The influence of different processing rules on wearable camera data estimates of habitual screen time in children
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View abstract on PubMed
Summary
This summary is machine-generated.Objective screen time measurement in children is feasible with longer image intervals (up to 60s) for group analysis. Shorter intervals (10s) are needed for individual screen time accuracy.
Area Of Science
- Child Health
- Digital Health
- Objective Measurement
Background
- Growing interest in objective screen time measurement.
- Need for standardized data processing methods for wearable camera data.
Purpose Of The Study
- Investigate the impact of image capture intervals on screen time estimates.
- Evaluate how different processing assumptions affect screen time data from wearable cameras.
Main Methods
- Used chest-worn cameras capturing images every 2 seconds over 4 days in children.
- Analyzed screen time estimates using various image capture intervals (2-60s) and processing rules.
- Included data from children in a crossover trial manipulating sleep.
Main Results
- Image intervals up to 60s did not significantly alter group-level screen time estimates compared to 2s intervals.
- A 10s interval offered the best balance between data volume and individual screen time accuracy.
- Processing rules allowing 'blocked' images increased screen time estimates by 8.8 to 59.8 minutes.
Conclusions
- Up to 60s image intervals are suitable for group-level screen time measurement in children.
- Shorter intervals (e.g., 10s) are necessary for accurate individual-level screen time data.
- Screen time estimates can be significantly influenced by processing rules for blocked images.
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