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Kids'Cam: An Objective Methodology to Study the World in Which Children Live
Louise N Signal1, Moira B Smith1, Michelle Barr1
1Health Promotion and Policy Research Unit, Department of Public Health, University of Otago, Wellington, New Zealand.
This study introduces a new method using wearable cameras and GPS to objectively analyze children's environments and exposures, including food marketing. The approach is ethical and provides robust data for public health policy.
Area of Science:
- Environmental Health
- Child Psychology
- Public Health Research Methodology
Background:
- Children's daily environments and exposures are complex and difficult to measure objectively.
- Existing research often lacks objective data on children's real-world experiences.
- Understanding these exposures is crucial for child well-being and public health.
Purpose of the Study:
- To introduce and validate a novel methodology for objectively studying children's lived environments.
- To assess children's exposure to food and beverage marketing using objective data.
- To explore ancillary exposures such as alcohol, smoking, and use of green spaces.
Main Methods:
- Employed wearable cameras and GPS units on 168 children (aged 11-13) in Wellington, New Zealand, for 4 days.
- Collected approximately 1.4 million images and 2.2 million GPS coordinates.
- Utilized bespoke software for image coding and ArcGIS for spatial analysis of exposure data.
Main Results:
- Generated substantial objective data on children's exposures across diverse settings, including home, school, and leisure.
- The methodology proved ethical, legal, and acceptable to participants and the community.
- Successfully captured data on challenging-to-measure aspects of children's environments.
Conclusions:
- The developed methodology enables objective analysis of children's environments and exposures.
- Provides robust evidence on children's exposure to food marketing and other factors.
- This approach can facilitate more effective policymaking for numerous public health concerns.
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