scholarly journals Validation of Consumer and Research-Grade Activity Monitors Against Polysomnography in Healthy Adults

2019 ◽  
Author(s):  
Ria Jumabhoy ◽  
Svetlana Maskevich ◽  
Pierrer Dap ◽  
Clare Anderson ◽  
Julie Stout ◽  
...  
Keyword(s):  
Total Sleep Time ◽  
Sleep Time ◽  
Activity Monitor ◽  
Healthy Adults ◽  
Limits Of Agreement ◽  
Activity Monitors ◽  
Research Grade ◽  
Consumer Device ◽  
Consumer Devices ◽  
Monitoring Devices

Activity monitoring devices claiming to measure sleep have increased in popularity within research and consumer settings. However, validation studies on many of these devices are lacking. We examined twenty-nine healthy adults (Mage = 32.4, SDage = 11.6) overnight using three activity monitors (Actiwatch Spectrum Pro standard and sensitive settings, Fitbit One, Jawbone UP2) and polysomnography. We evaluated agreement between each device and polysomnography on total sleep time (TST) and sleep efficiency (SE). Clinically meaningful limits of agreement were set at ±30 minutes for TST and ±5% for SE. Each activity monitor overestimated TST and SE compared to polysomnography, and except for Actiwatch Spectrum Pro in sensitive setting, exceeded clinically meaningful agreement limits. Using Actiwatch Spectrum Pro sensitive as the gold standard, both consumer devices overestimated TST and SE, but their mean errors were generally not clinically meaningful (except Fitbit One’s error for SE). Actiwatch Spectrum Pro in its sensitive setting may be a valid substitute for polysomnography when measuring TST and SE. Choice of consumer device as an actigraphy replacement will depend on context. Jawbone UP2 shows closer agreement with Actiwatch Spectrum Pro, though Fitbit One demonstrates less variation in TST and SE estimations.

scholarly journals Evaluating Sleep Characteristics in Intensive Care Unit and Non-Intensive Care Unit Physicians

2011 ◽  
Vol 39 (6) ◽  
pp. 1071-1075 ◽  
Author(s):  
G. Ok ◽  
H. Yilmaz ◽  
D. Tok ◽  
K. Erbüyün ◽  
S. Çoban ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Shift Work ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Latency ◽  
Total Sleep Time ◽  
Total Activity ◽  
Sleep Time ◽  
Sleep Parameters ◽  
Icu Physicians

Healthcare workers’ cognitive performances and alertness are highly vulnerable to sleep loss and circadian rhythms. The purpose of this study was to investigate the changes in sleep characteristics of intensive care unit (ICU) and non-ICU physicians. Actigraphic sleep parameters, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Hamilton Depression Rating Scale were evaluated for ICU and non-ICU physicians on the day before shift-work and on three consecutive days after shift-work. Total sleep time, sleep latency, wakefulness after sleep onset, total activity score, movement fragmentation index, sleep efficiency, daytime naps and total nap duration were also calculated by actigraph. In the ICU physicians, the mean Pittsburgh Sleep Quality Index score was significantly higher than the non-ICU physicians (P=0.001), however mean Epworth Sleepiness Scale scores were not found significantly different between the two groups. None of the scores for objective sleep parameters were statistically different between the groups when evaluated before and after shift-work (P >0.05). However in both ICU and non-ICU physicians, sleep latency was observed to be decreased within the three consecutive-day period after shift-work with respect to basal values (P <0.001). Total sleep time, total activity score and sleep efficiency scores prior to shift-work were significantly different from shift-work and the three consecutive-days after shift-work, in both groups. Working in the ICU does not have an impact on objective sleep characteristics of physicians in this study. Large cohort studies are required to determine long-term health concerns of shift-working physicians.

scholarly journals Tasimelteon safely and effectively improves sleep in Smith–Magenis syndrome: a double-blind randomized trial followed by an open-label extension

2021 ◽  
Author(s):  
Christos M. Polymeropoulos ◽  
Justin Brooks ◽  
Emily L. Czeisler ◽  
Michaela A. Fisher ◽  
Mary M. Gibson ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Crossover Study ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Open Label ◽  
Double Blind ◽  
Open Label Study ◽  
Label Study ◽  
Sleep Complaints ◽  
Open Label Extension

