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Ten-year changes in diet quality among adolescents and young adults (Food Consumption Survey 2004 and 2014, Belgium)

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Abstract

Purpose

To estimate the 10-year change in the overall nutritional quality of adolescent and young adult’s diet, as measured by the modified Nutrient Profiling System of the British Food Standards Agency individual Dietary Index (FSAm-NPS-DI) which funds the Nutri-Score development, and in different components of this score, overall and according to the individual characteristics.

Methods

Two 24-h dietary recalls were carried out in 15- to 39-year-old respondents included in the Belgian Food Consumption Surveys in 2004 (n = 1186) and 2014 (n = 952). The weighted mean individual FSAm-NPS-DI was computed from all foods and beverages consumed, converted into a scale from 0 to 100 (from the poorest to the most favorable diet), and compared between survey years. Subject characteristics associated with the score, along with the mean daily intake of food groups, energy, and nutrients were explored in multiple linear regressions stratified by survey year and age group.

Results

The weighted mean daily FSAm-NPS-DI significantly increased between 2004 and 2014 [2004: 55.3 (SEM: 0.2) vs. 2014: 57.4 (0.5), P < 0.001 in 15- to 18-year olds; 55.0 (0.6) vs. 58.1 (0.4), P < 0.001 in 19- to 25-year olds; 57.1 (0.4) vs. 58.5 (0.3), P < 0.01 in 26- to 39-year olds]. SFA intake decreased in all age groups, and sugar-sweetened beverage, sugar, sodium, and fiber intakes decreased among 15‒18-year olds. The nutritional quality changed unevenly according to sociocultural characteristics, levels of education and regions being the main sources of disparities.

Conclusion

The quality of diet improved overall between 2004 and 2014 among young people in Belgium, an uneven change that need to be confirmed in future surveys, following the implementation of the Nutri-Score.

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Availability of data and material

The datasets analyzed during the current study are not publicly available due to protection of personal data but are available on reasonable request.

References

  1. Abarca-Gómez L, Abdeen ZA, Hamid ZA et al (2017) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet 390:2627–2642

    Article  Google Scholar 

  2. World Health Organization (2005) Nutrition in adolescence: issues and challenges for the health sector: issues in adolescent health and development, Geneva

  3. Ambrosini GL, Johns DJ, Northstone K et al (2015) Free sugars and total fat are important characteristics of a dietary pattern associated with adiposity across childhood and adolescence. J Nutr 146:778–784

    Article  PubMed  CAS  Google Scholar 

  4. Huybrechts I, Lioret S, Mouratidou T et al (2017) Using reduced rank regression methods to identify dietary patterns associated with obesity: a cross-country study among European and Australian adolescents. Br J Nutr 117:295–305

    Article  CAS  PubMed  Google Scholar 

  5. Bel S, de Ridder K, Lebacq T et al (2019) Habitual food consumption of the Belgian population in 2014–2015 and adherence to food-based dietary guidelines. Arch Public Health 77:14

    Article  PubMed  PubMed Central  Google Scholar 

  6. Sawyer SM, Azzopardi PS, Wickremarathne D et al (2018) The age of adolescence. Lancet Child Adolesc Health S2352–4642:30022–30031

    Google Scholar 

  7. Rayner M, Scarborough P, Lobstein T (2009) The UK ofcom nutrient profiling model: defining ‘healthy’ and ‘unhealthy’ foods and drinks for TV advertising to children

  8. Julia C, Kesse-Guyot E, Touvier M et al (2014) Application of the British Food Standards Agency nutrient profiling system in a French food composition database. Br J Nutr 112:1699–1705. https://doi.org/10.1017/S0007114514002761

    Article  CAS  PubMed  Google Scholar 

  9. World Health Organization Regional Office for Europe (2015) European Food and Nutrition Action Plan 2015–2020, Copenhagen

  10. SPF Santé Publique, Sécurité de la chaîne alimentaire et Environnement. Arrêté Royal relatif à l'utilisation du logo "Nutri-Score". 2019. http://www.etaamb.be/fr/arrete-royal-du-01-mars-2019_n2019040711.html. Accessed August 2019

  11. Julia C, Méjean C, Touvier M et al (2016) Validation of the FSA nutrient profiling system dietary index in French adults-findings from SUVIMAX study. Eur J Nutr 55:1901–1910

