The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs

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OBJECTIVES: Data-driven methods were recently applied to create temporal dietary patterns (TDPs) incorporating timing and amount of energy intake over 24-hours; their relationships to obesity were determined. However, description of the data-driven TDPs using energy and time cut-offs were not valida...

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Detalles Bibliográficos
Autores principales: Lin, Luotao, Guo, Jiaqi, Li, Yitao, Gelfand, Saul, Delp, Edward, Bhadra, Anindya, Richards, Elizabeth, Hennessy, Erin, Eicher-Miller, Heathero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Dietary Patterns
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193882/
http://dx.doi.org/10.1093/cdn/nzac054.032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193882/
http://dx.doi.org/10.1093/cdn/nzac054.032

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