ArticleNeurobiology of sleep and circadian rhythms2025
Sleep and circadian disorders as risk factors for autoimmune disease: A population-based study.
Article in Neurobiology of sleep and circadian rhythms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background: Sleep and circadian disruption have been increasingly linked to immune dysregulation, yet population-level associations with autoimmune disease remain underexplored. We examined whether delayed sleep phase disorder (DSPD), obstructive sleep apnea (OSA), primary insomnia, and hypersomnia were associated with autoimmune conditions in a large, diverse U.S. cohort. Methods: Data were drawn from the All of Us Research Program Registered Tier Dataset v8. Participants were categorized into sleep disorder groups based on clinical diagnoses, with regular sleepers serving as controls. Autoimmune disease was defined using SNOMED-coded records. DSPD and primary insomnia were analyzed using rare disease logistic regression; OSA and hypersomnia were analyzed using 1:5 propensity score matching. Adjusted logistic regression models included age, sex at birth, race, ethnicity, income, BMI, and chronic inflammatory diagnosis. E-values assessed robustness to unmeasured confounding. Results: All four sleep disorder groups showed significantly higher odds of autoimmune diagnosis relative to regular sleepers (p < 2.2 × 10 Conclusions: Distinct sleep phenotypes were associated with autoimmune conditions. These associations may reflect shared or bidirectional links between sleep disruption and immune dysregulation.
Indexed as
Identifiers
What Socratic 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 Socratic graph.