ArticleScientific reports2023
A standardized workflow for long-term longitudinal actigraphy data processing using one year of continuous actigraphy from the CAN-BIND Wellness Monitoring Study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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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.
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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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- AI-Driven Mental Health Support for Caregivers of Individuals With Alzheimer Disease: Systematic Literature Review and Development of a Conceptual Framework.JMIR mental health · 2026Pooled it
- Adherence to Actigraphic Devices in Elementary School-Aged Children: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Sleep fragmentation and heightened inflammation: A latent profile subtype predicting nine-year major depressive disorder severity in the MIDUS study.Brain, behavior, & immunity - health · 2026Article
- Childhood paternal abuse and low paternal affection predict adult panic symptoms 18 years later via actigraphy-indexed sleep disruptions.Psychological medicine · 2026Article
- Circadian Regulation and Pain: A Systematic Review of the Association Between Rest-Activity Rhythm and Pain-Related Outcomes.Clocks & sleep · 2026Review
- Seasonal surge for mental health demand in the emergency department of Eradah complex for mental health in the Eastern Province of Saudi Arabia: a retrospective study.The Journal of the Egyptian Public Health Association · 2026Article
- Performance of an automated sleep scoring approach for actigraphy data in children and adolescents.Sleep · 2026Article
- Study protocol for a multi-session randomized sham-controlled trial of PCC- and amygdala-targeted neurofeedback for the treatment of PTSD.BMC psychiatry · 2025Article
- Sensor based sleep patterns and reported sleep quality in breast cancer patients undergoing neoadjuvant chemotherapy.Scientific reports · 2025Article
- Circadian and sleep-wake rhythm alterations in isolated REM sleep behavior disorder: biomarkers of prodromal α-synucleinopathy.Frontiers in neuroscience · 2025Review
- Sleep and circadian disruption in bipolar disorders: From psychopathology to digital phenotyping in clinical practice.Psychiatry and clinical neurosciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 12 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring sleep and activity through wearable devices such as wrist-worn actigraphs has the potential for long-term measurement in the individual's own environment. Long periods of data collection require a complex approach, including standardized pre-processing and data trimming, and robust algorithms to address non-wear and missing data. In this study, we used a data-driven approach to quality control, pre-processing and analysis of longitudinal actigraphy data collected over the course of 1 year in a sample of 95 participants. We implemented a data processing pipeline using open-source packages for longitudinal data thereby providing a framework for treating missing data patterns, non-wear scoring, sleep/wake scoring, and conducted a sensitivity analysis to demonstrate the impact of non-wear and missing data on the relationship between sleep variables and depressive symptoms. Compliance with actigraph wear decreased over time, with missing data proportion increasing from a mean of 4.8% in the first week to 23.6% at the end of the 12 months of data collection. Sensitivity analyses demonstrated the importance of defining a pre-processing threshold, as it substantially impacts the predictive value of variables on sleep-related outcomes. We developed a novel non-wear algorithm which outperformed several other algorithms and a capacitive wear sensor in quality control. These findings provide essential insight informing study design in digital health research.
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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 Socratic graph.