Impact of Pre-Processing Criteria on Accelerometer Data Analysis
Author Information
Author(s): Han Bing, Perez Lilian, Cohen Deborah A., Seelam Rachana, Derose Kathryn P.
Primary Institution: Kaiser Permanente Southern California
Hypothesis
How do different pre-processing criteria for accelerometer data affect physical activity outcomes?
Conclusion
Changes in minimum wear-time requirements can significantly alter the results of physical activity analyses.
Supporting Evidence
- Accelerometers are the preferred method for measuring physical activity.
- Different pre-processing criteria can lead to significant variations in physical activity outcomes.
- Minimum wear-time requirements greatly influence the sample size and analysis results.
Takeaway
This study shows that how we prepare accelerometer data can change the results we get about how active people are.
Methodology
The study analyzed accelerometer data from 538 adult Latino participants, focusing on various pre-processing criteria.
Potential Biases
Potential biases due to participant compliance and the use of a single type of accelerometer.
Limitations
The study is based on a single dataset from a specific population, which may limit generalizability.
Participant Demographics
Adult Latino participants, mean age 51.9 years, 77.6% female.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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