ArticleThe international journal of behavioral nutrition and physical activity2019
A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data.
Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Features of effective staff training programmes within school-based interventions targeting student activity behaviour: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- The Influence of Accelerometer Epoch Length on Associations of Physical Activity Intensity and Volume with Bone Outcomes.Journal of sports science & medicine · 2023Article
- Association of device-measured physical activity and sedentary behaviour with cardiovascular risk factors, health-related quality-of-life and exercise capacity over 12-months in cardiac rehabilitation attendees with coronary heart disease.BMC sports science, medicine & rehabilitation · 2022Article
- Seasonal variations in physical activity among Norwegian elementary school children in Arctic regions.International journal of circumpolar health · 2021Article
- Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children.Scientific reports · 2021Article
- Association between Physical Activity and Mood States of Children and Adolescents in Social Isolation during the COVID-19 Epidemic.International journal of environmental research and public health · 2020Article
- Physical Activity across Retirement Transition by Occupation and Mode of Commute.Medicine and science in sports and exercise · 2020Article
- Correction to: A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data.The international journal of behavioral nutrition and physical activity · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors at 13 institutions in 8 countries.
Funding
Abstract
backgroundAccelerometers are widely used to assess child physical activity (PA) levels. Using the accelerometer data, several PA metrics can be estimated. Knowledge about the relationships between these different metrics can improve our understanding of children's PA behavioral patterns. It also has significant implications for comparing PA metrics across studies and fitting a statistical model to examine their health effects. The aim of this study was to examine the relationships among the metrics derived from accelerometers in children.
methodsAccelerometer data from 24,316 children aged 5 to 18 years were extracted from the International Children's Accelerometer Database (ICAD) 2.0. Correlation coefficients between wear time, sedentary behavior (SB), light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate- and vigorous-intensity PA (MVPA), and total activity counts (TAC) were calculated.
resultsTAC was approximately 22X10
conclusionsTAC is mostly explained by MVPA, while it could be more dependent on wear time, compared to MVPA. MVPA appears to be comparable across different wear durations and studies when wear time is ≥8 h/day. Due to the moderate to high correlation between some PA metrics, potential collinearity should be addressed when including multiple PA metrics together in statistical modeling.
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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.