ArticleStatistics in biosciences2019
Accelerometry data in health research: challenges and opportunities.
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 63 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
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Objectively measured physical activity following lumbar decompression surgery: systematic review and meta-analysis.Scientific reports · 2026Pooled it
- Physical activity in early childhood: a five-year longitudinal analysis of patterns and correlates.The international journal of behavioral nutrition and physical activity · 2022Trial
- Not all screen time is sedentary: evidence from aligned smartphone sensing and accelerometry data in adults.Journal of activity, sedentary and sleep behaviors · 2026Article
- Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement data.Journal of affective disorders reports · 2026Article
- Perioperative quantification of MDS-UPDRS-III tremor measurements in patients with Parkinson's disease using accelerometry.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Wearable-Derived Axis-Specific Motor Signatures of ADHD Symptoms in Children and Adolescents.Biosensors · 2026Article
- Association of Changes in Activity Patterns With Brain Atrophy and Disability Progression in People With Multiple Sclerosis.Neurology · 2026Article
- Sharing digital health data responsibly: Balancing open science with participant privacy.PLOS digital health · 2026Article
- Diet, Physical Activity, and Sleep Assessment: A Portfolio Scoping Review of Measures in NIH-Funded Epidemiologic Studies.AJPM focus · 2026Review
- Objective measures of physical activity and physical capacities in lipedema - a scooping review.BMC women's health · 2026Article
- Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025Review
- Short-term changes in objectively measured activity predict brain atrophy and disability progression in multiple sclerosis.medRxiv : the preprint server for health sciences · 2025Article
- Comparing Step-Counting Algorithms for High-Resolution Wrist Accelerometry Data in Older Adults in the ARIC Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- High Amount of Physical Activity on Work Days Is Associated with More Intense Musculoskeletal Symptoms in Nurses: Seven-Day Observational Study.Nursing reports (Pavia, Italy) · 2025Article
- Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study.JMIR research protocols · 2025Article
- Learning causal effect of physical activity distribution: an application of functional treatment effect estimation with unmeasured confounding.Journal of applied statistics · 2025Article
- Validity and Reliability of the 'Feelfit®' Accelerometer in Evaluating Physical Activity and Sedentary Time in Children: A Comparative Study with Two Different Accelerometers.International journal of exercise science · 2025Article
- Free-living monitoring of ALS progression in upper limbs using wearable accelerometers.Journal of neuroengineering and rehabilitation · 2024Observational
- Walking fingerprinting.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- Validation of the SQUASH physical activity questionnaire using accelerometry: The NEO study.Osteoarthritis and cartilage open · 2024Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Wearable accelerometers provide detailed, objective, and continuous measurements of physical activity (PA). Recent advances in technology and the decreasing cost of wearable devices led to an explosion in the popularity of wearable technology in health research. An ever-increasing number of studies collect high-throughput, sub-second level raw acceleration data. In this paper, we discuss problems related to the collection and analysis of raw accelerometry data and refer to published solutions. In particular, we describe the size and complexity of the data, the within- and between-subject variability, and the effects of sensor location on the body. We also discuss challenges related to sampling frequency, device calibration, data labeling and multiple PA monitors synchronization. We illustrate these points using the Developmental Epidemiological Cohort Study (DECOS), which collected raw accelerometry data on individuals both in a controlled and the free-living environment.
Indexed as
Identifiers
What Socratic holds
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.