scholarly journals Decreased Nocturnal Awakenings in Young Adults Performing Bikram Yoga: A Low-Constraint Home Sleep Monitoring Study

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Ravi S. Kudesia ◽  
Matt T. Bianchi
Keyword(s):  
Sleep Latency ◽  
Transition Probability ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Monitoring ◽  
Work Transition ◽  
Monitoring Study ◽  
Sleep Parameters ◽  
Low Constraint ◽  
The Impact

This pilot study evaluated the impact of Bikram Yoga on subjective and objective sleep parameters. We compared subjective (diary) and objective (headband sleep monitor) sleep measures on yoga versus nonyoga days during a 14-day period. Subjects () were not constrained regarding yoga-practice days, other exercise, caffeine, alcohol, or naps. These activities did not segregate by choice of yoga days. Standard sleep metrics were unaffected by yoga, including sleep latency, total sleep time, and percentage of time spent in rapid eye movement (REM), light non-REM, deep non-REM, or wake after sleep onset (WASO). Consistent with prior work, transition probability analysis was a more sensitive index of sleep architecture changes than standard metrics. Specifically, Bikram Yoga was associated with significantly faster return to sleep after nocturnal awakenings. We conclude that objective home sleep monitoring is feasible in a low-constraint, real-world study design. Further studies on patients with insomnia will determine whether the results generalize or not.

scholarly journals P003 The impact of forced wake from overnight polysomnography on multiple sleep latency test results

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A22-A23
Author(s):  
A Amaranayake ◽  
S Frenkel ◽  
P Lyell ◽  
A Southcott
Keyword(s):  
Diagnostic Accuracy ◽  
Sleep Latency ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Multiple Sleep Latency Test ◽  
Test Results ◽  
The Impact ◽  
Multiple Sleep Latency ◽  
Overnight Polysomnography

Abstract Introduction The multiple sleep latency test (MSLT) is used to diagnose disorders of hypersomnolence. Although internationally-recognised protocols do not stipulate whether patients should be woken from the preceding overnight polysomnography (PSG), many labs wake their patients for logistic reasons. This study analyses the impact on PSG and MSLT parameters of forced wake (FW) from the overnight PSG compared with unrestricted sleep (US). Methods 400 consecutive patients (FW=200; US=200) undergoing PSG/MSLT were included and the following parameters were compared: Epworth Sleepiness Scale (ESS), Morningness-Eveningness Questionnaire score (MEQ), PSG total sleep time (TST), wake-up time from the PSG, overall MSLT sleep latency (MSL), individual nap latencies (SLNap 1–4), number of MSLT naps with sleep-onset REM periods (#SOREMP), and percentage of MSLTs with overall MSL<8 minutes (%MSLT<8). Results The 2 groups were well-matched for ESS and MEQ. The FW group had more males (49% vs 39%). When compared to FW, patients with US had longer TST (+38 minutes; p=<0.0001), later wake-up time (+52 minutes; p<0.0001), longer MSL (+1.9 minutes; p=0.0049), 50% fewer #SOREMP (p=0.0224), and 16% fewer %MSLT<8 (p=0.0018). SLNap1 increased by 1.5 minutes (p=0.0623), SLNap2 increased by 2.0 minutes (p=0.0067), SLNap3 increased by 0.75minutes (p=0.0533) and SLNap4 increased by 2.5 minutes (p=0.0059). Discussion Allowing patients to have unrestricted sleep on the night prior to the MSLT resulted in significantly longer TST, longer sleep latencies during the MSLT, fewer SOREMP and fewer tests with MSL<8 minutes. International protocols should stipulate unrestricted sleep on the PSG prior to the MSLT to improve diagnostic accuracy.

scholarly journals P121 Comparison of Actigraphy versus PSG and Perception of Sleep in Patients with Excessive Daytime Sleepiness

