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Examining the existing Fitbit data from the ABCD study to understand the sociodemographic data and the availability of the Fitbit data in the context of bias analysis

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Ethan Kim

GDrivehttps://drive.google.com/drive/u/0/folders/1FhY5sLEsgevfVzXDokJLaPCIhzQTzDHs
Project Trackinghttps://github.com/aid4mh/abcdstudy_fitbit_da/projects/1
Code Repo

https://github.com/aid4mh/abcdsutdy_fitbit_da

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titleReference papers
  1. Concurrent and prospective associations between fitbit wearable-derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms
  2. Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health
  3. Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children
  4. ABCD Study Main Paper - The ABCD study: understanding the development of risk for mental and physical health outcomes
  5. Tutorial - https://abcd-repronim.github.io/
  6. https://www.nature.com/articles/s41746-020-0224-8
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titleMedia