TBE correlated significantly with the lower FOSQ scores (unstandardized β -1.80 [%95 confidence interval -3.02 - -0.58]; p = 0.005) independent of age, sex, total sleep time and apnea-hypopnea-index. TBE cases with OSA reported the lowest scores on the FOSQ compared with the other subgroups with TBE or OSA alone, and the ones with neither TBE nor OSA. TBE is associated with impaired functional outcomes, in which concomitant OSA may worsen the subjective symptoms. Further studies are warranted to determine the effect of treatment of concomitant OSA on functional outcomes with regard to optimal rehabilitation of TBE.
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154
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Subjective cognitive impairment in patients with transformed migraine and the associated psychological and sleep disturbances. Sleep Breath 2021; 25:2119-2126. [PMID: 33543444 DOI: 10.1007/s11325-021-02308-0] [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: 10/22/2020] [Revised: 01/20/2021] [Accepted: 01/29/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE Migraines are associated with multiple comorbidities like depression, anxiety, poor sleep quality, and subjective cognitive impairment (SCI). This study aimed to evaluate the association of SCI with depression, anxiety, and modalities of sleep in those who have transformed migraines (TM). SUBJECTS AND METHODS The study was conducted on 120 participants with TM and 41 control group participants. The subjective cognitive decline questionnaire classified the participants as SCI and non-SCI. The Headache Impact Test-6, Migraine Disability Assessment, Montreal Cognitive Assessment, Mini-Mental State Examination, Patient Health Questionnaire-9, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Full Polysomnography, and Beck's Anxiety and the Depression Inventories were used and analyzed between patients with SCI and non-SCI. RESULTS Patients with TM who had SCI represented 34% with severe headache effects, disability, pain severity, increased depression, and increased anxiety. They showed shorter sleep duration during weekdays, lower sleep quality, less sleep time, lower efficiency, and less REM sleep along with greater sleep latency, periodic limb movements, a higher arousal index, snore index, and percent of NREM3. There was a positive correlation between certain polysomnography parameters like percent NREM3, sleep period, sleep index, sleep latency, sleep arousal index, and periodic limb movements, and an inverse correlation with the percent of REM sleep, total sleep time, and sleep efficiency. CONCLUSION Subjective cognitive complaints are common in patients with transformed migraine affecting about 34% of cases. TM patients with SCI had more sleep and psychological disturbances. TRIAL REGISTRATION Clinicaltrials.gov is NCT04413110.
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155
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Jang TW. Work-Fitness Evaluation for Shift Work Disorder. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031294. [PMID: 33535523 PMCID: PMC7908582 DOI: 10.3390/ijerph18031294] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/07/2021] [Accepted: 01/28/2021] [Indexed: 01/02/2023]
Abstract
Shift work disorder (SWD), which is characterized by insomnia and excessive sleepiness related with shift work, is one of the most common health problems in shift workers. Shift work disorder causes insomnia, fatigue, worse work performance, an increased likelihood of accidents, and a poor quality of life. In addition, SWD is associated with decreased productivity and increased economic costs. The correct management of SWD is important to prevent sleep disturbances and maintain work performance in shift workers. To diagnose and evaluate SWD, it is necessary to take detailed medical histories, assess the severity of sleep disturbances, and evaluate shift workers’ sleep using a sleep diary and actigraphy. The work-fitness evaluation should include recommendations on how shift workers can reduce their sleep disturbances and increase work performance, as well as the assessment of work performance. This paper reviews previous research on the evaluation, diagnosis, and management of SWD and summarizes the work-fitness evaluation of SWD.
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Affiliation(s)
- Tae-Won Jang
- Department of Occupational and Environmental Medicine, Hanyang University, Seoul 04763, Korea
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156
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Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031106. [PMID: 33513712 PMCID: PMC7908130 DOI: 10.3390/ijerph18031106] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/14/2021] [Accepted: 01/23/2021] [Indexed: 11/17/2022]
Abstract
(1) Background: Sleep disorders are a common problem for public health since they are considered potential triggers and predictors of some mental and physical diseases. Evaluating the sleep quality of a person may be a first step to prevent further health issues that diminish their independence and quality of life. Polysomnography (PSG) is the “gold standard” for sleep studies, but this technique presents some drawbacks. Thus, this study intends to assess the capability of the new Xiaomi Mi Smart Band 5 to be used as a tool for sleep self-assessment. (2) Methods: This study will be an observational and prospective study set at the sleep unit of a hospital in A Coruña, Spain. Forty-three participants who meet the inclusion criteria will be asked to participate. Specific statistical methods will be used to analyze the data collected using the Xiaomi Mi Smart Band 5 and PSG. (3) Discussion: This study offers a promising approach to assess whether the Xiaomi Mi Smart Band 5 correctly records our sleep. Even though these devices are not expected to replace PSG, they may be used as an initial evaluation tool for users to manage their own sleep quality and, if necessary, consult a health professional. Further, the device may help users make simple changes to their habits to improve other health issues as well. Trial registration: NCT04568408 (Registered 23 September 2020).
