Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Maternal nutrition, infants and children

Views of parents in four European countries about the effect of food on the mental performance of primary school children

Abstract

Background/Objectives:

Several factors affect the mental performance of children. The importance that parents attribute to food-related determinants, compared with genetic, socio-economic and school environment, was investigated.

Subjects/Methods:

Parents of school children (aged 4–11) were recruited through state primary schools in four European countries. Interviews were conducted in which participants were asked to sort 18 cards representing possible determinants of four elements of mental performance (attention, learning, mood and behaviour) according to perceived strength of effect. Determinants were identified from the literature and grouped in six categories: food-related, school environment, physical, social, psychological and biological. Effects were scored: 0=none; 1=moderate; and 2=strong. Views were compared between and within countries.

Results:

Two hundred parents took part (England: 53; Germany: 45; Hungary: 52; Spain: 50). Differences existed between countries in the proportions reporting university education and being in employment. Taking all countries together, parents consider the food category (mean 1.33) to have a lower impact on a child’s mental performance than physical (activity and sleep, 1.77), psychological (mood and behaviour, 1.69) and school environment (1.57). Social (1.12) and biological (0.91) determinants were ranked lower than food. Of determinants in the food category, parents thought regularity of meals had more influence on mental performance (1.58) than what a child eats now (1.36), food at school (1.35), nutrition as a baby/infant (1.02).

Conclusion:

Scope exists to improve parental awareness of the repercussions of their dietary choices for the mental performance of their children.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Isaacs E, Oates J . Nutrition and cognition: assessing cognitive abilities in children and young people. Eur J Nutr 2008; 47 (Suppl 3), 4–24.

    Article  Google Scholar 

  2. Bellisle F . Effects of diet on behaviour and cognition in children. Br J Nutr 2004; 92 (Suppl 2), S227–S232.

    Article  CAS  Google Scholar 

  3. Florence MD, Asbridge M, Veugelers PJ . Diet Quality and Academic Performance. J School Health 2008; 78: 209–215.

    Article  Google Scholar 

  4. Tomlinson D, Wilkinson H, Wilkinson P . Diet and Mental Health in Children. Child Adolesc Mental Health 2009; 14: 148–155.

    Article  Google Scholar 

  5. Benton D . The influence of dietary status on the cognitive performance of children. Mol Nutr Food Res 2010; 54: 457–470.

    Article  CAS  Google Scholar 

  6. Brown R, Ogden J . Children’s eating attitudes and behaviour. A study of the modelling and control theories of parental influence. Health Edu Res 2004; 19: 261–271.

    Article  Google Scholar 

  7. Golan M, Crow S . Parents are key players in the prevention and treatment of weight-related problems. Nutr Rev 2004; 62: 39–50.

    Article  Google Scholar 

  8. Birch LL, Davison KK . Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatr Clin North Am 2001; 48: 893–907.

    Article  CAS  Google Scholar 

  9. Brown KA, Ogden J, Vogel C, Gibson EL . The role of parental control practices in explaining children’s diet and BMI. Appetite 2008; 50: 252–259.

    Article  Google Scholar 

  10. Brands B, Egan B, Gyorei E, Lopez-Robles J-C, Gage H, Campoy C et al. A qualitative interview study of diet on children’s mental state and performance. Evaluation of perceptions, attitudes and beliefs of parents in four European countries. Appetite 2012; 58: 739–746.

    Article  Google Scholar 

  11. Barnett J . The Multiple Sorting Procedure (MSP). Chapter 12 . In: Breakwell GM. Research Methods in Social Psychology. BPS Blackwell: Oxford, UK, 2004; p 389.

    Google Scholar 

  12. Schmitt JA, Benton D, Kallus KW . General methodological considerations for the assessment of nutritional influences on human cognitive functions. Eur J Nutr 2005; 44: 459–464.

    Article  Google Scholar 

  13. Hart KH, Herriot A, Bishop JA, Truby H . Promoting healthy diet and exercise patterns amongst primary school children. A qualitative investigation of parental perspectives. J Hum Nutr Diet 2003; 16: 89–96.

    Article  CAS  Google Scholar 

  14. Russell CG, Flight I, Leppard P, van Lawick van Pabst JA, Syrette J et al. A comparison of paper-and-pencil and computerised method of ‘hard’ laddering. Food Qual Prefer 2004; 15: 279–291.

