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A priori and a posteriori dietary patterns at the age of 1 year and body composition at the age of 6 years: the Generation R Study.
- Source :
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European journal of epidemiology [Eur J Epidemiol] 2016 Aug; Vol. 31 (8), pp. 775-83. Date of Electronic Publication: 2016 Jul 06. - Publication Year :
- 2016
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Abstract
- Dietary patterns have been linked to obesity in adults, however, not much is known about this association in early childhood. We examined associations of different types of dietary patterns in 1-year-old children with body composition at school age in 2026 children participating in a population-based cohort study. Dietary intake at the age of 1 year was assessed with a food-frequency questionnaire. At the children's age of 6 years we measured their body composition with dual-energy X-ray absorptiometry and we calculated body mass index, fat mass index (FMI), and fat-free mass index (FFMI). Three dietary pattern approaches were used: (1) An a priori-defined diet quality score; (2) dietary patterns based on variation in food intake, derived from principal-component-analysis (PCA); and (3) dietary patterns based on variations in FMI and FFMI, derived with reduced-rank-regression (RRR). Both the a priori-defined diet score and a 'Health-conscious' PCA-pattern were characterized by a high intake of fruit, vegetables, grains, and vegetable oils, and, after adjustment for confounders, children with higher adherence to these patterns had a higher FFMI at 6 years [0.19 SD (95 % CI 0.08;0.30) per SD increase in diet score], but had no different FMI. One of the two RRR-patterns was also positively associated with FFMI and was characterized by intake of whole grains, pasta and rice, and vegetable oils. Our results suggest that different a priori- and a posteriori-derived health-conscious dietary patterns in early childhood are associated with a higher fat-free mass, but not with fat mass, in later childhood.<br />Competing Interests: The authors declare that they have no conflict of interest.
Details
- Language :
- English
- ISSN :
- 1573-7284
- Volume :
- 31
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- European journal of epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 27384175
- Full Text :
- https://doi.org/10.1007/s10654-016-0179-x