J M Fernández-Alvira1, K Bammann2, V Pala3, V Krogh3, G Barba4, G Eiben5, A Hebestreit6, T Veidebaum7, L Reisch8, M Tornaritis9, E Kovacs10, I Huybrechts11, L A Moreno1. 1. GENUD (Growth, Exercise, NUtrition and Development) research group, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain. 2. 1] Institute for Public Health and Nursing Sciences (ipp), University of Bremen, Bremen, Germany [2] Leibniz Institute for Prevention Research and Epidemiology BIPS GmbH, Bremen, Germany. 3. Department of Preventive and Predictive Medicine, Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. 4. Unit of Epidemiology and Population Genetics, Institute of Food Sciences, National Reseach Council, Avellino, Italy. 5. Department of Public Health and Community Medicine, Public Health Epidemiology Unit, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. 6. Leibniz Institute for Prevention Research and Epidemiology BIPS GmbH, Bremen, Germany. 7. Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia. 8. Copenhagen Business School, Copenhagen, Denmark. 9. Research and Education Institute of Child Health, Strovolos, Cyprus. 10. Department of Paediatrics, University of Pécs, Pécs, Hungary. 11. 1] Department of Public Health, Ghent University, Ghent, Belgium [2] International Agency for research on Cancer, Dietary Exposure assessment group, Lyon, France.
Abstract
BACKGROUND/ OBJECTIVES: Children from lower socioeconomic status (SES) may be at higher risk of unhealthy eating. We described country-specific dietary patterns among children aged 2-9 years from eight European countries participating in the IDEFICS study and assessed the association of dietary patterns with an additive SES indicator. SUBJECTS/ METHODS: Children aged 2-9 years from eight European countries were recruited in 2007-2008. Principal component analysis was applied to identify dietary country-specific patterns. Linear regression analyses were applied to assess their association with SES. RESULTS: Two to four dietary patterns were identified in the participating regions. The existence of a 'processed' pattern was found in the eight regions. Also, a 'healthy' pattern was identified in seven of the eight regions. In addition, region-specific patterns were identified, reflecting the existing gastronomic and cultural differences in Europe. The 'processed' pattern was significantly inversely associated with the SES additive indicator in all countries except Sweden, whereas the 'healthy' pattern was positively associated with SES in the Belgian, Estonian, German and Hungarian regions, but was not significant in the Italian, Spanish and Swedish regions. CONCLUSIONS: A 'processed' pattern and a 'healthy' pattern were found in most of the participating countries in the IDEFICS study, with comparable food item profiles. The results showed a strong inverse association of SES with the 'processed' pattern, suggesting that children of parents with lower SES may be at higher risk of unhealthy eating. Therefore, special focus should be given to parents and their children from lower SES levels when developing healthy eating promotion strategies.
BACKGROUND/ OBJECTIVES:Children from lower socioeconomic status (SES) may be at higher risk of unhealthy eating. We described country-specific dietary patterns among children aged 2-9 years from eight European countries participating in the IDEFICS study and assessed the association of dietary patterns with an additive SES indicator. SUBJECTS/ METHODS:Children aged 2-9 years from eight European countries were recruited in 2007-2008. Principal component analysis was applied to identify dietary country-specific patterns. Linear regression analyses were applied to assess their association with SES. RESULTS: Two to four dietary patterns were identified in the participating regions. The existence of a 'processed' pattern was found in the eight regions. Also, a 'healthy' pattern was identified in seven of the eight regions. In addition, region-specific patterns were identified, reflecting the existing gastronomic and cultural differences in Europe. The 'processed' pattern was significantly inversely associated with the SES additive indicator in all countries except Sweden, whereas the 'healthy' pattern was positively associated with SES in the Belgian, Estonian, German and Hungarian regions, but was not significant in the Italian, Spanish and Swedish regions. CONCLUSIONS: A 'processed' pattern and a 'healthy' pattern were found in most of the participating countries in the IDEFICS study, with comparable food item profiles. The results showed a strong inverse association of SES with the 'processed' pattern, suggesting that children of parents with lower SES may be at higher risk of unhealthy eating. Therefore, special focus should be given to parents and their children from lower SES levels when developing healthy eating promotion strategies.
