Trial reportPhysiological measurement2012
Biomechanical examination of the 'plateau phenomenon' in ActiGraph vertical activity counts.
Trial report in Physiological measurement, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.Sports medicine (Auckland, N.Z.) · 2017Pooled it
- Physical Activity and Sedentary Behavior Differ by Sex during the First 6 Months after Anterior Cruciate Ligament Reconstruction.Medicine and science in sports and exercise · 2025Observational
- Development and Calibration of a PATCH Device for Monitoring Children's Heart Rate and Acceleration.Medicine and science in sports and exercise · 2024Article
- Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table.PloS one · 2024Article
- Agreement between questions about physical activity and sitting time, and device-based measures, used in Swedish targeted health dialogues in the context of primary health care.BMC sports science, medicine & rehabilitation · 2023Article
- The interrelationship between physical activity intensity, cardiorespiratory fitness, and executive function in middle-aged adults: An observational study of office workers.Frontiers in public health · 2022Observational
- High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort.The international journal of behavioral nutrition and physical activity · 2021Article
- Modifying Accelerometer Cut-Points Affects Criterion Validity in Simulated Free-Living for Adolescents and Adults.Research quarterly for exercise and sport · 2020Article
- Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment.BMC geriatrics · 2020Article
- Stronger Association between High Intensity Physical Activity and Cardiometabolic Health with Improved Assessment of the Full Intensity Range Using Accelerometry.Sensors (Basel, Switzerland) · 2020Article
- An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.Journal for the measurement of physical behaviour · 2019Article
- Effects of Frequency Filtering on Intensity and Noise in Accelerometer-Based Physical Activity Measurements.Sensors (Basel, Switzerland) · 2019Article
- A Biomechanical Re-Examination of Physical Activity Measurement with Accelerometers.Sensors (Basel, Switzerland) · 2018Article
- The multivariate physical activity signature associated with metabolic health in children.The international journal of behavioral nutrition and physical activity · 2018Article
- Physical activity and sedentary behavior during pregnancy and postpartum, measured using hip and wrist-worn accelerometers.Preventive medicine reports · 2018Article
- "What Is a Step?" Differences in How a Step Is Detected among Three Popular Activity Monitors That Have Impacted Physical Activity Research.Sensors (Basel, Switzerland) · 2018Article
- Convergent validity of ActiGraph and Actical accelerometers for estimating physical activity in adults.PloS one · 2018Article
- Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument.Journal of medical Internet research · 2017Article
- Physical activity, sedentary behavior, and long-term cardiovascular risk in young people: A review and discussion of methodology in prospective studies.Journal of sport and health science · 2016Article
- Comparison of raw acceleration from the GENEA and ActiGraph™ GT3X+ activity monitors.Sensors (Basel, Switzerland) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
This paper determines if the leveling off ('plateau/inverted-U' phenomenon) of vertical ActiGraph activity counts during running at higher speeds is attributable to the monitor's signal filtering and acceleration detection characteristics. Ten endurance-trained male participants (mean (SD) age = 28.2 (4.7) years) walked at 3, 5 and 7 km h(-1), and ran at 8, 10, 12, 14, 16, 18 and 20 km h(-1) on a force treadmill while wearing an ActiGraph GT3X monitor at the waist. Triaxial accelerations of the body's center of mass (CoM) and frequency content of these accelerations were computed from the force treadmill data. GT3X vertical activity counts demonstrated the expected 'plateau/inverted-U' phenomenon. In contrast, vertical CoM accelerations increased with increasing speed (1.32 ± 0.26 g at 10 km h(-1) and 1.68 ± 0.24 g at 20 km h(-1)). The dominant frequency in the CoM acceleration signals increased with running speed (14.8 ± 3.2 Hz at 10 km h(-1) and 24.8 ± 3.2 Hz at 20 km h(-1)) and lay beyond the ActiGraph band-pass filter (0.25 to 2.5 Hz) limits. In conclusion, CoM acceleration magnitudes during walking and running lie within the ActiGraph monitor's dynamic acceleration detecting capability. Acceleration signals of higher frequencies that are eliminated by the ActiGraph band-pass filter may be necessary to distinguish among exercise intensity at higher running speeds.
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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.