    Article  Google Scholar 

  15. Russell CG, Busson A, Flight I, Bryan J, van Lawick van Pabst JA et al. A comparison of three laddering techniques applied to an example of a complex food choice. Food Qual Prefer 2004; 15: 569–583.

    Article  Google Scholar 

  16. Giannopulu I, Escolano S, Cusin F, Citeau H, Dellatolas G . Teacher’s reporting of behavioural problems and cognitive – academic performance in children aged 5–7 years. Br J Edu Psychol 2008; 78: 127–147.

    Article  CAS  Google Scholar 

  17. Hale-Evans R. Mind Performance Hacks ISBM 0596101538.

  18. Blatchford P, Russell A, Basett P, Brown P, Martin C . The effect of class size on the teaching of pupils aged 7-11 years. School Effectiveness School Improvement 2007; 18: 147–172.

    Article  Google Scholar 

  19. Bradley R, Corwyn R . Socio economic status and child development. Ann Rev Psychol 2002; 53: 371–399.

    Article  Google Scholar 

  20. Zaslow M, Bronte-Tinkew J, Capps R, Horowitz A, Moore K, Weinstein D . Food security during infancy: implications for attachment and mental proficiency in Toddlerhood. Matern Child Health J 2009; 13: 66–80.

    Article  Google Scholar 

  21. Scott-Jones D . Family influences on cognitive development and school achievement. Rev Res Edu 1984; 11: 259–304.

    Google Scholar 

  22. Hughes D, Bryan J . The assessment of cognitive performance in children. Considerations for detecting nutritional influences. Nutr Rev 2003; 61: 413–422.

    Article  Google Scholar 

  23. Grantham-McGregor SM, Fernald LC, Sethuramen K . Effects of health and nutrition on cognitive and behavioural development of children in the first 3 years of life. Part 1: low birth weight, breastfeeding, and protein—energy malnutrition. Food Nutr Bull 1999; 20: 53.

    Article  Google Scholar 

  24. Gordon N . Nutrition and cognitive function. Brain Dev 1997; 19: 165–170.

    Article  CAS  Google Scholar 

  25. McCarthney M . Mixed messages over breastmilk and brainy babies. Br Med J 2007; 335: 1074.

    Article  Google Scholar 

  26. Jacobson S, Jacobson V . Breastfeeding and intelligence in children. Br Med J 2006; 333: 928–930.

    Article  Google Scholar 

  27. Associate Parliamentary Food and Health Forum The links between diet and behaviour. The influence of nutrition on mental health 2008.

  28. Arija V, Esparo G, Fernandez-Ballart J, Murphy MM, Biarnes E, Carels J . Nutritional status and performance in testsof verbal and non verbal intelligence in 6 year old children. Intelligence 2006; 34: 141–149.

    Article  Google Scholar 

  29. Taras H . Nutrition and student performance at school. J School Health 2005; 75: 199–213.

    Article  Google Scholar 

  30. Bateman B, Warner JO, Hutchinson E, Dean T, Rowlandson P, Gant C et al. The effects of a double blind, placebo controlled, artificial food colourings and benzoate preservative challenge on hyperactivity in a general population sample of preschool children. Arch Dis Childhood 2006; 89: 506–511.

    Article  Google Scholar 

  31. McCann D, Barrett A, Cooper A, Crumpler D, Dalan L, Grimshaw K et al. Food additives and hyperactive behaviour in 3 year old and 8/9 year old children in the community: a randomised double—blinded placebo controlled trial. Lancet 2007; 37: 1560–1567.

    Article  Google Scholar 

  32. Bryan J, Osendarp S, Hughes D, Calvaresi E, Baghurst K, van Klinken JW . Nutrients for cognitive development in school-aged children. Nutr Rev 2004; 62: 295–306.

    Article  Google Scholar 

  33. Golley R, Baines E, Bassett P, Wood L, Nelson M School lunch behaviour: systematic observation of classroom behaviour following a school dining room intervention www.schoolfoodtrust.org.uk (accessed 10/04/09).

  34. Hoyland A, Lawton CL, Dye L . Acute effects of macronutrient manipulations on cognitive test performance in healthy young adults. A systematic research review. Neurosci Biobehav Rev 2008; 32: 72–85.