    Article  CAS  PubMed  Google Scholar 

  12. Deschasaux M, Julia C, Kesse-Guyot E et al (2017) Are self-reported unhealthy food choices associated with an increased risk of breast cancer? Prospective cohort study using the British Food Standards Agency nutrient profiling system. BMJ Open 7:e013718

    Article  PubMed  PubMed Central  Google Scholar 

  13. Deschasaux M, Huybrechts I, Murphy N et al (2018) Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: results from the EPIC prospective cohort study. PLoS Med 15:e1002651

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Julia C, Touvier M, Méjean C et al (2014) Development and validation of an individual dietary index based on the British Food Standard Agency nutrient profiling system in a French context. J Nutr 144:2009–2017

    Article  CAS  PubMed  Google Scholar 

  15. Fismen A-S, Smith ORF, Torsheim T et al (2016) Trends in food habits and their relation to socioeconomic status among Nordic adolescents 2001/2002–2009/2010. PLoS ONE 11:e0148541

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Mendez MA, Miles DR, Poti JM et al (2019) Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States. Am J Clin Nutr 109:79–89

    Article  PubMed  Google Scholar 

  17. Rehm CD, Drewnowski A (2016) Trends in consumption of solid fats, added sugars, sodium, sugar-sweetened beverages, and fruit from fast food restaurants and by fast food restaurant type among US children, 2003–2010. Nutrients 8:804

    Article  PubMed Central  Google Scholar 

  18. Vereecken C, Pedersen TP, Ojala K et al (2015) Fruit and vegetable consumption trends among adolescents from 2002 to 2010 in 33 countries. Eur J Public Health 25(Suppl 2):16–19

    Article  PubMed  Google Scholar 

  19. Desbouys L, de Ridder K, Rouche M et al (2019) Food consumption in adolescents and young adults: age-specific socio-economic and cultural disparities (Belgian Food Consumption Survey 2014). Nutrients 11:1520

    Article  PubMed Central  Google Scholar 

  20. De Vriese S, De Backer G, De Henauw S, Huybrechts I, Kornitzer K, Leveque A, Moreau M, Van Oyen H (2005) The Belgian food consumption survey: aims, design and methods. Arch Public Health 63:1–16

    Google Scholar 

  21. Bel S, van den Abeele S, Lebacq T et al (2016) Protocol of the Belgian food consumption survey 2014: objectives, design and methods. Arch Public Health 74:20

    Article  PubMed  PubMed Central  Google Scholar 

  22. European Food Safety Authority (2014) Guidance on the EU menu methodology. EFSA Journal 12:S58

    Google Scholar 

  23. Slimani N, Valsta LM (2002) Perspectives of using the EPIC-SOFT programme in the context of pan-European nutritional monitoring surveys: methodological and practical implications. Eur J Clin Nutr 56:S73–S64

    Article  Google Scholar 

  24. Slimani N, Casagrande C, Nicolas G et al (2011) The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring. Eur J Clin Nutr 65(Suppl 1):S5-15

    Article  PubMed  Google Scholar 

  25. Moshfegh AJ, Rhodes D, Baer DJ et al (2008) The US Department of Agriculture automated multiple-pass method reduces bias in the collection of energy intakes. Am J Clin Nutr 88:324–332

    Article  CAS  PubMed  Google Scholar 

  26. European Food Safety Authority (2015) The food classification and description system FoodEx 2 (revision 2). EFSA Support Publ 12:84

    Google Scholar 

  27. Black AE (2000) Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate: a practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord 24(9):1119–1130

    Article  CAS  PubMed  Google Scholar 

  28. Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39(Suppl 1):5–41

    PubMed  Google Scholar 

  29. FAO (2001) Human energy requirements: report of a joint FAO/WHO/UNU expert consultation. FAO, Rome

    Google Scholar 

  30. Maurer J, Taren DL, Teixeira PJ et al (2006) The psychosocial and behavioral characteristics related to energy misreporting. Nutr Rev 64:53–66

    Article  PubMed  Google Scholar 

  31. Black AE, Cole TJ (2001) Biased over- or under-reporting is characteristic or individuals whether over time or by different assessment methods. J Am Diet Assoc 101:70–80

