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Dietary interventions in school settings: can they change children's diets and metabolic outcomes?

Published online by Cambridge University Press:  17 October 2014

Lisa G. Smithers*
Affiliation:
School of Population Health, University of Adelaide, Mail Drop DX 650550, South Australia5005, Australia fax +618 8313 5311 email [email protected]
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Abstract

Type
Invited Commentary
Copyright
Copyright © The Author 2014 

The burden of non-communicable diseases (NCD) caused by poor nutrition is one of the greatest public health challenges of contemporary times( Reference Lim, Vos and Flaxman 1 ). Poor diets and poor cardiovascular health have their origins in early childhood. The types of foods that children consume and their diet-related risk factors for NCD (such as obesity, high blood pressure and hyperlipidaemia) track from childhood into adulthood( Reference Lobstein, Baur and Uauy 2 Reference Mikkila, Rasanen and Raitakari 5 ). If we can develop interventions that improve the diets of children, we expect that children will have better health over the longer term, perhaps through shifting children to healthier diets before poor habits become entrenched, or by reducing the time or developmental period in which children are exposed to unhealthy diets. There are multiple time points for possible interventions beginning with maternal diet periconceptually, so programmes that promote healthy eating in school settings present one important opportunity to influence children's current diets, future diets and future health.

In this issue, Damsgaard et al. ( Reference Damsgaard, Dalskov and Laursen 6 ) report the findings of a randomised controlled cross-over trial in which the provision of food during school to Danish children aged 8–11 years was compared with children's usual school lunch, which is typically a packed lunch brought from home. The intervention was both comprehensive and targeted; it included two snacks and lunch consumed daily at school over a 3-month period, with the food modelled on the New Nordic Diet (a health promoting diet using local seasonal ingredients). The primary outcome of the trial was a metabolic score (MetS), which is a summary score of measures of arterial pressure, HDL-cholesterol, TAG, homeostasis model assessment of insulin resistance (HOMA-IR) and waist circumference; in addition, the trial included secondary outcomes such as BMI z-scores and fat mass. The researchers reported no overall effect of the intervention on the MetS because the intervention had differential effects on the individual components of the score. In other words, small reductions in arterial pressure, TAG and HOMA-IR were offset by undesirable changes to waist circumference (increased by 0·5 cm) and HDL-cholesterol (slight decrease of 0·02 mmol/l), resulting in no overall change in the MetS. Despite this, the breadth of the outcomes that were measured in this trial is helpful for understanding which markers of cardiovascular health may be responsive to this type of intervention. Moreover, this underscores the importance of examining multiple outcomes for broad-based dietary interventions.

Looking more closely at the dietary data, we see that the effect of the intervention on children's diets was negligible: only 14 g/d increase in vegetable intake (equivalent to approximately one tablespoon of peas or two florets broccoli), 10 g/d fish intake (approximately two teaspoons), < 1 g/d fibre take and < 1 % change in the percentage of energy intake from fat and protein( Reference Damsgaard, Dalskov and Laursen 6 ). These small changes in diet reflect the fact that the intervention only altered school meals (not meals provided at home or on weekends), and therefore it is not surprising that there were small effects on cardiovascular outcomes. Given that the intervention was only 3 months long, we could be hopeful that a longer intervention (or indeed a permanent change to improve the food supplied at school) might result in more pronounced effects, although this would require confirmation. Others may argue that small incremental changes to diet, such as this, are more likely to be adopted and maintained than larger, more extreme changes. It is heartening to read that fewer than 2 % of children (n 13/834) withdrew from the study because they did not enjoy the meals provided. Nonetheless, the small effects observed in this trial are similar to other studies of dietary interventions in school settings( Reference Langford, Bonell and Jones 7 , Reference Waters, de Silva-Sanigorski and Hall 8 ).

Some of the trials that test school-based programmes to improve the diets of children have only reported measures of adiposity, yet there is a strong case for including more metabolic health outcomes as Damsgaard et al. have done, because this will capture a wider range of risk factors for NCD than obesity alone. Recent debates highlight that healthy-weight UK children have unhealthy metabolic profiles( Reference McCarthy 9 Reference Adams and Macfarlance 11 ), hence interventions that attend to metabolic outcomes rather than just obesity provide more information about what ‘works’ to improve other markers of poor health. Taken as a whole, the literature regarding the efficacy of school-based interventions to improve children's adiposity outcomes through dietary interventions is mixed. A systematic review of interventions based on the WHO's ‘Health Promoting Schools’ framework reported low-quality evidence and small effects on increasing children's fruit and vegetable intake, and moderate-quality evidence on influencing measures of adiposity, although this appears largely due to combined physical activity+nutrition interventions, than to nutrition interventions( Reference Langford, Bonell and Jones 7 ). In contrast, a systematic review of obesity prevention programmes in childhood found that dietary interventions in schools show promise for obesity outcomes, although the heterogeneity between studies mean that more evidence is needed( Reference Waters, de Silva-Sanigorski and Hall 8 ). What is even more difficult to judge is whether an intervention in one country (such as the effect of the New Nordic Diet in Danish children) will be transferable to another country. These types of interventions may be very specific to the local context and culture. The acceptability of dietary interventions probably contributes to the heterogeneity observed in many school-based trials, and limits our ability to draw inference to another setting. What is clear is that school-based interventions require a great deal of local development and testing.