    Article  CAS  Google Scholar 

  35. Kleinman R, Hall S, Green H, Korzec-Ramirez D, Patten K, Pagano ME et al. Diet, breakfast, and academic performance in children. Ann Nutr Metab 2002; 46 (suppl 1), 1–24.

    Google Scholar 

  36. Grantham-McGregor S . Can the provision of breakfast benefit school performance? Food Nutr Bull 2005; 26 (Suppl 2), S144–S158.

    Article  Google Scholar 

  37. Dye L, Lawton CL . A systematic review of the effect of breakfast on the cognitive performance of children and adolescents. Nutr Res Rev 2009; 22: 230–243.

    Google Scholar 

  38. Rogers PJ . Food, mood and appetite. Nutr Res Rev 1995; 8: 243–269.

    Article  CAS  Google Scholar 

  39. Benton D, Donohoe RT . The effects of nutrients on mood. Public Health Nutr 1999; 2: 403–409.

    Article  CAS  Google Scholar 

  40. Mack N, Woodsong C, MacQueen KM, Guest G, Namey E . Qualitative Research Methods: A Data Collector’s Field Guide. Module 1: Qualitative Research Methods Overview. Family Health International, US Agency for International Development, 2005.

    Google Scholar 

  41. Rugg G, McGeorge P . The sorting techniques: a tutorial paper on card sorts, picture sorts and item sorts. Expert Systems 1997; 14: 80.

    Article  Google Scholar 

  42. Taras H, Potts-Datema W . Sleep and student performance at school. J Sch Health 2005; 75: 248–254.

    Article  Google Scholar 

  43. Donnelly JE, Lambourne K . Classroom-based physical activity, cognition, and academic achievement. Prev Med 2011; 52: S36–S42.

    Article  Google Scholar 

  44. Rogers PJ . Food, mood and appetite. Nutr Res Rev 1995; 8: 243–269.

    Article  CAS  Google Scholar 

  45. Benton D, Parker PY . Breakfast, blood glucose, and cognition. Am J Clin Nutr 1998; 67: 772S–778S.

    Article  CAS  Google Scholar 

  46. Coveney J . A qualitative study exploring socio-economic differences in parental lay knowledge of food and health: implications for public health nutrition. Public Health Nutr 2004; 8: 290–297.

    Google Scholar 

  47. Ells L, Hillier P, Shucksmith J, Crawley H, Harbige L, Shield J et al. A systematic review of the effect of dietary exposure that could be achieved through normal dietary intake on learning and performance of school aged children of relevance to UK schools. Br J Nutr 2008; 100: 927–936.

    Article  CAS  Google Scholar 

  48. Bellisle F, Blundell JE, Dye L, Fantino M, Fern E, Fletcher RJ et al. Functional food science and behaviour and psychological functions. Br J Nutr 1998; 80 (Suppl 1), S173–S193.

    Article  CAS  Google Scholar 

  49. Dye L, Blundell J . Functional foods. Psychological and behavioural functions. Br J Nutr 2002; 88: S187–S211.

    Article  CAS  Google Scholar 

  50. Gibson EL, Green MW . Nutritional influences on cognitive function. Mechanisms of susceptibility. Nutr Res Rev 2002; 15: 169–206.

    Article  CAS  Google Scholar 

  51. Westenhoefer J, Bellisle F, Blundell JE, de Vries J, Edwards D, Kallus W et al. PASSCLAIM. Mental state and performance. Eur J Nutr 2004; 43: 85–117.

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to the schools that enabled us to undertake this study, and to the parents who took part in the experiment. We thank two anonymous reviewers for their helpful comments that have enabled us to significantly improve the paper. This study was supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H Gage.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Author Contributions

HG contributed to the analysis and wrote the first draft; BE assisted with writing the paper; BE, EG, BB, J-CL-R collected data and contributed to analysis; HG, BE, MR conceived the study; PW undertook the statistical analysis; all authors contributed to the design and read and approved the final manuscript.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gage, H., Egan, B., Williams, P. et al. Views of parents in four European countries about the effect of food on the mental performance of primary school children. Eur J Clin Nutr 68, 32–37 (2014). https://doi.org/10.1038/ejcn.2013.214

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ejcn.2013.214

Keywords

Search

Quick links