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Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research.

Shawna R BeeseJulie PostmaJanessa M Graves
Published in: International journal of environmental research and public health (2022)
The scientific contributions of this study are that we have identified a clear gap in geographic considerations when studying allostatic load. The implication of this study is that we have highlighted geographic concepts when conducting neighborhood-level research using administrative databases as a neighborhood proxy and outlined emerging future trends that can enable future study of allostatic load in the neighborhood context.
Keyphrases
  • physical activity
  • systematic review
  • machine learning
  • artificial intelligence
  • deep learning
  • big data