ReviewSensors (Basel, Switzerland)2020
Characterizing Behavioral Activity Rhythms in Older Adults Using Actigraphy.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Characteristics of macroscopic sleep structure in patients with mild cognitive impairment: a systematic review.Frontiers in psychiatry · 2023Pooled it
- Longitudinal digital phenotyping of activity rhythms and biological aging using commercial wearables.Nature communications · 2026Article
- Definition and Test-Retest Reliability of a Monitoring Method Integrating Accelerometric Actigraphy and Bluetooth Indoor Location Tracking Applied in a Long-Term Residential Unit for Persons With Dementia: Longitudinal Observational Study.JMIR mHealth and uHealth · 2026Observational
- Dose-Response Relationship Between Sleep Regularity Index and Stage-Specific Alzheimer's Disease: Cross-Sectional Evidence from Japanese Adults.Geriatrics (Basel, Switzerland) · 2026Article
- Work is associated with a more robust rest-activity rhythm and high-intensity physical activity among older adults.Aging clinical and experimental research · 2025Article
- Article
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- Couple synchrony in physical activity: effects on individuals with knee osteoarthritis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Assessing sleep in primary brain tumor patients using smart wearables and patient-reported data: Feasibility and interim analysis of an observational study.Neuro-oncology practice · 2024Article
- The lifestyle of new middle-aged and older adults in Taiwan described by wearable device: age and gender differences.European journal of ageing · 2024Article
- Unleashing the full potential of digital outcome measures in clinical trials: eight questions that need attention.BMC medicine · 2024Review
- Sleeping behaviors are determined by lockdown and not work-from-home arrangements.Scientific reports · 2024Article
- The role of actigraphy in detecting and characterizing the early phases of Alzheimer's disease.Sleep · 2024Article
- Inactivity May Identify Older Intensive Care Unit Survivors at Risk for Post-Intensive Care Syndrome.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2024Article
- Cardiorespiratory fitness and circadian rhythms in adolescents: a pilot study.Journal of applied physiology (Bethesda, Md. : 1985) · 2024Article
- The middle-aged and older Chinese adults' health using actigraphy in Taiwan (MOCHA-T): protocol for a multidimensional dataset of health and lifestyle.BMC public health · 2024Article
- Relationship between rest-activity rhythms and cardiorespiratory fitness in middle-aged workers: a cross-sectional study with non-parametric analysis using accelerometers worn on the thigh.BMC public health · 2024Article
- The circadian activity rhythms for elderly inpatients with stroke or motor diseases in a rehabilitation facility and its relationship to physical activity level.Sleep and biological rhythms · 2024Article
- Effect of Personalized Blue-Enriched White Light Intervention on Rest-Activity and Light Exposure Rhythms in Mild and Moderate Alzheimer's Disease.Psychiatry investigation · 2023Article
- Remote evaluation of sleep to enhance understanding of early dementia due to Alzheimer's Disease (RESTED-AD): an observational cohort study protocol.BMC geriatrics · 2023Article
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 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wrist actigraphy has been used to assess sleep in older adult populations for nearly half a century. Over the years, the continuous raw activity data derived from actigraphy has been used for the characterization of factors beyond sleep/wake such as physical activity patterns and circadian rhythms. Behavioral activity rhythms (BAR) are useful to describe individual daily behavioral patterns beyond sleep and wake, which represent important and meaningful clinical outcomes. This paper reviews common rhythmometric approaches and summarizes the available data from the use of these different approaches in older adult populations. We further consider a new approach developed in our laboratory designed to provide graphical characterization of BAR for the observed behavioral phenomenon of activity patterns across time. We illustrate the application of this new approach using actigraphy data collected from a well-characterized sample of older adults (age 60+) with osteoarthritis (OA) pain and insomnia. Generalized additive models (GAM) were implemented to fit smoothed nonlinear curves to log-transformed aggregated actigraphy-derived activity measurements. This approach demonstrated an overall strong model fit (R
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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.