ArticleStatistics in biosciences2019
Joint and Individual Representation of Domains of Physical Activity, Sleep, and Circadian Rhythmicity.
Article in Statistics in biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward a Digital Future in Bipolar Disorder Assessment: A Systematic Review of Disruptions in the Rest-Activity Cycle as Measured by Actigraphy.Frontiers in psychiatry · 2022Pooled it
- Longitudinal digital phenotyping of activity rhythms and biological aging using commercial wearables.Nature communications · 2026Article
- Biphasic sleep is a feature of sleep disturbance in SYNGAP1-RD.Sleep medicine · 2026Article
- Circadian Regulation and Pain: A Systematic Review of the Association Between Rest-Activity Rhythm and Pain-Related Outcomes.Clocks & sleep · 2026Review
- Circadian rest/activity rhythms and change in MRI-derived brain volumes: Differences by age in a cognitively healthy sample.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Using objective measures of physical activity, sleep, and breathing for disease profiling of patients with systemic lupus erythematosus and Sjögren's disease.Frontiers in digital health · 2026Article
- Circadian rhythm profiles derived from accelerometer measures of the sleep-wake cycle in two cohort studies.Nature communications · 2025Article
- Insights on Clinical Development of Cell and Gene Therapy for Rare Diseases-by DahShu Innovative Design Scientific Working Group (IDSWG).Therapeutic innovation & regulatory science · 2025Review
- Using Mobile Assessments to Characterize Mental and Physical Health Behaviors in Youth: Protocol for a Pilot Intensive Longitudinal Study.JMIR research protocols · 2025Article
- Health risks and genetic architecture of objectively measured multidimensional sleep health.Nature communications · 2025Article
- Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study.JMIR formative research · 2025Article
- Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study.JMIR mHealth and uHealth · 2025Article
- Article
- Circadian rhythms are associated with higher amyloid-β and tau and poorer cognition in older adults.Brain communications · 2025Article
- Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Review
- Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data.BMC medical research methodology · 2024Article
- Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan.NPJ digital medicine · 2024Article
- Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data.Research square · 2023Article
- Can Gait Characteristics Be Represented by Physical Activity Measured with Wrist-Worn Accelerometers?Sensors (Basel, Switzerland) · 2023Article
- Decentralized clinical trials and rare diseases: a Drug Information Association Innovative Design Scientific Working Group (DIA-IDSWG) perspective.Orphanet journal of rare diseases · 2023Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Developments in wearable technology have enabled researchers to continuously and objectively monitor various aspects and physiological domains of real-life including levels of physical activity, quality of sleep, and strength of circadian rhythm in many epidemiological and clinical studies. Current analytical practice is to summarize each of these three domains individually via a standard inventory of interpretable features, and explore individual associations between the features and clinical variables. However, the features often exhibit significant interaction and correlation both within and between domains. Integration of features across multiple domains remains methodologically challenging. To address this problem, we propose to use joint and individual variation explained (JIVE), a dimension reduction technique that efficiently deals with multivariate data representing multiple domains. In this paper, we review the most frequently used features to characterize the domains of physical activity, sleep, and circadian rhythniicity and illustrate the approach using wrist-worn actigraphy data from 198 participants of the Baltimore Longitudinal Study of Aging.
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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.