Ambulatory monitoring in humans: a new method to objectively assess circadian phase as compared with dim light melatonin onset (DLMO)

2013 ◽  
Vol 14 ◽  
pp. e79
Author(s):  
M. Bonmati-Carrion ◽  
B. Middleton ◽  
V. Revell ◽  
D. Skene ◽  
A. Rol ◽  
...  
Keyword(s):  
Ambulatory Monitoring ◽  
New Method ◽  
Circadian Phase ◽  
Dim Light Melatonin Onset ◽  
Dim Light

scholarly journals Circadian phase asessment by ambulatory monitoring in humans: Correlation with dim light melatonin onset

2013 ◽  
Vol 31 (1) ◽  
pp. 37-51 ◽  
Author(s):  
M. A. Bonmati-Carrion ◽  
B. Middleton ◽  
V. Revell ◽  
D. J. Skene ◽  
M. A. Rol ◽  
...  
Keyword(s):  
Ambulatory Monitoring ◽  
Circadian Phase ◽  
Dim Light Melatonin Onset ◽  
Dim Light

scholarly journals The Effect of Cognitive Behaviour Therapy on Sleep and Circadian Rhythm in Young College Students

2021 ◽  
pp. 43-47
Author(s):  
Shweta Kanchan ◽  
Sunita Tiwari ◽  
Shweta Singh
Keyword(s):  
Cognitive Behaviour Therapy ◽  
Sleep Time ◽  
Behaviour Therapy ◽  
Circadian Phase ◽  
Dim Light Melatonin Onset ◽  
College Going ◽  
Cognitive Behaviour ◽  
Before And After ◽  
Sleep Parameters ◽  
Dim Light

The present study is to study the effect of cognitive behaviour therapy on various sleep parameters and circadian phase rhythmic in young college going adults. Fifty young college going adults were chosen from the MBBS and BDS students of King George's Medical University Lucknow, their polysomnography was conducted along with it salivary melatonin estimation was conducted to find the time of Dim light melatonin onset (DLMO), the subjects were administered cognitive behaviour therapy (CBT),after completing the sessions of cognitive behaviour therapy another Polysomnographic study and DLMO estimation was conducted, various sleep parameters were compared before and after the CBT. The study showed an improvement in the steep quality, a decrease in daytime sleepiness along with this total sleep time significantly increased, sleep efficiency also improved and there was a decrease in the REM sleep latency. The Dim light melatonin onset advanced for the subjects and the chronotype showed an inclination towards an earlier timings.

scholarly journals Laboratory validation of an in-home method for assessing circadian phase using dim light melatonin onset (DLMO)

2012 ◽  
Vol 13 (6) ◽  
pp. 703-706 ◽  
Author(s):  
Rebecca E. Pullman ◽  
Stephanie E. Roepke ◽  
Jeanne F. Duffy
Keyword(s):  
Circadian Phase ◽  
Dim Light Melatonin Onset ◽  
Dim Light

Dim light melatonin onset (DLMO): A tool for the analysis of circadian phase in human sleep and chronobiological disorders

2007 ◽  
Vol 31 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Seithikurippu R. Pandi-Perumal ◽  
Marcel Smits ◽  
Warren Spence ◽  
Venkataramanujan Srinivasan ◽  
Daniel P. Cardinali ◽  
...  
Keyword(s):  
Circadian Phase ◽  
Human Sleep ◽  
Dim Light Melatonin Onset ◽  
Dim Light

Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales

2021 ◽  
Vol 2 (3) ◽  
pp. 1-15
Author(s):  
Cheng Wan ◽  
Andrew W. Mchill ◽  
Elizabeth B. Klerman ◽  
Akane Sano
Keyword(s):  
Time Scales ◽  
Time Scale ◽  
Light Exposure ◽  
Biological Activities ◽  
Second Step ◽  
Sampled Data ◽  
Dim Light Melatonin Onset ◽  
Dim Light ◽  
Using Data ◽  
Mean Square Errors

Circadian rhythms influence multiple essential biological activities, including sleep, performance, and mood. The dim light melatonin onset (DLMO) is the gold standard for measuring human circadian phase (i.e., timing). The collection of DLMO is expensive and time consuming since multiple saliva or blood samples are required overnight in special conditions, and the samples must then be assayed for melatonin. Recently, several computational approaches have been designed for estimating DLMO. These methods collect daily sampled data (e.g., sleep onset/offset times) or frequently sampled data (e.g., light exposure/skin temperature/physical activity collected every minute) to train learning models for estimating DLMO. One limitation of these studies is that they only leverage one time-scale data. We propose a two-step framework for estimating DLMO using data from both time scales. The first step summarizes data from before the current day, whereas the second step combines this summary with frequently sampled data of the current day. We evaluate three moving average models that input sleep timing data as the first step and use recurrent neural network models as the second step. The results using data from 207 undergraduates show that our two-step model with two time-scale features has statistically significantly lower root-mean-square errors than models that use either daily sampled data or frequently sampled data.

