ReviewJournal of clinical medicine2021
The Dilemma of Analyzing Physical Activity and Sedentary Behavior with Wrist Accelerometer Data: Challenges and Opportunities.
Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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.
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.
- Exploring the associations between physical activity, sleep, sedentary behaviour, and mental health in young German children.Journal of activity, sedentary and sleep behaviors · 2026Article
- Wearable-Derived Axis-Specific Motor Signatures of ADHD Symptoms in Children and Adolescents.Biosensors · 2026Article
- Data from the UK Biobank demonstrates that increased brief, sporadic moderate-to-vigorous physical activity reduces mortality.Communications medicine · 2026Article
- Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review.Physiological measurement · 2026Article
- Diet, Physical Activity, and Sleep Assessment: A Portfolio Scoping Review of Measures in NIH-Funded Epidemiologic Studies.AJPM focus · 2026Review
- Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review.Interactive journal of medical research · 2026Review
- Validating the Longitudinal Assessment of Sedentary Behavior in a Randomized Controlled Trial via a Deep Learning Algorithm.Journal for the measurement of physical behaviour · 2026Article
- Effectiveness of combined exercise intervention on sedentary behaviour patterns, body composition, and cardiometabolic health among middle-aged adults.BMC sports science, medicine & rehabilitation · 2025Article
- Activity levels during lifestyle physical activity and exercise physical activity: An observational study.The British journal of occupational therapy · 2025Article
- Device-independent Physical Activity metrics and adiposity-related indicators among children and adolescents in the United States.Journal of sports sciences · 2025Article
- Adherence to 24-h movement guidelines among rural and regional children in Australia: an observational study.European journal of pediatrics · 2025Observational
- Article
- Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.Translational psychiatry · 2025Article
- Validation of an Open-Source Smartwatch for Continuous Monitoring of Physical Activity and Heart Rate in Adults.Sensors (Basel, Switzerland) · 2025Article
- Using Free-Living Heart Rate Data as an Objective Method to Assess Physical Activity: A Scoping Review and Recommendations by the INTERLIVE-Network Targeting Consumer Wearables.Sports medicine (Auckland, N.Z.) · 2025Article
- Behaviour-based movement cut-off points in 3-year old children comparing wrist- with hip-worn actigraphs MW8 and GT3X.PloS one · 2025Article
- Conceptual and Evidence Update on Incidental Physical Activity: A Scoping Review of Experimental and Observational Studies.Scandinavian journal of medicine & science in sports · 2025Article
- Comparability of accelerometry outcomes across popular metrics and widespread sensor positions.PloS one · 2025Article
- Misalignment Between Circadian Preference and Accelerometer-Derived Sleep-Wake Cycle With Increased Risk of Cardiometabolic Diseases.JACC. Advances · 2024Article
- Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model.BMC medical research methodology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical behaviors (e.g., physical activity and sedentary behavior) have been the focus among many researchers in the biomedical and behavioral science fields. The recent shift from hip- to wrist-worn accelerometers in these fields has signaled the need to develop novel approaches to process raw acceleration data of physical activity and sedentary behavior. However, there is currently no consensus regarding the best practices for analyzing wrist-worn accelerometer data to accurately predict individuals' energy expenditure and the times spent in different intensities of free-living physical activity and sedentary behavior. To this end, accurately analyzing and interpreting wrist-worn accelerometer data has become a major challenge facing many clinicians and researchers. In response, this paper attempts to review different methodologies for analyzing wrist-worn accelerometer data and offer cutting edge, yet appropriate analysis plans for wrist-worn accelerometer data in the assessment of physical behavior. In this paper, we first discuss the fundamentals of wrist-worn accelerometer data, followed by various methods of processing these data (e.g., cut points, steps per minute, machine learning), and then we discuss the opportunities, challenges, and directions for future studies in this area of inquiry. This is the most comprehensive review paper to date regarding the analysis and interpretation of free-living physical activity data derived from wrist-worn accelerometers, aiming to help establish a blueprint for processing wrist-derived accelerometer data.
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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.