The trial by Damsgaard et al. combined with the wider body of evidence about school-based interventions raises interesting questions about our expectations of dietary interventions to improve the metabolic health of children. This is not about intervening at younger ages in order to obtain larger effects – trials that involve parents of newborn babies have also had negligible effects on toddler's diets or their BMI( Reference Campbell, Lioret and McNaughton 12 Reference Daniels, Mallan and Nicholson 14 ). For example, Wen et al. ( Reference Wen, Baur and Simpson 13 ) reported that BMI of 2-year-olds were significantly lower by 0·29 kg/m2 after an intensive intervention that involved eight home visits by specially trained community nurses, but the absolute difference in weight is approximately 200 g. Damsgaard et al.’s ambitious and rigorous trial offers us a best-case scenario to show what might be possible if we were able to shift children from their typical diet to school meals that supply nutritious, health-promoting, culturally acceptable foods. As public health nutritionists, we need to reflect on this and consider whether school-based programmes will achieve the biggest ‘bang for our buck’. Where can the biggest improvements to metabolic health of children be made?( Reference Mozaffarian and Capewell 15 ) Do school-based programmes offer value for money compared with other interventions, when they work on only one-third of the typical three meals per day? Would governments have the will, capacity and resources to implement and maintain this type of programme? It is hard to see how dietary intervention in schools will solve our metabolic problems. To make greater progress on improving the metabolic health of our children, it is likely that brave new efforts by governments that impose bigger and broader changes to our food environment will be required.

Acknowledgements

This work received no specific grant from any funding agency, commercial or not-for-profit sectors.

The author has no conflict of interest to declare.

References

1 Lim, SS, Vos, T, Flaxman, AD, et al. (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 22242226.Google Scholar
2 Lobstein, T, Baur, L & Uauy, R (2004) Obesity in children and young people: a crisis in public health. Obes Rev 5, 485.Google Scholar
3 Lawlor, DA & Smith, GD (2005) Early life determinants of adult blood pressure. Curr Opin Nephrol Hypertens 14, 259264.Google Scholar
4 Porkka, KV, Viikari, JS, Taimela, S, et al. (1994) Tracking and predictiveness of serum lipid and lipoprotein measurements in childhood: a 12-year follow-up. The Cardiovascular Risk in Young Finns study. Am J Epidemiol 140, 10961110.Google Scholar
5 Mikkila, V, Rasanen, L, Raitakari, OT, et al. (2005) Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr 93, 923931.CrossRefGoogle ScholarPubMed
6 Damsgaard, CT, Dalskov, S-M, Laursen, RP, et al. (2014) Provision of healthy school meals does not affect a metabolic syndrome score in 8–11-year-old children but reduces cardio-metabolic risk markers despite increasing waist circumference. Br J Nutr 112, 18261836.Google Scholar
7 Langford, R, Bonell, CP & Jones, HE, et al. (2014) The WHO Health Promoting School framework for improving the health and well-being of students and their academic achievement. The Cochrane Database of Systematic Reviews 2014, issue 4, CD008958.CrossRefGoogle Scholar
8 Waters, E, de Silva-Sanigorski, A & Hall, BJ, et al. (2011) Interventions for preventing obesity in children. The Cochrane Database of Systematic Reviews 2011, issue 12, CD001871.Google Scholar
9 McCarthy, HD (2014) Measuring growth and obesity across childhood and adolescence. Proc Nutr Soc 73, 210217.CrossRefGoogle ScholarPubMed
10 McCarthy, HD, Samani-Rada, D, Jebb, SA, et al. (2014) Skeletal muscle mass reference curves for children and adolescents. Pediatr Obes 9, 249259.Google Scholar
11 Adams, S & Macfarlance, J (2014) Britain's TOFI* kids health time-bomb: *that's thin outside but fat inside and a MILLION ‘fit’ children face its hidden risks. In Daily Mail. UK: Ninemsn.Google Scholar
12 Campbell, KJ, Lioret, S, McNaughton, SA, et al. (2013) A parent-focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics 131, 652660.Google Scholar
13 Wen, LM, Baur, LA, Simpson, JM, et al. (2012) Effectiveness of home based early intervention on children's BMI at age 2: randomised controlled trial. BMJ 344, 111.Google Scholar
14 Daniels, LA, Mallan, KM, Nicholson, JM, et al. (2013) Outcomes of an early feeding practices intervention to prevent childhood obesity. Pediatrics 132, e109e118.Google Scholar
15 Mozaffarian, D & Capewell, S (2011) United Nations’ dietary policies to prevent cardiovascular disease: modest diet changes could halve the global burden. BMJ 343, d5747.CrossRefGoogle Scholar