Dataset Information

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

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 (β=0·050; 95 % CI 0·006, 0·093), increased waist circumference (β=0·071; 95 % CI 0·001, 0·141) and increased fat mass gain (β=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 (β=0·079; 95 % CI 0·015, 0·143), increased waist circumference (β=0·172; 95 % CI 0·069, 0·275) and increased fat mass gain (β=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.

SUBMITTER: Fernandez-Alvira JM

PROVIDER: S-EPMC10261439 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Publications

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

Fernández-Alvira Juan Miguel JM Bammann Karin K Eiben Gabriele G Hebestreit Antje A Kourides Yannis A YA Kovacs Eva E Michels Nathalie N Pala Valeria V Reisch Lucia L Russo Paola P Veidebaum Tomas T Moreno Luis A LA Börnhorst Claudia C

Public health nutrition 20170907 18

<h4>Objective</h4>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.<h4>Design</h4>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.<h4>Setting</h4>Primary schools ...[more]

PMID: 28879834

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Project description:Nutrition affects bone health status. However, analysis of the dietary patterns gives insights into which particular combination of foods may influence nutritional status and bone health. The aim of this study was to explore the associations between dietary patterns, bone mineral density (BMD) and T-scores, and body composition in New Zealand postmenopausal women. This cross-sectional study examined 125 postmenopausal women aged between 54 and 81 years. Body composition, BMD and T-scores were determined using dual-energy X-ray a bsorptiometry (DXA). Diet composition was assessed using a validated food frequency questionnaire (FFQ) composed of 108 food items, from which 34 food groups were created. Dietary patterns were identified by principal component analysis. The bone and body composition data including skeletal sites T-scores, waist circumference, BMI and body fat percentage were regressed onto the dietary patterns. Four dietary patterns were identified; the milk and milk-rich beverages dietary pattern, the dessert, cheese and red meat dietary pattern, the fruit-rich, biscuit and crackers dietary pattern and the oily fish, sports drink and seafood-rich dietary pattern. The milk and milk-rich beverages dietary pattern was significantly positively associated with spine T-score (r = 0.247, P = 0.008), and not whole-body BMD (r = 0.182, P = 0.051). The oily fish, sports drink and seafood-rich dietary pattern was marginally negatively associated with waist circumference (r = -0.157, P = 0.094) and body mass index (r = -0.163, P = 0.081) and significantly associated with body fat percentage (r = -0.247, P = 0.008). Binary logistic regression indicated that intake of the milk and milk-rich beverages dietary pattern reduced the occurrence of osteoporosis [adjusted odds ratio OR (95% CI): 0.589 (0.353, 0.982)]. A dietary pattern characterized by a high factor loading of milk and milk-rich beverages was positively associated with whole-body BMD and spine T-score, while the oily fish, sports drink, seafood-rich dietary pattern was inversely associated with total body fat percentage. Consumption of milk, even with coffee showed a positive association with bone health among postmenopausal women. Further longitudinal intervention studies is warranted to confirm effects of dietary patterns on skeletal body sites such as hip and femoral neck T-scores.

Dataset Information

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

Objective

Design

Setting

Subjects

Results

Conclusions

Publications

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

Similar Datasets

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