ArticleBiological psychiatry global open science2023
Sleep Health at the Genomic Level: Six Distinct Factors and Their Relationships With Psychopathology.
Article in Biological psychiatry global open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TSC) in Community Mental Health: Evaluating Self-Reported Psychiatric Disorders as a Predictor of Symptoms and Treatment Outcome.Community mental health journal · 2026Article
- Genetic Signal Augmentation of Childhood-Onset and Treatment-Resistant Major Depression Reveals Distinct Biological Disorders.medRxiv : the preprint server for health sciences · 2026Article
- Educational intervention on sleep hygiene habits and sleep quality of postgraduate students.Revista latino-americana de enfermagem · 2026Article
- Patterns of shared genetic risk between chronic pain, psychopathologies, and neuroticism.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture.Translational psychiatry · 2024Article
- Executive Function and Impulsivity Predict Distinct Genetic Variance in Internalizing Problems, Externalizing Problems, Thought Disorders, and Compulsive Disorders: A Genomic Structural Equation Modeling Study.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine.Journal of personalized medicine · 2024Review
- Multivariate genome-wide association study of sleep health demonstrates unity and diversity.Sleep · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Poor sleep is associated with many negative health outcomes, including multiple dimensions of psychopathology. In the past decade, sleep researchers have advocated for focusing on the concept of sleep health as a modifiable health behavior to mitigate or prevent these outcomes. Sleep health dimensions often include sleep efficiency, duration, satisfaction, regularity, timing, and daytime alertness. However, there is no consensus on how to best operationalize sleep health at the phenotypic and genetic levels. In some studies, specific sleep health domains were examined individually, while in others, sleep health domains were examined together (e.g., with an aggregate sleep health score). Methods: Here, we compared alternative sleep health factor models using genomic structural equation modeling on summary statistics from previously published genome-wide association studies of self-reported and actigraphic sleep measures with effective sample sizes up to 452,633. Results: Our best-fitting sleep health model had 6 correlated genetic factors pertaining to 6 sleep health domains: circadian preference, efficiency, alertness, duration, noninsomnia, and regularity. All sleep health factors were significantly correlated (| Conclusions: These results provide evidence for genetic separability of sleep health constructs and their differentiation with respect to associations with mental health.
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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.