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A60-A61
Author(s):  
T Roebuck ◽  
E McDermott ◽  
R Cuesta ◽  
R Nguy ◽  
M Spiteri ◽  
...  
Keyword(s):  
Sleep Latency ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Diary ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Activity Data ◽  
Significant Difference ◽  
Sleep Parameters ◽  
Perception Of Sleep

Abstract Actigraphy is used as a validated measure of rest and sleep, however, there are reported differences in WASO in healthy individuals (Chinoy, 2021). Methods This study compares the sleep parameters from PSG with simultaneous overnight actigraphy on patients the night prior to MSLT. We also compare the actigraphy data collected on the week prior to the PSG with the patient’s sleep diary. 22 subjects, age 38.7 ± 3.1 years, BMI 23.5 ± 1.4 kg/m2, 40.1% male, 4 participants were treated with CPAP. Results WASO was found to be under estimated by actigraphy versus PSG (y=-0.957x+18.014, R2=0.51), there is an increase in underestimation beyond 18minutes. Our data also show on overestimation of sleep onset latency by actigraphy versus PSG when sleep latency is longer than 12 minutes (y=0.27x-12.04, R2=0.08). Total sleep time was perceived to be longer on the PSG night than the PSG data shows (y=0.68x-4.65, R2=0.21). Data demonstrated participants to overestimate their sleep period in their sleep diary compared to the actigraphy data (y=-0.87x+6.58, R2=0.21). T-tests showed a significant difference between WASO (minutes) detected by PSG and the actigraphy data (67.4 ± 8.9 vs 33.3 ± 3.9 p=0.0007). There were no other significant differences in the datasets. Conclusion Actigraphy uses activity data and light detection to estimate rest and sleep periods in wearers. Our data reflects expected differences reported in the literature of actigraphy data versus PSG due to the limitation of actigraphy being able to differentiate between sleep and motionless wakefulness.

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 1253 Multiple sleep onset REM episodes in middle age woman with excessive daytime sleepiness – Is this automatically assumed narcolepsy?

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A477-A477
Author(s):  
Kamal Patel ◽  
Bianca J Lang
Keyword(s):  
Daytime Sleepiness ◽  
Sleep Latency ◽  
Sleep Onset ◽  
Sleep Time ◽  
Multiple Sleep Latency Test ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Obstructive Sleep ◽  
Falling Asleep ◽  
Multiple Sleep Latency

Abstract Introduction Presence of sleep onset REM episodes often raises concerns of narcolepsy. However other conditions have shown to have presence of sleep on REM episodes which include but not limited to obstructive sleep apnea, sleep wake schedule disturbance, alcoholism, neurodegenerative disorders, depression and anxiety Report of Case Here we present a case of 30 year old female with history of asthma, patent foraman ovale, migraine headache, and anxiety who presented with daytime sleepiness, falling asleep while at work, occasional scheduled naps, non-restorative sleep, sleep paralysis, and hypnopompic hallucination. Pertinent physical exam included; mallampati score of 4/4, retrognathia, high arched hard palate, crowded posterior oropharynx. She had a score of 16 on Epworth sleepiness scale. Patient previously had multiple sleep latency test at outside facility which revealed 4/5 SOREM, with mean sleep onset latency of 11.5 minutes. She however was diagnosed with narcolepsy and tried on modafinil which she failed to tolerate. She was tried on sertraline as well which was discontinued due to lack of benefit. She had repeat multiple sleep latency test work up which revealed 2/5 SOREM, with mean sleep onset latency was 13.1 minutes. Her overnight polysomnogram prior to repeat MSLT showed SOREM with sleep onset latency of 10 minutes. Actigraphy showed consistent sleep pattern overall with sufficient sleep time but was taking hydroxyzine and herbal medication. Patient did not meet criteria for hypersomnolence disorder and sleep disordered breathing. Conclusion There is possibility her medication may have played pivotal role with her daytime symptoms. We also emphasize SOREMs can be present in other disorders such as anxiety in this case and not solely in narcolepsy

scholarly journals P062 Sleep parameter validation of a home-based ballistocardiograph sleep tracker

