PMID- 25376214
OWN - NLM
STAT- MEDLINE
DCOM- 20150610
LR  - 20221207
IS  - 1476-5497 (Electronic)
IS  - 0307-0565 (Linking)
VI  - 38 Suppl 2
DP  - 2014 Sep
TI  - Dietary energy density in young children across Europe.
PG  - S124-34
LID - 10.1038/ijo.2014.143 [doi]
AB  - OBJECTIVES: To describe energy density (ED; kcal g(-1)) of dietary intake of 
      European children. METHODS: From 16, 228 children who participated in the IDEFICS 
      (Identification and prevention of Dietary- and lifestyle-induced health EFfects 
      In Children and infantS) baseline examination, 8551 children with 24-h dietary 
      recalls (24-HDR), with plausible reported energy intakes and complete covariate 
      information were included in the present analysis. ED was calculated using two 
      methods: (1) ED including solid foods (EDF) and (2) ED including solid foods and 
      energy-containing beverages (EDF&B). Beverage energy was calculated in kcal per 
      day. Dietary characteristics and body mass index (BMI) z-score of children aged 2 
      to <6 years and 6 to <10 years were compared between children with an overall EDF 
      below the <25th percentile, between the 25th and 75th percentile as well as above 
      the >75th percentile. Standardised regression coefficients were estimated to 
      assess the association between dietary characteristics, BMI z-score and ED of the 
      diet. RESULTS: Children with low EDF and EDF&B diets consumed less energy but 
      higher quantity of food and beverages than children with high EDF and EDF&B 
      diets. Consumption of caloric beverages decreased with increasing EDF&B of the 
      diet owing to the relatively low ED of the beverages, in relation to solid foods. 
      Generally, children with low EDF and EDF&B diets showed healthier food choices 
      than peers with higher EDF and EDF&B diets. In this sample, EDF and EDF&B were 
      not associated with BMI z-score. CONCLUSION: Health promotion strategies should 
      proclaim lower ED diets by means of foods with high water and low fat content and 
      mainly fruit and vegetable components. Excluding caloric beverages from EDF 
      calculation is a useful method to avoid misinterpretation of true exposure to a 
      high energy dense diet. We recommend excluding caloric beverages from EDF 
      calculation when investigating the effect of ED on a certain (health) outcome.
FAU - Hebestreit, A
AU  - Hebestreit A
AD  - Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
FAU - Bornhorst, C
AU  - Bornhorst C
AD  - Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
FAU - Pala, V
AU  - Pala V
AD  - Epidemiology and Prevention Unit, Department of Preventive & Predictive Medicine, 
      Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
FAU - Barba, G
AU  - Barba G
AD  - Epidemology & Population Genetics, Institute of Food Sciences, National Research 
      Council, Avellino, Italy.
FAU - Eiben, G
AU  - Eiben G
AD  - Department of Public Health and Community Medicine, University of Gothenburg, 
      Sweden.
FAU - Veidebaum, T
AU  - Veidebaum T
AD  - Department of Chronic Diseases, National Institute for Health Development, 
      Tallinn, Estonia.
FAU - Hadjigergiou, C
AU  - Hadjigergiou C
AD  - Research and Education Institute of Child Health, Strovolos, Cyprus.
FAU - Molnar, D
AU  - Molnar D
AD  - Department of Pediatrics, University of Pecs, Pecs, Hungary.
FAU - Claessens, M
AU  - Claessens M
AD  - Department of Public Health, Ghent University, Ghent, Belgium.
FAU - Fernandez-Alvira, J M
AU  - Fernandez-Alvira JM
AD  - GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of 
      Health Sciences, University of Zaragoza, Zaragoza, Spain.
FAU - Pigeot, I
AU  - Pigeot I
AD  - 1] Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, 
      Germany [2] Department of Mathematics and Computer Science, University of Bremen, 
      Bremen, Germany.
CN  - IDEFICS consortium
LA  - eng
PT  - Journal Article
PT  - Multicenter Study
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Int J Obes (Lond)
JT  - International journal of obesity (2005)
JID - 101256108
SB  - IM
MH  - Body Composition
MH  - Body Mass Index
MH  - Child
MH  - Child Nutritional Physiological Phenomena
MH  - Child, Preschool
MH  - Cohort Studies
MH  - Diet
MH  - *Energy Intake
MH  - Europe/epidemiology
MH  - *Feeding Behavior
MH  - Female
MH  - *Food
MH  - Health Promotion
MH  - Humans
MH  - *Life Style
MH  - Male
MH  - *White People/statistics & numerical data
FIR - Ahrens, Wolfgang
IR  - Ahrens W
FIR - De Henauw, Stefaan
IR  - De Henauw S
FIR - Buchecker, Kirsten
IR  - Buchecker K
FIR - de Lorgeril, Michel
IR  - de Lorgeril M
FIR - Fraterman, Arno
IR  - Fraterman A
FIR - Galli, Claudio
IR  - Galli C
FIR - Iacoviello, Licia
IR  - Iacoviello L
FIR - Krogh, Vittorio
IR  - Krogh V
FIR - Marild, Staffan
IR  - Marild S
FIR - Molnar, Denes
IR  - Molnar D
FIR - Moreno, Luis
IR  - Moreno L
FIR - Palou, Andreu
IR  - Palou A
FIR - Pitsiladis, Yannis
IR  - Pitsiladis Y
FIR - Rayson, Mark P
IR  - Rayson MP
FIR - Reisch, Lucia A
IR  - Reisch LA
FIR - Siani, Alfonso
IR  - Siani A
FIR - Tornaritis, Michalis
IR  - Tornaritis M
FIR - Veidebaum, Toomas
IR  - Veidebaum T
FIR - Wiliams, Garrath D
IR  - Wiliams GD
FIR - Fernandez, Laura
IR  - Fernandez L
EDAT- 2014/11/08 06:00
MHDA- 2015/06/11 06:00
CRDT- 2014/11/08 06:00
PHST- 2014/11/08 06:00 [entrez]
PHST- 2014/11/08 06:00 [pubmed]
PHST- 2015/06/11 06:00 [medline]
AID - ijo2014143 [pii]
AID - 10.1038/ijo.2014.143 [doi]
PST - ppublish
SO  - Int J Obes (Lond). 2014 Sep;38 Suppl 2:S124-34. doi: 10.1038/ijo.2014.143.