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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Vydané v:	British journal of nutrition Ročník 133; číslo 7; s. 987 - 1001
Hlavní autori:	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.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 14.04.2025
Predmet:	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
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