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Prospective associations between dietary patterns and body composition changes in European children : the IDEFICS study

(2017) PUBLIC HEALTH NUTRITION. 20(18). p.3257-3265
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Abstract
Objective: To describe dietary patterns by applying cluster analysis and to describe the cluster memberships of European children over time and their association with body composition changes. Design: The analyses included k-means clustering based on the similarities between the relative frequencies of consumption of forty-three food items and regression models were fitted to assess the association between dietary patterns and body composition changes. Setting: Primary schools and pre-schools of selected regions in Italy, Estonia, Cyprus, Belgium, Sweden, Hungary, Germany and Spain. Subjects: Participants (n 8341) in the baseline (2-9 years old) and follow-up (4-11 years old) surveys of the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) study. Results: Three persistent clusters were obtained at baseline and follow-up. Children consistently allocated to the 'processed' cluster presented increased BMI (beta=0.050; 95 % CI 0.006, 0.093), increased waist circumference (beta=0.071; 95 % CI 0.001, 0.141) and increased fat mass gain (beta=0.052; 95 % CI 0.014, 0.090) over time v. children allocated to the 'healthy' cluster. Being in the 'processed'-'sweet' cluster combination was also linked to increased BMI (beta=0.079; 95 % CI 0.015, 0.143), increased waist circumference (beta=0.172; 95 % CI 0.069, 0.275) and increased fat mass gain (beta=0.076; 95 % CI 0.019, 0.133) over time v. the 'healthy' cluster. Conclusions: Children consistently showing a processed dietary pattern or changing from a processed pattern to a sweet pattern presented the most unfavourable changes in fat mass and abdominal fat. These findings support the need to promote overall healthy dietary habits in obesity prevention and health promotion programmes targeting children.
Keywords
Cluster analysis, Dietary patterns, Prospective analysis, Body composition, Children, IDEFICS, CHILDHOOD OBESITY, MASS INDEX, PREVALENCE, OVERWEIGHT, ADIPOSITY, RISK, IDENTIFICATION, ADOLESCENCE, CONSUMPTION, NUTRITION

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Chicago
Fernández-Alvira, Juan Miguel, Karin Bammann, Gabriele Eiben, Antje Hebestreit, Yannis A Kourides, Eva Kovacs, Nathalie Michels, et al. 2017. “Prospective Associations Between Dietary Patterns and Body Composition Changes in European Children : the IDEFICS Study.” Public Health Nutrition 20 (18): 3257–3265.
APA
Fernández-Alvira, Juan Miguel, Bammann, K., Eiben, G., Hebestreit, A., Kourides, Y. A., Kovacs, E., Michels, N., et al. (2017). Prospective associations between dietary patterns and body composition changes in European children : the IDEFICS study. PUBLIC HEALTH NUTRITION, 20(18), 3257–3265.
Vancouver
1.
Fernández-Alvira JM, Bammann K, Eiben G, Hebestreit A, Kourides YA, Kovacs E, et al. Prospective associations between dietary patterns and body composition changes in European children : the IDEFICS study. PUBLIC HEALTH NUTRITION. 2017;20(18):3257–65.
MLA
Fernández-Alvira, Juan Miguel, Karin Bammann, Gabriele Eiben, et al. “Prospective Associations Between Dietary Patterns and Body Composition Changes in European Children : the IDEFICS Study.” PUBLIC HEALTH NUTRITION 20.18 (2017): 3257–3265. Print.
@article{8542100,
  abstract     = {Objective: To describe dietary patterns by applying cluster analysis and to describe the cluster memberships of European children over time and their association with body composition changes. 
Design: The analyses included k-means clustering based on the similarities between the relative frequencies of consumption of forty-three food items and regression models were fitted to assess the association between dietary patterns and body composition changes. 
Setting: Primary schools and pre-schools of selected regions in Italy, Estonia, Cyprus, Belgium, Sweden, Hungary, Germany and Spain. 
Subjects: Participants (n 8341) in the baseline (2-9 years old) and follow-up (4-11 years old) surveys of the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) study. 
Results: Three persistent clusters were obtained at baseline and follow-up. Children consistently allocated to the 'processed' cluster presented increased BMI (beta=0.050; 95 \% CI 0.006, 0.093), increased waist circumference (beta=0.071; 95 \% CI 0.001, 0.141) and increased fat mass gain (beta=0.052; 95 \% CI 0.014, 0.090) over time v. children allocated to the 'healthy' cluster. Being in the 'processed'-'sweet' cluster combination was also linked to increased BMI (beta=0.079; 95 \% CI 0.015, 0.143), increased waist circumference (beta=0.172; 95 \% CI 0.069, 0.275) and increased fat mass gain (beta=0.076; 95 \% CI 0.019, 0.133) over time v. the 'healthy' cluster. 
Conclusions: Children consistently showing a processed dietary pattern or changing from a processed pattern to a sweet pattern presented the most unfavourable changes in fat mass and abdominal fat. These findings support the need to promote overall healthy dietary habits in obesity prevention and health promotion programmes targeting children.},
  author       = {Fern{\'a}ndez-Alvira, Juan Miguel and Bammann, Karin and Eiben, Gabriele and Hebestreit, Antje and Kourides, Yannis A and Kovacs, Eva and Michels, Nathalie and Pala, Valeria and Reisch, Lucia and Russo, Paola and Veidebaum, Tomas and Moreno, Luis A and B{\"o}rnhorst, Claudia},
  issn         = {1368-9800},
  journal      = {PUBLIC HEALTH NUTRITION},
  keyword      = {Cluster analysis,Dietary patterns,Prospective analysis,Body composition,Children,IDEFICS,CHILDHOOD OBESITY,MASS INDEX,PREVALENCE,OVERWEIGHT,ADIPOSITY,RISK,IDENTIFICATION,ADOLESCENCE,CONSUMPTION,NUTRITION},
  language     = {eng},
  number       = {18},
  pages        = {3257--3265},
  title        = {Prospective associations between dietary patterns and body composition changes in European children : the IDEFICS study},
  url          = {http://dx.doi.org/10.1017/s1368980017002361},
  volume       = {20},
  year         = {2017},
}

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