Data-Driven Dietary Patterns, Nutrient Intake and Body Weight Status in a Cross-Section of Singaporean Children Aged 6–12 Years

Pattern analysis of children’s diet may provide insights into chronic disease risk in adolescence and adulthood. This study aimed to assess dietary patterns of young Singaporean children using cluster analysis. An existing dataset included 15,820 items consumed by 561 participants (aged 6–12 years)...

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Detalles Bibliográficos
Autores principales: Choy, Michelle Jie Ying, Brownlee, Iain, Murphy, Aoife Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074157/
https://www.ncbi.nlm.nih.gov/pubmed/33920618
http://dx.doi.org/10.3390/nu13041335

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074157/
https://www.ncbi.nlm.nih.gov/pubmed/33920618
http://dx.doi.org/10.3390/nu13041335

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