Literature DB >> 24418249

Children's nutrient intake variability is affected by age and body weight status according to results from a Brazilian multicenter study.

Michelle A de Castro1, Eliseu Verly2, Mauro Fisberg3, Regina M Fisberg4.   

Abstract

A major challenge in nutritional studies focusing on children is estimating "true" intake because the type and amount of foods eaten change throughout growth and development, thereby affecting the variability of intake. The present study investigated the hypothesis that age and body weight status affect the ratio of the within- and between-subject variation of intakes (VR) as well as the number of days of dietary assessment (D) of energy and nutrients. A total of 2,981 Brazilian preschoolers aged 1-6 years were evaluated in a cross-sectional study. Weighed food records and estimated food records were used to assess dietary intake inside and outside of school. Within- and between-subject variations of intakes were estimated by multilevel regression models. VR and D were calculated according to age group and body weight status. VR ranged from 1.17 (calcium) to 8.70 (fat) in the 1- to 2-year-old group, and from 1.47 (calcium) to 8.95 (fat) in the 3- to 6-year-old group. Fat, fiber, riboflavin, folate, calcium, phosphorus, and iron exhibited greater VR and D in the 3- to 6-year-old group. For energy, carbohydrates, and protein, both within- and between-subject variation increased with increasing age. In both body weight groups, calcium showed the lowest VR. Fat showed the highest VR in nonoverweight/obese children (9.47), and fiber showed the highest VR in overweight/obese children (8.74). For most nutrients, D = 7 was sufficient to correctly rank preschoolers into tertiles of intake. In conclusion, age and body weight status affected the within- and between-subject variation and the VR of energy and nutrient intakes among Brazilian preschool children.
© 2013.

Entities:  

Keywords:  BMI; CVb; CVw; Children; D; Diet; EFR; Multilevel analysis; Nutrition assessment; SDb; SDw; Sb(2); Sw(2); VR; Variation; WFR; between-subject SD; between-subject coefficient of variation; between-subject variation of intake; body mass index; correlation coefficient; estimated food record; number of days of dietary assessment; r; ratio of the within- to between-subject variation of intake; weighed food record; within-person variation of intake; within-subject SD; within-subject coefficient of variation

Mesh:

Substances:

Year:  2013        PMID: 24418249     DOI: 10.1016/j.nutres.2013.09.006

Source DB:  PubMed          Journal:  Nutr Res        ISSN: 0271-5317            Impact factor:   3.315


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