Juan Miguel Fernández-Alvira1, Karin Bammann2, Gabriele Eiben3, Antje Hebestreit4, Yannis A Kourides5, Eva Kovacs6, Nathalie Michels7, Valeria Pala8, Lucia Reisch9, Paola Russo10, Tomas Veidebaum11, Luis A Moreno1, Claudia Börnhorst4. 1. 1GENUD (Growth,Exercise,NUtrition and Development) Research Group, Faculty of Health Sciences,University of Zaragoza,Edificio del SAI,C/Pedro Cerbuna s/n,50009 Zaragoza,Spain. 2. 3Institute for Public Health and Nursing Sciences (IPP),University of Bremen,Bremen,Germany. 3. 4Department of Public Health and Community Medicine,Public Health Epidemiology Unit (EPI),Sahlgrenska Academy,University of Gothenburg,Gothenburg,Sweden. 4. 5Leibniz Institute for Prevention Research and Epidemiology - BIPS,Bremen,Germany. 5. 6Research and Education Institute of Child Health,Strovolos,Cyprus. 6. 7Institute for Medical Information Processing,Biometrics and Epidemiology and German Center for Vertigo and Balance Disorders,Ludwig-Maximilians-University,Munich,Germany. 7. 8Department of Public Health,Ghent University,Ghent,Belgium. 8. 9Department of Preventive and Predictive Medicine,Epidemiology Unit,Fondazione IRCCS Istituto Nazionale dei Tumori,Milan,Italy. 9. 10Copenhagen Business School,Copenhagen,Denmark. 10. 11Institute of Food Sciences,National Research Council,Avellino,Italy. 11. 12Department of Chronic Diseases,National Institute for Health Development,Tallinn,Estonia.
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.
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.
Authors: Claudia Börnhorst; Paola Russo; Toomas Veidebaum; Michael Tornaritis; Dénes Molnár; Lauren Lissner; Staffan Mårild; Stefaan De Henauw; Luis A Moreno; Anna Floegel; Wolfgang Ahrens; Maike Wolters Journal: Int J Obes (Lond) Date: 2020-09-17 Impact factor: 5.095
Authors: Kathryn V Dalrymple; Christina Vogel; Keith M Godfrey; Janis Baird; Nicholas C Harvey; Mark A Hanson; Cyrus Cooper; Hazel M Inskip; Sarah R Crozier Journal: Int J Obes (Lond) Date: 2021-12-16 Impact factor: 5.551
Authors: Teresa Gontijo de Castro; Sarah Gerritsen; Leonardo P Santos; Dirce M L Marchioni; Susan M B Morton; Clare Wall Journal: Matern Child Nutr Date: 2022-07-19 Impact factor: 3.660
Authors: Kathryn V Dalrymple; Angela C Flynn; Paul T Seed; Annette L Briley; Majella O'Keeffe; Keith M Godfrey; Lucilla Poston Journal: Pediatr Obes Date: 2019-12-27 Impact factor: 4.000
Authors: Outi Sirkka; Maria Fleischmann; Marieke Abrahamse-Berkeveld; Jutka Halberstadt; Margreet R Olthof; Jacob C Seidell; Eva Corpeleijn Journal: Nutrients Date: 2021-06-15 Impact factor: 5.717