Advances in methods for characterising dietary patterns: a scoping review

There is a growing focus on understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterise dietary patterns, such as latent class analysis and machine learning algorithms, may offer opportunities t...

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Veröffentlicht in:	British journal of nutrition Jg. 133; H. 7; S. 987 - 1001
Hauptverfasser:	Hutchinson, Joy M., Raffoul, Amanda, Pepetone, Alexandra, Andrade, Lesley, Williams, Tabitha E., McNaughton, Sarah A., Leech, Rebecca M., Reedy, Jill, Shams-White, Marissa M., Vena, Jennifer E., Dodd, Kevin W., Bodnar, Lisa M., Lamarche, Benoît, Wallace, Michael P., Deitchler, Megan, Hussain, Sanaa, Kirkpatrick, Sharon I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge, UK Cambridge University Press 14.04.2025
Schlagworte:	Innovative Techniques Scoping Review Novel methods Dietary patterns Health outcomes Machine learning Scoping review Latent class analysis Diet quality
ISSN:	0007-1145, 1475-2662, 1475-2662
Online-Zugang:	Volltext
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