» Articles » PMID: 27384175

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

Overview
Journal Eur J Epidemiol
Specialty Public Health
Date 2016 Jul 8
PMID 27384175
Citations 17
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Dietary Patterns by Level of Maternal Education and Their Contribution to BMI, Fat Mass Index, and Fat-Free Mass Index at Age 5 and the Longitudinal Association with BMI at Age 10.

Rashid V, Nicolaou M, Verhoeff A, Weijs P, Streppel M Nutrients. 2024; 16(19).

PMID: 39408210 PMC: 11479119. DOI: 10.3390/nu16193242.


The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women.

Gholami F, Karimi Z, Samadi M, Sovied N, Yekaninejad M, Keshavarz S Sci Rep. 2023; 13(1):13162.

PMID: 37574495 PMC: 10423716. DOI: 10.1038/s41598-023-39653-x.


An Evaluation of Food and Nutrient Intake among Pregnant Women in The Netherlands: A Systematic Review.

Ter Borg S, Koopman N, Verkaik-Kloosterman J Nutrients. 2023; 15(13).

PMID: 37447397 PMC: 10346763. DOI: 10.3390/nu15133071.


Impact of Pasta Intake on Body Weight and Body Composition: A Technical Review.

Sanders L, Slavin J Nutrients. 2023; 15(12).

PMID: 37375591 PMC: 10300797. DOI: 10.3390/nu15122689.


Dietary patterns, brain morphology and cognitive performance in children: Results from a prospective population-based study.

Mou Y, Blok E, Barroso M, Jansen P, White T, Voortman T Eur J Epidemiol. 2023; 38(6):669-687.

PMID: 37155025 PMC: 10232626. DOI: 10.1007/s10654-023-01012-5.


References
1.
Ocke M . Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis. Proc Nutr Soc. 2013; 72(2):191-9. DOI: 10.1017/S0029665113000013. View

2.
Atlantis E, Martin S, Haren M, Taylor A, Wittert G . Inverse associations between muscle mass, strength, and the metabolic syndrome. Metabolism. 2009; 58(7):1013-22. DOI: 10.1016/j.metabol.2009.02.027. View

3.
Hu F, Rimm E, Smith-Warner S, Feskanich D, Stampfer M, Ascherio A . Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999; 69(2):243-9. DOI: 10.1093/ajcn/69.2.243. View

4.
Hoffmann K, Schulze M, Schienkiewitz A, Nothlings U, Boeing H . Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol. 2004; 159(10):935-44. DOI: 10.1093/aje/kwh134. View

5.
Robinson S, Marriott L, Crozier S, Harvey N, Gale C, Inskip H . Variations in infant feeding practice are associated with body composition in childhood: a prospective cohort study. J Clin Endocrinol Metab. 2009; 94(8):2799-805. DOI: 10.1210/jc.2009-0030. View