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157
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Patiño MC, Bueno Florez SJ, Gallo L, Ortiz PA, Payán-Gómez C, Molano-Gonzalez N, Rodríguez JH. Gender and Polysomnographic Profiles Findings in Obstructive Sleep Apnea Syndrome Patients Living in High Altitude. Nat Sci Sleep 2021; 13:547-556. [PMID: 33994817 PMCID: PMC8113009 DOI: 10.2147/nss.s287165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Obstructive sleep apnea (OSA) is a common sleep disorder which prevalence is 22% in men and 17% in women. It is well described that females presented different clinical and polysomnographic characteristics compared with men. Those studies were performed in plain areas. We described the analysis by gender and clinical profiles of a sample of patients with diagnostic of OSA and living at high altitude. PATIENTS AND METHODS It is an observational study that describes differences between clinical and polysomnographic characteristics by gender in patients with OSA. Additionally, an unsupervised cluster algorithm was used to find groups of patients with similar clinical and polysomnographic characteristics. RESULTS We included 709 patients, 51.6% were females and 48.3% were males with mean age of 64 and 62 years old, respectively, in which 90.97% presented OSA. Men presented a higher apnea and hypopnea index than women (p=0.002), besides presented more sleep polysomnographic alterations. Meanwhile, women evidenced better sleep quality based on parameters. Additionally, in the sample of patients, we found four separated clinical profiles characterized mainly by differences in the severity of polysomnographic parameters. CONCLUSION The patients were more obese, older, and had lower SpO2 values than most of those previously reported. Men had greater severity in most of the parameters measured by polysomnography. Polysomnographic variables were different both in the OSA patient profiles and in the gender comparison. However, the REM sleep apnea hypopnea index did not differ between sexes, indicating the importance of this variable in the evaluation of OSA severity in women. In contrast to previous reports, clinical and demographic characteristics showed few differences in both analyses. This result suggests that the behavior of OSA at high altitudes may have particularities with respect to low altitudes.
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Affiliation(s)
| | | | - Loren Gallo
- Department of Neurology, Hospital Mederi, Bogotá, Cundinamarca, Colombia
| | - Paola Andrea Ortiz
- Department of Neurology, Fundación Cardioinfantil, Bogotá, Cundinamarca, Colombia.,Grupo de Neurociencias de la Universidad del Rosario (NEUROS), Universidad del Rosario, Bogotá, Cundinamarca, Colombia
| | - César Payán-Gómez
- Department of Biology, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Nicolas Molano-Gonzalez
- Clinical Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Cundinamarca, Colombia
| | - Jesús Hernán Rodríguez
- Department of Neurology, Fundación Cardioinfantil, Bogotá, Cundinamarca, Colombia.,Department of Neurology, Hospital Mederi, Bogotá, Cundinamarca, Colombia.,Grupo de Neurociencias de la Universidad del Rosario (NEUROS), Universidad del Rosario, Bogotá, Cundinamarca, Colombia.,Neurology department, School of Medicine and Health Sciences, Bogotá, Cundinamarca, Colombia
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158
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A randomized phase 1 single-dose polysomnography study of ASP8062, a GABA B receptor positive allosteric modulator. Psychopharmacology (Berl) 2021; 238:867-876. [PMID: 33433644 PMCID: PMC7914186 DOI: 10.1007/s00213-020-05738-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 12/01/2020] [Indexed: 12/29/2022]
Abstract
RATIONALE Previous research suggests that sleep polysomnography and EEG endpoints can be used to assess GABAergic activity; however, the impact of GABAB receptor positive allosteric modulators on sleep endpoints remains unclear. OBJECTIVES This phase 1 study compared a single dose of ASP8062 (35 mg or 70 mg), a GABAB receptor positive allosteric modulator, with placebo and paroxetine (40 mg). METHODS Healthy adult volunteers were randomized to four treatments (35 mg ASP8062, 70 mg ASP8062, paroxetine 40 mg, or matching placebo), each separated by a 14-day washout. Primary endpoints obtained by polysomnography were time in stage N3 or SWS and time in rapid eye movement (REM) sleep. Secondary endpoints included impact on sleep stages and electroencephalography parameters, pharmacokinetics, nighttime growth hormone (GH), and safety/tolerability. RESULTS In 20 randomized volunteers, ASP8062 led to a significant and seemingly dose-dependent increase in SWS over the entire night; this increase was mainly observed during the first third of the night. ASP8062 did not impact time in REM sleep. Paroxetine had no effect on SWS but produced a significant reduction in time spent in REM sleep. A dose-dependent trend in increased GH release was also observed with ASP8062. Headache and nausea were the most commonly reported treatment-emergent adverse events (TEAEs) for ASP8062; most TEAEs were mild in severity. CONCLUSIONS Single-dose ASP8062 (35 and 70 mg) appeared to result in CNS penetration and enhanced GABAergic activity as measured by increases in slow-wave sleep and growth hormone release.
