ArticlePloS one2014
Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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
33 citing papers in PubMed, 55 citations in OpenAlex.
- Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson's disease using multiple inertial sensors.Journal of neuroengineering and rehabilitation · 2017Trial
- Longitudinal Tracking of Objective Measures of Cardiorespiratory Fitness, Body Composition, and Physical Activity in Children.Medicine and science in sports and exercise · 2026Article
- Infant weight gain and motor development in relation to childhood adiposity and physical activity.JSAMS plus · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- The Association between 24 h Movement Guidelines and Internalising and Externalising Behaviour Problems among Chinese Preschool Children.Children (Basel, Switzerland) · 2023Article
- Defecation Habits in Preschoolers Are Associated with Physical Activity: A Cross-Sectional and Isotemporal Substitution Analysis.Children (Basel, Switzerland) · 2023Article
- The Amount of Light to Vigorous Physical Activity (Met's-Hours/Day) in Children with and without Down Syndrome Attending Elementary School in Japan.International journal of environmental research and public health · 2023Article
- Article
- Correlates of domain-specific sedentary behaviors and objectively assessed sedentary time among elementary school children.Scientific reports · 2022Article
- Changes in physical activity patterns of students from primary to secondary school: a 5-year longitudinal study.Scientific reports · 2022Article
- Change in Japanese children's 24-hour movement guidelines and mental health during the COVID-19 pandemic.Scientific reports · 2021Article
- Association between Water and Energy Requirements with Physical Activity and Fat-Free Mass in Preschool Children in Japan.Nutrients · 2021Article
- Effects of a Physical Education Program on Physical Activity and Emotional Well-Being among Primary School Children.International journal of environmental research and public health · 2021Article
- Associations between Adherence to Combinations of 24-h Movement Guidelines and Overweight and Obesity in Japanese Preschool Children.International journal of environmental research and public health · 2020Article
- How Many Days are Necessary to Represent Typical Daily Leg Movement Behavior for Infants at Risk of Developmental Disabilities?Sensors (Basel, Switzerland) · 2020Article
- Comparison of ActiGraph GT9X Link with two Japanese accelerometers for assessments of free-living physical activity in junior high school students.BMC research notes · 2020Article
- The VIE study: feasibility of a physical activity intervention in a multidisciplinary program in children with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Article
- The Choice of Pedometer Impacts on Daily Step Counts in Primary School Children under Free-Living Conditions.International journal of environmental research and public health · 2019Article
- Gender differences in physical activity and sedentary behavior of Japanese primary school children during school cleaning time, morning recess and lunch recess.BMC public health · 2019Article
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 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aims of our study were to examine whether a gravity-removal physical activity classification algorithm (GRPACA) is applicable for discrimination between nonlocomotive and locomotive activities for various physical activities (PAs) of children and to prove that this approach improves the estimation accuracy of a prediction model for children using an accelerometer. Japanese children (42 boys and 26 girls) attending primary school were invited to participate in this study. We used a triaxial accelerometer with a sampling interval of 32 Hz and within a measurement range of ±6 G. Participants were asked to perform 6 nonlocomotive and 5 locomotive activities. We measured raw synthetic acceleration with the triaxial accelerometer and monitored oxygen consumption and carbon dioxide production during each activity with the Douglas bag method. In addition, the resting metabolic rate (RMR) was measured with the subject sitting on a chair to calculate metabolic equivalents (METs). When the ratio of unfiltered synthetic acceleration (USA) and filtered synthetic acceleration (FSA) was 1.12, the rate of correct discrimination between nonlocomotive and locomotive activities was excellent, at 99.1% on average. As a result, a strong linear relationship was found for both nonlocomotive (METs = 0.013×synthetic acceleration +1.220, R2 = 0.772) and locomotive (METs = 0.005×synthetic acceleration +0.944, R2 = 0.880) activities, except for climbing down and up. The mean differences between the values predicted by our model and measured METs were -0.50 to 0.23 for moderate to vigorous intensity (>3.5 METs) PAs like running, ball throwing and washing the floor, which were regarded as unpredictable PAs. In addition, the difference was within 0.25 METs for sedentary to mild moderate PAs (<3.5 METs). Our specific calibration model that discriminates between nonlocomotive and locomotive activities for children can be useful to evaluate the sedentary to vigorous PAs intensity of both nonlocomotive and locomotive activities.
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.