ArticleScientific reports2019
Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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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.
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Who cites it
27 citing papers in PubMed.
- Trial
- Article
- Who Needs Bright Light and When? Mapping the Interactions of Lighting Environments and Individual Differences in Circadian Light Sensitivity.Journal of biological rhythms · 2026Article
- Circadian Phase Estimation From Ambulatory Wearables With Particle Filtering: Accuracy Depends on Initialization, Recording Duration, and Light Exposure.Journal of biological rhythms · 2026Article
- Article
- Pilot feasibility testing of biomathematical model recommendations for personalising sleep timing in shift workers.Journal of sleep research · 2025Article
- Understanding sleep health challenges of defence shift workers to design a digital, sleep and circadian management tool.Scientific reports · 2025Article
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- SleepSync: Early Testing of a Personalised Sleep-Wake Management Smartphone Application for Improving Sleep and Cognitive Fitness in Defence Shift Workers.Clocks & sleep · 2024Article
- Association of Rest-Activity Rhythm and Risk of Developing Dementia or Mild Cognitive Impairment in the Middle-Aged and Older Population: Prospective Cohort Study.JMIR public health and surveillance · 2024Article
- Longitudinal associations of diurnal rest-activity rhythms with fatigue, insomnia, and health-related quality of life in survivors of colorectal cancer up to 5 years post-treatment.The international journal of behavioral nutrition and physical activity · 2024Article
- Mathematical Analysis of Light-sensitivity Related Challenges in Assessment of the Intrinsic Period of the Human Circadian Pacemaker.Journal of biological rhythms · 2024Article
- Nurse rostering with fatigue modelling : Incorporating a validated sleep model with biological variations in nurse rostering.Health care management science · 2023Article
- Cryptochrome 1 as a state variable of the circadian clockwork of the suprachiasmatic nucleus: Evidence from translational switching.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The circadian stimulus-oscillator model: Improvements to Kronauer's model of the human circadian pacemaker.Frontiers in neuroscience · 2022Article
- Article
- Predicting circadian phase across populations: a comparison of mathematical models and wearable devices.Sleep · 2021Article
- A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.Journal of pineal research · 2021Article
- Article
- Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers.Frontiers in digital health · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Practical alternatives to gold-standard measures of circadian timing in shift workers are needed. We assessed the feasibility of applying a limit-cycle oscillator model of the human circadian pacemaker to estimate circadian phase in 25 nursing and medical staff in a field setting during a transition from day/evening shifts (diurnal schedule) to 3-5 consecutive night shifts (night schedule). Ambulatory measurements of light and activity recorded with wrist actigraphs were used as inputs into the model. Model estimations were compared to urinary 6-sulphatoxymelatonin (aMT6s) acrophase measured on the diurnal schedule and last consecutive night shift. The model predicted aMT6s acrophase with an absolute mean error of 0.69 h on the diurnal schedule (SD = 0.94 h, 80% within ±1 hour), and 0.95 h on the night schedule (SD = 1.24 h, 68% within ±1 hour). The aMT6s phase shift from diurnal to night schedule was predicted to within ±1 hour in 56% of individuals. Our findings indicate the model can be generalized to a shift work setting, although prediction of inter-individual variability in circadian phase shift during night shifts was limited. This study provides the basis for further adaptation and validation of models for predicting circadian phase in rotating shift workers.
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