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159
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Castellucci B, Barrea L, Laudisio D, Aprano S, Pugliese G, Savastano S, Colao A, Muscogiuri G. Improving sleep disturbances in obesity by nutritional strategies: review of current evidence and practical guide. Int J Food Sci Nutr 2020; 72:579-591. [PMID: 33238797 DOI: 10.1080/09637486.2020.1851659] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Over the past decades, there has been an increase in overweight and obesity worldwide rates in both in adult and children. In parallel, it has been reported a worsening of sleep duration and quality. Some studies have shown an association between obesity and sleep disturbances (SD) vice versa, subjects with obesity have a greater risk of SD. As well as SD influences diet, also food choices have been shown to influence various sleep-related variables, such as duration and quality. For this reason, nutrition could represent an important tool not only to lose weight but also to improve sleep in patients with obesity and sleep disturbances. Thus, the aim of this review is to provide an overview of the studies that assessed the association between obesity and SD and vice versa, highlighting possible nutritional advices as a tool to improve sleep in patients with obesity and sleep disturbances.
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Affiliation(s)
- Bianca Castellucci
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Luigi Barrea
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Daniela Laudisio
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Sara Aprano
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Gabriella Pugliese
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Silvia Savastano
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
| | - Annamaria Colao
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Cattedra Unesco "Educazione alla salute e allo sviluppo sostenibile", University Federico II, Naples, Italy
| | - Giovanna Muscogiuri
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy.,Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Federico II, Naples, Italy
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160
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Stone JD, Rentz LE, Forsey J, Ramadan J, Markwald RR, Finomore VS, Galster SM, Rezai A, Hagen JA. Evaluations of Commercial Sleep Technologies for Objective Monitoring During Routine Sleeping Conditions. Nat Sci Sleep 2020; 12:821-842. [PMID: 33149712 PMCID: PMC7603649 DOI: 10.2147/nss.s270705] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 09/17/2020] [Indexed: 12/31/2022] Open
Abstract
PURPOSE The commercial market is saturated with technologies that claim to collect proficient, free-living sleep measurements despite a severe lack of independent third-party evaluations. Therefore, the present study evaluated the accuracy of various commercial sleep technologies during in-home sleeping conditions. MATERIALS AND METHODS Data collection spanned 98 separate nights of ad libitum sleep from five healthy adults. Prior to bedtime, participants utilized nine popular sleep devices while concurrently wearing a previously validated electroencephalography (EEG)-based device. Data collected from the commercial devices were extracted for later comparison against EEG to determine degrees of accuracy. Sleep and wake summary outcomes as well as sleep staging metrics were evaluated, where available, for each device. RESULTS Total sleep time (TST), total wake time (TWT), and sleep efficiency (SE) were measured with greater accuracy (lower percent errors) and limited bias by Fitbit Ionic [mean absolute percent error, bias (95% confidence interval); TST: 9.90%, 0.25 (-0.11, 0.61); TWT: 25.64%, -0.17 (-0.28, -0.06); SE: 3.49%, 0.65 (-0.82, 2.12)] and Oura smart ring [TST: 7.39%, 0.19 (0.04, 0.35); TWT: 36.29%, -0.18 (-0.31, -0.04); SE: 5.42%, 1.66 (0.17, 3.15)], whereas all other devices demonstrated a propensity to over or underestimate at least one if not all of the aforementioned sleep metrics. No commercial sleep technology appeared to accurately quantify sleep stages. CONCLUSION Generally speaking, commercial sleep technologies displayed lower error and bias values when quantifying sleep/wake states as compared to sleep staging durations. Still, these findings revealed that there is a remarkably high degree of variability in the accuracy of commercial sleep technologies, which further emphasizes that continuous evaluations of newly developed sleep technologies are vital. End-users may then be able to determine more accurately which sleep device is most suited for their desired application(s).
