ArticleBMC sports science, medicine & rehabilitation2016
Comparison of three activity monitors for estimating sedentary time among children.
Article in BMC sports science, medicine & rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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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
7 citing papers in PubMed, 18 citations in OpenAlex.
- Homes became the "everything space" during COVID-19: impact of changes to the home environment on children's physical activity and sitting.The international journal of behavioral nutrition and physical activity · 2022Article
- Can Primary School Mathematics Performance Be Predicted by Longitudinal Changes in Physical Fitness and Activity Indicators?Frontiers in psychology · 2022Article
- Breaks in Sedentary Time and Cardiometabolic Markers in Adolescents.Arquivos brasileiros de cardiologia · 2021Article
- Latent Profiles of Health Behaviors in Rural Children with Overweight and Obesity.Journal of pediatric psychology · 2020Article
- Article
- Wearable biosensors to monitor disability in multiple sclerosis.Neurology. Clinical practice · 2017Review
- Fun, influence and competence-a mixed methods study of prerequisites for high school students' participation in physical education.BMC public health · 2017Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTime spent sedentary appears to be associated with several health outcomes in adults, but findings are inconsistent in children. Further, the assessment of sedentary time represents a major challenge. The objectives of the present study were to determine whether 1) ActiGraph GT3X+, ActivPAL and SenseWear Armband Pro3 (SWA) provide comparable estimates of sedentary time in 9-12-year-old children, 2) these devices are valid compared with direct observation, and 3) ActivPAL discriminates between sitting and standing behavior.
methodsThe sample was 67 children. Data were collected during three consecutive days in November 2012. To test the activity monitors in contexts related to physical and sedentary activities commonly performed by children, the children participated in sessions of activity while sitting (watching television, playing video games and tossing a ball while sitting) and standing (musical chairs, active video gaming and tossing a ball) while wearing three different activity monitors at the same time. All activity sessions were observed by two researchers. Differences between monitors were determined using Friedman's two-way analysis of variance by rank order.
resultsMinutes of estimated sedentary time differed across device brands during combined sitting activities: SWA vs. ActiGraph GT3X+ (P = 0.048), SWA vs. ActivPAL, (P < 0.001) and ActiGraph GT3X+ vs. ActivPAL (P = 0.002). Out of 12 min in total of combined recorded sitting activity, SWA reported a median of 6 min (95 % Confidence Interval [CI] = 5.0, 7.0), ActiGraph GT3X+ 7 min (7.0, 8.0) and ActivPAL 10 min (8.6, 10.8) as sedentary time. ActivPAL recorded 3.7 (2.4, 4.0) minutes of the non-sitting activities 'musical chairs', 4.0 (4.0, 4.0) minutes in 'standing ball toss'; and 4.0 (2.7, 4.0) minutes in 'active video gaming' as sitting time.
conclusionRecorded sedentary time varied among the monitors GT3X+, SWA and ActivPAL, and misclassification of standing activities as sitting activities were apparent for ActivPAL in certain activities.
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