International Children's Accelerometry Database (ICAD): Design and Methods
Author Information
Author(s): Sherar Lauren B, Griew Pippa, Esliger Dale W, Cooper Ashley R, Ekelund Ulf, Judge Ken, Riddoch Chris
Primary Institution: College of Kinesiology, University of Saskatchewan
Hypothesis
What are the physical activity levels and patterns of children from diverse geographical backgrounds and how do these vary by age, gender and BMI?
Conclusion
Pooling raw accelerometer data and accompanying phenotypic data from a number of studies has the potential to improve our understanding of the relationship between physical activity and health outcomes in children.
Supporting Evidence
- Accelerometers provide objective measures of physical activity, which are more reliable than self-reported data.
- Pooling data from multiple studies increases statistical power and allows for more robust conclusions.
- The study included a large and diverse sample of children, enhancing the generalizability of the findings.
Takeaway
This study collected and combined activity data from many children around the world to better understand how active they are and how it affects their health.
Methodology
Data from 20 studies worldwide were pooled, involving 46,131 raw accelerometer files and demographic data from children aged 3-18 years.
Potential Biases
Potential bias due to the variability in study designs and participant demographics.
Limitations
Variability in accelerometer measurements and differences in data collection methods across studies may affect the results.
Participant Demographics
Children aged 3-18 years from diverse geographical backgrounds, including various ethnicities and socio-economic statuses.
Digital Object Identifier (DOI)
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