Authors: Helena F Balder; Mikko Virtanen; Henny A M Brants; Vittorio Krogh; L Beth Dixon; Frans Tan; Satu Mannisto; Rino Bellocco; Pirjo Pietinen; Alicja Wolk; Franco Berrino; Piet A Van den Brandt; Anne M Hartman; R Alexandra Goldbohm Journal: J Nutr Date: 2003-12 Impact factor: 4.798
Authors: W Ahrens; K Bammann; A Siani; K Buchecker; S De Henauw; L Iacoviello; A Hebestreit; V Krogh; L Lissner; S Mårild; D Molnár; L A Moreno; Y P Pitsiladis; L Reisch; M Tornaritis; T Veidebaum; I Pigeot Journal: Int J Obes (Lond) Date: 2011-04 Impact factor: 5.095
Authors: K Bammann; W Gwozdz; A Lanfer; G Barba; S De Henauw; G Eiben; J M Fernandez-Alvira; E Kovács; L Lissner; L A Moreno; M Tornaritis; T Veidebaum; I Pigeot Journal: Pediatr Obes Date: 2012-08-08 Impact factor: 4.000
Authors: N Slimani; M Fahey; A A Welch; E Wirfält; C Stripp; E Bergström; J Linseisen; M B Schulze; C Bamia; Y Chloptsios; F Veglia; S Panico; H B Bueno-de-Mesquita; M C Ocké; M Brustad; E Lund; C A González; A Barcos; G Berglund; A Winkvist; A Mulligan; P Appleby; K Overvad; A Tjønneland; F Clavel-Chapelon; E Kesse; P Ferrari; W A Van Staveren; E Riboli Journal: Public Health Nutr Date: 2002-12 Impact factor: 4.022
Authors: Krystallia Mantziki; Carry M Renders; Achilleas Vassilopoulos; Gabriella Radulian; Jean-Michel Borys; Hugues du Plessis; Maria João Gregório; Pedro Graça; Stefaan de Henauw; Svetoslav Handjiev; Tommy L S Visscher; Jacob C Seidell Journal: Int J Equity Health Date: 2016-09-29
Authors: Krystallia Mantziki; Achilleas Vassilopoulos; Gabriella Radulian; Jean-Michel Borys; Hugues Du Plessis; Maria João Gregório; Pedro Graça; Stefaan De Henauw; Svetoslav Handjiev; Tommy Ls Visscher; Jacob C Seidell Journal: BMC Public Health Date: 2015-12-02 Impact factor: 3.295
Authors: Ana-Lucia Mayén; Silvia Stringhini; Nicole D Ford; Reynaldo Martorell; Aryeh D Stein; Fred Paccaud; Pedro Marques-Vidal Journal: Int J Public Health Date: 2016-07-15 Impact factor: 3.380
Authors: Anke Hüls; Marvin N Wright; Leonie H Bogl; Jaakko Kaprio; Lauren Lissner; Dénes Molnár; Luis A Moreno; Stefaan De Henauw; Alfonso Siani; Toomas Veidebaum; Wolfgang Ahrens; Iris Pigeot; Ronja Foraita Journal: Int J Obes (Lond) Date: 2021-03-22 Impact factor: 5.095
Authors: Karen Van den Bussche; Diana Herrmann; Stefaan De Henauw; Yiannis A Kourides; Fabio Lauria; Staffan Marild; Dénes Molnár; Luis A Moreno; Toomas Veidebaum; Wolfgang Ahrens; Isabelle Sioen Journal: Int J Environ Res Public Health Date: 2016-05-05 Impact factor: 3.390
Authors: Shannon E Majowicz; Samantha B Meyer; Sharon I Kirkpatrick; Julianne L Graham; Arshi Shaikh; Susan J Elliott; Leia M Minaker; Steffanie Scott; Brian Laird Journal: BMC Public Health Date: 2016-06-08 Impact factor: 3.295
Authors: Jaroslava Voráčová; Erik Sigmund; Dagmar Sigmundová; Michal Kalman Journal: Int J Environ Res Public Health Date: 2016-10-24 Impact factor: 3.390