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.
Similar content being viewed by others
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
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
World Health Organization (2005) Nutrition in adolescence: issues and challenges for the health sector: issues in adolescent health and development, Geneva
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
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
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
Sawyer SM, Azzopardi PS, Wickremarathne D et al (2018) The age of adolescence. Lancet Child Adolesc Health S2352–4642:30022–30031
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
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
World Health Organization Regional Office for Europe (2015) European Food and Nutrition Action Plan 2015–2020, Copenhagen
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
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
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
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
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
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
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
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
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
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
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
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
European Food Safety Authority (2014) Guidance on the EU menu methodology. EFSA Journal 12:S58
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
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
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
European Food Safety Authority (2015) The food classification and description system FoodEx 2 (revision 2). EFSA Support Publ 12:84
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
Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39(Suppl 1):5–41
FAO (2001) Human energy requirements: report of a joint FAO/WHO/UNU expert consultation. FAO, Rome
Maurer J, Taren DL, Teixeira PJ et al (2006) The psychosocial and behavioral characteristics related to energy misreporting. Nutr Rev 64:53–66
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
Johnson RK (2002) Dietary intake–how do we measure what people are really eating? Obes Res 10(Suppl 1):63S-68S
Openfoodfacts Open Food Facts: L'information alimentaire ouverte. https://fr.openfoodfacts.org. Accessed July 2019
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
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
Williams R (2012) Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata J 12:308–331
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
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
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
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
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
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
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
Dunford EK, Popkin BM (2018) 37 year snacking trends for US children 1977–2014. Pediatr Obes 13:247–255
Conseil Supérieur de la Santé (2019) Recommandations alimentaires pour la population belge adulte: 2019. Avis no. 9284, Bruxelles
World Health Organization (2015) Fact sheet n°394: Healthy diet. http://www.who.int/mediacentre/factsheets/fs394/en/. Accessed Mar 2020
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
World Health Organization, Regional Office for Europe (2013) Map** salt reduction initiatives in the WHO European Region. WHO, Copenhagen
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Santé Publique France Nutri-Score. https://www.santepubliquefrance.fr/determinants-de-sante/nutrition-et-activite-physique/articles/nutri-score. Accessed Aug 2019
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.
Author information
Authors and Affiliations
Contributions
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.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
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
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00394-021-02499-y