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A41-A42
Author(s):  
M Kholghi ◽  
I Szollosi ◽  
M Hollamby ◽  
D Bradford ◽  
Q Zhang
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Daily Routine ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Sleep Monitoring ◽  
Significant Discrepancy ◽  
Home Based ◽  
Wake Detection

Abstract Introduction Consumer home sleep trackers are gaining popularity for objective sleep monitoring. Amongst them, non-wearable devices have little disruption in daily routine and need little maintenance. However, the validity of their sleep outcomes needs further investigation. In this study, the accuracy of the sleep outcomes of EMFIT Quantified Sleep (QS), an unobtrusive and non-wearable ballistocardiograph sleep tracker, was evaluated by comparing it with polysomnography (PSG). Methods 62 sleep lab patients underwent a single clinical PSG and their sleep measures were simultaneously collected through PSG and EMFIT QS. Total Sleep Time (TST), Wake After Sleep Onset (WASO), Sleep Onset Latency (SOL) and average Heart Rate (HR) were compared using paired t-tests and agreement analysed using Bland-Altman plots. Results EMFIT QS data loss occurred in 47% of participants. In the remaining 33 participants (15 females, with mean age of 53.7±16.5), EMFIT QS overestimated TST by 177.5±119.4 minutes (p&lt;0.001) and underestimated WASO by 44.74±68.81 minutes (p&lt;0.001). It accurately measured average resting HR and was able to distinguish SOL with some accuracy. However, the agreement between EMFIT QS and PSG on sleep-wake detection was very low (kappa=0.13, p&lt;0.001). Discussion A consensus between PSG and EMFIT QS was found in SOL and average HR. There was a significant discrepancy and lack of consensus between the two devices in other sleep outcomes. These findings indicate that while EMFIT QS is not a credible alternative to PSG for sleep monitoring in clinical and research settings, consumers may find some benefit from longitudinal monitoring of SOL and HR.

scholarly journals 1059 Sleep Parameters In People With Type 2 Diabetes With And Without Insomnia Symptoms

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A402-A403
Author(s):  
M Alshehri ◽  
A Alkathiry ◽  
A Alenazi ◽  
S Alothman ◽  
J Rucker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Circular Data ◽  
Objective Measures ◽  
Subjective Measures ◽  
Sleep Parameters ◽  
Insomnia Symptoms

Abstract Introduction There is an increasing awareness of the high prevalence of insomnia symptoms in people with type 2 diabetes (T2D). Past studies have demonstrated the importance of measuring sleep parameters in both averages and variabilities using subjective and objective methods. Thus, we aimed to compare the averages and variability of sleep parameters in people with T2D with and without insomnia symptoms. Methods Actigraph measurements and sleep diaries were used in 59 participants to assess sleep parameters, including sleep efficiency (SE), sleep latency, total sleep time, and wake after sleep onset over seven nights. Validated instruments were used to assess the symptoms of depression, anxiety, and pain. Circular data were used to describe the distribution of bed distribution with SE as a magnitude for both groups. Mann Whitney U test was utilized to compare averages and variability of sleep parameters between the two groups. Multivariable general linear model to control for demographic and clinical variables. For the secondary aim, multiple linear regression tests were utilized to assess the association between averages and variability values for both groups. Results SE was found to be lower in average and higher in variability for participants with T2D and insomnia symptoms, than those with T2D only subjectively and objectively. SE variability was also the only sleep parameter higher in people with T2D and insomnia symptoms, with psychological symptoms potentially playing a role in this difference. We observed that people in T2D+Insomnia tend to go to bed earlier compared to the T2D only group based on objective measures, but no difference was observed between groups in subjective measures. The only significant relationship in both objective and subjective measures was between the averages and variability of SE. Conclusion Our findings suggest a discrepancy between subjective and objective measures in only average of total sleep time, as well as agreement in measures of variability in sleep parameters. Also, the relationship between averages and variabilities suggested the importance of improving SE to minimize its variability. Further research is warranted to investigate the complex relationship between sleep parameters and psychological factors in people with T2D and insomnia symptoms. Support None

scholarly journals 0738 Advance Taper of Antidepressants Prior to Multiple Sleep Latency Testing Increases the Number of Sleep-Onset Rapid Eye Movement Periods and Reduces Mean Sleep Latency

