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ABSTRACT: Objective
To describe the nutrient intakes of an Italian cohort of infants at 6, 9 and 12 months of age.Design
Dietary data were collected using a food diary at three follow-ups (6, 9 and 12 months of age of infants). The infants' dietary data were used to estimate nutrient intakes using the Italian food composition database integrated with data from nutritional labels and the literature. The mean and standard deviation, median and interquartile range, minimum and maximum, and 5th, 25th, 75th and 95th percentiles were calculated for the daily intake of twenty-eight nutrients, with sex differences evaluated using parametric/non-parametric statistical methods.Setting
A prospective population-based birth cohort.SubjectInfants (n 400) living in the urban area of Trieste (Italy).Results
The sex distribution was fairly balanced at each follow-up. The mean daily intakes of energy and the other twenty-seven nutrients considered were greater in males at all follow-ups. In particular, a significant statistical difference was observed in higher male consumption of cholesterol at 9 months and in energy and carbohydrate intakes at 12 months (P < 0·05). The mean daily intake of proteins was greater than that recommended by the Italian Dietary Reference Values at all follow-ups.Conclusions
These preliminary results provide a useful basis for understanding the nutrient intake patterns of infants in this area of Italy during the first year of life.
SUBMITTER: Concina F
PROVIDER: S-EPMC6190068 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
Concina Federica F Pani Paola P Bravo Giulia G Barbone Fabio F Carletti Claudia V CV Knowles Alessandra A Ronfani Luca L Parpinel Maria M
Public health nutrition 20180830 16
<h4>Objective</h4>To describe the nutrient intakes of an Italian cohort of infants at 6, 9 and 12 months of age.<h4>Design</h4>Dietary data were collected using a food diary at three follow-ups (6, 9 and 12 months of age of infants). The infants' dietary data were used to estimate nutrient intakes using the Italian food composition database integrated with data from nutritional labels and the literature. The mean and standard deviation, median and interquartile range, minimum and maximum, and 5t ...[more]