ArticleProceedings of the National Academy of Sciences of the United States of America2022
The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Insomnia nosology: a systematic review and critical appraisal of historical diagnostic categories and current phenotypes.Journal of sleep research · 2023Pooled it
- Just-in-Time Adaptive Intervention for Stabilizing Sleep Hours of Japanese Workers: Microrandomized Trial.Journal of medical Internet research · 2024Trial
- Sleep health epidemiology in adults with and without HIV in Mwanza, Tanzania: Baseline results from an ongoing cohort study.Sleep epidemiology · 2026Article
- Insomnia With Objective Short Sleep Duration Is Associated With Incident Cardiovascular and Cerebrovascular Disease: Evidence from the UK Biobank Data.Journal of the American Heart Association · 2026Article
- Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis.Communications medicine · 2026Article
- Mechanisms Linking Insomnia and Cardiometabolic Disease Risk.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Article
- Study Protocol for the Japan Pregnancy, Eating, Activity, Cohort (J-PEACH) Study: Investigating Perinatal Maternal Lifestyle and Infant Health.Methods and protocols · 2025Article
- Identification of five sleep-biopsychosocial profiles with specific neural signatures linking sleep variability with health, cognition, and lifestyle factors.PLoS biology · 2025Article
- Preventive circadian medicine: improving health with sleep checkups.Npj biological timing and sleep · 2025Review
- Insomnia Phenotypes, Cardiovascular Risk and Their Link to Brain Health.Circulation research · 2025Review
- Variability and predictability in human sleep.Brain communications · 2025Article
- Deep phenotyping of insomnia: a multimodal assessment protocol.Frontiers in psychiatry · 2025Article
- Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features.NPJ digital medicine · 2024Article
- Assessment of sleep patterns in dementia and general population cohorts using passive in-home monitoring technologies.Communications medicine · 2024Article
- Five million nights: temporal dynamics in human sleep phenotypes.NPJ digital medicine · 2024Article
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.NPJ digital medicine · 2024Article
- A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures.Research square · 2024Article
- The sleep-circadian interface: A window into mental disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024Review
- Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs.The American psychologist · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
SignificanceHuman sleep phenotypes are diversified by genetic and environmental factors, and a quantitative classification of sleep phenotypes would lead to the advancement of biomedical mechanisms underlying human sleep diversity. To achieve that, a pipeline of data analysis, including a state-of-the-art sleep/wake classification algorithm, the uniform manifold approximation and projection (UMAP) dimension reduction method, and the density-based spatial clustering of applications with noise (DBSCAN) clustering method, was applied to the 100,000-arm acceleration dataset. This revealed 16 clusters, including seven different insomnia-like phenotypes. This kind of quantitative pipeline of sleep analysis is expected to promote data-based diagnosis of sleep disorders and psychiatric disorders that tend to be complicated by sleep disorders.
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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.