    Article  CAS  PubMed  Google Scholar 

  32. Johnson RK (2002) Dietary intake–how do we measure what people are really eating? Obes Res 10(Suppl 1):63S-68S

    Article  PubMed  Google Scholar 

  33. Openfoodfacts Open Food Facts: L'information alimentaire ouverte. https://fr.openfoodfacts.org. Accessed July 2019

  34. Bragg MA, Liu PJ, Roberto CA et al (2013) The use of sports references in marketing of food and beverage products in supermarkets. Public Health Nutr 16:738–742

    Article  PubMed  Google Scholar 

  35. Castetbon K, Harris JL, Schwartz MB (2012) Purchases of ready-to-eat cereals vary across US household sociodemographic categories according to nutritional value and advertising targets. Public Health Nutr 15:1456–1465

    Article  PubMed  Google Scholar 

  36. Williams R (2012) Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata J 12:308–331

    Article  Google Scholar 

  37. Micha R, Khatibzadeh S, Shi P et al (2014) Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys. BMJ 348:g2272

    Article  PubMed  PubMed Central  Google Scholar 

  38. De Backer G, Claessens F, De Henauw S et al (2020) Veranderingen in serumlipiden, in voedingsgewoonten, in het gebruik van statines en in de incidentie van coronaire hartziekten in België in de periode 1980–2015. Tijdschr Geneeskd 76:147–154

    Google Scholar 

  39. Powles J, Fahimi S, Micha R et al (2013) Global, regional and national sodium intakes in 1990 and 2010: A systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide. BMJ Open 3:e003733

    Article  PubMed  PubMed Central  Google Scholar 

  40. Imamura F, Micha R, Khatibzadeh S et al (2015) Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment. Lancet Glob Health 3:e132–e142

    Article  PubMed  PubMed Central  Google Scholar 

  41. López-Sobaler AM, Aparicio A, Rubio J et al (2019) Adequacy of usual macronutrient intake and macronutrient distribution in children and adolescents in Spain: a National dietary survey on the child and adolescent population, ENALIA 2013–2014. Eur J Nutr 58:705–719

    Article  PubMed  Google Scholar 

  42. Esen, (2017) Étude de santé sur l’environnement, la biosurveillance, l’activité physique et la nutrition (Esteban), 2014–2016: Volet Nutrition. Chapitre Consommations alimentaires, Saint-Maurice

    Google Scholar 

  43. Rasmussen M, Pedersen TP, Johnsen NF et al (2018) Persistent social inequality in low intake of vegetables among adolescents, 2002–2014. Public Health Nutr 21:1649–1653

    Article  PubMed  Google Scholar 

  44. Dunford EK, Popkin BM (2018) 37 year snacking trends for US children 1977–2014. Pediatr Obes 13:247–255

    Article  CAS  PubMed  Google Scholar 

  45. Conseil Supérieur de la Santé (2019) Recommandations alimentaires pour la population belge adulte: 2019. Avis no. 9284, Bruxelles

  46. World Health Organization (2015) Fact sheet n°394: Healthy diet. http://www.who.int/mediacentre/factsheets/fs394/en/. Accessed Mar 2020

  47. De Ridder K, Bel S, Brocatus L, Cuypers K, Lebacq T, Moyersoen I, Ost C, Teppers E (2016) Enquête de Consommation Alimentaire 2014–2015. Rapport 4 : la consommation alimentaire. https://fcs.wiv-isp.be/nl/Gedeelde%20%20documenten/FRANS/Rapport%204/Resume_rapport_4_finaal_finaal.pdf

  48. World Health Organization, Regional Office for Europe (2013) Map** salt reduction initiatives in the WHO European Region. WHO, Copenhagen

    Google Scholar 

  49. World Health Organization, Regional Office for Europe (2017) Incentives and disincentives for reducing sugar in manufactured foods: An explanatory supply chain analysis. A set of insights for member states in the context of the WHO European Food and Nutrition Action Plan 2015–2020. WHO, Copenhagen

    Google Scholar 

  50. SPF Santé Publique, Sécurité de la chaîne alimentaire et Environnement (2018) La Convention sel. https://www.health.belgium.be/en/node/33358. Accessed Sept 2020

  51. Federici C, Detzel P, Petracca F et al (2019) The impact of food reformulation on nutrient intakes and health, a systematic review of modelling studies. BMC Nutr 5:2

    Article  PubMed  PubMed Central  Google Scholar 

  52. Spiteri M, Soler L-G (2018) Food reformulation and nutritional quality of food consumption: an analysis based on households panel data in France. Eur J Clin Nutr 72:228–235