Abstract Purpose To assess the efficacy of tasimelteon to improve sleep in Smith–Magenis syndrome (SMS). Methods A 9-week, double-blind, randomized, two-period crossover study was conducted at four US clinical centers. Genetically confirmed patients with SMS, aged 3 to 39, with sleep complaints participated in the study. Patients were assigned to treatment with tasimelteon or placebo in a 4-week crossover study with a 1-week washout between treatments. Eligible patients participated in an open-label study and were followed for >3 months. Results Improvement of sleep quality (DDSQ50) and total sleep time (DDTST50) on the worst 50% of nights were primary endpoints. Secondary measures included actigraphy and behavioral parameters. Over three years, 52 patients were screened, and 25 patients completed the randomized portion of the study. DDSQ50 significantly improved over placebo (0.4, p = 0.0139), and DDTST50 also improved (18.5 minutes, p = 0.0556). Average sleep quality (0.3, p = 0.0155) and actigraphy-based total sleep time (21.1 minutes, p = 0.0134) improved significantly, consistent with the primary outcomes. Patients treated for ≥90 days in the open-label study showed persistent efficacy. Adverse events were similar between placebo and tasimelteon. Conclusion Tasimelteon safely and effectively improved sleep in SMS.

scholarly journals Gender differences in BaYaka forager sleep-wake patterns in forest and village contexts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Erica Kilius ◽  
David R. Samson ◽  
Sheina Lew-Levy ◽  
Mallika S. Sarma ◽  
Ujas A. Patel ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Small Scale ◽  
Cultural Variation ◽  
Sleep Patterns ◽  
Economic Activities ◽  
Mixed Effect ◽  
Wake Patterns ◽  
The Republic

AbstractSleep studies in small-scale subsistence societies have broadened our understanding of cross-cultural sleep patterns, revealing the flexibility of human sleep. We examined sleep biology among BaYaka foragers from the Republic of Congo who move between environmentally similar but socio-ecologically distinct locations to access seasonal resources. We analyzed the sleep–wake patterns of 51 individuals as they resided in a village location (n = 39) and a forest camp (n = 23) (362 nights total). Overall, BaYaka exhibited high sleep fragmentation (50.5) and short total sleep time (5.94 h), suggestive of segmented sleep patterns. Sleep duration did not differ between locations, although poorer sleep quality was exhibited in the village. Linear mixed effect models demonstrated that women’s sleep differed significantly from men’s in the forest, with longer total sleep time (β ± SE =  − 0.22 ± 0.09, confidence interval (CI) = [− 0.4, − 0.03]), and higher sleep quality (efficiency; β ± SE =  − 0.24 ± 0.09, CI = [− 0.42, − 0.05]). These findings may be due to gender-specific social and economic activities. Circadian rhythms were consistent between locations, with women exhibiting stronger circadian stability. We highlight the importance of considering intra-cultural variation in sleep–wake patterns when taking sleep research into the field.

scholarly journals The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
L. J. Delaney ◽  
E. Litton ◽  
K. L. Melehan ◽  
H.-C. C. Huang ◽  
V. Lopez ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Observational Study ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Moderate Level ◽  
Sleep Monitoring ◽  
Clinical Trial Registration ◽  
Wake Time ◽  
Intensive Care Patients

Abstract Background Sleep amongst intensive care patients is reduced and highly fragmented which may adversely impact on recovery. The current challenge for Intensive Care clinicians is identifying feasible and accurate assessments of sleep that can be widely implemented. The objective of this study was to investigate the feasibility and reliability of a minimally invasive sleep monitoring technique compared to the gold standard, polysomnography, for sleep monitoring. Methods Prospective observational study employing a within subject design in adult patients admitted to an Intensive Care Unit. Sleep monitoring was undertaken amongst minimally sedated patients via concurrent polysomnography and actigraphy monitoring over a 24-h duration to assess agreement between the two methods; total sleep time and wake time. Results We recruited 80 patients who were mechanically ventilated (24%) and non-ventilated (76%) within the intensive care unit. Sleep was found to be highly fragmented, composed of numerous sleep bouts and characterized by abnormal sleep architecture. Actigraphy was found to have a moderate level of overall agreement in identifying sleep and wake states with polysomnography (69.4%; K = 0.386, p < 0.05) in an epoch by epoch analysis, with a moderate level of sensitivity (65.5%) and specificity (76.1%). Monitoring accuracy via actigraphy was improved amongst non-ventilated patients (specificity 83.7%; sensitivity 56.7%). Actigraphy was found to have a moderate correlation with polysomnography reported total sleep time (r = 0.359, p < 0.05) and wakefulness (r = 0.371, p < 0.05). Bland–Altman plots indicated that sleep was underestimated by actigraphy, with wakeful states overestimated. Conclusions Actigraphy was easy and safe to use, provided moderate level of agreement with polysomnography in distinguishing between sleep and wakeful states, and may be a reasonable alternative to measure sleep in intensive care patients. Clinical Trial Registration number ACTRN12615000945527 (Registered 9/9/2015).