Clinical efficacy of dim light melatonin onset testing in diagnosing delayed sleep phase syndrome

2009 ◽  
Vol 10 (5) ◽  
pp. 549-555 ◽  
Author(s):  
Shadab A. Rahman ◽  
Leonid Kayumov ◽  
Ekaterina A. Tchmoutina ◽  
Colin M. Shapiro
Keyword(s):  
Clinical Efficacy ◽  
Sleep Phase ◽  
Dim Light Melatonin Onset ◽  
Delayed Sleep Phase Syndrome ◽  
Delayed Sleep Phase ◽  
Dim Light ◽  
Delayed Sleep

The Dim Light Melatonin Onset as a Marker for Orcadian Phase Position

1989 ◽  
Vol 6 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Alfred J. Lewy ◽  
Robert L. Sack
Keyword(s):  
Dim Light Melatonin Onset ◽  
Dim Light

scholarly journals 0039 The Clinical Utility of Dim Light Melatonin Onset in Treatment of Delayed Sleep-Wake Phase Disorder: Preliminary Findings

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A16-A16
Author(s):  
L Swanson ◽  
J Arnedt ◽  
K DuBuc ◽  
T de Sibour ◽  
H Burgess
Keyword(s):  
Sleep Onset ◽  
Onset Time ◽  
Sleep Diary ◽  
Double Blind ◽  
Exogenous Melatonin ◽  
Research Award ◽  
Dim Light Melatonin Onset ◽  
Wrist Actigraphy ◽  
Dim Light ◽  
Delayed Sleep

Abstract Introduction Delayed sleep-wake phase disorder (DSWPD) is common, debilitating, and challenging to treat. In an ongoing randomized trial, we are comparing exogenous melatonin treatment outcomes in DSWPD participants for whom dim light melatonin onset (DLMO) is measured objectively vs. estimated. Methods Thus far, 13 participants (27±6 years old, 67% female) have completed a randomized, controlled, double-blind 4-week trial of 0.5 mg of exogenous melatonin timed to either 3 h before measured DLMO (M-DLMO, n = 6) or 3 h before DLMO estimated at 2 h before average sleep onset time based on at least 7 days of wrist actigraphy and sleep diary (E-DLMO, n = 7). All participants met International Classification of Sleep Disorders-3 diagnostic criteria for DSWPD and were otherwise healthy. Participants completed 4 weekly treatment sessions with a blinded psychologist; time of melatonin administration and bed-rise schedule were advanced up to 1 h/week. A validated home saliva collection kit measured DLMO in all participants. Between-group t-tests and Hedges’ g effect sizes (ES) were calculated at post-treatment for the following outcomes: DLMO; Pittsburgh Sleep Quality Index (PSQI) global score; Morningness-Eveningness Questionnaire (MEQ); and the actigraphy parameters sleep efficiency (SE) and clock time of sleep onset and offset. A paired-sample t-test compared the measured vs. estimated DLMO at baseline. Results The M-DLMO group had a 65±88 mins DLMO advance vs. 27±30 mins in the E-DLMO group (ES=0.51 p=.381). PSQI scores were similar between groups (M-DLMO=6.67±2.06, E-DLMO=7.1± 1.57, ES=-0.24, p=.646), as were MEQ scores (M-DLMO=43±4.98, E-DLMO=48±12.72, ES=-0.47, p=.387). Sleep onset time (M-DLMO=0:32±1:02, E-DLMO=0:31±1:38, ES=0.01, p=.98) and offset time (M-DLMO=8:05±1:03, E-DLMO=8:08±2:14, ES=-0.02, p=.968) were similar between the groups, although sleep was more efficient in M-DLMO vs. E-DLMO (84%±3% vs. 76%±10%, ES=0.94, p=.096). On average, baseline measured DLMO occurred 123±83 mins earlier than estimated DLMO (p=.001). Conclusion We are continuing to enroll participants in this trial. Preliminary results suggest some potential benefit of measuring the DLMO, but results will need to be clarified in a larger sample. Support American Sleep Medicine Foundation Strategic Research Award

Sign in / Sign up

Export Citation Format

Share Document