An Unsupervised Machine-Learning Approach to Characterize Ultra-Processed Food Consumers: Results from the NHANES 2015–2015 Survey Cycle

OBJECTIVES: The consumption of ultra-processed food (UPF) has been suggested to be associated with adverse health outcomes. Understanding factors that affect the consumption of UPF is relevant from the public health perspective in order to develop ad hoc public health strategies facing UPF consumpti...

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Veröffentlicht in:Curr Dev Nutr
Hauptverfasser: Lorenzoni, Giulia, Azzolina, Danila, Silano, Marco, Gregori, Dario
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
Schlagworte:
Community and Public Health Nutrition
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7257877/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cdn/nzaa043_083
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