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)...

Full description

Bibliographic Details
Main Authors: Michelle Jie Ying Choy, Iain Brownlee, Aoife Marie Murphy
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/13/4/1335