Assessment of sleep/wake patterns using a non-contact biomotion sensor

2008 ◽  
Author(s):  
Philip de Chazal ◽  
Emer O'Hare ◽  
Niall Fox ◽  
Conor Heneghan
Keyword(s):  
Wake Patterns

scholarly journals Measuring sleep regularity: Theoretical properties and practical usage of existing metrics

SLEEP ◽  
2021 ◽  
Author(s):  
Dorothee Fischer ◽  
Elizabeth B Klerman ◽  
Andrew J K Phillips
Keyword(s):  
Large Scale ◽  
Research Question ◽  
Group Differences ◽  
Regularity Index ◽  
Wake Patterns ◽  
Health Related ◽  
Phase Deviation ◽  
Unbiased Estimates ◽  
Large Scale Simulations ◽  
Larger Sample

Abstract Study Objectives Sleep regularity predicts many health-related outcomes. Currently, however, there is no systematic approach to measuring sleep regularity. Traditionally, metrics have assessed deviations in sleep patterns from an individual’s average. Traditional metrics include intra-individual standard deviation (StDev), Interdaily Stability (IS), and Social Jet Lag (SJL). Two metrics were recently proposed that instead measure variability between consecutive days: Composite Phase Deviation (CPD) and Sleep Regularity Index (SRI). Using large-scale simulations, we investigated the theoretical properties of these five metrics. Methods Multiple sleep-wake patterns were systematically simulated, including variability in daily sleep timing and/or duration. Average estimates and 95% confidence intervals were calculated for six scenarios that affect measurement of sleep regularity: ‘scrambling’ the order of days; daily vs. weekly variation; naps; awakenings; ‘all-nighters’; and length of study. Results SJL measured weekly but not daily changes. Scrambling did not affect StDev or IS, but did affect CPD and SRI; these metrics, therefore, measure sleep regularity on multi-day and day-to-day timescales, respectively. StDev and CPD did not capture sleep fragmentation. IS and SRI behaved similarly in response to naps and awakenings but differed markedly for all-nighters. StDev and IS required over a week of sleep-wake data for unbiased estimates, whereas CPD and SRI required larger sample sizes to detect group differences. Conclusions Deciding which sleep regularity metric is most appropriate for a given study depends on a combination of the type of data gathered, the study length and sample size, and which aspects of sleep regularity are most pertinent to the research question.

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.

Sleep-Wake Patterns in Children With Intrauterine Growth Retardation

2002 ◽  
Vol 17 (12) ◽  
pp. 872-876 ◽  
Author(s):  
Yael Leitner ◽  
Aviva Mimouni Bloch ◽  
Avi Sadeh ◽  
Orit Neuderfer ◽  
Liat Tikotzky ◽  
...  
Keyword(s):  
Growth Retardation ◽  
Intrauterine Growth Retardation ◽  
Intrauterine Growth ◽  
Wake Patterns

scholarly journals A Comparison of the Sleep?Wake Patterns of Cosleeping and Solitary-Sleeping Infants

2004 ◽  
Vol 35 (2) ◽  
pp. 95-105 ◽  
Author(s):  
Amy Mao ◽  
Melissa M. Burnham ◽  
Beth L. Goodlin-Jones ◽  
Erika E. Gaylor ◽  
Thomas F. Anders
Keyword(s):  
Wake Patterns

Longitudinal association of actigraphy-assessed sleep with physical growth in the first 6 months of life

SLEEP ◽  
2021 ◽  
Author(s):  
Xiaoyu Li ◽  
Sebastien Haneuse ◽  
Michael Rueschman ◽  
Emily R Kaplan ◽  
Xinting Yu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Specific Weight ◽  
Estimating Equation ◽  
Physical Growth ◽  
Term Infants ◽  
Rapid Changes ◽  
Wake Patterns ◽  
Longitudinal Association ◽  
Nighttime Sleep

Abstract Study Objectives Suboptimal sleep is associated with obesity and its sequelae in children and adults. However, few studies have examined the association between sleep and physical growth in infants who experience rapid changes in sleep/wake patterns. We examined the longitudinal association of changes in objectively assessed sleep/wake patterns with changes in growth between ages 1 and 6 months. Methods We studied 298 full-term infants in the longitudinal Rise & SHINE cohort study. Changes from 1 and 6 months in nighttime sleep duration, wake after sleep onset (WASO), and number of waking bouts ≥5 min were assessed using ankle actigraphy. Overweight was defined as age- and sex-specific weight for length ≥95th percentile. Generalized estimating equation analyses adjusted for infants′ and mothers′ characteristics. Results The mean (SD) birth weight was 3.4 (0.4) kg; 48.7% were boys. In multivariable adjusted models, each 1-h increase in nighttime sleep duration between months 1 and 6 was associated with a 26% decrease in the odds of overweight from 1 to 6 months (odds ratio [OR] = 0.74; 95% confidence interval [CI, 0.56, 0.98]). Each 1-unit decrease in number of waking bouts was associated with a 16% decrease in the odds of overweight (OR = 0.84; 95% CI [0.72, 0.98]). Changes in WASO were not associated with the odds of overweight. Conclusions Greater increases in nighttime sleep duration and more consolidation of nighttime sleep were associated with lower odds of overweight from 1 to 6 months. Adverse sleep patterns as early as infancy may contribute to excess adiposity.

scholarly journals 0689 DISCREPANCIES IN WEEKDAY-WEEKEND SLEEP-WAKE PATTERNS AND SELF-REGULATION

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A255-A255 ◽  
Author(s):  
W Sun ◽  
J Ling ◽  
T Lee ◽  
S Li
Keyword(s):  
Self Regulation ◽  
Wake Patterns

Instability and transition of a vertical ascension or fall of a free sphere affected by a vertical magnetic field

2018 ◽  
Vol 859 ◽  
pp. 33-48 ◽  
Author(s):  
Jun-Hua Pan ◽  
Nian-Mei Zhang ◽  
Ming-Jiu Ni
Keyword(s):  
Magnetic Field ◽  
Interaction Parameter ◽  
Scaling Law ◽  
Density Ratio ◽  
Vertical Magnetic Field ◽  
Streamwise Vorticity ◽  
Close Relationship ◽  
Wake Patterns ◽  
The Magnetic Field ◽  
Solid System

When the Galileo number is below the first bifurcation, the instability and transition of a vertical ascension or the fall of a free sphere affected by a vertical magnetic field are investigated numerically. A compact model is used to explain that the magnetic field can destabilize the fluid–solid system. When the interaction parameter exceeds a critical value, the sphere trajectory is transitioned from a steady vertical trajectory to a steady oblique one. Furthermore, the trajectory will remain vertical at a sufficiently large magnetic field because of a double effect of the magnetic field on the fluid–solid system. Under the influence of an external vertical magnetic field, four wake patterns at the rear of the sphere are found and the physical behaviour of the free sphere is independent of the density ratio. The wake or trajectory of the free sphere is only determined by the Galileo number $G$ and the interaction parameter $N$. A close relationship between the streamwise vorticity and the sphere motion is found. An interesting ‘agglomeration phenomenon’ is also found, which shows that the vertical velocities are agglomerated into a point for a certain magnetic field regardless of the Galileo number and satisfy a scaling law $V_{z}\sim N^{-1/4}$, when $N>1$. The principal results of the present work are summarized in a map of regimes in the $\{G,N\}$ plane.

Sign in / Sign up

Export Citation Format

Share Document