scholarly journals A Validation Study of a Commercial Wearable Device to Automatically Detect and Estimate Sleep

Biosensors ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 185
Author(s):  
Dean J. Miller ◽  
Gregory D. Roach ◽  
Michele Lastella ◽  
Aaron T. Scanlan ◽  
Clint R. Bellenger ◽  
...  
Keyword(s):  
Eye Movement ◽  
Sensitivity And Specificity ◽  
Validation Study ◽  
Slow Wave Sleep ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Rapid Eye Movement Sleep ◽  
Two Stage ◽  
Manual Adjustment ◽  
Light Sleep

The aims of this study were to: (1) compare actigraphy (ACTICAL) and a commercially available sleep wearable (i.e., WHOOP) under two functionalities (i.e., sleep auto-detection (WHOOP-AUTO) and manual adjustment of sleep (WHOOP-MANUAL)) for two-stage categorisation of sleep (sleep or wake) against polysomnography, and; (2) compare WHOOP-AUTO and WHOOP-MANUAL for four-stage categorisation of sleep (wake, light sleep, slow wave sleep (SWS), or rapid eye movement sleep (REM)) against polysomnography. Six healthy adults (male: n = 3; female: n = 3; age: 23.0 ± 2.2 yr) participated in the nine-night protocol. Fifty-four sleeps assessed by ACTICAL, WHOOP-AUTO and WHOOP-MANUAL were compared to polysomnography using difference testing, Bland–Altman comparisons, and 30-s epoch-by-epoch comparisons. Compared to polysomnography, ACTICAL overestimated total sleep time (37.6 min) and underestimated wake (−37.6 min); WHOOP-AUTO underestimated SWS (−15.5 min); and WHOOP-MANUAL underestimated wake (−16.7 min). For ACTICAL, sensitivity for sleep, specificity for wake and overall agreement were 98%, 60% and 89%, respectively. For WHOOP-AUTO, sensitivity for sleep, wake, and agreement for two-stage and four-stage categorisation of sleep were 90%, 60%, 86% and 63%, respectively. For WHOOP-MANUAL, sensitivity for sleep, wake, and agreement for two-stage and four-stage categorisation of sleep were 97%, 45%, 90% and 62%, respectively. WHOOP-AUTO and WHOOP-MANUAL have a similar sensitivity and specificity to actigraphy for two-stage categorisation of sleep and can be used as a practical alternative to polysomnography for two-stage categorisation of sleep and four-stage categorisation of sleep.

What Are the Factors Affecting Total Sleep Time During Video Polysomnography in Infants?

2020 ◽  
Author(s):  
Grace R. Paul ◽  
Don Hayes ◽  
Dmitry Tumin ◽  
Ish Gulati ◽  
Sudarshan Jadcherla ◽  
...  
Keyword(s):  
Total Sleep Time ◽  
Sleep Time ◽  
Time Of Day ◽  
Apnea Hypopnea Index ◽  
Clinical Factors ◽  
Initial Management ◽  
Factors Affecting ◽  
Modifiable Factors ◽  
Key Points ◽  
Medical Complexity

Objective The aim of the study is to investigate factors affecting total sleep time (TST) during infant polysomnography (PSG) and assess if <4 hours of TST is sufficient for accurate interpretation. Study Design Overall, 242 PSGs performed in 194 infants <6 months of chronological age between March 2013 and December 2015 were reviewed to identify factors that affect TST, including age of infant, location and timing of study, presence of medical complexity, and presence of nasal tubes. A continuum of apnea-hypopnea index (AHI) in relation to TST was reviewed. Data were examined in infants who had TST <4 hours and low AHI. Results Greater TST (p < 0.001) was noted among infants during nocturnal PSGs, at older chronological and post-menstrual ages, and without medical complexity. The presence of nasogastric/impedance probes reduced TST (p = 0.002). Elevated AHIs were identified even in PSGs with TST <4 hours. Short TST may have affected interpretation and delayed initial management in one infant without any inadvertent complications. Conclusion Clinical factors such as PMA and medical complexity, and potentially modifiable factors such as time of day and location of study appeared to affect TST during infant PSGs. TST < 4 hours can be sufficient to identify high AHI allowing physician interpretation. Key Points