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Affiliation(s)
- Jason D Stone
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Lauren E Rentz
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Jillian Forsey
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Jad Ramadan
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Rachel R Markwald
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA
| | - Victor S Finomore
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Scott M Galster
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Ali Rezai
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Joshua A Hagen
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
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161
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Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies. SENSORS 2020; 20:s20185171. [PMID: 32927816 PMCID: PMC7571235 DOI: 10.3390/s20185171] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/04/2020] [Accepted: 09/09/2020] [Indexed: 12/13/2022]
Abstract
In Parkinson’s disease (PD), abnormal movements consisting of hypokinetic and hyperkinetic manifestations commonly lead to nocturnal distress and sleep impairment, which significantly impact quality of life. In PD patients, these nocturnal disturbances can reflect disease-related complications (e.g., nocturnal akinesia), primary sleep disorders (e.g., rapid eye movement behaviour disorder), or both, thus requiring different therapeutic approaches. Wearable technologies based on actigraphy and innovative sensors have been proposed as feasible solutions to identify and monitor the various types of abnormal nocturnal movements in PD. This narrative review addresses the topic of abnormal nocturnal movements in PD and discusses how wearable technologies could help identify and assess these disturbances. We first examine the pathophysiology of abnormal nocturnal movements and the main clinical and instrumental tools for the evaluation of these disturbances in PD. We then report and discuss findings from previous studies assessing nocturnal movements in PD using actigraphy and innovative wearable sensors. Finally, we discuss clinical and technical prospects supporting the use of wearable technologies for the evaluation of nocturnal movements.
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162
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Latocha KM, Løppenthin KB, Østergaard M, Jennum PJ, Christensen R, Hetland M, Røgind H, Lundbak T, Midtgaard J, Esbensen BA. Cognitive behavioural therapy for insomnia in patients with rheumatoid arthritis: protocol for the randomised, single-blinded, parallel-group Sleep-RA trial. Trials 2020; 21:440. [PMID: 32471477 PMCID: PMC7257190 DOI: 10.1186/s13063-020-04282-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 03/26/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND More than half of patients with rheumatoid arthritis complain of insomnia, which is predominantly treated with hypnotic drugs. However, cognitive behavioural therapy for insomnia is recommended as the first-line treatment in international guidelines on sleep. Patients with rheumatoid arthritis suffer from debilitating symptoms, such as fatigue and pain, which can also be linked to sleep disturbance. It remains to be determined whether cognitive behavioural therapy for insomnia can be effective in patients with rheumatoid arthritis. The aim of the Sleep-RA trial is to investigate the efficacy of cognitive behavioural therapy for insomnia on sleep and disease-related symptoms in patients with rheumatoid arthritis. The primary objective is to compare the effect of cognitive behavioural therapy for insomnia relative to usual care on changes in sleep efficiency from baseline to week 7 in patients with rheumatoid arthritis. The key secondary objectives are to compare the effect of cognitive behavioural therapy for insomnia relative to usual care on changes in sleep onset latency, wake after sleep onset, total sleep time, insomnia, sleep quality, fatigue, impact of rheumatoid arthritis and depressive symptoms from baseline to week 26 in patients with rheumatoid arthritis. METHODS The Sleep-RA trial is a randomised controlled trial with a two-group parallel design. Sixty patients with rheumatoid arthritis, insomnia and low-to-moderate disease activity will be allocated 1:1 to treatment with cognitive behavioural therapy for insomnia or usual care. Patients in the intervention group will receive nurse-led, group-based cognitive behavioural therapy for insomnia once a week for 6 weeks. Outcome assessments will be carried out at baseline, after treatment (week 7) and at follow-up (week 26). DISCUSSION Data on treatment of insomnia in patients with rheumatoid arthritis are sparse. The Sleep-RA trial is the first randomised controlled trial to investigate the efficacy of cognitive behavioural therapy for insomnia in patients with rheumatoid arthritis. Because symptoms of rheumatoid arthritis and insomnia have many similarities, we also find it relevant to investigate the secondary effects of cognitive behavioural therapy for insomnia on fatigue, impact of rheumatoid arthritis, depressive symptoms, pain, functional status, health-related quality of life and disease activity. If we find cognitive behavioural therapy for insomnia to be effective in patients with rheumatoid arthritis this will add weight to the argument that evidence-based non-pharmacological treatment for insomnia in rheumatological outpatient clinics is eligible in accordance with the existing international guidelines on sleep. TRIAL REGISTRATION ClinicalTrials.gov: NCT03766100. Registered on 30 November 2018.
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Affiliation(s)
- K M Latocha
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark.
| | - K B Løppenthin
- Department of Oncology, Research unit for Cancer Late Effect, CASTLE, Rigshospitalet, Copenhagen, Denmark
| | - M Østergaard
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - P J Jennum
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Glostrup, Denmark
| | - R Christensen
- Musculoskeletal Statistics Unit, The Parker Institute, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - M Hetland
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - H Røgind
- Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
| | - T Lundbak
- Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
| | - J Midtgaard
- The University Hospitals Centre for Health Research, Rigshospitalet, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - B A Esbensen
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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