    Article  PubMed  Google Scholar 

  53. Muth MK, Karns SA, Mancino L et al (2019) How much can product reformulation improve diet quality in households with children and adolescents? Nutrients 11:618

    Article  CAS  PubMed Central  Google Scholar 

  54. Bolt-Evensen K, Vik FN, Stea TH et al (2018) Consumption of sugar-sweetened beverages and artificially sweetened beverages from childhood to adulthood in relation to socioeconomic status—15 years follow-up in Norway. Int J Behav Nutr Phys Act 15:8

    Article  PubMed  PubMed Central  Google Scholar 

  55. Diaz-Rios LK, Chapman-Novakofski K, Malacara JM et al (2014) Metabolic and nutritional profile differences among Mexican, Mexican-American and Non-Hispanic White children. Rev Invest Clin 66:31–44

    CAS  PubMed  Google Scholar 

  56. Gwynn JD, Flood VM, D’Este CA et al (2012) Poor food and nutrient intake among Indigenous and non-Indigenous rural Australian children. BMC Pediatr 12:12

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Tornaritis MJ, Philippou E, Hadjigeorgiou C et al (2014) A study of the dietary intake of Cypriot children and adolescents aged 6–18 years and the association of mother’s educational status and children’s weight status on adherence to nutritional recommendations. BMC Public Health 14:13

    Article  PubMed  PubMed Central  Google Scholar 

  58. Marques-Vidal P, Rousi E, Paccaud F et al (2015) Dietary intake according to gender and education: a twenty-year trend in a Swiss adult population. Nutrients 7:9558–9572

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Marques-Vidal P, Waeber G, Vollenweider P et al (2018) Socio-demographic and lifestyle determinants of dietary patterns in French-speaking Switzerland, 2009–2012. BMC Public Health 18:131

    Article  PubMed  PubMed Central  Google Scholar 

  60. de Oliveira Figueiredo RA, Viljakainen J, Viljakainen H et al (2019) Identifying eating habits in Finnish children: a cross-sectional study. BMC Public Health 19:312

    Article  PubMed  PubMed Central  Google Scholar 

  61. Bibiloni MDM, Martinez E, Llull R et al (2012) Western and Mediterranean dietary patterns among Balearic Islands’ adolescents: socio-economic and lifestyle determinants. Public Health Nutr 15:683–692

    Article  Google Scholar 

  62. Kelly C, Callaghan M, Molcho M et al (2019) Food environments in and around post-primary schools in Ireland: associations with youth dietary habits. Appetite 132:182–189

    Article  CAS  PubMed  Google Scholar 

  63. Bibiloni MDM, Pons A, Tur JA (2016) Compliance with the Mediterranean Diet Quality Index (KIDMED) among Balearic Islands’ adolescents and its association with socioeconomic, anthropometric and lifestyle factors. Ann Nutr Metab 68:42–50

    Article  CAS  Google Scholar 

  64. Wardle J, Haase AM, Steptoe A et al (2004) Gender differences in food choice: the contribution of health beliefs and dieting. Ann Behav Med 27:107–116

    Article  PubMed  Google Scholar 

  65. Julia C, Ducrot P, Lassale C et al (2015) Prospective associations between a dietary index based on the British Food Standard Agency nutrient profiling system and 13-year weight gain in the SU.VI.MAX cohort. Prev Med 81:189–194

    Article  PubMed  Google Scholar 

  66. Santé Publique France Nutri-Score. https://www.santepubliquefrance.fr/determinants-de-sante/nutrition-et-activite-physique/articles/nutri-score. Accessed Aug 2019

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Funding

This work was supported by the French Community of Belgium, as part of the “Actions de Recherche Concertée” funding program. The French Community of Belgium had no role in the design, analysis or writing of this article. The English editing was financed by the University Foundation of Belgium.

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LD and KC designed the research and had primary responsibility for the final content. KDR managed data collection and provided original data. LD computed scores, analyzed data, and wrote the manuscript. KC, MR, CP, and KDR critically revised the manuscript, and all authors: read and approved the final manuscript.

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Correspondence to Lucille Desbouys.

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Desbouys, L., Rouche, M., De Ridder, K. et al. Ten-year changes in diet quality among adolescents and young adults (Food Consumption Survey 2004 and 2014, Belgium). Eur J Nutr 60, 3225–3235 (2021). https://doi.org/10.1007/s00394-021-02499-y

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