Influence of hypothalamic and ambient temperatures on sleep in kangaroo rats

1979 ◽  
Vol 237 (1) ◽  
pp. R80-R88 ◽  
Author(s):  
S. Sakaguchi ◽  
S. F. Glotzbach ◽  
H. C. Heller
Keyword(s):  
Slow Wave Sleep ◽  
Total Sleep Time ◽  
Paradoxical Sleep ◽  
Sleep Time ◽  
Peripheral Stimulus ◽  
Kangaroo Rats ◽  
Hypothalamic Temperature ◽  
Ambient Temperatures ◽  
Thermoregulatory System

Unanesthetized, unrestrained kangaroo rats (Dipodomys) were studied to examine the changes in the frequency and duration of sleep states caused by long-term manipulations of hypothalamic temperature (Thy) at a thermoneutral (30 degrees C) and a low (20 degrees C) ambient temperature (Ta). A cold stimulus present in either the hypothalamus or the skin decreased both the total sleep time (TST) and the ratio of paradoxical sleep (PS) to TST. At a low Ta, TST, but not the PS-to-TST ratio, was increased by raising Thy, indicating that a cold peripheral stimulus could differentially inhibit PS. At a thermoneutral Ta, cooling Thy decreased both TST and the PS/TST. Changes in the amount of PS were due largely to changes in the frequency, but not the duration, of individual episodes of PS, suggesting that the transition to PS is partially dependent on the thermoregulatory conditions existing during slow-wave sleep (SWS). These results are consistent with the recent findings that the thermoregulatory system is functional during SWS but is inhibited or inactivated during PS.

251 Agreement and reliability of a new polysomnography sleep staging algorithm against multiple human scorers

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A101-A101
Author(s):  
Ulysses Magalang ◽  
Brendan Keenan ◽  
Bethany Staley ◽  
Peter Anderer ◽  
Marco Ross ◽  
...  
Keyword(s):  
Total Sleep Time ◽  
High Reliability ◽  
Sleep Stage ◽  
Intraclass Correlation ◽  
Sleep Time ◽  
Sleep Staging ◽  
Original Dataset ◽  
Scoring Algorithm ◽  
Scoring Algorithms ◽  
Good Agreement

Abstract Introduction Scoring algorithms have the potential to increase polysomnography (PSG) scoring efficiency while also ensuring consistency and reproducibility. We sought to validate an updated sleep staging algorithm (Somnolyzer; Philips, Monroeville PA USA) against manual sleep staging, by analyzing a dataset we have previously used to report sleep staging variability across nine center-members of the Sleep Apnea Global Interdisciplinary Consortium (SAGIC). Methods Fifteen PSGs collected at a single sleep clinic were scored independently by technologists at nine SAGIC centers located in six countries, and auto-scored with the algorithm. Each 30-second epoch was staged manually according to American Academy of Sleep Medicine criteria. We calculated the intraclass correlation coefficient (ICC) and performed a Bland-Altman analysis comparing the average manual- and auto-scored total sleep time (TST) and time in each sleep stage (N1, N2, N3, rapid eye movement [REM]). We hypothesized that the values from auto-scoring would show good agreement and reliability when compared to the average across manual scorers. Results The participants contributing to the original dataset had a mean (SD) age of 47 (12) years and 80% were male. Auto-scoring showed substantial (ICC=0.60-0.80) or almost perfect (ICC=0.80-1.00) reliability compared to manual-scoring average, with ICCs (95% confidence interval) of 0.976 (0.931, 0.992) for TST, 0.681 (0.291, 0.879) for time in N1, 0.685 (0.299, 0.881) for time in N2, 0.922 (0.791, 0.973) for time in N3, and 0.930 (0.811, 0.976) for time in REM. Similarly, Bland-Altman analyses showed good agreement between methods, with a mean difference (limits of agreement) of only 1.2 (-19.7, 22.0) minutes for TST, 13.0 (-18.2, 44.1) minutes for N1, -13.8 (-65.7, 38.1) minutes for N2, -0.33 (-26.1, 25.5) minutes for N3, and -1.2 (-25.9, 23.5) minutes for REM. Conclusion Results support high reliability and good agreement between the auto-scoring algorithm and average human scoring for measurements of sleep durations. Auto-scoring slightly overestimated N1 and underestimated N2, but results for TST, N3 and REM were nearly identical on average. Thus, the auto-scoring algorithm is acceptable for sleep staging when compared against human scorers. Support (if any) Philips.

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