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A281-A281
Author(s):  
B Kolla ◽  
M Jahani Kondori ◽  
M Silber ◽  
H Samman ◽  
S Dhankikar ◽  
...  
Keyword(s):  
Eye Movement ◽  
Sleep Latency ◽  
Sleep Onset ◽  
Initial Assessment ◽  
Rapid Eye Movement ◽  
Regression Analyses ◽  
Practice Parameters ◽  
The Impact ◽  
Multiple Sleep Latency ◽  
Multiple Sleep Latency Testing

Abstract Introduction Patients presenting with excessive sleepiness are frequently on antidepressant medication(s). While practice parameters recommend discontinuation of antidepressants prior to multiple sleep latency testing (MSLT), data examining the impact of tapering these medications on MSLT results are limited. Methods Adult patients who underwent MSLT at Mayo Clinic Rochester, Minnesota, between 2014-2018 were included. Clinical and demographic characteristics, medications, including use of rapid eye movement suppressing antidepressants (REMS-AD) at assessment and during testing, actigraphy and polysomnography data were manually abstracted. The difference in number of sleep-onset rapid eye movement periods (SOREMS), proportion with ≥2 SOREMS and mean sleep latency (MSL) in patients who were on REMS-AD and discontinued prior to testing versus those who remained on REMS-AD were examined. At our center, all antidepressants are discontinued 2 weeks prior to MSLT wherever feasible; fluoxetine is stopped 4 weeks prior. Regression analyses accounting for demographic, clinical and other medication-related confounders were performed. Results A total of 502 patients (age=38.18±15.90 years; 67% female) underwent MSLT; 178 (35%) were on REMS-AD at the time of assessment. REMS-AD were discontinued prior to testing in 121/178 (70%) patients. Patients tapered off REMS-AD were more likely to have ≥2 SOREMS (OR-12.20; 95%CI=1.60-92.94) compared to patients who remained on REMS-AD at the time of the MSLT. They also had shorter MSL (8.77±0.46 vs 10.21±0.28; p&gt;0.009) and higher odds of having ≥2 SOREMS (OR=2.22; 95%CI=1.23-3.98) compared to patients not on REMS-AD at initial assessment. These differences persisted after regression analyses accounting for confounders. Conclusion Patients who taper off REMS-AD prior to MSLT are more likely to demonstrate ≥2SOREMs and have a shorter MSL. Pending further prospective investigations, clinicians should preferably withdraw REMs-AD before an MSLT. If this is not done, the test interpretation should include a statement regarding the potential effect of the drugs on the results. Support None

Links between sleep and body mass index in bipolar disorders: An exploratory study

2015 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
C. Boudebesse ◽  
P.-A. Geoffroy ◽  
C. Henry ◽  
A. Germain ◽  
J. Scott ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Bipolar Disorders ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.

scholarly journals Polysomnographic evaluation of sleep quality and quantitative variables in women as a function of mood, reproductive status, and age

2012 ◽  
Vol 14 (4) ◽  
pp. 413-424
Keyword(s):  
Sleep Onset ◽  
Onset Time ◽  
Sleep Time ◽  
Reproductive Status ◽  
Cross Sectional ◽  
Stage 4 ◽  
Stage 1 ◽  
Main Effects ◽  
The Impact ◽  
Normal Controls

