ArticlePediatric exercise science2012
Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth.
Article in Pediatric exercise science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02970123 (Sit Less, Interact, Move More), which is not on this map. Cited by 9 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.
Sit Less, Interact, Move More (SLIMM) Intervention for Sedentary Behavior in Chronic Kidney Disease (CKD)
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Fatigue in children and adolescents with inflammatory bowel disease.World journal of gastroenterology · 2019Pooled it
- Prediction Equation for Physical Activity Energy Expenditure in 11-13-Year-Old Sri Lankan Children.Nutrients · 2023Trial
- Simple Prediction of Metabolic Equivalents of Daily Activities Using Heart Rate Monitor without Calibration of Individuals.International journal of environmental research and public health · 2019Article
- Article
- Rates of Obesity and Obesogenic Behaviors of Rural Appalachian Adolescents: How Do They Compare to Other Adolescents or Recommendations?Journal of physical activity & health · 2018Article
- Comparison of Accelerometer-Based Cut-Points for Children's Physical Activity: Counts vs. Steps.Children (Basel, Switzerland) · 2018Article
- Variations of body composition, physical activity and caloric intake in schoolchildren during national holidays.Eating and weight disorders : EWD · 2016Article
- Ankle Accelerometry for Assessing Physical Activity Among Adolescent Girls: Threshold Determination, Validity, Reliability, and Feasibility.Research quarterly for exercise and sport · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
This study examined the validity of commonly used regression equations for the Actigraph and Actical accelerometers in predicting energy expenditure (EE) in children and adolescents. Sixty healthy (8-16 yrs) participants completed four treadmill (TM) and five self-paced activities of daily living (ADL). Four Actigraph (AG) and three Actical (AC) regression equations were used to estimate EE. Bias (± 95% CI) and root mean squared errors were used to assess the validity of the regression equations compared with indirect calorimetry. For children, the Freedson (AG) model accurately predicted EE for all activities combined and the Treuth (AG) model accurately predicted EE for TM activities. For adolescents, the Freedson model accurately predicted EE for TM activities and the Treuth model accurately predicted EE for all activities and for TM activities. No other equation accurately estimated EE. The percent agreement for the AG and AC equations were better for light and vigorous compared with moderate intensity activities. The Trost (AG) equation most accurately classified all activity intensity categories. Overall, equations yield inconsistent point estimates of EE.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.