ArticlePloS one2018
Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Seasonal variations in the polysomnographic sleep/wake cycle and activity/rest pattern in the dromedary camel (Camelus dromedarius).Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2026Article
- Bifurcations and Hyperchaos in Mathematical Models of Sleep.Bioengineering (Basel, Switzerland) · 2026Review
- Age-related differences in circadian timing system and sleep quality in young and older lifelong endurance runners.Scientific reports · 2026Article
- Deciphering Insomnia: Benchmarking Automated Sleep Staging Algorithms for Complex Sleep Disorders.Journal of sleep research · 2025Article
- Gender differences in the relationship between sleep and age in a Brazilian cohort: the Baependi Heart Study.Journal of sleep research · 2025Article
- Novel digital markers of sleep dynamics: causal inference approach revealing age and gender phenotypes in obstructive sleep apnea.Scientific reports · 2025Article
- Optimizing Sleep Disorder Management in Hospitalized Patients: Practical Approach for Healthcare Providers.Brain and behavior · 2025Review
- Variability and predictability in human sleep.Brain communications · 2025Article
- Sleep Differences in Firefighters: Barracks vs. Home.International journal of environmental research and public health · 2024Article
- Sleep, Glial Function, and the Endocannabinoid System: Implications for Neuroinflammation and Sleep Disorders.International journal of molecular sciences · 2024Review
- Effects of smoking on sleep architecture and ventilatory parameters including apneas: Results of the Tab-OSA study.Sleep medicine: X · 2023Article
- Investigating the Role of BDNF in Insomnia: Current Insights.Nature and science of sleep · 2023Review
- Sex differences in predictors and regional patterns of brain age gap estimates.Human brain mapping · 2022Article
- [Arousal characteristics in different OSAHS populations].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022Article
- Nighttime Sleep Characteristics and White Matter Integrity in Young Adults.Nature and science of sleep · 2022Article
- Gender differences of clinical and polysomnographic findings with obstructive sleep apnea syndrome.Scientific reports · 2021Article
- Nocturnal Brain Activity Differs with Age and Sex: Comparisons of Sleep EEG Power Spectra Between Young and Elderly Men, and Between 60-80-Year-Old Men and Women.Nature and science of sleep · 2021Article
- A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers.Frontiers in digital health · 2021Article
- Increased prevalence of obstructive sleep apnea in women diagnosed with endometrial or breast cancer.PloS one · 2021Article
- Sleep quality prediction in caregivers using physiological signals.Computers in biology and medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics. Here we quantify the impact of individual differences on the dynamics of sleep architecture and determine which factors or set of factors best predict the next sleep stage from current stage information. We investigated the influence of age, sex, body mass index, time of day, and sleep time on static (e.g. minutes in stage, sleep efficiency) and dynamic measures of sleep architecture (e.g. transition probabilities and stage duration distributions) using a large dataset of 3202 nights from a non-clinical population. Multi-level regressions show that sex effects duration of all Non-Rapid Eye Movement (NREM) stages, and age has a curvilinear relationship for Wake After Sleep Onset (WASO) and slow wave sleep (SWS) minutes. Bayesian network modeling reveals sleep architecture depends on time of day, total sleep time, age and sex, but not BMI. Older adults, and particularly males, have shorter bouts (more fragmentation) of Stage 2, SWS, and they transition less frequently to these stages. Additionally, we showed that the next sleep stage and its duration can be optimally predicted by the prior 2 stages and age. Our results demonstrate the potential benefit of big data and Bayesian network approaches in quantifying static and dynamic architecture of normal sleep.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.