This archival cross-sectional investigation examined the impact of mood, reproductive status (RS), and age on polysomnographic (PSG) measures in women. PSG was performed on 73 normal controls (NC) and 64 depressed patients (DP), in the course of studies in menstruating, pregnant, postpartum, and peri- and postmenopausal women. A two-factor, between-subjects multivariate analysis of variance (MANOVA) was used to test the main effects of reproductive status (RS: menstrual vs pregnant vs postpartum vs menopausal) and diagnosis (NC vs DP), and their interaction, on PSG measures. To further refine the analyses, a two-factor, between subjects MANOVA was used to test the main effects of age (19 to 27 vs 28 to 36 vs 37 to 45 vs 46+ years) and diagnosis on the PSG data. Analyses revealed that in DP women, rapid eye movement (REM) sleep percentage was significantly elevated relative to NC across both RS and age. Significant differences in sleep efficiency, Stage 1%, and REM density were associated with RS; differences in total sleep time, Stage 2 percentage, and Stage 4 percentage were associated with differences in age. Both RS and age were related to differences in sleep latency, Stage 3 percentage, and Delta percentage. Finally, wake after sleep onset time, REM percentage, and REM latency did not vary with respect to RS or age. Overall, this investigation examined three major variables (mood, RS, and age) that are known to impact sleep in women. Of the variables, age appeared to have the greatest impact on PSG sleep measures, reflecting changes occurring across the lifespan.

scholarly journals Associations of Actigraphic Sleep Parameters With Fatigability in Older Adults

2020 ◽  
Vol 75 (9) ◽  
pp. e95-e102 ◽  
Author(s):  
Alfonso J Alfini ◽  
Jennifer A Schrack ◽  
Jacek K Urbanek ◽  
Amal A Wanigatunga ◽  
Sarah K Wanigatunga ◽  
...  
Keyword(s):  
Older Adults ◽  
Perceived Exertion ◽  
Sleep Onset ◽  
Later Life ◽  
Sleep Time ◽  
Community Dwelling ◽  
Rating Of Perceived Exertion ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Sleep Parameters

Abstract Background Poor sleep may increase the likelihood of fatigue, and both are common in later life. However, prior studies of the sleep–fatigue relationship used subjective measures or were conducted in clinical populations; thus, the nature of this association in healthier community-dwelling older adults remains unclear. We studied the association of actigraphic sleep parameters with perceived fatigability—fatigue in response to a standardized task—and with conventional fatigue symptoms of low energy or tiredness. Methods We studied 382 cognitively normal participants in the Baltimore Longitudinal Study of Aging (aged 73.1 ± 10.3 years, 53.1% women) who completed 6.7 ± 0.9 days of wrist actigraphy and a perceived fatigability assessment, including rating of perceived exertion (RPE) after a 5-minute treadmill walk or the Pittsburgh Fatigability Scale (PFS). Participants also reported non-standardized symptoms of fatigue. Results After adjustment for age, sex, race, height, weight, comorbidity index, and depressive symptoms, shorter total sleep time (TST; &lt;6.3 hours vs intermediate TST ≥6.3 to 7.2 hours) was associated with high RPE fatigability (odds ratio [OR] = 2.56, 95% confidence interval [CI] = 1.29, 5.06, p = .007), high PFS physical (OR = 1.88, 95% CI = 1.04, 3.38, p = .035), and high mental fatigability (OR = 2.15, 95% CI = 1.02, 4.50, p = .044), whereas longer TST was also associated with high mental fatigability (OR = 2.19, 95% CI = 1.02, 4.71, p = .043). Additionally, longer wake bout length was associated with high RPE fatigability (OR = 1.53, 95% CI = 1.14, 2.07, p = .005), and greater wake after sleep onset was associated with high mental fatigability (OR = 1.14, 95% CI = 1.01, 1.28, p = .036). Conclusion Among well-functioning older adults, abnormal sleep duration and sleep fragmentation are associated with greater perceived fatigability.

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